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Books and Theses
- 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
Journal Articles
- 2024
- [j384]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) - [j383]Han Zhang, Maoguo Gong, Yannian Gu, Feiping Nie, Xuelong Li:
Side-constrained graph fusion for semi-supervised multi-view clustering. Neurocomputing 570: 127102 (2024) - [j382]Junyu Gao, Hao Yang, Maoguo Gong, Xuelong Li:
Audio-visual representation learning for anomaly events detection in crowds. Neurocomputing 582: 127489 (2024) - [j381]Ke Pan, Yew-Soon Ong, Maoguo Gong, Hui Li, A. Kai Qin, Yuan Gao:
Differential privacy in deep learning: A literature survey. Neurocomputing 589: 127663 (2024) - [j380]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) - [j379]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) - [j378]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) - [j377]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) - [j376]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) - [j375]Jianrui Chen, Luheng Yang, Zhihui Wang, Maoguo Gong:
Higher-order GNN with Local Inflation for entity alignment. Knowl. Based Syst. 293: 111634 (2024) - [j374]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) - [j373]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) - [j372]Zhihui Wang, Jianrui Chen, Maoguo Gong, Zhongshi Shao:
Higher-order neurodynamical equation for simplex prediction. Neural Networks 173: 106185 (2024) - [j371]Shanfeng Wang, Hao Tao, Jianzhao Li, Xinyuan Ji, Yuan Gao, Maoguo Gong:
Towards fair and personalized federated recommendation. Pattern Recognit. 149: 110234 (2024) - [j370]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) - [j369]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) - [j368]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) - [j367]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) - [j366]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) - [j365]Yuan Gao, Yuanqiao Zhang, Maoguo Gong, Qing Cai, Yu Xie, Alex Kai Qin:
Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework. IEEE Trans. Cybern. 54(9): 5283-5296 (2024) - [j364]Yue Wu, Hangqi Ding, Maoguo Gong, A. Kai 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) - [j363]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) - [j362]Yiting Liu, Hao Li, Maoguo Gong, Alex Kai Qin:
Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery. IEEE Trans. Evol. Comput. 28(2): 374-387 (2024) - [j361]Kuangda Lyu, Hao Li, Maoguo Gong, Lining Xing, Alex Kai Qin:
Surrogate-Assisted Evolutionary Multiobjective Neural Architecture Search Based on Transfer Stacking and Knowledge Distillation. IEEE Trans. Evol. Comput. 28(3): 608-622 (2024) - [j360]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) - [j359]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) - [j358]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) - [j357]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) - [j356]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) - [j355]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) - [j354]Hao Li, Dezhong Li, Maoguo Gong, Jianzhao Li, A. Kai 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) - [j353]Hao Li, Tianshi Luo, Liwen Liu, Maoguo Gong, Wenyuan Qiao, Fei Xie, A. Kai Qin:
Selective Transfer Based Evolutionary Multitasking Optimization for Change Detection. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2197-2212 (2024) - [j352]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) - [j351]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) - [j350]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) - [j349]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) - [j348]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) - [j347]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) - [j346]Hao Li, Mingyang Zhang, Ziqi Di, Maoguo Gong, Tianqi Gao, A. Kai Qin:
A Hybrid Multitask Learning Network for Hyperspectral Image Classification With Few Labels. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j345]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) - [j344]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) - [j343]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) - [j342]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) - [j341]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) - [j340]Yue Zhao, Maoguo Gong, A. Kai 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) - [j339]Hanhong Zheng, Dongyang Li, Mingyang Zhang, Maoguo Gong, A. Kai Qin, Tongfei Liu, Fenlong Jiang:
Spectral Knowledge Transfer for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j338]Maoguo Gong, Yuanqiao Zhang, Yuan Gao, A. Kai 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) - [j337]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) - [j336]Yue Wu, Jiaming Liu, Maoguo Gong, Peiran Gong, Xiaolong Fan, A. Kai 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) - [j335]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) - [j334]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) - [j333]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) - [j332]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) - 2023
- [j331]Wencheng Han, Hao Li, Maoguo Gong:
Multi-regularization sparse reconstruction based on multifactorial multiobjective optimization. Appl. Soft Comput. 136: 110122 (2023) - [j330]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) - [j329]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) - [j328]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) - [j327]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) - [j326]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) - [j325]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) - [j324]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) - [j323]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) - [j322]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) - [j321]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) - [j320]Hui Zhou, Maoguo Gong, Shanfeng Wang, Yuan Gao, Zhongying Zhao:
SMGCL: Semi-supervised Multi-view Graph Contrastive Learning. Knowl. Based Syst. 260: 110120 (2023) - [j319]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) - [j318]Ke Pan, Maoguo Gong, Yuan Gao:
Privacy-enhanced generative adversarial network with adaptive noise allocation. Knowl. Based Syst. 272: 110576 (2023) - [j317]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) - [j316]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) - [j315]Qianlong Dang, Weifeng Gao, Maoguo Gong:
Dual transfer learning with generative filtering model for multiobjective multitasking optimization. Memetic Comput. 15(1): 3-29 (2023) - [j314]Maoguo Gong, Yuan Gao, Yue Wu, Yuanqiao Zhang, Alex Kai Qin, Yew-Soon Ong:
Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13328-13343 (2023) - [j313]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) - [j312]Xiaolong Fan, Maoguo Gong, Yue Wu:
Markov clustering regularized multi-hop graph neural network. Pattern Recognit. 139: 109518 (2023) - [j311]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) - [j310]Yue Wu, Maoguo Gong, Qiguang Miao, A. Kai Qin:
Computational Intelligence in Remote Sensing. Remote. Sens. 15(22): 5325 (2023) - [j309]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) - [j308]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) - [j307]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) - [j306]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) - [j305]Dayong Tian, Chen Gong, Maoguo Gong, Yiwen Wei, Xiaoxuan Feng:
Modeling Cardinality in Image Hashing. IEEE Trans. Cybern. 53(1): 114-123 (2023) - [j304]Mulin Chen, Maoguo Gong, Xuelong Li:
Feature Weighted Non-Negative Matrix Factorization. IEEE Trans. Cybern. 53(2): 1093-1105 (2023) - [j303]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) - [j302]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) - [j301]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multiparty Dual Learning. IEEE Trans. Cybern. 53(5): 2955-2968 (2023) - [j300]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) - [j299]Yu Xie, Yanfeng Liang, Maoguo Gong, A. Kai Qin, Yew-Soon Ong, Tiantian He:
Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. 53(10): 6222-6235 (2023) - [j298]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) - [j297]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) - [j296]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) - [j295]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) - [j294]Maoguo Gong, Yue Zhao, Hao Li, A. Kai 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) - [j293]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) - [j292]Maoguo Gong, Wenyuan Qiao, Hao Li, A. Kai 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) - [j291]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) - [j290]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) - [j289]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) - [j288]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) - [j287]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) - [j286]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) - [j285]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) - [j284]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) - [j283]Xiaolong Fan, Maoguo Gong, Yue Wu, A. Kai Qin, Yu Xie:
Propagation Enhanced Neural Message Passing for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 1952-1964 (2023) - [j282]Yu Xie, Zhiguo Qin, Maoguo Gong, Bin Yu, Jiye Liang:
Random Deep Graph Matching. IEEE Trans. Knowl. Data Eng. 35(10): 10411-10422 (2023) - [j281]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) - [j280]Bin Zhao, Maoguo Gong, Xuelong Li:
AudioVisual Video Summarization. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5181-5188 (2023) - [j279]Maoguo Gong, Hui Zhou, A. Kai 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) - [j278]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) - [j277]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) - 2022
- [j276]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) - [j275]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) - [j274]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) - [j273]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) - [j272]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) - [j271]Weifeng Gao, Qianlong Dang, Maoguo Gong:
An adaptive framework to select the coordinate systems for evolutionary algorithms. Appl. Soft Comput. 129: 109585 (2022) - [j270]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) - [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. Kai 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. Kai 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. Kai 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. Kai 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, Alex Kai 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, Alex Kai 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, Alex Kai 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. Kai 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) - 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. Kai 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. Kai 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. Kai 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, Alex Kai 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. Kai 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) - 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, Alex Kai 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. Kai 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. Kai 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. Kai 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. Kai 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) - 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. Kai 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. Kai 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) - 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) - 2017
- [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) - 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. Kai 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) - 2015
- [j66]Jia Liu, Maoguo Gong, Qiguang Miao, Linzhi Su, Hao Li:
Change detection in synthetic aperture radar images based on unsupervised artificial immune systems. Appl. Soft Comput. 34: 151-163 (2015) - [j65]Yue Wu, Wenping Ma, Maoguo Gong, Hao Li, Licheng Jiao:
Novel fuzzy active contour model with kernel metric for image segmentation. Appl. Soft Comput. 34: 301-311 (2015) - [j64]Qing Cai, Maoguo Gong, Lijia Ma, Licheng Jiao:
A Novel Clonal Selection Algorithm for Community Detection in Complex Networks. Comput. Intell. 31(3): 442-464 (2015) - [j63]Yi Zuo, Maoguo Gong, Jiulin Zeng, Lijia Ma, Licheng Jiao:
Personalized Recommendation Based on Evolutionary Multi-Objective Optimization [Research Frontier]. IEEE Comput. Intell. Mag. 10(1): 52-62 (2015) - [j62]Yu Lei, Maoguo Gong, Licheng Jiao, Yi Zuo:
A memetic algorithm based on hyper-heuristics for examination timetabling problems. Int. J. Intell. Comput. Cybern. 8(2): 139-151 (2015) - [j61]Maoguo Gong, Dayong Tian, Linzhi Su, Licheng Jiao:
An efficient bi-convex fuzzy variational image segmentation method. Inf. Sci. 293: 351-369 (2015) - [j60]Qing Cai, Maoguo Gong, Lijia Ma, Shasha Ruan, Fuyan Yuan, Licheng Jiao:
Greedy discrete particle swarm optimization for large-scale social network clustering. Inf. Sci. 316: 503-516 (2015) - [j59]Yi Zuo, Maoguo Gong, Jiulin Zeng, Licheng Jiao:
混合多目标算法用于柔性作业车间调度问题 (Hybrid Multi-objective Algorithm for Solving Flexible Job Shop Scheduling Problem). 计算机科学 42(9): 220-225 (2015) - [j58]Lijia Ma, Maoguo Gong, Haifeng Du, Bo Shen, Licheng Jiao:
A memetic algorithm for computing and transforming structural balance in signed networks. Knowl. Based Syst. 85: 196-209 (2015) - [j57]Yue Wu, Wenping Ma, Maoguo Gong, Linzhi Su, Licheng Jiao:
A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration. IEEE Geosci. Remote. Sens. Lett. 12(1): 43-47 (2015) - [j56]Hao Li, Maoguo Gong, Jia Liu:
A Local Statistical Fuzzy Active Contour Model for Change Detection. IEEE Geosci. Remote. Sens. Lett. 12(3): 582-586 (2015) - [j55]Chi Wang, Maoguo Gong, Mingyang Zhang, Yongqiang Chan:
Unsupervised Hyperspectral Image Band Selection via Column Subset Selection. IEEE Geosci. Remote. Sens. Lett. 12(7): 1411-1415 (2015) - [j54]Hao Li, Jingjing Ma, Maoguo Gong, Qiongzhi Jiang, Licheng Jiao:
Change detection in synthetic aperture radar images based on evolutionary multiobjective optimization with ensemble learning. Memetic Comput. 7(4): 275-289 (2015) - [j53]Qing Cai, Maoguo Gong, Shasha Ruan, Qiguang Miao, Haifeng Du:
Network Structural Balance Based on Evolutionary Multiobjective Optimization: A Two-Step Approach. IEEE Trans. Evol. Comput. 19(6): 903-916 (2015) - [j52]Weisheng Chen, Shuzhi Sam Ge, Jian Wu, Maoguo Gong:
Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1842-1854 (2015) - [j51]Maoguo Gong, Jia Liu, Hao Li, Qing Cai, Linzhi Su:
A Multiobjective Sparse Feature Learning Model for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3263-3277 (2015) - 2014
- [j50]Dongdong Yang, Lei Wang, Xinhong Hei, Maoguo Gong:
An efficient automatic SAR image segmentation framework in AIS using kernel clustering index and histogram statistics. Appl. Soft Comput. 16: 63-79 (2014) - [j49]Lijia Ma, Maoguo Gong, Jie Liu, Qing Cai, Licheng Jiao:
Multi-level learning based memetic algorithm for community detection. Appl. Soft Comput. 19: 121-133 (2014) - [j48]Dongdong Yang, Licheng Jiao, Ruican Niu, Maoguo Gong:
Investigation of Combinational Clustering Indices in Artificial Immune Multi-objective Clustering. Comput. Intell. 30(1): 115-144 (2014) - [j47]Jianshe Wu, Zhiyan Chang, Lin Yuan, Yunting Hou, Maoguo Gong:
A Memetic Algorithm for Resource Allocation Problem Based on Node-Weighted Graphs [Application Notes]. IEEE Comput. Intell. Mag. 9(2): 58-69 (2014) - [j46]Yu Lei, Maoguo Gong, Jun Zhang, Wei Li, Licheng Jiao:
Resource allocation model and double-sphere crowding distance for evolutionary multi-objective optimization. Eur. J. Oper. Res. 234(1): 197-208 (2014) - [j45]Xiaoliang Ma, Fang Liu, Yutao Qi, Maoguo Gong, Minglei Yin, Lingling Li, Licheng Jiao, Jianshe Wu:
MOEA/D with opposition-based learning for multiobjective optimization problem. Neurocomputing 146: 48-64 (2014) - [j44]Meng Jia, Maoguo Gong, Erlei Zhang, Yu Li, Licheng Jiao:
Hyperspectral Image Classification Based on Nonlocal Means With a Novel Class-Relativity Measurement. IEEE Geosci. Remote. Sens. Lett. 11(7): 1300-1304 (2014) - [j43]Wenping Ma, Licheng Jiao, Maoguo Gong, Congling Li:
Image change detection based on an improved rough fuzzy c-means clustering algorithm. Int. J. Mach. Learn. Cybern. 5(3): 369-377 (2014) - [j42]Jingjing Ma, Dayong Tian, Maoguo Gong, Licheng Jiao:
Fuzzy clustering with non-local information for image segmentation. Int. J. Mach. Learn. Cybern. 5(6): 845-859 (2014) - [j41]Qing Cai, Maoguo Gong, Bo Shen, Lijia Ma, Licheng Jiao:
Discrete particle swarm optimization for identifying community structures in signed social networks. Neural Networks 58: 4-13 (2014) - [j40]Maoguo Gong, Qing Cai, Xiaowei Chen, Lijia Ma:
Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition. IEEE Trans. Evol. Comput. 18(1): 82-97 (2014) - [j39]Lin Li, Xin Yao, Rustam Stolkin, Maoguo Gong, Shan He:
An Evolutionary Multiobjective Approach to Sparse Reconstruction. IEEE Trans. Evol. Comput. 18(6): 827-845 (2014) - [j38]Maoguo Gong, Linzhi Su, Meng Jia, Weisheng Chen:
Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images. IEEE Trans. Fuzzy Syst. 22(1): 98-109 (2014) - [j37]Maoguo Gong, Shengmeng Zhao, Licheng Jiao, Dayong Tian, Shuang Wang:
A Novel Coarse-to-Fine Scheme for Automatic Image Registration Based on SIFT and Mutual Information. IEEE Trans. Geosci. Remote. Sens. 52(7): 4328-4338 (2014) - 2013
- [j36]Maoguo Gong, Xiaowei Chen, Lijia Ma, Qingfu Zhang, Licheng Jiao:
Identification of multi-resolution network structures with multi-objective immune algorithm. Appl. Soft Comput. 13(4): 1705-1717 (2013) - [j35]Huming Zhu, Yu Cao, Zhiqiang Zhou, Maoguo Gong, Licheng Jiao:
Parallel unsupervised Synthetic Aperture Radar image change detection on a graphics processing unit. Int. J. High Perform. Comput. Appl. 27(2): 109-122 (2013) - [j34]Zhiguo Zhou, Fang Liu, Licheng Jiao, Zhi-Jie Zhou, Jian-Bo Yang, Maoguo Gong, Xiao-Peng Zhang:
A bi-level belief rule based decision support system for diagnosis of lymph node metastasis in gastric cancer. Knowl. Based Syst. 54: 128-136 (2013) - [j33]Shuang Wang, Kun Liu, Jingjing Pei, Maoguo Gong, Yachao Liu:
Unsupervised Classification of Fully Polarimetric SAR Images Based on Scattering Power Entropy and Copolarized Ratio. IEEE Geosci. Remote. Sens. Lett. 10(3): 622-626 (2013) - [j32]Jie Feng, Licheng Jiao, Xiangrong Zhang, Maoguo Gong, Tao Sun:
Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation. Signal Process. 93(2): 487-499 (2013) - [j31]Maoguo Gong, Yan Liang, Jiao Shi, Wenping Ma, Jingjing Ma:
Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation. IEEE Trans. Image Process. 22(2): 573-584 (2013) - 2012
- [j30]Yutao Qi, Fang Liu, Meiyun Liu, Maoguo Gong, Licheng Jiao:
Multi-objective immune algorithm with Baldwinian learning. Appl. Soft Comput. 12(8): 2654-2674 (2012) - [j29]Maoguo Gong, Ling-Jun Zhang, Jingjing Ma, Licheng Jiao:
Community Detection in Dynamic Social Networks Based on Multiobjective Immune Algorithm. J. Comput. Sci. Technol. 27(3): 455-467 (2012) - [j28]Maoguo Gong, Jian Zhang, Jingjing Ma, Licheng Jiao:
An efficient negative selection algorithm with further training for anomaly detection. Knowl. Based Syst. 30: 185-191 (2012) - [j27]Maoguo Gong, Yu Cao, Qiaodi Wu:
A Neighborhood-Based Ratio Approach for Change Detection in SAR Images. IEEE Geosci. Remote. Sens. Lett. 9(2): 307-311 (2012) - [j26]Jingjing Ma, Maoguo Gong, Zhiqiang Zhou:
Wavelet Fusion on Ratio Images for Change Detection in SAR Images. IEEE Geosci. Remote. Sens. Lett. 9(6): 1122-1126 (2012) - [j25]Fanhua Shang, Licheng Jiao, Jiarong Shi, Fei Wang, Maoguo Gong:
Fast affinity propagation clustering: A multilevel approach. Pattern Recognit. 45(1): 474-486 (2012) - [j24]Maoguo Gong, Zhiqiang Zhou, Jingjing Ma:
Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering. IEEE Trans. Image Process. 21(4): 2141-2151 (2012) - 2011
