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2020 – today
- 2026
[b2]Jiao Shi, Yu Lei, Maoguo Gong, Nan Zhang:
Computational Intelligence for Remote Sensing Image Change Detection. Springer 2026, ISBN 978-981-92-1403-7, pp. 1-151- [j514]Tao Lei, Shuxin Zhang
, Shaoxiong Lin, Tongfei Liu, Zhiyong Lv, Tao Gao, Maoguo Gong, Asoke K. Nandi:
Remote sensing image change detection using deep learning techniques: a comprehensive survey. Artif. Intell. Rev. 59(3): 102 (2026) - [j513]Xiurong Bao, Sihang Xing, Maoguo Gong:
A dual-input optoelectronic reservoir computing for continuous ventricular premature beats detection. Biomed. Signal Process. Control. 126: 111029 (2026) - [j512]Xin Zhang, Lina Zhang, Lu Yang, Fan Yang, Jue Zhang, Xinhua Jiang, Licheng Jiao, Maoguo Gong:
An automated dynamic adaptive tracking and counting method for grazing sheep based on UAV imagery and YOLO11-OBB. Comput. Electron. Agric. 252: 112086 (2026) - [j511]Hao Li, Jingying Li, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing:
Privacy-Preserving Evolutionary Multitasking Optimization: Models and Attacks [Research Frontier]. IEEE Comput. Intell. Mag. 21(2): 68-83 (2026) - [j510]Guangxiang Li, Weifeng Gao, Genghui Li, Lingling Huang, Fuhao Gao, Maoguo Gong:
Surrogate-assisted evolutionary algorithm with least squares boosting and random multi-neighborhood search for expensive binary optimization. Comput. Oper. Res. 193: 107519 (2026) - [j509]Yifei Sun, Ziang Wang, Yongan Li, Sicheng Hou, Xinqi Yang, Maoguo Gong, A. K. Qin:
Difficulty-aware deisolated affinity propagation based collaborative learning via dynamic constrained multi-objective optimization. Expert Syst. Appl. 331: 133097 (2026) - [j508]Lei Ao, Wenkang Wan, Nan Ouyang, Jianzhao Li, Qingqing Li, Maoguo Gong, Kai Sheng:
SVP: stratified vertical priors for LiDAR-based 3D object detection. Neurocomputing 659: 131737 (2026) - [j507]Jianzhao Li, Yiting Liu, Boya Deng, Maoguo Gong, Zedong Tang, Mingyang Zhang, Yourun Zhang, Zhuping Hu:
Federated Cross-Device Heterogeneous Few-Shot Adaptation for Edge IoT Systems. IEEE Internet Things J. 13(13): 29439-29451 (2026) - [j506]Jialu Liu, Maoguo Gong, Jianzhao Li, Licheng Jiao, Xu Liu, Fang Liu:
Contrastive perception representation learning for image inpainting. Knowl. Based Syst. 340: 115653 (2026) - [j505]Hui Zhou, Boyang Ren, Zhongying Zhao, Maoguo Gong:
Hessian-Informed Residual Alignment for Heterogeneous Contrastive Graph Condensation. Knowl. Based Syst. 348: 116366 (2026) - [j504]Tiehu Li, Ning Dang, Dechuan Fang, Yang Zhou, Peng Chen, Xiaojun Fu, Maoguo Gong, Junyi Jiang, Jun-an Zhang:
Digital calibration of high-resolution ADCs using statistical-feature-enhanced neural networks. Microelectron. J. 172: 107139 (2026) - [j503]Tiehu Li, Yang Zhou, Ning Dang, Dechuan Fang, Peng Chen, Xiaojun Fu, Daiguo Xu, Maoguo Gong, Junyi Jiang, Jun-an Zhang:
A TI-ADC calibration method based on structured pruning neural network with multi-tone signal pre-training. Microelectron. J. 172: 107144 (2026) - [j502]Deguang Chen, Jianrui Chen, Zhongshi Shao, Maoguo Gong:
RCVQA: Visual question answering model based on reading comprehension. Neural Networks 196: 108365 (2026) - [j501]Yiheng Lu, Zhihui Zhang, Ziyu Guan, Wei Zhao, Yaming Yang, Cai Xu, Maoguo Gong:
SSA-KD: Self-structure-aware knowledge distillation for convolutional neural networks. Neural Networks 200: 108804 (2026) - [j500]Boya Deng, Jianzhao Li, Maoguo Gong, Zedong Tang, Yourun Zhang, Kaiyuan Feng, Yue Wu:
BCFNet: Bi-temporal collaborative fusion network for multi-modal humor detection. Pattern Recognit. 172: 112744 (2026) - [j499]Shanfeng Wang, Wanrun Yu, Cong Ma, Jianzhao Li, Zhao Wang, Maoguo Gong:
PF2SMIS: Personalized federated few-shot learning for medical image segmentation. Pattern Recognit. 177: 113247 (2026) - [j498]Hao Liu, Yunhao Gao, Wei Li, Mingyang Zhang, Maoguo Gong, Lorenzo Bruzzone:
A spatial-spectral-frequency interactive network for multimodal remote sensing classification. Pattern Recognit. 180: 114309 (2026) - [j497]Yiting Liu, Jianzhao Li, Maoguo Gong, Yourun Zhang, Zedong Tang:
Towards evolution-based multi-level collaborative multi-task sparse learning. Swarm Evol. Comput. 105: 102385 (2026) - [j496]Shanfeng Wang, Shanyang Gao, Lanyu Yao, Maoguo Gong, Ke Pan, Yu Zhou:
Towards Adaptive Personalized Federated Meta-Learning Recommendation. IEEE Trans. Comput. Soc. Syst. 13(3): 3655-3667 (2026) - [j495]Yifei Sun, Mingkai Duan, Sicheng Hou, Shi Cheng, Maoguo Gong, Zhi-Hui Zhan:
Multi-Objective Neural Architecture Search for Cognitive Diagnosis: Balancing Accuracy and Interpretability With Probabilistic Models. IEEE Trans. Comput. Soc. Syst. 13(4): 4715-4726 (2026) - [j494]Jianli Zhao, Tian-Heng Zhang, Sheng Fang, Jian-Feng Gao, Jin-Yu Wang, Maoguo Gong:
Spatial-Spectral Texture-Preserved Total Variation: A Novel Regularization for Hyperspectral Image Denoising. IEEE Trans. Circuits Syst. Video Technol. 36(1): 248-260 (2026) - [j493]Hao Li, Kelin Dang, Maoguo Gong, A. K. Qin, Yu Zhou, Yue Wu, Lining Xing:
Sparse Unmixing Guided Adversarial Attack for Hyperspectral Image Classification. IEEE Trans. Circuits Syst. Video Technol. 36(2): 2318-2331 (2026) - [j492]Mingyang Zhang, Ziqi Di, Hao Liu, Fenlong Jiang, Yu Zhou, Maoguo Gong:
Uncertainty-Aware Local Bayesian Framework for Hyperspectral Image Classification With Noisy Labels. IEEE Trans. Circuits Syst. Video Technol. 36(3): 3055-3069 (2026) - [j491]Zhaoyang Wang, Wen Lu, Jie Li, Lihuo He, Maoguo Gong, Xinbo Gao:
EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 36(5): 6689-6704 (2026) - [j490]Yiheng Lu, Ziyu Guan, Maoguo Gong, Wei Zhao, Zhuping Hu, Fenlong Jiang:
Efficiency-Aware Federated Learning for Image Classification via Model Adaptation. IEEE Trans. Circuits Syst. Video Technol. 36(8): 11607-11624 (2026) - [j489]Hongyu Zhao, Shuai Hao, Yanqing Yao, Maoguo Gong, Kaiyuan Feng:
Shallow-to-Deep and Slack Matching for Self-Distillation. IEEE Trans. Circuits Syst. Video Technol. 36(9): 14096-14110 (2026) - [j488]Shanfeng Wang, Ke Liu, Zhengyi Dong, Jianzhao Li, Yuan Gao, Maoguo Gong:
Unifying Personalization and Generalization in Federated Few-Shot Learning via Complementary Collaboration. IEEE Trans. Circuits Syst. Video Technol. 36(9): 14252-14266 (2026) - [j487]Menghao Tan, Weifeng Gao, Hong Li, Jin Xie, Lingling Huang, Maoguo Gong:
Evolutionary Multiobjective Neural Architecture Search for Binary Neural Networks by Two-Stage Optimization. IEEE Trans. Cybern. 56(6): 3210-3223 (2026) - [j486]Hao Li, Fanggao Wan, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing:
Many-Problem Surrogates for Transfer Evolutionary Multiobjective Optimization With Sparse Transfer Stacking. IEEE Trans. Evol. Comput. 30(1): 241-255 (2026) - [j485]Hao Li, Zhibin Xu, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing, Yu Zhou:
Privacy-Enhanced Offline Data-Driven Evolutionary Optimization Based on Cloud Server. IEEE Trans. Evol. Comput. 30(3): 1165-1179 (2026) - [j484]Wencheng Han, Hao Li, Maoguo Gong, Yu Zhou, Yue Wu, A. K. Qin, Lining Xing:
Multigranularity Adversarial Attacks on Large Language Models Using Genetic Programming. IEEE Trans. Evol. Comput. 30(4): 1465-1479 (2026) - [j483]Hao Li, Jingying Li, Maoguo Gong, Kelin Dang, A. K. Qin, Yue Wu, Lining Xing:
Collaborative Evolutionary Multitasking Multiobjective Adversarial Attacks in Hyperspectral Image Classification. IEEE Trans. Evol. Comput. 30(5): 1863-1877 (2026) - [j482]Yue Wu, Benhua Xiang, Yibo Liu, Peiran Gong, Maoguo Gong, Qiguang Miao, Wenping Ma:
Evolutionary Multitasking With Self-Learning and Multi-Scale Transfer for Point Cloud Registration. IEEE Trans. Emerg. Top. Comput. Intell. 10(1): 66-79 (2026) - [j481]Zhening Liu, Handing Wang, Maoguo Gong, Yaochu Jin:
Data Stream Driven Dynamic Multiobjective Optimization Using Surrogate Transfer. IEEE Trans. Emerg. Top. Comput. Intell. 10(2): 1084-1097 (2026) - [j480]Jiao Shi, Nan Zhang, Yu Lei, A. K. Qin, Maoguo Gong:
Semi-Supervised Hyperspectral Adaptive Band Selection Based on Evolutionary Multitasking. IEEE Trans. Emerg. Top. Comput. Intell. 10(2): 1878-1891 (2026) - [j479]Yue Wu, Peiran Gong, Yongzhe Yuan, Maoguo Gong, Wenping Ma, Qiguang Miao:
Evolutionary Neural Architecture Search Framework With Masked Encoding Mechanism for Point Cloud Registration. IEEE Trans. Emerg. Top. Comput. Intell. 10(4): 2816-2828 (2026) - [j478]Jianrui Chen, Peijie Wang, Maoguo Gong, Xuehui Zhao:
Hyperbolic-based Feature Learning for Temporal Knowledge Graph Relation Prediction. ACM Trans. Knowl. Discov. Data 20(2): 32:1-32:23 (2026) - [j477]Zhaoyang Wang, Jie Li, Wen Lu, Lihuo He, Maoguo Gong, Xinbo Gao:
FCA$^{\bf 2}$: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution. IEEE Trans. Multim. 28: 7290-7304 (2026) - [j476]Shanfeng Wang, Lanyu Yao, Shanyang Gao, Zhao Wang, Ke Pan, Yu Zhou, Maoguo Gong:
Modality-Incomplete Multimodal Federated Recommendation With Bidirectional Modality Reconstruction. IEEE Trans. Multim. 28: 9243-9254 (2026) - [j475]Xu Zhang, Chang Gao, Qing Cai, Zhao Wang, Jinsheng Li, Maoguo Gong:
One-Bit Single-Measurement Spectral Compressed Sensing via Hankel Matrix Factorization. IEEE Trans. Signal Process. 74: 1461-1476 (2026) - [c124]Yue Wu, Tao Peng, Yongzhe Yuan, Kaiyuan Feng, Hao Li, Maoguo Gong, Qiguang Miao, Wenping Ma:
SRGCD: Stability-Driven Region Growth Framework for 3D Change Detection. CVPR 2026: 7546-7555 - [c123]Yue Wu, Feng Xiao, Yongzhe Yuan, Hao Li, Kaiyuan Feng, Maoguo Gong, Qiguang Miao, Wenping Ma:
MHopReg: Efficient Hierarchical Multi-Hop Graph Search for Point Cloud Registration. CVPR 2026: 24217-24226 - [i45]Yuanqiao Zhang, Tiantian He, Yuan Gao, Yixin Wang, Yew-Soon Ong, Maoguo Gong, A. K. Qin, Hui Li:
Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data. CoRR abs/2603.28316 (2026) - [i44]Junfei Shi, Yu Cheng, Haojia Zhang, Wenqiang Hua, Junhuai Li, Maoguo Gong:
Direction-adaptive Mamba: Spatial-Frequency Dual-Domain Collaborative Learning for PolSAR Image Classification. CoRR abs/2607.23464 (2026) - [i43]Yue Zhao, Hua Yu, Yukun Zhao, Yuzhi Zhang, Maoguo Gong, Xin Mei, Zhuping Hu, Yanchi Li, A. K. Qin:
Residual Optimal Transport-Based Experts Collaboration Towards Modality-Aware Infrared-Visible Object Detection. CoRR abs/2609.03516 (2026) - [i42]Xu Zhang, Xingyu Hou, Jiacheng Cheng, Kaiyuan Feng, Maoguo Gong:
Communication-Efficient Personalized Federated Learning via Layer-Wise Multi-Threshold Random Sketching. CoRR abs/2609.04830 (2026) - 2025
- [j474]Ning Cao, Shujuan Ji, Fuzhen Zhuang, Dickson K. W. Chiu, Yajie Guo, Maoguo Gong:
An unsupervised domain adaptation method for cross-domain deceptive reviews detection. Appl. Intell. 55(14): 956 (2025) - [j473]Haiyan Jin, Junfei Shi, Linjing Xu, Mengmeng Nie, Tiansheng He, Junhuai Li, Maoguo Gong:
Scale-aware triple semantic deep network for polarimetric SAR image classification. Appl. Soft Comput. 177: 113232 (2025) - [j472]Yiting Liu, Maoguo Gong, Xiangming Jiang, Jianzhao Li, Yue Zhao, Yan Pu, Ziqi Di:
Multiobjective coevolutionary Bayesian learning for hyperspectral sparse unmixing. Appl. Soft Comput. 184: 113762 (2025) - [j471]Yuxing Wei, Lina Zhang, Fan Yang, Xinhua Jiang, Jue Zhang, Lin Zhu, Meijia Yu, Maoguo Gong:
Automatic measurement method of sheep body size based on 3D reconstruction and point cloud segmentation. Comput. Electron. Agric. 239: 110978 (2025) - [j470]Zhao Wang, Yue Zhao, Maoguo Gong, Hao Li, Gaogao Liu, Jianlong Tang:
Robust Bi-temporal cross-scene land cover map updating via curriculum-guided self-training and adversarial learning. Eng. Appl. Artif. Intell. 160: 111870 (2025) - [j469]Yue Zhao, Hao Li, Maoguo Gong, Yixin Wang, Tianshi Luo:
Incorporating difference information into curriculum learning for multitemporal image classification. Expert Syst. Appl. 276: 127070 (2025) - [j468]Ke Pan, Yuxin Wen, Yiming Wang, Maoguo Gong, Hui Li, Shanfeng Wang:
Privacy-enhanced data distillation with probability distribution matching. Neurocomputing 652: 130953 (2025) - [j467]Ke Pan, Maoguo Gong, Kaiyuan Feng, Hui Li:
Preserving Privacy in Fine-Grained Data Distillation With Sparse Answers for Efficient Edge Computing. IEEE Internet Things J. 12(8): 10058-10069 (2025) - [j466]Long Xu, Lijia Ma, Qiuzhen Lin, Lingjie Li, Maoguo Gong, Jianqiang Li:
Influence maximization in hypergraphs based on evolutionary deep reinforcement learning. Inf. Sci. 698: 121764 (2025) - [j465]Lijia Ma, Long Xu, Xiaoqing Fan, Lingjie Li, Qiuzhen Lin, Jianqiang Li, Maoguo Gong:
Multifactorial evolutionary deep reinforcement learning for multitask node combinatorial optimization in complex networks. Inf. Sci. 702: 121913 (2025) - [j464]Zhuping Hu, Maoguo Gong, Zhuowei Dong, Yiheng Lu, Jianzhao Li, Yue Zhao:
Heterogeneity-aware pruning framework for personalized federated learning in remote sensing scene classification. Knowl. Based Syst. 311: 113007 (2025) - [j463]Tianqi Gao, Maoguo Gong, Xiangming Jiang, Yue Zhao, Hao Liu, Yan Pu:
A non-local sparse unmixing based hyperspectral change detection with unsupervised deep clustering. Knowl. Based Syst. 317: 113408 (2025) - [j462]Yihong Zhang, Yuan Gao, Maoguo Gong, Hao Li, Yuanqiao Zhang, Sijia Zhang:
Federated feature reconstruction with collaborative star networks. Knowl. Based Syst. 318: 113463 (2025) - [j461]Yizhe Zhao, Maoguo Gong, Xiangming Jiang, Tao Zhan, Fenlong Jiang:
A nonlocal superpatch-based reweighted low-rank representation method for hyperspectral unmixing. Knowl. Based Syst. 330: 114586 (2025) - [j460]Shile Zhang, Yuxing Zhao, Zhihan Liu, Xiangming Jiang, Maoguo Gong:
Dual Collaborative Sparse and Total Variation Regularization for Unmixing-Based Change Detection. IEEE Geosci. Remote. Sens. Lett. 22: 1-5 (2025) - [j459]Junbo Wang, Jianrui Chen, Zhihui Wang, Maoguo Gong:
Hypergraph contrastive attention networks for hyperedge prediction with negative samples evaluation. Neural Networks 181: 106807 (2025) - [j458]Jiaming Liu, Yue Wu, Qiguang Miao, Maoguo Gong, Linghe Kong:
Revisiting Siamese-Based 3D Single Object Tracking With a Versatile Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 47(9): 8148-8164 (2025) - [j457]Hanhong Zheng, Mingyang Zhang, Maoguo Gong, A. K. Qin, Tongfei Liu, Fenlong Jiang:
Multi-scale hierarchical feature fusion network for change detection. Pattern Recognit. 161: 111266 (2025) - [j456]Tongfei Liu, Yan Pu, Tao Lei, Jianjian Xu, Maoguo Gong, Lifeng He, Asoke K. Nandi:
Hierarchical Feature Alignment-based Progressive Addition Network for Multimodal Change Detection. Pattern Recognit. 162: 111355 (2025) - [j455]Baosheng Li, Weifeng Gao, Jin Xie, Hong Li, Maoguo Gong:
Robust decentralized federated learning for heterogeneous and non-ideal networks. Pattern Recognit. 162: 111362 (2025) - [j454]Tianheng Zhang, Jianli Zhao, Sheng Fang, Zhe Li, Qing Zhang, Maoguo Gong:
Hyperspectral image restoration via the collaboration of low-rank tensor denoising and completion. Pattern Recognit. 165: 111629 (2025) - [j453]Barintag Saheya, Xia Ren, Maoguo Gong, Xiaofeng Li:
IW Extraction From SAR Images Based on Generative Networks With Small Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 16473-16487 (2025) - [j452]Shanfeng Wang, Yuxi Zhou, Xiaolong Fan, Jianzhao Li, Zexuan Lei, Maoguo Gong:
Personalized Federated Contrastive Learning for Recommendation. IEEE Trans. Comput. Soc. Syst. 12(5): 2986-2998 (2025) - [j451]Junfei Shi, Shanshan Ji, Haiyan Jin, Junhuai Li, Maoguo Gong, Weisi Lin:
Content-Adaptive Multi-Region Deep Network for Polarimetric SAR Image Classification. IEEE Trans. Circuits Syst. Video Technol. 35(1): 617-631 (2025) - [j450]Mingyang Zhang, Xiangyu Wang, Shuang Wu, Zhaoyang Wang, Maoguo Gong, Yu Zhou, Fenlong Jiang, Yue Wu:
Spatial-Spectral Aggregation Transformer With Diffusion Prior for Hyperspectral Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 35(4): 3557-3572 (2025) - [j449]Yue Wu, Jiayi Lei, Yongzhe Yuan, Xiaolong Fan, Maoguo Gong, Wenping Ma, Qiguang Miao, Mingyang Zhang:
Equivariance-Based Markov Decision Process for Unsupervised Point Cloud Registration. IEEE Trans. Circuits Syst. Video Technol. 35(5): 4648-4660 (2025) - [j448]Sijia Zhang, Maoguo Gong, Yi-Ming Lin, Hao Li, Yuan Gao, Yihong Zhang:
Dual Distillation Fusion for Weakly Supervised Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 35(8): 7512-7525 (2025) - [j447]Jiaming Liu, Linghe Kong, Yue Wu, Maoguo Gong, Hao Li, Qiguang Miao, Wenping Ma, Can Qin:
Triple Point Masking. IEEE Trans. Circuits Syst. Video Technol. 35(9): 8466-8477 (2025) - [j446]Jianing Wang, Shengjia Hao, Zheng Hua, Yuqiong Yao, Qiong Xu, Bo Liu, Maoguo Gong:
TBGA-Net: Trigonometric Bilinear Attention and Global-Aware Aggregation Network for Large-Scale 3D Point Cloud Segmentation. IEEE Trans. Circuits Syst. Video Technol. 35(12): 12369-12381 (2025) - [j445]Tianshi Luo, Hao Li, Maoguo Gong, Yu Zhou, A. K. Qin:
STEAM: Style Transfer Enabled Adversarial Attack With Attention Mechanism on Remote Sensing Image Scene Classification. IEEE Trans. Circuits Syst. Video Technol. 35(12): 12524-12537 (2025) - [j444]Yue Wu, Jinlong Sheng, Hangqi Ding, Peiran Gong, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao:
Evolutionary Multitasking Descriptor Optimization for Point Cloud Registration. IEEE Trans. Evol. Comput. 29(4): 1239-1253 (2025) - [j443]Hao Li, Pu Xiong, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing:
Fast Heterogeneous Multiproblem Surrogates for Transfer Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 29(5): 1663-1677 (2025) - [j442]Yue Wu, Chuang Luo, Maoguo Gong, Hangqi Ding, Jinlong Sheng, Qiguang Miao, Hao Li, Wenping Ma, Hao He:
Multitask Multiscale Feature Selection for Point Cloud Registration. IEEE Trans. Evol. Comput. 29(6): 2804-2818 (2025) - [j441]Shanfeng Wang, Dong Wang, Xiaona Ruan, Xiaolong Fan, Maoguo Gong, He Zhang:
HGRL-S: Towards Heterogeneous Graph Representation Learning With Optimized Structures. IEEE Trans. Emerg. Top. Comput. Intell. 9(3): 2359-2370 (2025) - [j440]Qianlong Dang, Junhu Ruan, Tao Zhan, Maoguo Gong, Xiaoyu He:
LADA: Latent-Space Adversarial Diffusion Attack in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 63: 1-16 (2025) - [j439]Qianlong Dang, Tao Zhan, Maoguo Gong, Xiaoyu He:
Boosting Adversarial Transferability by Batchwise Amplitude Spectrum Normalization. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j438]Ziqi Di, Mingyang Zhang, Fenlong Jiang, Yu Zhou, Maoguo Gong:
A General Uncertainty-Guided Bayesian Adaptation Framework for Building Change Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j437]Zhuping Hu, Maoguo Gong, Yue Zhao, Mingyang Zhang, Yiheng Lu, Jianzhao Li, Yan Pu, Zhao Wang:
Scale-Aware Pruning Framework for Remote Sensing Object Detection via Multifeature Representation. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j436]Fenlong Jiang, Bo Huang, Husheng Wu, Dan Feng, Yu Zhou, Mingyang Zhang, Maoguo Gong, Wei Zhao, Ziyu Guan:
Change Masked Modality Alignment Network for Multimodal Change Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-16 (2025) - [j435]Fenlong Jiang, Xinlong Huo, Mingyang Zhang, Maoguo Gong, Yan Pu, Yu Zhou, Wei Zhao, Ziyu Guan:
D3PM: Dual-Stream Denoising Diffusion Probabilistic Model for Change Detection in Multimodal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j434]Fenlong Jiang, Shining Zhang, Mingyang Zhang, Maoguo Gong, Yu Zhou, Wei Zhao, Ziyu Guan:
Adaptive Center-Focused Hybrid Attention Network for Change Detection in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 63: 1-16 (2025) - [j433]Fenlong Jiang, Zikang Zhong, Mingyang Zhang, Maoguo Gong, Yu Zhou, Wei Zhao, Ziyu Guan:
BARNet: Boundary-Aware Refinement Network for Weakly Supervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j432]Tao Lei, Qiong Zhou, Tongfei Liu, Shuxin Zhang, Yingbo Wang, Daqi Liu, Maoguo Gong:
SLAFormer: Skeleton-Guided Large-Kernel Attention Transformer for Road Change Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j431]Hao Li, Jiachang Li, Maoguo Gong, Haiyue Yu, Kelin Dang, Yu Zhou, A. K. Qin, Yue Wu:
Physical Adversarial Background Patch Against Aerial Object Detection Based on Pareto Efficiency. IEEE Trans. Geosci. Remote. Sens. 63: 1-16 (2025) - [j430]Jianzhao Li, Shanfeng Wang, Rui Yang, Maoguo Gong, Zhuping Hu, Ning Zhang, Kai Sheng, Yu Zhou:
Toward Federated Customized Neural Architecture Search for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-12 (2025) - [j429]Tongfei Liu, Jianjian Xu, Tao Lei, Yingbo Wang, Xiaogang Du, Weichuan Zhang, Zhiyong Lv, Maoguo Gong:
AEKAN: Exploring Superpixel-Based AutoEncoder Kolmogorov-Arnold Network for Unsupervised Multimodal Change Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j428]Yiheng Lu, Zhuping Hu, Wei Zhao, Ziyu Guan, Maoguo Gong, Mingyang Zhang:
Layer-Interaction Adaptive Pruning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-12 (2025) - [j427]Yan Pu, Maoguo Gong, Tongfei Liu, Mingyang Zhang, Jianzhao Li, Hanhong Zheng, Yue Zhao:
Collaborative Frequency-Aware Transformer for Unsupervised Multimodal Change Detection in Heterogeneous Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j426]Barintag Saheya, Rui Cai, Hongyu Zhao, Maoguo Gong, Xiaofeng Li:
MCS Filter: A Multichannel Structure-Aware Speckle Filter for SAR Images. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j425]Junfei Shi, Keyan Shen, Haiyan Jin, Yuanlin Zhang, Wenqiang Hua, Zhiyong Lv, Maoguo Gong, Weisi Lin:
Scattering Mechanism Inspired Non-Gaussian Diffusion Model for Polarimetric SAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-17 (2025) - [j424]Jiao Shi, Chunhui Tan, Hanwen Yu, A. K. Qin, Yu Lei, Maoguo Gong:
A Collaborative Network for Multiple Hyperspectral Images Joint Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j423]Jianing Wang, Zheng Hua, Wan Zhang, Shengjia Hao, Yuqiong Yao, Maoguo Gong:
CL-BioGAN: Biologically Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j422]Jianing Wang, Zheng Hua, Wan Zhang, Shengjia Hao, Yuqiong Yao, Maoguo Gong:
Corrections to "CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection". IEEE Trans. Geosci. Remote. Sens. 63: 1 (2025) - [j421]Yixin Wang, Hao Li, Maoguo Gong, Yue Wu, Peiran Gong, A. K. Qin, Lining Xing, Mingyang Zhang:
Bidirectional Stacking Ensemble Curriculum Learning for Hyperspectral Image Imbalanced Classification With Noisy Labels. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j420]Yetong Xu, Tao Lei, Hailong Ning, Shaoxiong Lin, Tongfei Liu, Maoguo Gong, Asoke K. Nandi:
From Macro to Micro: A Lightweight Interleaved Network for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j419]Tao Zhan, Jie Lan, Yuanyuan Zhu, Qianlong Dang, Maoguo Gong:
Cross-Domain Difference Representation Learning for Unsupervised Heterogeneous Change Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-17 (2025) - [j418]Tao Zhan, Qiushi Tian, Yuanyuan Zhu, Jie Lan, Qianlong Dang, Maoguo Gong:
Difference-Aware Multiscale Feature Aggregation Network for Building Change Detection. IEEE Trans. Geosci. Remote. Sens. 63: 1-15 (2025) - [j417]Mingyang Zhang, Shuang Wu, Xiangyu Wang, Maoguo Gong, Fenlong Jiang, Yu Zhou, Yue Wu:
Meta-Collaborative Learning for Arbitrarily Scaled Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 63: 1-18 (2025) - [j416]Baosheng Li, Weifeng Gao, Jin Xie, Maoguo Gong, Ling Wang, Hong Li:
Federated Multidiscriminators Multigenerators for Heterogeneous Industrial IoT. IEEE Trans. Ind. Informatics 21(1): 884-893 (2025) - [j415]Zhaoyang Wang, Bo Hu, Mingyang Zhang, Jie Li, Leida Li, Maoguo Gong, Xinbo Gao:
Diffusion Model-Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment. IEEE Trans. Image Process. 34: 263-278 (2025) - [j414]Tongfei Liu, Mingyang Zhang, Maoguo Gong, Qingfu Zhang, Fenlong Jiang, Hanhong Zheng, Di Lu:
Commonality Feature Representation Learning for Unsupervised Multimodal Change Detection. IEEE Trans. Image Process. 34: 1219-1233 (2025) - [j413]Hamido Fujita, Bo Li, Yiyu Yao, Xinbo Gao, Maoguo Gong, Ivan Lee, Martin Ester, Xin Wang:
Guest Editorial: Special Issue on Deep Learning for Intelligent Media Computing and Applications. IEEE Trans. Neural Networks Learn. Syst. 36(1): 129-131 (2025) - [j412]Yourun Zhang, Maoguo Gong, Jianzhao Li, Kaiyuan Feng, Mingyang Zhang:
Few-Shot Learning With Enhancements to Data Augmentation and Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6655-6668 (2025) - [j411]Yiheng Lu, Maoguo Gong, Kaiyuan Feng, Jialu Liu, Ziyu Guan, Hao Li:
SAAF: Self-Adaptive Attention Factor-Based Taylor-Pruning on Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8540-8553 (2025) - [j410]Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang:
CCGIB: A Cross-Channel Graph Information Bottleneck Principle. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9488-9499 (2025) - [j409]Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. K. Qin:
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration. IEEE Trans. Neural Networks Learn. Syst. 36(7): 13291-13303 (2025) - [j408]Yue Zhao, Maoguo Gong, Mingyang Zhang, A. K. Qin, Fenlong Jiang, Jianzhao Li:
SPCNet: Deep Self-Paced Curriculum Network Incorporated With Inductive Bias. IEEE Trans. Neural Networks Learn. Syst. 36(8): 15029-15042 (2025) - [j407]Zhihui Wang, Jianrui Chen, Maoguo Gong, Fei Hao:
Physics-Guided Hypergraph Contrastive Learning for Dynamic Hyperedge Prediction. IEEE Trans. Netw. Sci. Eng. 12(1): 433-450 (2025) - [j406]Zhenkun Wang, Lindong Xie, Genghui Li, Weifeng Gao, Maoguo Gong, Ling Wang:
Customized Evolutionary Expensive Optimization: Efficient Search and Surrogate Strategies for Continuous and Categorical Variables. IEEE Trans. Syst. Man Cybern. Syst. 55(3): 2196-2210 (2025) - [j405]Hao Li, Guodong Xu, Maoguo Gong, Yue Wu, A. K. Qin, Lining Xing:
Divide-and-Conquer Evolutionary Multitasking Optimization. IEEE Trans. Syst. Man Cybern. Syst. 55(9): 6011-6024 (2025) - [j404]Wencheng Han, Hao Li, Maoguo Gong, Yue Wu, A. K. Qin, Lining Xing, Yu Zhou:
Evolutionary Multiobjective Cross-Spectral Adversarial Attacks With Synergistic Patches. IEEE Trans. Syst. Man Cybern. Syst. 55(10): 7395-7409 (2025) - [c122]Yue Wu, Zhipeng Wang, Yongzhe Yuan, Maoguo Gong, Hao Li, Mingyang Zhang, Wenping Ma, Qiguang Miao:
MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency. AAAI 2025: 8505-8513 - [c121]Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma:
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration. AAAI 2025: 9734-9742 - [c120]Yue Zhang, Yue Wu, Wenping Ma, Maoguo Gong, Hao Li, Biao Hou:
Partial Point Cloud Registration with Multi-view 2D Image Learning. AAAI 2025: 10329-10337 - [c119]Hao Li, Fanggao Wan, Yue Su, Yue Wu, Mingyang Zhang, Maoguo Gong:
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors. AAAI 2025: 18279-18286 - [c118]Shanfeng Wang, Jianzhao Li, Zaitian Liu, Yourun Zhang, Maoguo Gong:
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement. AAAI 2025: 21243-21251 - [c117]Shanyang Gao, Shanfeng Wang, Lanyu Yao, Jianzhao Li, Zhao Wang, Maoguo Gong, Ke Pan:
DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation. CIKM 2025: 686-695 - [c116]Tengfei Xiao, Yue Wu, Yuelong Li, Can Qin, Maoguo Gong, Qiguang Miao, Wenping Ma:
Disentangled Pose and Appearance Guidance for Multi-Pose Generation. CVPR 2025: 5646-5655 - [c115]Yue Wu, Jun Jiang, Yongzhe Yuan, Maoguo Gong, Qiguang Miao, Hao Li, Mingyang Zhang, Wenping Ma:
PointTruss: K-Truss for Point Cloud Registration. NeurIPS 2025 - [i41]Jianing Wang, Siying Guo, Zheng Hua, Runhu Huang, Jinyu Hu, Maoguo Gong:
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection. CoRR abs/2505.11793 (2025) - [i40]Jianing Wang, Zheng Hua, Wan Zhang, Shengjia Hao, Yuqiong Yao, Maoguo Gong:
CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection. CoRR abs/2505.11796 (2025) - [i39]Ruihao Zheng, Zhenkun Wang, Yin Wu, Maoguo Gong:
Enhanced Ideal Objective Vector Estimation for Evolutionary Multi-Objective Optimization. CoRR abs/2505.21903 (2025) - [i38]Zhaoyang Wang, Jie Li, Wen Lu, Lihuo He, Maoguo Gong, Xinbo Gao:
FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution. CoRR abs/2506.11545 (2025) - [i37]Zhaoyang Wang, Wen Lu, Jie Li, Lihuo He, Maoguo Gong, Xinbo Gao:
EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment. CoRR abs/2506.11549 (2025) - [i36]Lindong Xie, Genghui Li, Zhenkun Wang, Edward Chung, Maoguo Gong:
Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization. CoRR abs/2507.02892 (2025) - [i35]Junfei Shi, Yu Cheng, Haiyan Jin, Junhuai Li, Zhaolin Xiao, Maoguo Gong, Weisi Lin:
Knowledge-guided Complex Diffusion Model for PolSAR Image Classification in Contourlet Domain. CoRR abs/2507.05666 (2025) - [i34]Xu Zhang, Shuo Chen, Jinsheng Li, Xiangying Pang, Maoguo Gong:
Global Convergence Analysis of Vanilla Gradient Descent for Asymmetric Matrix Completion. CoRR abs/2508.09685 (2025) - [i33]Hao Liu, Yongjie Zheng, Yuhan Kang, Mingyang Zhang, Maoguo Gong, Lorenzo Bruzzone:
Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification. CoRR abs/2509.23310 (2025) - [i32]Hao Liu, Yunhao Gao, Wei Li, Mingyang Zhang, Maoguo Gong, Lorenzo Bruzzone:
A Spatial-Spectral-Frequency Interactive Network for Multimodal Remote Sensing Classification. CoRR abs/2510.04628 (2025) - 2024
- [j403]Xiangming Jiang, Tianqi Gao, Maoguo Gong, Fenlong Jiang, Mingyang Zhang, Jieyi Liu:
Multiobjective sparse unmixing based hyperspectral change detection. Appl. Soft Comput. 166: 112160 (2024) - [j402]Huimei Tang, Yutao Zhang, Lijia Ma, Qiuzhen Lin, Liping Huang, Jianqiang Li, Maoguo Gong:
Optimisation of sparse deep autoencoders for dynamic network embedding. CAAI Trans. Intell. Technol. 9(6): 1361-1376 (2024) - [j401]Huan Kang, Qianqian Xu, Duofang Chen, Shenghan Ren, Hui Xie, Lin Wang, Yuan Gao, Maoguo Gong, Xueli Chen:
Assessing the performance of fully supervised and weakly supervised learning in breast cancer histopathology. Expert Syst. Appl. 237(Part B): 121575 (2024) - [j400]Yu Xie, Yanfeng Liang, Chao Wen, A. K. Qin, Maoguo Gong:
Federated Collaborative Graph Neural Networks for Few-shot Graph Classification. Mach. Intell. Res. 21(6): 1077-1091 (2024) - [j399]Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li:
Side-constrained graph fusion for semi-supervised multi-view clustering. Neurocomputing 570: 127102 (2024) - [j398]Junyu Gao, Hao Yang, Maoguo Gong, Xuelong Li:
Audio-visual representation learning for anomaly events detection in crowds. Neurocomputing 582: 127489 (2024) - [j397]Ke Pan, Yew-Soon Ong, Maoguo Gong, Hui Li, A. K. Qin, Yuan Gao:
Differential privacy in deep learning: A literature survey. Neurocomputing 589: 127663 (2024) - [j396]Yue Wu, Jiaming Liu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu:
Joint Semantic Segmentation using representations of LiDAR point clouds and camera images. Inf. Fusion 108: 102370 (2024) - [j395]Baosheng Li, Weifeng Gao, Jin Xie, Maoguo Gong, Ling Wang, Hong Li:
Prototype-Based Decentralized Federated Learning for the Heterogeneous Time-Varying IoT Systems. IEEE Internet Things J. 11(4): 6916-6927 (2024) - [j394]Yiheng Lu, Ziyu Guan, Wei Zhao, Maoguo Gong, Wenjing Wang, Kai Sheng:
SNPF: Sensitiveness-Based Network Pruning Framework for Efficient Edge Computing. IEEE Internet Things J. 11(4): 6972-6991 (2024) - [j393]Yuan Gao, Ziyue Lin, Maoguo Gong, Yuanqiao Zhang, Yihong Zhang:
Enhancing Federated Learning With Pattern-Based Client Clustering. IEEE Internet Things J. 11(24): 40365-40375 (2024) - [j392]Baosheng Li, Weifeng Gao, Jin Xie, Hong Li, Maoguo Gong:
A Unified Framework for Federated Semi-Supervised Learning in Heterogeneous IoT Healthcare Systems. IEEE Internet Things J. 11(24): 41110-41123 (2024) - [j391]Jianzhao Li, Maoguo Gong, Jinxin Wei, Yourun Zhang, Yue Zhao, Shanfeng Wang, Xiangming Jiang:
Evolutionary multitasking cooperative transfer for multiobjective hyperspectral sparse unmixing. Knowl. Based Syst. 285: 111306 (2024) - [j390]Fuhao Gao, Weifeng Gao, Lingling Huang, Song Zhang, Maoguo Gong, Ling Wang:
Effective transferred knowledge identified by bipartite graph for multiobjective multitasking optimization. Knowl. Based Syst. 290: 111530 (2024) - [j389]Jianrui Chen, Luheng Yang, Zhihui Wang, Maoguo Gong:
Higher-order GNN with Local Inflation for entity alignment. Knowl. Based Syst. 293: 111634 (2024) - [j388]Jialu Liu, Maoguo Gong, Yuan Gao, Yiheng Lu, Hao Li:
Bidirectional interaction of CNN and Transformer for image inpainting. Knowl. Based Syst. 299: 112046 (2024) - [j387]Wenming Wu, Xiaoke Ma, Quan Wang, Maoguo Gong, Quanxue Gao:
Learning deep representation and discriminative features for clustering of multi-layer networks. Neural Networks 170: 405-416 (2024) - [j386]Zhihui Wang, Jianrui Chen, Maoguo Gong, Zhongshi Shao:
Higher-order neurodynamical equation for simplex prediction. Neural Networks 173: 106185 (2024) - [j385]Shanfeng Wang, Hao Tao, Jianzhao Li, Xinyuan Ji, Yuan Gao, Maoguo Gong:
Towards fair and personalized federated recommendation. Pattern Recognit. 149: 110234 (2024) - [j384]Puzhao Zhang, Xikun Hu, Yifang Ban, Andrea Nascetti, Maoguo Gong:
Assessing Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 Data for Large-Scale Wildfire-Burned Area Mapping: Insights from the 2017-2019 Canada Wildfires. Remote. Sens. 16(3): 556 (2024) - [j383]Bohuai Duan, Barintag Saheya, Junmin Meng, Maoguo Gong:
Stripe Extraction of Oceanic Internal Waves Using PCGAN with Small-Data Training. Remote. Sens. 16(5): 787 (2024) - [j382]Ying Wang, Kelin Dang, Rennong Yang, Qi Song, Hao Li, Maoguo Gong:
Self-Paced Multi-Scale Joint Feature Mapper for Multi-Objective Change Detection in Heterogeneous Images. Remote. Sens. 16(11): 1961 (2024) - [j381]Hangqi Ding, Yue Wu, Maoguo Gong, Hao Li, Peiran Gong, Qiguang Miao, Wenping Ma, Yiping Duan, Xiaoming Tao:
Point cloud registration via sampling-based evolutionary multitasking. Swarm Evol. Comput. 89: 101535 (2024) - [j380]Fuhao Gao, Lingling Huang, Weifeng Gao, Longyue Li, Shuqi Wang, Maoguo Gong, Ling Wang:
Transferring knowledge by budget online learning for multiobjective multitasking optimization. Swarm Evol. Comput. 91: 101765 (2024) - [j379]Lei Ye, Hangqi Ding, Haoran Xu, Benhua Xiang, Yue Wu, Maoguo Gong:
MFWOA: Multifactorial Whale Optimization Algorithm. Swarm Evol. Comput. 91: 101768 (2024) - [j378]Yongzhe Yuan, Yue Wu, Mingyu Yue, Maoguo Gong, Xiaolong Fan, Wenping Ma, Qiguang Miao:
Learning Discriminative Features via Multi-Hierarchical Mutual Information for Unsupervised Point Cloud Registration. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8343-8354 (2024) - [j377]Menghao Tan, Weifeng Gao, Hong Li, Jin Xie, Maoguo Gong:
Universal Binary Neural Networks Design by Improved Differentiable Neural Architecture Search. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9153-9165 (2024) - [j376]Hao Li, Zeyu Yang, Maoguo Gong, Shiguo Chen, A. K. Qin, Zhenxing Niu, Yue Wu, Yu Zhou:
ShiftAttack: Toward Attacking the Localization Ability of Object Detector. IEEE Trans. Circuits Syst. Video Technol. 34(12): 12796-12810 (2024) - [j375]Qiuzhen Lin, Zhongjian Wu, Lijia Ma, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello:
Multiobjective Multitasking Optimization With Decomposition-Based Transfer Selection. IEEE Trans. Cybern. 54(5): 3146-3159 (2024) - [j374]Yuan Gao, Yuanqiao Zhang, Maoguo Gong, Qing Cai, Yu Xie, A. K. Qin:
Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework. IEEE Trans. Cybern. 54(9): 5283-5296 (2024) - [j373]Yue Wu, Hangqi Ding, Maoguo Gong, A. K. Qin, Wenping Ma, Qiguang Miao, Kay Chen Tan:
Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration. IEEE Trans. Evol. Comput. 28(1): 62-76 (2024) - [j372]Zhifang Wei, Weifeng Gao, Maoguo Gong, Gary G. Yen:
A Bi-Objective Evolutionary Algorithm for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(1): 168-177 (2024) - [j371]Yiting Liu, Hao Li, Maoguo Gong, A. K. Qin:
Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery. IEEE Trans. Evol. Comput. 28(2): 374-387 (2024) - [j370]Kuangda Lyu, Hao Li, Maoguo Gong, Lining Xing, A. K. Qin:
Surrogate-Assisted Evolutionary Multiobjective Neural Architecture Search Based on Transfer Stacking and Knowledge Distillation. IEEE Trans. Evol. Comput. 28(3): 608-622 (2024) - [j369]Lindong Xie, Genghui Li, Zhenkun Wang, Laizhong Cui, Maoguo Gong:
Surrogate-Assisted Evolutionary Algorithm With Model and Infill Criterion Auto-Configuration. IEEE Trans. Evol. Comput. 28(4): 1114-1126 (2024) - [j368]Hao Li, Fanggao Wan, Maoguo Gong, A. K. Qin, Yue Wu, Lining Xing:
Privacy-Enhanced Multitasking Particle Swarm Optimization Based on Homomorphic Encryption. IEEE Trans. Evol. Comput. 28(5): 1336-1350 (2024) - [j367]Meixia He, Jianrui Chen, Maoguo Gong, Zhongshi Shao:
HDGCN: Dual-Channel Graph Convolutional Network With Higher-Order Information for Robust Feature Learning. IEEE Trans. Emerg. Top. Comput. 12(1): 126-138 (2024) - [j366]Yue Wu, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao:
Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 110-125 (2024) - [j365]Kaiyuan Feng, Maoguo Gong, Ke Pan, Hongyu Zhao, Yue Wu, Kai Sheng:
Model Sparsification for Communication-Efficient Multi-Party Learning via Contrastive Distillation in Image Classification. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 150-163 (2024) - [j364]Yuanqiao Zhang, Maoguo Gong, Yuan Gao, Hao Li, Lei Wang, Yixin Wang:
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 684-696 (2024) - [j363]Fuhao Gao, Weifeng Gao, Lingling Huang, Jin Xie, Hong Li, Maoguo Gong:
Evolutionary Multitasking Optimization Enhanced by Geodesic Flow Kernel. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1540-1549 (2024) - [j362]Hao Li, Dezhong Li, Maoguo Gong, Jianzhao Li, A. K. Qin, Lining Xing, Fei Xie:
Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1922-1937 (2024) - [j361]Hao Li, Tianshi Luo, Liwen Liu, Maoguo Gong, Wenyuan Qiao, Fei Xie, A. K. Qin:
Selective Transfer Based Evolutionary Multitasking Optimization for Change Detection. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2197-2212 (2024) - [j360]Zhengjun Wang, Weifeng Gao, Genghui Li, Zhenkun Wang, Maoguo Gong:
Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2625-2639 (2024) - [j359]Weifeng Gao, Menghao Tan, Hong Li, Jin Xie, Xiaoli Gao, Maoguo Gong:
CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j358]Maoguo Gong, Hongyu Zhao, Yue Wu, Zedong Tang, Kaiyuan Feng, Kai Sheng:
Dual Appearance-Aware Enhancement for Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j357]Zhuping Hu, Maoguo Gong, Yiheng Lu, Jianzhao Li, Yue Zhao, Mingyang Zhang:
Data Customization-Based Multiobjective Optimization Pruning Framework for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j356]Jianzhao Li, Maoguo Gong, Zaitian Liu, Shanfeng Wang, Yourun Zhang, Yu Zhou, Yuan Gao:
Toward Multiparty Personalized Collaborative Learning in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j355]Jianzhao Li, Maoguo Gong, Weihao Li, Mingyang Zhang, Yourun Zhang, Shanfeng Wang, Yue Wu:
MSANet: Multiscale Self-Attention Aggregation Network for Few-Shot Aerial Imagery Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j354]Hao Li, Pengyang Niu, Maoguo Gong, Lining Xing, Yue Wu, A. K. Qin:
Robust Self-Paced Incremental Learning for Multitemporal Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j353]Hao Li, Mingyang Zhang, Ziqi Di, Maoguo Gong, Tianqi Gao, A. K. Qin:
A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j352]Shuang Liang, Yun Zhu, Maoguo Gong, Junkun Yan:
Cauchy-Schwarz Divergence-Based Set Joint Probabilistic Data Association Filter for Tracking Multiple Objects in Cluttered Environment. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j351]Yiting Liu, Jianzhao Li, Maoguo Gong, Huilin Liu, Kai Sheng, Yourun Zhang, Zedong Tang, Yu Zhou:
Collaborative Self-Supervised Evolution for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j350]Yan Pu, Maoguo Gong, Tongfei Liu, Mingyang Zhang, Tianqi Gao, Fenlong Jiang, Xiaobo Hu:
Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j349]Jianing Wang, Siying Guo, Zheng Hua, Runhu Huang, Jinyu Hu, Maoguo Gong:
CL-CaGAN: Capsule Differential Adversarial Continual Learning for Cross-Domain Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j348]Shanfeng Wang, Jianzhao Li, Zaitian Liu, Maoguo Gong, Yourun Zhang, Yue Zhao, Boya Deng, Yu Zhou:
Personalized Multiparty Few-Shot Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j347]Tian-Heng Zhang, Jianli Zhao, Sheng Fang, Zhe Li, Maoguo Gong:
Full-Mode-Augmentation Tensor-Train Rank Minimization for Hyperspectral Image Inpainting. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j346]Yue Zhao, Maoguo Gong, A. K. Qin, Mingyang Zhang, Zhuping Hu, Tianqi Gao, Yan Pu:
Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j345]Hanhong Zheng, Dongyang Li, Mingyang Zhang, Maoguo Gong, A. K. Qin, Tongfei Liu, Fenlong Jiang:
Spectral Knowledge Transfer for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j344]Maoguo Gong, Yuanqiao Zhang, Yuan Gao, A. K. Qin, Yue Wu, Shanfeng Wang, Yihong Zhang:
A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption. IEEE Trans. Inf. Forensics Secur. 19: 1826-1839 (2024) - [j343]Yongzhe Yuan, Yue Wu, Jiayi Lei, Congying Hu, Maoguo Gong, Xiaolong Fan, Wenping Ma, Qiguang Miao:
Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j342]Wenming Wu, Wensheng Zhang, Maoguo Gong, Xiaoke Ma:
Noised Multi-Layer Networks Clustering With Graph Denoising and Structure Learning. IEEE Trans. Knowl. Data Eng. 36(10): 5294-5307 (2024) - [j341]Yue Wu, Jiaming Liu, Maoguo Gong, Peiran Gong, Xiaolong Fan, A. K. Qin, Qiguang Miao, Wenping Ma:
Self-Supervised Intra-Modal and Cross-Modal Contrastive Learning for Point Cloud Understanding. IEEE Trans. Multim. 26: 1626-1638 (2024) - [j340]Yue Wu, Jiaming Liu, Maoguo Gong, Zhixiao Liu, Qiguang Miao, Wenping Ma:
MPCT: Multiscale Point Cloud Transformer With a Residual Network. IEEE Trans. Multim. 26: 3505-3516 (2024) - [j339]Jiaming Liu, Yue Wu, Maoguo Gong, Zhixiao Liu, Qiguang Miao, Wenping Ma:
Inter-Modal Masked Autoencoder for Self-Supervised Learning on Point Clouds. IEEE Trans. Multim. 26: 3897-3908 (2024) - [j338]Mingyang Zhang, Tianqi Gao, Maoguo Gong, Shengqi Zhu, Yue Wu, Hao Li:
Semisupervised Change Detection Based on Bihierarchical Feature Aggregation and Extraction Network. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10488-10502 (2024) - [j337]Yuanqiao Zhang, Maoguo Gong, Yuan Gao, A. K. Qin, Kun Wang, Yi-Ming Lin, Shanfeng Wang:
Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14932-14944 (2024) - [j336]Yue Wu, Yue Zhang, Wenping Ma, Maoguo Gong, Xiaolong Fan, Mingyang Zhang, A. K. Qin, Qiguang Miao:
RORNet: Partial-to-Partial Registration Network With Reliable Overlapping Representations. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15453-15466 (2024) - [j335]Yuan Gao, Maoguo Gong, Yew-Soon Ong, A. K. Qin, Yue Wu, Fei Xie:
A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15883-15895 (2024) - [j334]Yourun Zhang, Maoguo Gong, Mingyang Zhang, Jianzhao Li:
Self-Supervised Monocular Depth Estimation With Self-Perceptual Anomaly Handling. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17292-17306 (2024) - [j333]Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Wenping Ma, Qiguang Miao:
EGST: Enhanced Geometric Structure Transformer for Point Cloud Registration. IEEE Trans. Vis. Comput. Graph. 30(9): 6222-6234 (2024) - [c114]Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu, Can Qin:
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. AAAI 2024: 3630-3638 - [c113]Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu:
Entropy Induced Pruning Framework for Convolutional Neural Networks. AAAI 2024: 3918-3926 - [c112]Zhaoyang Wang, Dongyang Li, Mingyang Zhang, Hao Luo, Maoguo Gong:
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network. AAAI 2024: 5794-5804 - [c111]Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu:
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. AAAI 2024: 11919-11926 - [c110]Hangqi Ding, Jun Jiang, Yue Wu, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao:
Evolutionary Multitasking with Compatibility Graph for Point Cloud Registration. CEC 2024: 1-8 - [c109]Kuangda Lyu, Maoguo Gong, Hao Li, Yuan Gao, Yue Wu, Dan Feng, Jiao Shi, Yu Lei:
One-Shot Surrogate for Evolutionary Multiobjective Neural Architecture Search. CEC 2024: 1-9 - [c108]Shanfeng Wang, Zaitian Liu, Jianzhao Li, Maoguo Gong, Rui Yang:
Evolutionary Multitasking Collaborative Neural Architecture Search for Scene Classification. CEC 2024: 1-8 - [c107]Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma:
Inlier Confidence Calibration for Point Cloud Registration. CVPR 2024: 5312-5321 - [c106]Hangqi Ding, Haoran Xu, Yue Wu, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao, Jiao Shi, Yu Lei:
Evolutionary Multitasking with Two-level Knowledge Transfer for Multi-view Point Cloud Registration. GECCO 2024 - [c105]Yue Wu, Xidao Hu, Yongzhe Yuan, Xiaolong Fan, Maoguo Gong, Hao Li, Mingyang Zhang, Qiguang Miao, Wenping Ma:
PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques. ICML 2024: 53542-53552 - [c104]Jiaxin Zhang, Mingyang Zhang, Maoguo Gong, Fenlong Jiang, Xiangming Jiang, Yu Zhou, Dan Feng:
Unsupervised Domain Adaptation for Cross-Scene Hyperspectral Image Classification Based on Decoupled Contrastive Learning. IJCNN 2024: 1-8 - [i31]Zhaoyang Wang, Bo Hu, Mingyang Zhang, Jie Li, Leida Li, Maoguo Gong, Xinbo Gao:
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment. CoRR abs/2402.14401 (2024) - [i30]Zhaoyang Wang, Dongyang Li, Mingyang Zhang, Hao Luo, Maoguo Gong:
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network. CoRR abs/2402.17285 (2024) - [i29]Jiaming Liu, Linghe Kong, Yue Wu, Maoguo Gong, Hao Li, Qiguang Miao, Wenping Ma, Can Qin:
Triple Point Masking. CoRR abs/2409.17547 (2024) - [i28]Yue Su, Hao Li, Maoguo Gong:
Generative Adversarial Patches for Physical Attacks on Cross-Modal Pedestrian Re-Identification. CoRR abs/2410.20097 (2024) - 2023
- [j332]Wencheng Han, Hao Li, Maoguo Gong:
Multi-regularization sparse reconstruction based on multifactorial multiobjective optimization. Appl. Soft Comput. 136: 110122 (2023) - [j331]Siwei Ma, Maoguo Gong, Guojun Qi, Yun Tie, Ivan Lee, Bo Li, Cong Jin:
Guest Editorial: Special issue on media convergence and intelligent technology in the metaverse. CAAI Trans. Intell. Technol. 8(2): 285-287 (2023) - [j330]Yue Wu, Jiaming Liu, Yongzhe Yuan, Xidao Hu, Xiaolong Fan, Kunkun Tu, Maoguo Gong, Qiguang Miao, Wenping Ma:
Correspondence-Free Point Cloud Registration Via Feature Interaction and Dual Branch [Application Notes]. IEEE Comput. Intell. Mag. 18(4): 66-79 (2023) - [j329]Jianli Zhao, Lutong Yao, Tingting Li, Lijun Qu, Sheng Fang, Shidong Zheng, Maoguo Gong, Liang Li, Hao Li, Tianheng Zhang:
CDR-ULPT:Cross-domain recommendation for e-commerce using user-level preferences transfer network. Electron. Commer. Res. Appl. 61: 101293 (2023) - [j328]Tianqi Gao, Hao Li, Maoguo Gong, Mingyang Zhang, Wenyuan Qiao:
Superpixel-based multiobjective change detection based on self-adaptive neighborhood-based binary differential evolution. Expert Syst. Appl. 212: 118811 (2023) - [j327]Yongquan Liang, Qiuyu Song, Zhongying Zhao, Hui Zhou, Maoguo Gong:
BA-GNN: Behavior-aware graph neural network for session-based recommendation. Frontiers Comput. Sci. 17(6): 176613 (2023) - [j326]Yi-Ming Lin, Yuan Gao, Maoguo Gong, Sijia Zhang, Yuan-Qiao Zhang, Zhi-Yuan Li:
Federated Learning on Multimodal Data: A Comprehensive Survey. Mach. Intell. Res. 20(4): 539-553 (2023) - [j325]Jingwei Kou, Tao Zhan, Deyun Zhou, Yu Xie, Zhengshang Da, Maoguo Gong:
Visual attention-based siamese CNN with SoftmaxFocal loss for laser-induced damage change detection of optical elements. Neurocomputing 517: 173-187 (2023) - [j324]Yuan Gao, Yew-Soon Ong, Maoguo Gong, Fenlong Jiang, Yuanqiao Zhang, Shanfeng Wang:
Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion. IEEE Internet Things J. 10(6, March 15): 5519-5529 (2023) - [j323]Yu Li, Lingling Huang, Weifeng Gao, Zhifang Wei, Tianqi Huang, Jingwei Xu, Maoguo Gong:
History information-based Hill-Valley technique for multimodal optimization problems. Inf. Sci. 631: 15-30 (2023) - [j322]Genghui Li, Lindong Xie, Zhenkun Wang, Huajun Wang, Maoguo Gong:
Evolutionary algorithm with individual-distribution search strategy and regression-classification surrogates for expensive optimization. Inf. Sci. 634: 423-442 (2023) - [j321]Hui Zhou, Maoguo Gong, Shanfeng Wang, Yuan Gao, Zhongying Zhao:
SMGCL: Semi-supervised Multi-view Graph Contrastive Learning. Knowl. Based Syst. 260: 110120 (2023) - [j320]Maoguo Gong, Tongfei Liu, Mingyang Zhang, Qingfu Zhang, Di Lu, Hanhong Zheng, Fenlong Jiang:
Context-content collaborative network for building extraction from high-resolution imagery. Knowl. Based Syst. 263: 110283 (2023) - [j319]Ke Pan, Maoguo Gong, Yuan Gao:
Privacy-enhanced generative adversarial network with adaptive noise allocation. Knowl. Based Syst. 272: 110576 (2023) - [j318]Yourun Zhang, Maoguo Gong, Jianzhao Li, Kaiyuan Feng, Mingyang Zhang:
Autonomous perception and adaptive standardization for few-shot learning. Knowl. Based Syst. 277: 110746 (2023) - [j317]Tao Zhan, Maoguo Gong, Xiangming Jiang, Erlei Zhang:
S3Net: Superpixel-Guided Self-Supervised Learning Network for Multitemporal Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j316]Qianlong Dang, Weifeng Gao, Maoguo Gong:
Dual transfer learning with generative filtering model for multiobjective multitasking optimization. Memetic Comput. 15(1): 3-29 (2023) - [j315]Maoguo Gong, Yuan Gao, Yue Wu, Yuanqiao Zhang, A. K. Qin, Yew-Soon Ong:
Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13328-13343 (2023) - [j314]Mingyang Zhang, Hanhong Zheng, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang:
Self-structured pyramid network with parallel spatial-channel attention for change detection in VHR remote sensed imagery. Pattern Recognit. 138: 109354 (2023) - [j313]Xiaolong Fan, Maoguo Gong, Yue Wu:
Markov clustering regularized multi-hop graph neural network. Pattern Recognit. 139: 109518 (2023) - [j312]Mingyang Zhang, Zhaoyang Wang, Xiangyu Wang, Maoguo Gong, Yue Wu, Hao Li:
Features kept generative adversarial network data augmentation strategy for hyperspectral image classification. Pattern Recognit. 142: 109701 (2023) - [j311]Yue Wu, Maoguo Gong, Qiguang Miao, A. Kai Qin:
Computational Intelligence in Remote Sensing. Remote. Sens. 15(22): 5325 (2023) - [j310]Barintag Saheya, Zhijie An, Qiyu Jin, Xu Chen, Maoguo Gong, Tieyong Zeng:
MTU2-Net: Extracting Internal Solitary Waves from SAR Images. Remote. Sens. 15(23): 5441 (2023) - [j309]Lingling Liu, Weifeng Gao, Hong Li, Jin Xie, Maoguo Gong:
Property of decision variables-inspired location strategy for multiobjective optimization. Swarm Evol. Comput. 77: 101226 (2023) - [j308]Yue Wu, Yue Zhang, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma:
INENet: Inliers Estimation Network With Similarity Learning for Partial Overlapping Registration. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1413-1426 (2023) - [j307]Yue Wu, Xidao Hu, Yue Zhang, Maoguo Gong, Wenping Ma, Qiguang Miao:
SACF-Net: Skip-Attention Based Correspondence Filtering Network for Point Cloud Registration. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3585-3595 (2023) - [j306]Dayong Tian, Chen Gong, Maoguo Gong, Yiwen Wei, Xiaoxuan Feng:
Modeling Cardinality in Image Hashing. IEEE Trans. Cybern. 53(1): 114-123 (2023) - [j305]Mulin Chen, Maoguo Gong, Xuelong Li:
Feature Weighted Non-Negative Matrix Factorization. IEEE Trans. Cybern. 53(2): 1093-1105 (2023) - [j304]Dongyuan Li, Xiaoke Ma, Maoguo Gong:
Joint Learning of Feature Extraction and Clustering for Large-Scale Temporal Networks. IEEE Trans. Cybern. 53(3): 1653-1666 (2023) - [j303]Weifeng Gao, Zhifang Wei, Maoguo Gong, Gary G. Yen:
Solving Expensive Multimodal Optimization Problem by a Decomposition Differential Evolution Algorithm. IEEE Trans. Cybern. 53(4): 2236-2246 (2023) - [j302]Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong:
Multiparty Dual Learning. IEEE Trans. Cybern. 53(5): 2955-2968 (2023) - [j301]Wenming Wu, Maoguo Gong, Xiaoke Ma:
Clustering of Multilayer Networks Using Joint Learning Algorithm With Orthogonality and Specificity of Features. IEEE Trans. Cybern. 53(8): 4972-4985 (2023) - [j300]Yu Xie, Yanfeng Liang, Maoguo Gong, A. K. Qin, Yew-Soon Ong, Tiantian He:
Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. 53(10): 6222-6235 (2023) - [j299]Zhao Wang, Maoguo Gong, Peng Li, Fei Xie, Mingyang Zhang:
A Bilevel Gene-Based Multiobjective Memetic Algorithm for Passive Localization System Deployment Optimization. IEEE Trans. Evol. Comput. 27(2): 355-369 (2023) - [j298]Yue Wu, Yibo Liu, Maoguo Gong, Peiran Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma:
Multi-View Point Cloud Registration Based on Evolutionary Multitasking With Bi-Channel Knowledge Sharing Mechanism. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 357-374 (2023) - [j297]Jianrui Chen, Tingting Zhu, Maoguo Gong, Zhihui Wang:
A Game-Based Evolutionary Clustering With Historical Information Aggregation for Personal Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 552-564 (2023) - [j296]Rui Wang, Lining Xing, Maoguo Gong, Ponnuthurai Nagaratnam Suganthan, Hisao Ishibuchi:
Guest Editorial Special Issue on Deep Reinforcement Learning for Optimization: Methods and Application. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 981-982 (2023) - [j295]Maoguo Gong, Yue Zhao, Hao Li, A. K. Qin, Lining Xing, Jianzhao Li, Yiting Liu, Yuhao Liu:
Deep Fuzzy Variable C-Means Clustering Incorporated With Curriculum Learning. IEEE Trans. Fuzzy Syst. 31(12): 4321-4335 (2023) - [j294]Maoguo Gong, Tianqi Gao, Mingyang Zhang, Wei Li, Zhibin Wang, Dezhong Li:
An M-Nary SAR Image Change Detection Based on GAN Architecture Search. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j293]Maoguo Gong, Wenyuan Qiao, Hao Li, A. K. Qin, Tianqi Gao, Tianshi Luo, Lining Xing:
RAFNet: Interdomain Representation Alignment and Fine-Tuning for Image Series Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j292]Fenlong Jiang, Maoguo Gong, Hanhong Zheng, Tongfei Liu, Mingyang Zhang, Jia Liu:
Self-Supervised Global-Local Contrastive Learning for Fine-Grained Change Detection in VHR Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j291]Tao Lei, Xinzhe Geng, Hailong Ning, Zhiyong Lv, Maoguo Gong, Yaochu Jin, Asoke K. Nandi:
Ultralightweight Spatial-Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j290]Jianzhao Li, Maoguo Gong, Huilin Liu, Yourun Zhang, Mingyang Zhang, Yue Wu:
Multiform Ensemble Self-Supervised Learning for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j289]Qiang Li, Maoguo Gong, Yuan Yuan, Qi Wang:
RGB-Induced Feature Modulation Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j288]Yiheng Lu, Maoguo Gong, Zhuping Hu, Wei Zhao, Ziyu Guan, Mingyang Zhang:
Energy-Based CNN Pruning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j287]Mingyang Zhang, Hao Liu, Maoguo Gong, Hao Li, Yue Wu, Xiangming Jiang:
Cross-Domain Self-Taught Network for Few-Shot Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - [j286]Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Fei Xie:
Instance-Guided Point Cloud Single Object Tracking With Inception Transformer. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j285]Yue Wu, Qianlin Yao, Xiaolong Fan, Maoguo Gong, Wenping Ma, Qiguang Miao:
PANet: A Point-Attention Based Multi-Scale Feature Fusion Network for Point Cloud Registration. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j284]Xiaolong Fan, Maoguo Gong, Yue Wu, A. K. Qin, Yu Xie:
Propagation Enhanced Neural Message Passing for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1952-1964 (2023) - [j283]Yu Xie, Zhiguo Qin, Maoguo Gong, Bin Yu, Jiye Liang:
Random Deep Graph Matching. IEEE Trans. Knowl. Data Eng. 35(10): 10411-10422 (2023) - [j282]Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li:
Maximizing Mutual Information Across Feature and Topology Views for Representing Graphs. IEEE Trans. Knowl. Data Eng. 35(10): 10735-10747 (2023) - [j281]Bin Zhao, Maoguo Gong, Xuelong Li:
AudioVisual Video Summarization. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5181-5188 (2023) - [j280]Maoguo Gong, Hui Zhou, A. K. Qin, Wenfeng Liu, Zhongying Zhao:
Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9234-9247 (2023) - [j279]Genghui Li, Zhenkun Wang, Maoguo Gong:
Expensive Optimization via Surrogate-Assisted and Model-Free Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2758-2769 (2023) - [j278]Lingjie Li, Qiuzhen Lin, Zhong Ming, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello:
An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3284-3297 (2023) - [c103]Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li:
Multilayer Subspace Learning With Self-Sparse Robustness for Two-Dimensional Feature Extraction. ICASSP 2023: 1-5 - [c102]Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Cai Xu:
Exploring Dual Representations in Large-Scale Point Clouds: A Simple Weakly Supervised Semantic Segmentation Framework. ACM Multimedia 2023: 2371-2380 - [i27]Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. K. Qin:
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration. CoRR abs/2307.14019 (2023) - [i26]Yue Wu, Yongzhe Yuan, Xiaolong Fan, Xiaoshui Huang, Maoguo Gong, Qiguang Miao:
PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration. CoRR abs/2312.06063 (2023) - [i25]Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Can Qin:
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking. CoRR abs/2312.06117 (2023) - [i24]Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu:
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. CoRR abs/2312.09498 (2023) - 2022
- [j277]Tianheng Zhang, Jianli Zhao, Qiuxia Sun, Bin Zhang, Jianjian Chen, Maoguo Gong:
Low-rank tensor completion via combined Tucker and Tensor Train for color image recovery. Appl. Intell. 52(7): 7761-7776 (2022) - [j276]Yun Liu, Shujuan Ji, Qiang Fu, Jianli Zhao, Zhongying Zhao, Maoguo Gong:
Latent semantic-enhanced discrete hashing for cross-modal retrieval. Appl. Intell. 52(14): 16004-16020 (2022) - [j275]Zhao Wang, Maoguo Gong, Peng Li, Jie Gu, Weidong Tian:
A hypervolume distribution entropy guided computation resource allocation mechanism for the multiobjective evolutionary algorithm based on decomposition. Appl. Soft Comput. 116: 108297 (2022) - [j274]Hongbing Li, Shanfeng Wang, Qiang Chen, Maoguo Gong, Liwan Chen:
IPSMT: Multi-objective optimization of multipath transmission strategy based on improved immune particle swarm algorithm in wireless sensor networks. Appl. Soft Comput. 121: 108705 (2022) - [j273]Wencheng Han, Hao Li, Maoguo Gong:
Automatic binary and ternary change detection in SAR images based on evolutionary multiobjective optimization. Appl. Soft Comput. 125: 109200 (2022) - [j272]Weifeng Gao, Qianlong Dang, Maoguo Gong:
An adaptive framework to select the coordinate systems for evolutionary algorithms. Appl. Soft Comput. 129: 109585 (2022) - [j271]Lining Xing, Mingyang Zhang, Hao Li, Maoguo Gong, Jinghui Yang, Kesheng Wang:
Local search driven periodic scheduling for workflows with random task runtime in clouds. Comput. Ind. Eng. 168: 108033 (2022) - [j270]Qianlong Dang, Weifeng Gao, Maoguo Gong:
Multiobjective multitasking optimization assisted by multidirectional prediction method. Complex Intell. Syst. 8(2): 1663-1679 (2022) - [j269]Ning Cao, Shujuan Ji, Dickson K. W. Chiu, Maoguo Gong:
A deceptive reviews detection model: Separated training of multi-feature learning and classification. Expert Syst. Appl. 187: 115977 (2022) - [j268]Jianli Zhao, Shidong Zheng, Huan Huo, Maoguo Gong, Tianheng Zhang, Lijun Qu:
Fast weighted CP decomposition for context-aware recommendation with explicit and implicit feedback. Expert Syst. Appl. 204: 117591 (2022) - [j267]Jianli Zhao, Tianheng Zhang, Qiuxia Sun, Huan Huo, Maoguo Gong:
A novel initialization method of fixed point continuation for recommendation systems. Expert Syst. Appl. 210: 118346 (2022) - [j266]Jieyi Liu, Maoguo Gong, Mingyang Zhang, Hao Li, Shanshan Zhao:
An anti-jamming method in multistatic radar system based on convolutional neural network. IET Signal Process. 16(2): 220-231 (2022) - [j265]Bin Zhao, Maoguo Gong, Xuelong Li:
Hierarchical multimodal transformer to summarize videos. Neurocomputing 468: 360-369 (2022) - [j264]Mulin Chen, Maoguo Gong, Xuelong Li:
Robust doubly stochastic graph clustering. Neurocomputing 475: 15-25 (2022) - [j263]Lijia Ma, Zengyang Shao, Lingling Li, Jiaxiang Huang, Shiqiang Wang, Qiuzhen Lin, Jian-Qiang Li, Maoguo Gong, Asoke K. Nandi:
Heuristics and metaheuristics for biological network alignment: A review. Neurocomputing 491: 426-441 (2022) - [j262]Yun Liu, Shujuan Ji, Qiang Fu, Dickson K. W. Chiu, Maoguo Gong:
An efficient dual semantic preserving hashing for cross-modal retrieval. Neurocomputing 492: 264-277 (2022) - [j261]Han Zhang, Maoguo Gong, Feiping Nie, Xuelong Li:
Unified dual-label semi-supervised learning with top-k feature selection. Neurocomputing 501: 875-888 (2022) - [j260]Junyu Gao, Maoguo Gong, Xuelong Li:
Congested crowd instance localization with dilated convolutional swin transformer. Neurocomputing 513: 94-103 (2022) - [j259]Jianli Zhao, Hao Li, Lijun Qu, Qinzhi Zhang, Qiuxia Sun, Huan Huo, Maoguo Gong:
DCFGAN: An adversarial deep reinforcement learning framework with improved negative sampling for session-based recommender systems. Inf. Sci. 596: 222-235 (2022) - [j258]Weifeng Gao, Wei Xu, Maoguo Gong, Gary G. Yen:
A decomposition-based evolutionary algorithm using an estimation strategy for multimodal multi-objective optimization. Inf. Sci. 606: 531-548 (2022) - [j257]Yulong Ye, Qiuzhen Lin, Lijia Ma, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello:
Multiple source transfer learning for dynamic multiobjective optimization. Inf. Sci. 607: 739-757 (2022) - [j256]Qianlong Dang, Weifeng Gao, Maoguo Gong:
An efficient mixture sampling model for gaussian estimation of distribution algorithm. Inf. Sci. 608: 1157-1182 (2022) - [j255]Yiming Wang, Weifeng Gao, Maoguo Gong, Hong Li, Jin Xie:
A new two-stage based evolutionary algorithm for solving multi-objective optimization problems. Inf. Sci. 611: 649-659 (2022) - [j254]Qianlong Dang, Weifeng Gao, Maoguo Gong, Shuai Yang:
Multi-objective multitasking optimization based on positive knowledge transfer mechanism. Inf. Sci. 612: 322-343 (2022) - [j253]Fuhao Gao, Weifeng Gao, Lingling Huang, Jin Xie, Maoguo Gong:
An effective knowledge transfer method based on semi-supervised learning for evolutionary optimization. Inf. Sci. 612: 1127-1144 (2022) - [j252]Zengyang Shao, Lijia Ma, Qiuzhen Lin, Jianqiang Li, Maoguo Gong, Asoke K. Nandi:
PMCDM: Privacy-preserving multiresolution community detection in multiplex networks. Knowl. Based Syst. 244: 108542 (2022) - [j251]Tongfei Liu, Maoguo Gong, Fenlong Jiang, Yuanqiao Zhang, Hao Li:
Landslide Inventory Mapping Method Based on Adaptive Histogram-Mean Distance With Bitemporal VHR Aerial Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j250]Tao Zhan, Maoguo Gong, Xiangming Jiang, Wei Zhao:
Transfer Learning-Based Bilinear Convolutional Networks for Unsupervised Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j249]Liang Zhang, Johann Li, Ping Li, Xiaoyuan Lu, Maoguo Gong, Peiyi Shen, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Kun Qian, Björn W. Schuller:
MEDAS: an open-source platform as a service to help break the walls between medicine and informatics. Neural Comput. Appl. 34(8): 6547-6567 (2022) - [j248]Hanhong Zheng, Maoguo Gong, Tongfei Liu, Fenlong Jiang, Tao Zhan, Di Lu, Mingyang Zhang:
HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images. Pattern Recognit. 129: 108717 (2022) - [j247]Junyu Gao, Maoguo Gong, Xuelong Li:
Global Multi-Scale Information Fusion for Multi-Class Object Counting in Remote Sensing Images. Remote. Sens. 14(16): 4026 (2022) - [j246]Hongyu Zhao, Kaiyuan Feng, Yue Wu, Maoguo Gong:
An Efficient Feature Extraction Network for Unsupervised Hyperspectral Change Detection. Remote. Sens. 14(18): 4646 (2022) - [j245]Jieyi Liu, Maoguo Gong, Zhao Nie, Hao Li, Jingyao Liu, Shanshan Zhao:
Subset Selection Strategies Based on Target Positioning Characteristics for Anti-Jamming Technology. Remote. Sens. 14(24): 6230 (2022) - [j244]Wencheng Han, Hao Li, Maoguo Gong, Jianzhao Li, Yiting Liu, Zhenkun Wang:
Multi-swarm particle swarm optimization based on CUDA for sparse reconstruction. Swarm Evol. Comput. 75: 101153 (2022) - [j243]Xiaoke Ma, Peng Gang Sun, Maoguo Gong:
An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 305-316 (2022) - [j242]Sijia Zhang, Maoguo Gong, Yu Xie, A. K. Qin, Hao Li, Yuan Gao, Yew-Soon Ong:
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5427-5437 (2022) - [j241]Kaiyuan Feng, Xia Fei, Maoguo Gong, A. K. Qin, Hao Li, Yue Wu:
An Automatically Layer-Wise Searching Strategy for Channel Pruning Based on Task-Driven Sparsity Optimization. IEEE Trans. Circuits Syst. Video Technol. 32(9): 5790-5802 (2022) - [j240]Jia Liu, Maoguo Gong, Zedong Tang, A. K. Qin, Hao Li, Fenlong Jiang:
Deep Image Inpainting With Enhanced Normalization and Contextual Attention. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6599-6614 (2022) - [j239]Mingyang Zhang, Maoguo Gong, Haibo He, Shengqi Zhu:
Symmetric All Convolutional Neural-Network-Based Unsupervised Feature Extraction for Hyperspectral Images Classification. IEEE Trans. Cybern. 52(5): 2981-2993 (2022) - [j238]Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu:
Evolving Connections in Group of Neurons for Robust Learning. IEEE Trans. Cybern. 52(5): 3069-3082 (2022) - [j237]Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Maoguo Gong, Carlos A. Coello Coello:
A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. IEEE Trans. Cybern. 52(5): 3495-3509 (2022) - [j236]Zedong Tang, Maoguo Gong, Yue Wu, A. K. Qin, Kay Chen Tan:
A Multifactorial Optimization Framework Based on Adaptive Intertask Coordinate System. IEEE Trans. Cybern. 52(7): 6745-6758 (2022) - [j235]Qiuzhen Lin, Xunfeng Wu, Lijia Ma, Jianqiang Li, Maoguo Gong, Carlos A. Coello Coello:
An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 26(4): 631-645 (2022) - [j234]Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello, Maoguo Gong:
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 136-149 (2022) - [j233]Zedong Tang, Maoguo Gong, Yu Xie, Hao Li, A. K. Qin:
Multi-Task Particle Swarm Optimization With Dynamic Neighbor and Level-Based Inter-Task Learning. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 300-314 (2022) - [j232]Weifeng Gao, Jiangli Cheng, Maoguo Gong, Hong Li, Jin Xie:
Multiobjective Multitasking Optimization With Subspace Distribution Alignment and Decision Variable Transfer. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 818-827 (2022) - [j231]Maoguo Gong, Fenlong Jiang, A. K. Qin, Tongfei Liu, Tao Zhan, Di Lu, Hanhong Zheng, Mingyang Zhang:
A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j230]Maoguo Gong, Jianzhao Li, Yourun Zhang, Yue Wu, Mingyang Zhang:
Two-Path Aggregation Attention Network With Quad-Patch Data Augmentation for Few-Shot Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j229]Xiangming Jiang, Yizhe Zhao, Maoguo Gong, Tao Zhan, Mingyang Zhang:
A Vertex-Directed Evolutionary Algorithm for Multiobjective Endmember Estimation. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j228]Qiang Li, Maoguo Gong, Yuan Yuan, Qi Wang:
Symmetrical Feature Propagation Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j227]Tongfei Liu, Maoguo Gong, Di Lu, Qingfu Zhang, Hanhong Zheng, Fenlong Jiang, Mingyang Zhang:
Building Change Detection for VHR Remote Sensing Images via Local-Global Pyramid Network and Cross-Task Transfer Learning Strategy. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j226]Yourun Zhang, Maoguo Gong, Jianzhao Li, Mingyang Zhang, Fenlong Jiang, Hongyu Zhao:
Self-Supervised Monocular Depth Estimation With Multiscale Perception. IEEE Trans. Image Process. 31: 3251-3266 (2022) - [j225]Maoguo Gong, Wenfeng Liu, Yu Xie, Zedong Tang, Mingliang Xu:
Heuristic 3D Interactive Walks for Multilayer Network Embedding. IEEE Trans. Knowl. Data Eng. 34(7): 3309-3321 (2022) - [j224]Maoguo Gong, Shunfei Ji, Yu Xie, Yuan Gao, A. K. Qin:
Exploring Temporal Information for Dynamic Network Embedding. IEEE Trans. Knowl. Data Eng. 34(8): 3754-3764 (2022) - [j223]Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang:
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. IEEE Trans. Neural Networks Learn. Syst. 33(1): 244-256 (2022) - [j222]Yue Wu, Jiaheng Li, Yongzhe Yuan, A. K. Qin, Qiguang Miao, Maoguo Gong:
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4257-4270 (2022) - [j221]Xiaolong Fan, Maoguo Gong, Zedong Tang, Yue Wu:
Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7172-7184 (2022) - [j220]Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang:
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7400-7413 (2022) - [j219]Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong:
Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7806-7817 (2022) - [j218]Lijia Ma, Xiao Zhang, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Asoke K. Nandi:
Enhancing Robustness and Resilience of Multiplex Networks Against Node-Community Cascading Failures. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3808-3821 (2022) - [c101]Yue Wu, Jiaming Liu, Maoguo Gong, Wenping Ma, Qiguang Miao:
Centralized Motion-Aware Enhancement for Single Object Tracking on Point Clouds. CCIS 2022: 186-192 - [c100]Yue Wu, Hangqi Ding, Maoguo Gong, Hao Li, Qiguang Miao, Wenping Ma:
Evolutionary Multitasking for Coarse-to-Fine Point Cloud Registration with Chaotic Opposition Search Strategy. CICAI (1) 2022: 293-304 - [c99]Pu Xiong, Xiangming Jiang, Runyu Wang, Hao Li, Yue Wu, Maoguo Gong:
Evolutionary Multitasking Optimization for Multiobjective Hyperspectral Band Selection. CICAI (3) 2022: 374-385 - [c98]Zhuping Hu, Tianqi Gao, Hao Li, Maoguo Gong, Yue Wu, Jieyi Liu, Jiao Shi:
Ternary Change Detection in SAR Images Based on Bi-hierarchical SDAE and Bayesian Optimization. IJCNN 2022: 1-8 - [c97]Yiting Liu, Hao Li, Maoguo Gong, Jieyi Liu, Yue Wu, Mingyang Zhang, Jiao Shi:
Evolutionary Multitasking CNN Architecture Search for Hyperspectral Image Classification. IJCNN 2022: 1-8 - [i23]Yue Wu, Yibo Liu, Maoguo Gong, Hao Li, Zedong Tang, Qiguang Miao, Wenping Ma:
Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism. CoRR abs/2205.02996 (2022) - [i22]Yiheng Lu, Maoguo Gong, Wei Zhao, Kaiyuan Feng, Hao Li:
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification. CoRR abs/2208.04588 (2022) - [i21]Yiheng Lu, Ziyu Guan, Yaming Yang, Maoguo Gong, Wei Zhao, Kaiyuan Feng:
Entropy Induced Pruning Framework for Convolutional Neural Networks. CoRR abs/2208.06660 (2022) - [i20]Xiaolong Fan, Maoguo Gong, Yue Wu, Mingyang Zhang, Hao Li, Xiangming Jiang:
Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach. CoRR abs/2210.05676 (2022) - [i19]Mingyang Zhang, Ziqi Di, Maoguo Gong, Yue Wu, Hao Li, Xiangming Jiang:
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification. CoRR abs/2211.07316 (2022) - [i18]Yue Wu, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao:
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration. CoRR abs/2212.05679 (2022) - 2021
- [j217]Yongjie Du, Deyun Zhou, Yu Xie, Jiao Shi, Maoguo Gong:
Federated matrix factorization for privacy-preserving recommender systems. Appl. Soft Comput. 111: 107700 (2021) - [j216]Jianzhao Li, Hao Li, Yiting Liu, Maoguo Gong:
Multi-fidelity evolutionary multitasking optimization for hyperspectral endmember extraction. Appl. Soft Comput. 111: 107713 (2021) - [j215]Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, Xiaoke Ma:
TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinform. 22-S(9): 274 (2021) - [j214]Peipei Zhao, Qiguang Miao, Hang Yao, Xiangzeng Liu, Ruyi Liu, Maoguo Gong:
CA-PMG: Channel attention and progressive multi-granularity training network for fine-grained visual classification. IET Image Process. 15(14): 3718-3727 (2021) - [j213]Yue Wu, Jun-Wei Liu, Chenzhuo Zhu, Zhuangfei Bai, Qiguang Miao, Wenping Ma, Maoguo Gong:
Computational Intelligence in Remote Sensing Image Registration: A survey. Int. J. Autom. Comput. 18(1): 1-17 (2021) - [j212]Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong:
Learning smooth representations with generalized softmax for unsupervised domain adaptation. Inf. Sci. 544: 415-426 (2021) - [j211]Xiangming Jiang, Maoguo Gong, Tao Zhan, Hao Li:
Geodesic simplex based multiobjective endmember extraction for nonlinear hyperspectral mixtures. Inf. Sci. 577: 398-423 (2021) - [j210]Yu Xie, Cheng Chen, Maoguo Gong, Deyu Li, A. K. Qin:
Graph embedding via multi-scale graph representations. Inf. Sci. 578: 102-115 (2021) - [j209]Jianli Zhao, Qinzhi Zhang, Qiuxia Sun, Huan Huo, Yu Xiao, Maoguo Gong:
FolkRank++: An Optimization of FolkRank Tag Recommendation Algorithm Integrating User and Item Information. KSII Trans. Internet Inf. Syst. 15(1): 1-19 (2021) - [j208]Ke Pan, Maoguo Gong, Kaiyuan Feng, Kun Wang:
Differentially private regression analysis with dynamic privacy allocation. Knowl. Based Syst. 217: 106795 (2021) - [j207]Wenfeng Liu, Maoguo Gong, Zedong Tang:
ETINE: Enhanced Textual Information Network Embedding. Knowl. Based Syst. 220: 106917 (2021) - [j206]Dongyuan Li, Xiaoxiong Zhong, Zengfa Dou, Maoguo Gong, Xiaoke Ma:
Detecting dynamic community by fusing network embedding and nonnegative matrix factorization. Knowl. Based Syst. 221: 106961 (2021) - [j205]Wenfeng Liu, Maoguo Gong, Zedong Tang, A. K. Qin, Kai Sheng, Mingliang Xu:
Locality preserving dense graph convolutional networks with graph context-aware node representations. Neural Networks 143: 108-120 (2021) - [j204]Chao Han, Deyun Zhou, Yu Xie, Maoguo Gong, Yu Lei, Jiao Shi:
Collaborative representation with curriculum classifier boosting for unsupervised domain adaptation. Pattern Recognit. 113: 107802 (2021) - [j203]Yu Xie, Bin Yu, Shengze Lv, Chen Zhang, Guodong Wang, Maoguo Gong:
A survey on heterogeneous network representation learning. Pattern Recognit. 116: 107936 (2021) - [j202]Na Li, Deyun Zhou, Jiao Shi, Mingyang Zhang, Tao Wu, Maoguo Gong:
Deep Fully Convolutional Embedding Networks for Hyperspectral Images Dimensionality Reduction. Remote. Sens. 13(4): 706 (2021) - [j201]Na Li, Deyun Zhou, Jiao Shi, Tao Wu, Maoguo Gong:
Spectral-Locational-Spatial Manifold Learning for Hyperspectral Images Dimensionality Reduction. Remote. Sens. 13(14): 2752 (2021) - [j200]Xiangming Jiang, Maoguo Gong, Tao Zhan, Kai Sheng, Mingliang Xu:
Efficient Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2418-2431 (2021) - [j199]Hao Li, Maoguo Gong, Mingyang Zhang, Yue Wu:
Spatially Self-Paced Convolutional Networks for Change Detection in Heterogeneous Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4966-4979 (2021) - [j198]Yue Wu, Zhenglei Xiao, Shaodi Liu, Qiguang Miao, Wenping Ma, Maoguo Gong, Fei Xie, Yang Zhang:
A Two-Step Method for Remote Sensing Images Registration Based on Local and Global Constraints. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5194-5206 (2021) - [j197]Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu:
Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 11713-11727 (2021) - [j196]Lijia Ma, Shiqiang Wang, Qiuzhen Lin, Jianqiang Li, Zhuhong You, Jiaxiang Huang, Maoguo Gong:
Multi-Neighborhood Learning for Global Alignment in Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2598-2611 (2021) - [j195]Dayong Tian, Deyun Zhou, Maoguo Gong, Yiwen Wei:
Interval Type-2 Fuzzy Logic for Semisupervised Multimodal Hashing. IEEE Trans. Cybern. 51(7): 3802-3812 (2021) - [j194]Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao:
Pareto Self-Paced Learning Based on Differential Evolution. IEEE Trans. Cybern. 51(8): 4187-4200 (2021) - [j193]Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello:
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces. IEEE Trans. Evol. Comput. 25(1): 130-144 (2021) - [j192]Zedong Tang, Maoguo Gong, Yue Wu, Wenfeng Liu, Yu Xie:
Regularized Evolutionary Multitask Optimization: Learning to Intertask Transfer in Aligned Subspace. IEEE Trans. Evol. Comput. 25(2): 262-276 (2021) - [j191]Xun Zhou, A. K. Qin, Maoguo Gong, Kay Chen Tan:
A Survey on Evolutionary Construction of Deep Neural Networks. IEEE Trans. Evol. Comput. 25(5): 894-912 (2021) - [j190]Fanhua Shang, Tao Xu, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong:
Differentially Private ADMM Algorithms for Machine Learning. IEEE Trans. Inf. Forensics Secur. 16: 4733-4745 (2021) - [j189]Benhui Zhang, Maoguo Gong, Jianbin Huang, Xiaoke Ma:
Clustering Heterogeneous Information Network by Joint Graph Embedding and Nonnegative Matrix Factorization. ACM Trans. Knowl. Discov. Data 15(4): 73:1-73:25 (2021) - [j188]Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin:
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection. IEEE Trans. Multim. 23: 784-796 (2021) - [j187]Maoguo Gong, Jia Liu, A. K. Qin, Kun Zhao, Kay Chen Tan:
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 420-434 (2021) - [c96]Mingliang Zhang, Zheng Feng, Jinxin Wei, Maoguo Gong:
Updating Land-Cover Maps by Iterative Difference Learning Network. CCIS 2021: 193-197 - [c95]Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang:
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature. CVPR 2021: 13479-13487 - [c94]Tianqi Gao, Wenyuan Qiao, Hao Li, Maoguo Gong, Gengchao Li, Jie Min:
Change Detection in SAR Images Based on Evolutionary Multiobjective Optimization and Superpixel Segmentation. EMO 2021: 734-745 - [c93]Yongjie Du, Deyun Zhou, Jiao Shi, Yu Lei, Maoguo Gong:
Dynamic-graph-based Unsupervised Domain Adaptation. IJCNN 2021: 1-7 - [i17]Mulin Chen, Maoguo Gong, Xuelong Li:
Feature Weighted Non-negative Matrix Factorization. CoRR abs/2103.13491 (2021) - [i16]Yuan Gao, Maoguo Gong, Yu Xie, A. K. Qin:
An attention-based unsupervised adversarial model for movie review spam detection. CoRR abs/2104.00955 (2021) - [i15]Yuan Gao, Jiawei Li, Maoguo Gong, Yu Xie, A. K. Qin:
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. CoRR abs/2104.06670 (2021) - [i14]Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. CoRR abs/2104.06677 (2021) - [i13]Xiaolong Fan, Maoguo Gong, Yue Wu, Hao Li:
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations. CoRR abs/2105.06715 (2021) - [i12]Bin Zhao, Maoguo Gong, Xuelong Li:
AudioVisual Video Summarization. CoRR abs/2105.07667 (2021) - [i11]Junyu Gao, Maoguo Gong, Xuelong Li:
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer. CoRR abs/2108.00584 (2021) - [i10]Bin Zhao, Maoguo Gong, Xuelong Li:
Hierarchical Multimodal Transformer to Summarize Videos. CoRR abs/2109.10559 (2021) - [i9]Xiaolong Zheng, Deyun Zhou, Na Li, Yu Lei, Tao Wu, Maoguo Gong:
Self-adaptive Multi-task Particle Swarm Optimization. CoRR abs/2110.04473 (2021) - [i8]Junyu Gao, Maoguo Gong, Xuelong Li:
Audio-visual Representation Learning for Anomaly Events Detection in Crowds. CoRR abs/2110.14862 (2021) - [i7]Maoguo Gong, Yuan Gao, Yue Wu, A. K. Qin:
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning. CoRR abs/2110.15522 (2021) - 2020
- [j186]Jingwei Kou, Tao Zhan, Deyun Zhou, Wei Wang, Zhengshang Da, Maoguo Gong:
The laser-induced damage change detection for optical elements using siamese convolutional neural networks. Appl. Soft Comput. 87: 106015 (2020) - [j185]Shanfeng Wang, Maoguo Gong, Wenfeng Liu, Yue Wu:
Preventing epidemic spreading in networks by community detection and memetic algorithm. Appl. Soft Comput. 89: 106118 (2020) - [j184]Maoguo Gong, Yu Xie, Ke Pan, Kaiyuan Feng, A. K. Qin:
A Survey on Differentially Private Machine Learning [Review Article]. IEEE Comput. Intell. Mag. 15(2): 49-64 (2020) - [j183]Xinchao Zhao, Maoguo Gong, Xingquan Zuo, Linqiang Pan:
Guest editorial on S.I.: Bio-inspired computing: theories and application. Evol. Intell. 13(1): 1-2 (2020) - [j182]Shanfeng Wang, Maoguo Gong, Yue Wu, Mingyang Zhang:
Multi-objective optimization for location-based and preferences-aware recommendation. Inf. Sci. 513: 614-626 (2020) - [j181]Lijia Ma, Yutao Zhang, Jianqiang Li, Qiuzhen Lin, Qing Bao, Shanfeng Wang, Maoguo Gong:
Community-aware dynamic network embedding by using deep autoencoder. Inf. Sci. 519: 22-42 (2020) - [j180]Shujuan Ji, Qi Zhang, Jinpeng Li, Dickson K. W. Chiu, Shaohua Xu, Lei Yi, Maoguo Gong:
A burst-based unsupervised method for detecting review spammer groups. Inf. Sci. 536: 454-469 (2020) - [j179]Yuan Gao, Maoguo Gong, Yu Xie, Hua Zhong:
Community-oriented attributed network embedding. Knowl. Based Syst. 193: 105418 (2020) - [j178]Yu Xie, Chuanyu Yao, Maoguo Gong, Cheng Chen, A. K. Qin:
Graph convolutional networks with multi-level coarsening for graph classification. Knowl. Based Syst. 194: 105578 (2020) - [j177]Zhihao Huang, Xiaoxiong Zhong, Qiang Wang, Maoguo Gong, Xiaoke Ma:
Detecting community in attributed networks by dynamically exploring node attributes and topological structure. Knowl. Based Syst. 196: 105760 (2020) - [j176]Zhongying Zhao, Xuejian Zhang, Hui Zhou, Chao Li, Maoguo Gong, Yongqing Wang:
HetNERec: Heterogeneous network embedding based recommendation. Knowl. Based Syst. 204: 106218 (2020) - [j175]Ruyi Liu, Qiguang Miao, Yi Zhang, Maoguo Gong, Pengfei Xu:
A Semi-Supervised High-Level Feature Selection Framework for Road Centerline Extraction. IEEE Geosci. Remote. Sens. Lett. 17(5): 894-898 (2020) - [j174]Fenlong Jiang, Maoguo Gong, Tao Zhan, Xiaolong Fan:
A Semisupervised GAN-Based Multiple Change Detection Framework in Multi-Spectral Images. IEEE Geosci. Remote. Sens. Lett. 17(7): 1223-1227 (2020) - [j173]Maoguo Gong, Jialun Feng, Yu Xie:
Privacy-enhanced multi-party deep learning. Neural Networks 121: 484-496 (2020) - [j172]Maoguo Gong, Huimin Zeng, Yu Xie, Hao Li, Zedong Tang:
Local distinguishability aggrandizing network for human anomaly detection. Neural Networks 122: 364-373 (2020) - [j171]Maoguo Gong, Ke Pan, Yu Xie, A. K. Qin, Zedong Tang:
Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition. Neural Networks 125: 131-141 (2020) - [j170]Yu Xie, Yuanqiao Zhang, Maoguo Gong, Zedong Tang, Chao Han:
MGAT: Multi-view Graph Attention Networks. Neural Networks 132: 180-189 (2020) - [j169]Xiaolong Fan, Maoguo Gong, Yu Xie, Fenlong Jiang, Hao Li:
Structured self-attention architecture for graph-level representation learning. Pattern Recognit. 100: 107084 (2020) - [j168]Chao Han, Yu Lei, Yu Xie, Deyun Zhou, Maoguo Gong:
Visual domain adaptation based on modified A-distance and sparse filtering. Pattern Recognit. 104: 107254 (2020) - [j167]Maoguo Gong, Chuanyu Yao, Yu Xie, Mingliang Xu:
Semi-supervised network embedding with text information. Pattern Recognit. 104: 107347 (2020) - [j166]Yue Wu, Wenping Ma, Maoguo Gong, Zhuangfei Bai, Wei Zhao, Qiongqiong Guo, Xiaobo Chen, Qiguang Miao:
A Coarse-to-Fine Network for Ship Detection in Optical Remote Sensing Images. Remote. Sens. 12(2): 246 (2020) - [j165]Binge Cui, Jiandi Cui, Yan Lu, Nannan Guo, Maoguo Gong:
A Sparse Representation-Based Sample Pseudo-Labeling Method for Hyperspectral Image Classification. Remote. Sens. 12(4): 664 (2020) - [j164]Yue Wu, Zhuangfei Bai, Qiguang Miao, Wenping Ma, Yuelei Yang, Maoguo Gong:
A Classified Adversarial Network for Multi-Spectral Remote Sensing Image Change Detection. Remote. Sens. 12(13): 2098 (2020) - [j163]Lijia Ma, Xiaopeng Huang, Jianqiang Li, Qiuzhen Lin, Zhuhong You, Maoguo Gong, Victor C. M. Leung:
Privacy-Preserving Global Structural Balance Computation in Signed Networks. IEEE Trans. Comput. Soc. Syst. 7(1): 164-177 (2020) - [j162]Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming:
Cost-Aware Robust Control of Signed Networks by Using a Memetic Algorithm. IEEE Trans. Cybern. 50(10): 4430-4443 (2020) - [j161]Xiaolong Zheng, A. K. Qin, Maoguo Gong, Deyun Zhou:
Self-Regulated Evolutionary Multitask Optimization. IEEE Trans. Evol. Comput. 24(1): 16-28 (2020) - [j160]Maoguo Gong, Cheng Chen, Yu Xie, Shanfeng Wang:
Community Preserving Network Embedding Based on Memetic Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 108-118 (2020) - [j159]Maoguo Gong, Yingying Duan, Hao Li:
Group Self-Paced Learning With a Time-Varying Regularizer for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 58(4): 2481-2493 (2020) - [j158]Tao Zhan, Maoguo Gong, Xiangming Jiang, Mingyang Zhang:
Unsupervised Scale-Driven Change Detection With Deep Spatial-Spectral Features for VHR Images. IEEE Trans. Geosci. Remote. Sens. 58(8): 5653-5665 (2020) - [j157]Xiangming Jiang, Maoguo Gong, Tao Zhan, Mingyang Zhang:
Multiobjective Endmember Extraction Based on Bilinear Mixture Model. IEEE Trans. Geosci. Remote. Sens. 58(11): 8192-8210 (2020) - [j156]Muwei Jian, Junyu Dong, Maoguo Gong, Hui Yu, Liqiang Nie, Yilong Yin, Kin-Man Lam:
Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment. IEEE Trans. Multim. 22(4): 970-979 (2020) - [j155]Jia Liu, Maoguo Gong, A. K. Qin, Kay Chen Tan:
Bipartite Differential Neural Network for Unsupervised Image Change Detection. IEEE Trans. Neural Networks Learn. Syst. 31(3): 876-890 (2020) - [j154]Hongying Liu, Fanhua Shang, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao:
Sparse Manifold-Regularized Neural Networks for Polarimetric SAR Terrain Classification. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3007-3016 (2020) - [c92]Yizhe Zhao, Hao Li, Yue Wu, Shanfeng Wang, Maoguo Gong:
Endmember Selection of Hyperspectral Images based on Evolutionary Multitask. CEC 2020: 1-7 - [c91]Jia Liu, Wenhua Zhang, Maoguo Gong, Haibo He:
Nucleus Neural Network: A Data-driven Self-organized Architecture. IJCNN 2020: 1-8 - [c90]Xiaolong Fan, Maoguo Gong, Hao Li, Yue Wu, Shanfeng Wang:
Gated Graph Pooling with Self-Loop for Graph Classification. IJCNN 2020: 1-7 - [c89]Chao Han, Deyun Zhou, Yu Xie, Yu Lei, Jiao Shi, Maoguo Gong:
Discrepancy-Aware Collaborative Representation for Unsupervised Domain Adaptation. IJCNN 2020: 1-6 - [i6]Wenfeng Liu, Maoguo Gong, Zedong Tang, A. K. Qin:
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations. CoRR abs/2010.05404 (2020) - [i5]Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong:
Differentially Private ADMM Algorithms for Machine Learning. CoRR abs/2011.00164 (2020) - [i4]Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Fan Yu, Zidong Wang, Min Wang:
AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy. CoRR abs/2012.13077 (2020)
2010 – 2019
- 2019
- [j153]Huihui Dong, Wenping Ma, Yue Wu, Maoguo Gong, Licheng Jiao:
Local Descriptor Learning for Change Detection in Synthetic Aperture Radar Images via Convolutional Neural Networks. IEEE Access 7: 15389-15403 (2019) - [j152]Shuang Liang, Hao Li, Yun Zhu, Maoguo Gong:
Detecting Positive and Negative Changes From SAR Images by an Evolutionary Multi-Objective Approach. IEEE Access 7: 63638-63649 (2019) - [j151]Zhao Wang, Maoguo Gong:
Dynamic deployment optimization of near space communication system using a novel estimation of distribution algorithm. Appl. Soft Comput. 78: 569-582 (2019) - [j150]Zedong Tang, Maoguo Gong:
Adaptive multifactorial particle swarm optimisation. CAAI Trans. Intell. Technol. 4(1): 37-46 (2019) - [j149]Xinchao Zhao, Maoguo Gong, Xingquan Zuo, Linqiang Pan:
Guest Editorial: Advances in Bio-inspired Heuristics for Computing. CAAI Trans. Intell. Technol. 4(3): 127-128 (2019) - [j148]Chen Zhang, Xiongwei Hu, Yu Xie, Maoguo Gong, Bin Yu:
A Privacy-Preserving Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition. Frontiers Neurorobotics 13: 112 (2019) - [j147]Yue Wu, Maoguo Gong, Wenping Ma, Shanfeng Wang:
High-order graph matching based on ant colony optimization. Neurocomputing 328: 97-104 (2019) - [j146]Bingrui Geng, Licheng Jiao, Maoguo Gong, Lingling Li, Yue Wu:
A two-step personalized location recommendation based on multi-objective immune algorithm. Inf. Sci. 475: 161-181 (2019) - [j145]Yu Xie, Maoguo Gong, Shanfeng Wang, Wenfeng Liu, Bin Yu:
Sim2vec: Node similarity preserving network embedding. Inf. Sci. 495: 37-51 (2019) - [j144]Yu Xie, Maoguo Gong, A. K. Qin, Zedong Tang, Xiaolong Fan:
TPNE: Topology preserving network embedding. Inf. Sci. 504: 20-31 (2019) - [j143]Maoguo Gong, Ke Pan, Yu Xie:
Differential privacy preservation in regression analysis based on relevance. Knowl. Based Syst. 173: 140-149 (2019) - [j142]Xudong Niu, Maoguo Gong, Tao Zhan, Yuelei Yang:
A Conditional Adversarial Network for Change Detection in Heterogeneous Images. IEEE Geosci. Remote. Sens. Lett. 16(1): 45-49 (2019) - [j141]Jia Liu, Maoguo Gong, Haibo He:
Deep associative neural network for associative memory based on unsupervised representation learning. Neural Networks 113: 41-53 (2019) - [j140]Maoguo Gong, Yuelei Yang, Tao Zhan, Xudong Niu, Shuwei Li:
A Generative Discriminatory Classified Network for Change Detection in Multispectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(1): 321-333 (2019) - [j139]Maoguo Gong, Aimin Zhou, A. K. Qin, Linqiang Pan:
Guest editorial special issue on collaborative learning and optimization based on swarm and evolutionary computation. Swarm Evol. Comput. 47: 1-2 (2019) - [j138]Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan:
Multiobjective Sparse Non-Negative Matrix Factorization. IEEE Trans. Cybern. 49(8): 2941-2954 (2019) - [j137]Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming:
Reliable Link Inference for Network Data With Community Structures. IEEE Trans. Cybern. 49(9): 3347-3361 (2019) - [j136]Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao, Jia Liu:
Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning. IEEE Trans. Evol. Comput. 23(2): 288-302 (2019) - [j135]Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello, Jianyong Chen, Jun Zhang:
A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 23(3): 391-405 (2019) - [j134]Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang:
Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Trans. Evol. Comput. 23(5): 733-747 (2019) - [j133]Maoguo Gong, Zedong Tang, Hao Li, Jun Zhang:
Evolutionary Multitasking With Dynamic Resource Allocating Strategy. IEEE Trans. Evol. Comput. 23(5): 858-869 (2019) - [j132]Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu, Yifang Ban:
Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(4): 2277-2289 (2019) - [j131]Mingyang Zhang, Maoguo Gong, Yishun Mao, Jun Li, Yue Wu:
Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network. IEEE Trans. Geosci. Remote. Sens. 57(5): 2669-2688 (2019) - [c88]Tao Wu, Jiao Shi, Deyun Zhou, Yu Lei, Maoguo Gong:
A Multi-objective Particle Swarm Optimization for Neural Networks Pruning. CEC 2019: 570-577 - [c87]Yingying Duan, Jingjing Ma, Hao Li, Mingyang Zhang, Zedong Tang, Maoguo Gong:
Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering. CEC 2019: 998-1005 - [c86]Zedong Tang, Maoguo Gong, Fenlong Jiang, Hao Li, Yue Wu:
Multipopulation Optimization for Multitask Optimization. CEC 2019: 1906-1913 - [c85]Xiaolong Zheng, Yu Lei, A. K. Qin, Deyun Zhou, Jiao Shi, Maoguo Gong:
Differential Evolutionary Multi-task Optimization. CEC 2019: 1914-1921 - [c84]Shuang Liang, Hao Li, Maoguo Gong, Yue Wu, Yun Zhu:
Distributed Multi-Objective Community Detection in Large-Scale and Complex Networks. CIS 2019: 201-205 - [c83]Shuang Liang, Yun Zhu, Hao Li, Maoguo Gong:
Nearest-neighbour Joint Probabilistic Data Association Filter Based on Random Finite Set. ICCAIS 2019: 1-6 - [c82]Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao:
A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images. ICDM Workshops 2019: 165-171 - [c81]Tao Zhan, Maoguo Gong:
A Hybrid Change Detection Method using Deep Feature Representations for VHR Images. MultiTemp 2019: 1-4 - [i3]Jia Liu, Maoguo Gong, Haibo He:
Nucleus Neural Network for Super Robust Learning. CoRR abs/1904.04036 (2019) - 2018
- [j130]Mingyang Zhang, Maoguo Gong, Yongqiang Chan:
Hyperspectral band selection based on multi-objective optimization with high information and low redundancy. Appl. Soft Comput. 70: 604-621 (2018) - [j129]Hao Li, Maoguo Gong, Congcong Wang, Qiguang Miao:
Self-paced stacked denoising autoencoders based on differential evolution for change detection. Appl. Soft Comput. 71: 698-714 (2018) - [j128]Jingjing Ma, Xiangming Jiang, Maoguo Gong:
Two-phase clustering algorithm with density exploring distance measure. CAAI Trans. Intell. Technol. 3(1): 59-64 (2018) - [j127]Wenfeng Liu, Maoguo Gong, Shanfeng Wang, Lijia Ma:
A two-level learning strategy based memetic algorithm for enhancing community robustness of networks. Inf. Sci. 422: 290-304 (2018) - [j126]Hao Li, Maoguo Gong, Qiguang Miao, Bin Wang:
Interactive active contour with kernel descriptor. Inf. Sci. 450: 53-72 (2018) - [j125]Dayong Tian, Maoguo Gong:
A novel edge-weight based fuzzy clustering method for change detection in SAR images. Inf. Sci. 467: 415-430 (2018) - [j124]Tao Wu, Jiao Shi, Xiangming Jiang, Deyun Zhou, Maoguo Gong:
A multi-objective memetic algorithm for low rank and sparse matrix decomposition. Inf. Sci. 468: 172-192 (2018) - [j123]Yue Wu, Qiguang Miao, Wenping Ma, Maoguo Gong, Shanfeng Wang:
PSOSAC: Particle Swarm Optimization Sample Consensus Algorithm for Remote Sensing Image Registration. IEEE Geosci. Remote. Sens. Lett. 15(2): 242-246 (2018) - [j122]Tao Zhan, Maoguo Gong, Xiangming Jiang, Shuwei Li:
Log-Based Transformation Feature Learning for Change Detection in Heterogeneous Images. IEEE Geosci. Remote. Sens. Lett. 15(9): 1352-1356 (2018) - [j121]Yu Xie, Maoguo Gong, Shanfeng Wang, Bin Yu:
Community discovery in networks with deep sparse filtering. Pattern Recognit. 81: 50-59 (2018) - [j120]Zhun Fan, Jiewei Lu, Maoguo Gong, Honghui Xie, Erik D. Goodman:
Automatic Tobacco Plant Detection in UAV Images via Deep Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 876-887 (2018) - [j119]Lijia Ma, Maoguo Gong, Jianan Yan, Wenfeng Liu, Shanfeng Wang:
Detecting composite communities in multiplex networks: A multilevel memetic algorithm. Swarm Evol. Comput. 39: 177-191 (2018) - [j118]Jiaxiang Huang, Maoguo Gong, Lijia Ma:
A Global Network Alignment Method Using Discrete Particle Swarm Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 705-718 (2018) - [j117]Xiangming Jiang, Maoguo Gong, Hao Li, Mingyang Zhang, Jun Li:
A Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 56(1): 508-523 (2018) - [j116]Jia Liu, Maoguo Gong, A. Kai Qin, Puzhao Zhang:
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images. IEEE Trans. Neural Networks Learn. Syst. 29(3): 545-559 (2018) - [j115]Jia Liu, Maoguo Gong, Qiguang Miao, Xiaogang Wang, Hao Li:
Structure Learning for Deep Neural Networks Based on Multiobjective Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2450-2463 (2018) - [j114]Wei Zhao, Shulong Tan, Ziyu Guan, Boxuan Zhang, Maoguo Gong, Zhengwen Cao, Quan Wang:
Learning to Map Social Network Users by Unified Manifold Alignment on Hypergraph. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5834-5846 (2018) - [c80]Can Qin, Maoguo Gong, Yue Wu, Dayong Tian, Puzhao Zhang:
Efficient Scene Labeling via Sparse Annotations. AAAI Workshops 2018: 194-201 - [c79]Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang:
Multiobjective sparse unmixing approach with noise removal. GECCO 2018: 681-688 - [c78]Tao Zhan, Zedong Tang, Maoguo Gong, Xiangming Jiang, Jiao Shi:
Decomposition-based multiobjective particle swarm optimization for change detection in SAR images. GECCO (Companion) 2018: 1729-1736 - [c77]Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu:
Feature Hashing for Network Representation Learning. IJCAI 2018: 2812-2818 - 2017
- [b1]Maoguo Gong, Qing Cai, Lijia Ma, Shanfeng Wang, Yu Lei:
Computational Intelligence for Network Structure Analytics. Springer 2017, ISBN 978-981-10-4557-8, pp. 1-283 - [j113]Hongbing Li, Shanfeng Wang, Maoguo Gong, Qiang Chen, Liwan Chen:
IM2DCA: Immune mechanism based multipath decoupling connectivity algorithm with fault tolerance under coverage optimization in wireless sensor networks. Appl. Soft Comput. 58: 540-552 (2017) - [j112]Hongrun Wu, Li Kuang, Feng Wang, Qi Rao, Maoguo Gong, Yuanxiang Li:
A multiobjective box-covering algorithm for fractal modularity on complex networks. Appl. Soft Comput. 61: 294-313 (2017) - [j111]Maoguo Gong:
Preface. CAAI Trans. Intell. Technol. 2(2): 63 (2017) - [j110]Huming Zhu, Yanfei Wu, Pei Li, Peng Zhang, Zhe Ji, Maoguo Gong:
An OpenCL-accelerated parallel immunodominance clone selection algorithm for feature selection. Concurr. Comput. Pract. Exp. 29(9) (2017) - [j109]Maoguo Gong, Xiangming Jiang, Hao Li:
Optimization methods for regularization-based ill-posed problems: a survey and a multi-objective framework. Frontiers Comput. Sci. 11(3): 362-391 (2017) - [j108]Yu Lei, Maoguo Gong, Licheng Jiao, Jiao Shi, Yu Zhou:
An adaptive coevolutionary memetic algorithm for examination timetabling problems. Int. J. Bio Inspired Comput. 10(4): 248-257 (2017) - [j107]Fei Cheng, Kai Liu, Maoguo Gong, Kaiyuan Fu, Jiangbo Xi:
Robust visual tracking via randomly projected instance learning. Int. J. Intell. Comput. Cybern. 10(3): 258-271 (2017) - [j106]Lijia Ma, Maoguo Gong, Jianan Yan, Fuyan Yuan, Haifeng Du:
A decomposition-based multi-objective optimization for simultaneous balance computation and transformation in signed networks. Inf. Sci. 378: 144-160 (2017) - [j105]Shanfeng Wang, Maoguo Gong, Haoliang Li, Junwei Yang, Yue Wu:
Memetic algorithm based location and topic aware recommender system. Knowl. Based Syst. 131: 125-134 (2017) - [j104]Wenping Ma, Zelian Wen, Yue Wu, Licheng Jiao, Maoguo Gong, Yafei Zheng, Liang Liu:
Remote Sensing Image Registration With Modified SIFT and Enhanced Feature Matching. IEEE Geosci. Remote. Sens. Lett. 14(1): 3-7 (2017) - [j103]Mingyang Zhang, Jingjing Ma, Maoguo Gong:
Unsupervised Hyperspectral Band Selection by Fuzzy Clustering With Particle Swarm Optimization. IEEE Geosci. Remote. Sens. Lett. 14(5): 773-777 (2017) - [j102]Maoguo Gong, Xudong Niu, Puzhao Zhang, Zhetao Li:
Generative Adversarial Networks for Change Detection in Multispectral Imagery. IEEE Geosci. Remote. Sens. Lett. 14(12): 2310-2314 (2017) - [j101]Yi Zuo, Maoguo Gong, Licheng Jiao:
Adaptive multimeme algorithm for flexible job shop scheduling problem. Nat. Comput. 16(4): 677-698 (2017) - [j100]Lingling Li, Licheng Jiao, Jiaqi Zhao, Ronghua Shang, Maoguo Gong:
Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering. Pattern Recognit. 63: 1-14 (2017) - [j99]Linzhi Su, Maoguo Gong, Puzhao Zhang, Mingyang Zhang, Jia Liu, Hailun Yang:
Deep learning and mapping based ternary change detection for information unbalanced images. Pattern Recognit. 66: 213-228 (2017) - [j98]Maoguo Gong, Hao Li, Enhu Luo, Jing Liu, Jia Liu:
A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing. IEEE Trans. Evol. Comput. 21(2): 234-248 (2017) - [j97]Maoguo Gong, Zhao Wang, Zexuan Zhu, Licheng Jiao:
A Similarity-Based Multiobjective Evolutionary Algorithm for Deployment Optimization of Near Space Communication System. IEEE Trans. Evol. Comput. 21(6): 878-897 (2017) - [j96]Maoguo Gong, Tao Zhan, Puzhao Zhang, Qiguang Miao:
Superpixel-Based Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 55(5): 2658-2673 (2017) - [j95]Wei Zhao, Zhirui Wang, Maoguo Gong, Jia Liu:
Discriminative Feature Learning for Unsupervised Change Detection in Heterogeneous Images Based on a Coupled Neural Network. IEEE Trans. Geosci. Remote. Sens. 55(12): 7066-7080 (2017) - [c76]Jia Liu, Maoguo Gong, Qiguang Miao:
Neuron Learning Machine for Representation Learning. AAAI 2017: 4961-4962 - [c75]Huming Zhu, Jianing Kou, Linyan Qiu, Yuqi Guo, Mingwei Niu, Maoguo Gong, Licheng Jiao:
Distributed SAR Image Change Detection with OpenCL-Enabled Spark. ETCD@ASPLOS 2017: 2:1-2:6 - [c74]Wenping Ma, Yue Wu, Shanfeng Wang, Maoguo Gong:
Improved OBS-NMF Algorithm for Intrusion Detection. BIC-TA 2017: 596-613 - [c73]Wenfeng Liu, Shanfeng Wang, Maoguo Gong, Mingyang Zhang:
An improved multiobjective evolutionary approach for community detection in multilayer networks. CEC 2017: 443-449 - [c72]Feng Chen, Jiao Shi, Yunhong Ma, Yu Lei, Maoguo Gong:
Differential evolution algorithm with learning selection strategy for SAR image change detection. CEC 2017: 450-457 - [c71]Hao Li, Jingjing Ma, Jia Liu, Maoguo Gong, Mingyang Zhang:
Multi-objective endmember extraction for hyperspectral images. CEC 2017: 458-465 - [c70]Na Li, Yu Lei, Jiao Shi, Maoguo Gong:
Fuzzy multi-objective sparse feature learning. CEC 2017: 466-473 - [c69]Zedong Tang, Maoguo Gong, Mingyang Zhang:
Evolutionary multi-task learning for modular extremal learning machine. CEC 2017: 474-479 - [c68]Qixiang Wang, Maoguo Gong, Chao Song, Shanfeng Wang:
Discrete particle swarm optimization based influence maximization in complex networks. CEC 2017: 488-494 - [c67]Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu:
Memetic algorithm based feature selection for hyperspectral images classification. CEC 2017: 495-502 - [c66]Shanfeng Wang, Maoguo Gong, Can Qin, Junwei Yang:
A Multi-objective Framework for Location Recommendation Based on User Preference. CIS 2017: 39-43 - [c65]Wenping Ma, Yue Wu, Maoguo Gong, Can Qin, Shanfeng Wang:
Local Probabilistic Matrix Factorization for Personal Recommendation. CIS 2017: 97-101 - [c64]Hao Li, Maoguo Gong:
Self-paced Convolutional Neural Networks. IJCAI 2017: 2110-2116 - [c63]Jia Liu, Maoguo Gong, Qiguang Miao:
Modeling Hebb Learning Rule for Unsupervised Learning. IJCAI 2017: 2315-2321 - [c62]Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu:
DRLnet: Deep Difference Representation Learning Network and An Unsupervised Optimization Framework. IJCAI 2017: 3413-3419 - [c61]Shanfeng Wang, Maoguo Gong, Yue Wu, Xiaolei Qin:
Parallel Particle Swarm Optimization for Community Detection in Large-Scale Networks. SEAL 2017: 797-809 - [i2]Yu Zhao, Rennong Yang, Guillaume Chevalier, Maoguo Gong:
Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors. CoRR abs/1708.08989 (2017) - [i1]Dayong Tian, Maoguo Gong, Deyun Zhou, Jiao Shi, Yu Lei:
Semi-supervised Multimodal Hashing. CoRR abs/1712.03404 (2017) - 2016
- [j94]Dongdong Yang, Rong Fei, Junliang Yao, Maoguo Gong:
Two-stage SAR image segmentation framework with an efficient union filter and multi-objective kernel clustering. Appl. Soft Comput. 44: 30-44 (2016) - [j93]Hao Li, Maoguo Gong, Qiao Wang, Jia Liu, Linzhi Su:
A multiobjective fuzzy clustering method for change detection in SAR images. Appl. Soft Comput. 46: 767-777 (2016) - [j92]Jiao Shi, Yu Lei, Ying Zhou, Maoguo Gong:
Enhanced rough-fuzzy c-means algorithm with strict rough sets properties. Appl. Soft Comput. 46: 827-850 (2016) - [j91]Mengxuan Zhang, Licheng Jiao, Wenping Ma, Jingjing Ma, Maoguo Gong:
Multi-objective evolutionary fuzzy clustering for image segmentation with MOEA/D. Appl. Soft Comput. 48: 621-637 (2016) - [j90]Jianan Yan, Maoguo Gong, Lijia Ma, Shanfeng Wang, Bo Shen:
Structure optimization based on memetic algorithm for adjusting epidemic threshold on complex networks. Appl. Soft Comput. 49: 224-237 (2016) - [j89]Maoguo Gong, Guanjun Li, Zhao Wang, Lijia Ma, Dayong Tian:
An efficient shortest path approach for social networks based on community structure. CAAI Trans. Intell. Technol. 1(1): 114-123 (2016) - [j88]Maoguo Gong, Hao Li, Xiangming Jiang:
A multi-objective optimization framework for ill-posed inverse problems. CAAI Trans. Intell. Technol. 1(3): 225-240 (2016) - [j87]Maoguo Gong, Shanfeng Wang, Wenfeng Liu, Jianan Yan, Licheng Jiao:
Evolutionary computation in China: A literature survey. CAAI Trans. Intell. Technol. 1(4): 334-354 (2016) - [j86]Maoguo Gong, Chao Song, Chao Duan, Lijia Ma, Bo Shen:
An Efficient Memetic Algorithm for Influence Maximization in Social Networks. IEEE Comput. Intell. Mag. 11(3): 22-33 (2016) - [j85]Qing Cai, Lijia Ma, Maoguo Gong, Dayong Tian:
A survey on network community detection based on evolutionary computation. Int. J. Bio Inspired Comput. 8(2): 84-98 (2016) - [j84]Yi Zuo, Jiulin Zeng, Maoguo Gong, Licheng Jiao:
Tag-aware recommender systems based on deep neural networks. Neurocomputing 204: 51-60 (2016) - [j83]Maoguo Gong, Yue Wu, Qing Cai, Wenping Ma, A. K. Qin, Zhenkun Wang, Licheng Jiao:
Discrete particle swarm optimization for high-order graph matching. Inf. Sci. 328: 158-171 (2016) - [j82]Dayong Tian, Maoguo Gong, Linzhi Su:
Generalized correlation for shape alignment. Inf. Sci. 363: 40-51 (2016) - [j81]Maoguo Gong, Jianan Yan, Bo Shen, Lijia Ma, Qing Cai:
Influence maximization in social networks based on discrete particle swarm optimization. Inf. Sci. 367-368: 600-614 (2016) - [j80]Shanfeng Wang, Maoguo Gong, Haoliang Li, Junwei Yang:
Multi-objective optimization for long tail recommendation. Knowl. Based Syst. 104: 145-155 (2016) - [j79]Hui Zhang, Maoguo Gong, Puzhao Zhang, Linzhi Su, Jiao Shi:
Feature-Level Change Detection Using Deep Representation and Feature Change Analysis for Multispectral Imagery. IEEE Geosci. Remote. Sens. Lett. 13(11): 1666-1670 (2016) - [j78]Shanfeng Wang, Maoguo Gong, Haifeng Du, Lijia Ma, Qiguang Miao, Wei Du:
Optimizing dynamical changes of structural balance in signed network based on memetic algorithm. Soc. Networks 44: 64-73 (2016) - [j77]Jia Liu, Maoguo Gong, Jiaojiao Zhao, Hao Li, Licheng Jiao:
Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images. Soft Comput. 20(12): 4645-4657 (2016) - [j76]Maoguo Gong, Zhenglin Peng, Lijia Ma, Jiaxiang Huang:
Global Biological Network Alignment by Using Efficient Memetic Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1117-1129 (2016) - [j75]Zhenkun Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao:
Adaptive Replacement Strategies for MOEA/D. IEEE Trans. Cybern. 46(2): 474-486 (2016) - [j74]Xiaoliang Ma, Fang Liu, Yutao Qi, Xiaodong Wang, Lingling Li, Licheng Jiao, Minglei Yin, Maoguo Gong:
A Multiobjective Evolutionary Algorithm Based on Decision Variable Analyses for Multiobjective Optimization Problems With Large-Scale Variables. IEEE Trans. Evol. Comput. 20(2): 275-298 (2016) - [j73]Luping Wang, Qingfu Zhang, Aimin Zhou, Maoguo Gong, Licheng Jiao:
Constrained Subproblems in a Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Evol. Comput. 20(3): 475-480 (2016) - [j72]Maoguo Gong, Hao Li, Xiang Zhang, Qiunan Zhao, Bin Wang:
Nonparametric Statistical Active Contour Based on Inclusion Degree of Fuzzy Sets. IEEE Trans. Fuzzy Syst. 24(5): 1176-1192 (2016) - [j71]Maoguo Gong, Mingyang Zhang, Yuan Yuan:
Unsupervised Band Selection Based on Evolutionary Multiobjective Optimization for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(1): 544-557 (2016) - [j70]Qiguang Miao, Tiange Liu, Jianfeng Song, Maoguo Gong, Yun Yang:
Guided Superpixel Method for Topographic Map Processing. IEEE Trans. Geosci. Remote. Sens. 54(11): 6265-6279 (2016) - [j69]Maoguo Gong, Puzhao Zhang, Linzhi Su, Jia Liu:
Coupled Dictionary Learning for Change Detection From Multisource Data. IEEE Trans. Geosci. Remote. Sens. 54(12): 7077-7091 (2016) - [j68]Maoguo Gong, Jiaojiao Zhao, Jia Liu, Qiguang Miao, Licheng Jiao:
Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 27(1): 125-138 (2016) - [j67]Qiguang Miao, Ying Cao, Ge Xia, Maoguo Gong, Jiachen Liu, Jianfeng Song:
RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2216-2228 (2016) - [c60]Hao Li, Maoguo Gong, Deyu Meng, Qiguang Miao:
Multi-Objective Self-Paced Learning. AAAI 2016: 1802-1808 - [c59]Xiaolong Zheng, Yu Lei, Maoguo Gong, Zedong Tang:
Multifactorial Brain Storm Optimization Algorithm. BIC-TA (2) 2016: 47-53 - [c58]