- [j23]Fanhua Shang, Licheng Jiao, Jiarong Shi, Maoguo Gong, Ronghua Shang:
Fast density-weighted low-rank approximation spectral clustering. Data Min. Knowl. Discov. 23(2): 345-378 (2011) - [j22]Jingjing Ma, Maoguo Gong, Licheng Jiao:
Evolutionary clustering algorithm based on mixed measures. Int. J. Intell. Comput. Cybern. 4(4): 511-526 (2011) - [j21]Dongdong Yang, Licheng Jiao, Maoguo Gong, Fang Liu:
Artificial immune multi-objective SAR image segmentation with fused complementary features. Inf. Sci. 181(13): 2797-2812 (2011) - [j20]Cheolkon Jung, Licheng Jiao, Bing Liu, Maoguo Gong:
Position-Patch Based Face Hallucination Using Convex Optimization. IEEE Signal Process. Lett. 18(6): 367-370 (2011) - [j19]Hongxiao Feng, Biao Hou, Maoguo Gong:
SAR Image Despeckling Based on Local Homogeneous-Region Segmentation by Using Pixel-Relativity Measurement. IEEE Trans. Geosci. Remote. Sens. 49(7): 2724-2737 (2011) - 2010
- [j18]Maoguo Gong, Licheng Jiao, Fang Liu, Jie Yang:
Memetic computation based on regulation between neural and immune systems: the framework and a case study. Sci. China Inf. Sci. 53(8): 1519-1527 (2010) - [j17]Dongdong Yang, Licheng Jiao, Maoguo Gong, Jie Feng:
Adaptive ranks clone and k-nearest neighbor list-based immune multi-objective optimization. Comput. Intell. 26(4): 359-385 (2010) - [j16]Licheng Jiao, Maoguo Gong, Shuang Wang, Biao Hou, Zhi Zheng, Qiaodi Wu:
Natural and Remote Sensing Image Segmentation Using Memetic Computing. IEEE Comput. Intell. Mag. 5(2): 78-91 (2010) - [j15]Maoguo Gong, Licheng Jiao, Jie Yang, Fang Liu:
Lamarckian Learning in Clonal Selection Algorithm for Numerical Optimization. Int. J. Artif. Intell. Tools 19(1): 19-37 (2010) - [j14]Feng Zhao, Licheng Jiao, Hanqiang Liu, Xinbo Gao, Maoguo Gong:
Spectral clustering with eigenvector selection based on entropy ranking. Neurocomputing 73(10-12): 1704-1717 (2010) - [j13]Maoguo Gong, Licheng Jiao, Lining Zhang:
Baldwinian learning in clonal selection algorithm for optimization. Inf. Sci. 180(8): 1218-1236 (2010) - [j12]Maoguo Gong, Licheng Jiao, Fang Liu, Wenping Ma:
Immune algorithm with orthogonal design based initialization, cloning, and selection for global optimization. Knowl. Inf. Syst. 25(3): 523-549 (2010) - [j11]Maoguo Gong, Chao Liu, Licheng Jiao, Gang Cheng:
Hybrid immune algorithm with Lamarckian local search for multi-objective optimization. Memetic Comput. 2(1): 47-67 (2010) - 2009
- [j10]Maoguo Gong, Licheng Jiao, Wenping Ma, Jingjing Ma:
Intelligent multi-user detection using an artificial immune system. Sci. China Ser. F Inf. Sci. 52(12): 2342-2353 (2009) - [j9]Dongdong Yang, Licheng Jiao, Maoguo Gong:
Adaptive Multi-Objective Optimization Based on Nondominated Solutions. Comput. Intell. 25(2): 84-108 (2009) - [j8]Maoguo Gong, Licheng Jiao, Dongdong Yang:
Corrections on the Box Plots of the Coverage Metric in "Multiobjective Immune Algorithm with Nondominated Neighbor-based Selection". Evol. Comput. 17(1): 131-134 (2009) - 2008
- [j7]Maoguo Gong, Licheng Jiao, Wenping Ma, Haifeng Du:
Multiobjective optimization using an immunodominance and clonal selection inspired algorithm. Sci. China Ser. F Inf. Sci. 51(8): 1064-1082 (2008) - [j6]Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo:
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection. Evol. Comput. 16(2): 225-255 (2008) - [j5]Maoguo Gong, Licheng Jiao, Xiangrong Zhang:
A population-based artificial immune system for numerical optimization. Neurocomputing 72(1-3): 149-161 (2008) - [j4]Xiangrong Zhang, Licheng Jiao, Fang Liu, Liefeng Bo, Maoguo Gong:
Spectral Clustering Ensemble Applied to SAR Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 46(7): 2126-2136 (2008) - [j3]Licheng Jiao, Yangyang Li, Maoguo Gong, Xiangrong Zhang:
Quantum-Inspired Immune Clonal Algorithm for Global Optimization. IEEE Trans. Syst. Man Cybern. Part B 38(5): 1234-1253 (2008) - 2006
- [j2]Maoguo Gong, Haifeng Du, Licheng Jiao:
Optimal approximation of linear systems by artificial immune response. Sci. China Ser. F Inf. Sci. 49(1): 63-79 (2006) - 2005
- [j1]Haifeng Du, Maoguo Gong, Ruochen Liu, Licheng Jiao:
Adaptive chaos clonal evolutionary programming algorithm. Sci. China Ser. F Inf. Sci. 48(5): 579-595 (2005)
Conference and Workshop Papers
- 2024
- [c112]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 - [c111]Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu:
Entropy Induced Pruning Framework for Convolutional Neural Networks. AAAI 2024: 3918-3926 - [c110]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 - [c109]Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu:
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning. AAAI 2024: 11919-11926 - [c108]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 - [c107]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 - [c106]Shanfeng Wang, Zaitian Liu, Jianzhao Li, Maoguo Gong, Rui Yang:
Evolutionary Multitasking Collaborative Neural Architecture Search for Scene Classification. CEC 2024: 1-8 - [c105]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 - [c104]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 - 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 - 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 - 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 - 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 - 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. Kai 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 - 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
- [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 - 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]Feng Chen, Jiao Shi, Maoguo Gong:
Differencing Neural Network for Change Detection in Synthetic Aperture Radar Images. BIC-TA (1) 2016: 431-437 - [c57]Na Li, Jiao Shi, Maoguo Gong:
Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Restricted Boltzmann Machine. BIC-TA (1) 2016: 438-444 - [c56]Zhao Wang, Maoguo Gong, Tian Xie:
Decision Variable Analysis Based on Distributed Computing. BIC-TA (1) 2016: 447-455 - [c55]Tao Wu, Yu Lei, Maoguo Gong:
Change Detection in Remote Sensing Images Based on Clonal Selection Algorithm. BIC-TA (2) 2016: 467-472 - [c54]Jianan Yan, Shasha Ruan, Qing Cai, Jiao Shi, Zhao Wang, Maoguo Gong:
A novel bi-objective model with particle swarm optimizer for structural balance analytics in social networks. CEC 2016: 728-735 - [c53]Tian Xie, Maoguo Gong, Zedong Tang, Yu Lei, Jia Liu, Zhao Wang:
Enhancing evolutionary multifactorial optimization based on particle swarm optimization. CEC 2016: 1658-1665 - [c52]Zhao Wang, Maoguo Gong, Yu Lei, Shanfeng Wang, Linzhi Su:
A memetic algorithm based on MOEA/D for near space communication system deployment optimization on tide user model. CEC 2016: 3614-3621 - [c51]Huming Zhu, Yuqi Guo, Mingwei Niu, Linyan Qiu, Licheng Jiao, Maoguo Gong:
SAR image change detection based on Spark-FLICM algorithm. IGARSS 2016: 3354-3357 - [c50]Linzhi Su, Jiao Shi, Puzhao Zhang, Zhao Wang, Maoguo Gong:
Detecting multiple changes from multi-temporal images by using stacked denosing autoencoder based change vector analysis. IJCNN 2016: 1269-1276 - 2015
- [c49]Qiunan Zhao, Maoguo Gong, Hao Li, Tao Zhan, Qian Wang:
Three-Class Change Detection in Synthetic Aperture Radar Images Based on Deep Belief Network. BIC-TA 2015: 696-705 - [c48]Shanfeng Wang, Maoguo Gong, Bo Shen, Zhao Wang, Qing Cai, Licheng Jiao:
Deep community detection based on memetic algorithm. CEC 2015: 648-655 - [c47]Qing Cai, Maoguo Gong, Lijia Ma, Shanfeng Wang, Licheng Jiao, Haifeng Du:
A particle swarm optimization approach for handling network social balance problem. CEC 2015: 3186-3191 - [c46]Yue Wu, Maoguo Gong, Ji Jia, Wenping Ma:
Remote sensing image registration with spatial restraint based on moment invariants and fast generalized fuzzy clustering. TAAI 2015: 97-104 - 2014
- [c45]Shanfeng Wang, Maoguo Gong, Lijia Ma, Qing Cai, Licheng Jiao:
Decomposition based multiobjective evolutionary algorithm for collaborative filtering recommender systems. IEEE Congress on Evolutionary Computation 2014: 672-679 - [c44]Zhenkun Wang, Qingfu Zhang, Maoguo Gong, Aimin Zhou:
A replacement strategy for balancing convergence and diversity in MOEA/D. IEEE Congress on Evolutionary Computation 2014: 2132-2139 - [c43]Zhao Wang, Maoguo Gong, Qing Cai, Lijia Ma, Licheng Jiao:
Deployment optimization of near space airships based on MOEA/D with local search. IEEE Congress on Evolutionary Computation 2014: 2345-2352 - [c42]Qiao Wang, Hao Li, Maoguo Gong, Linzhi Su, Licheng Jiao:
A multiobjective optimization method based on MOEA/D and fuzzy clustering for change detection in SAR images. IEEE Congress on Evolutionary Computation 2014: 3024-3029 - [c41]Chi Wang, Jia Liu, Maoguo Gong, Licheng Jiao, Jing Liu:
Fuzzy C-means clustering with weighted energy function in MRF for image segmentation. FUZZ-IEEE 2014: 210-215 - [c40]Jiaojiao Zhao, Maoguo Gong, Jia Liu, Licheng Jiao:
Deep learning to classify difference image for image change detection. IJCNN 2014: 411-417 - 2012
- [c39]Maoguo Gong, Qing Cai, Yangyang Li, Jingjing Ma:
An improved memetic algorithm for community detection in complex networks. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c38]Huming Zhu, Yu Cao, Zhiqiang Zhou, Maoguo Gong:
Parallel Multi-Temporal Remote Sensing Image Change Detection on GPU. IPDPS Workshops 2012: 1898-1904 - 2011
- [c37]Jingjing Ma, Yanhui Wang, Maoguo Gong, Licheng Jiao, Qingfu Zhang:
Spatio-temporal data evolutionary clustering based on MOEA/D. GECCO (Companion) 2011: 85-86 - [c36]Maoguo Gong, Fang Liu, Wei Zhang, Licheng Jiao, Qingfu Zhang:
Interactive MOEA/D for multi-objective decision making. GECCO 2011: 721-728 - [c35]Maoguo Gong, Tian Hou, Bao Fu, Licheng Jiao:
A non-dominated neighbor immune algorithm for community detection in networks. GECCO 2011: 1627-1634 - [c34]Wenping Ma, Feifei Ti, Maoguo Gong:
Hybrid Algorithm based on Differential Immune Clone with Orthogonal design method. Memetic Computing 2011: 1-8 - 2010
- [c33]Fang Liu, Maoguo Gong, Jingjing Ma, Licheng Jiao, Wei Zhang:
Optimizing detector distribution in V-detector negative selection using a constrained multiobjective immune algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c32]Zhi Zheng, Maoguo Gong, Jingjing Ma, Licheng Jiao, Qiaodi Wu:
Unsupervised evolutionary clustering algorithm for mixed type data. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c31]Cheolkon Jung, Licheng Jiao, Maoguo Gong:
New Optical Flow Approach for Motion Segmentation Based on Gamma Distribution. MMM 2010: 444-453 - 2009
- [c30]Dongdong Yang, Licheng Jiao, Maoguo Gong, Hongxiao Feng:
Hybrid multiobjective estimation of distribution algorithm by local linear embedding and an immune inspired algorithm. IEEE Congress on Evolutionary Computation 2009: 463-470 - [c29]Maoguo Gong, Licheng Jiao, Wenping Ma, Ronghua Shang:
Hybrid Immune Algorithm with intelligent recombination. IEEE Congress on Evolutionary Computation 2009: 1807-1814 - [c28]Maoguo Gong, Licheng Jiao, Wenping Ma:
Orthogonal immune algorithm with diversity-based selection for numerical optimization. GEC Summit 2009: 141-148 - [c27]Maoguo Gong, Licheng Jiao, Wenping Ma:
Large-scale optimization using immune algorithm. GEC Summit 2009: 149-156 - [c26]Yangyang Li, Hongzhu Shi, Maoguo Gong, Ronghua Shang:
Quantum-inspired evolutionary clustering algorithm based on manifold distance. GEC Summit 2009: 871-874 - 2008
- [c25]Lining Zhang, Maoguo Gong, Licheng Jiao, Jie Yang:
Improved Clonal Selection Algorithm based on Baldwinian learning. IEEE Congress on Evolutionary Computation 2008: 519-526 - [c24]Lining Zhang, Maoguo Gong, Licheng Jiao, Jie Yang:
Optimal approximation of linear systems by an improved Clonal Selection Algorithm. IEEE Congress on Evolutionary Computation 2008: 527-534 - [c23]Jie Yang, Maoguo Gong, Licheng Jiao, Lining Zhang:
Improved Clonal Selection Algorithm based on Lamarckian local search technique. IEEE Congress on Evolutionary Computation 2008: 535-541 - 2007
- [c22]Maoguo Gong, Lining Zhang, Licheng Jiao, Shuiping Gou:
Solving multiobjective clustering using an immune-inspired algorithm. IEEE Congress on Evolutionary Computation 2007: 15-22 - [c21]Maoguo Gong, Licheng Jiao, Wenping Ma, Shuiping Gou:
Solving multidimensional knapsack problems by an immune-inspired algorithm. IEEE Congress on Evolutionary Computation 2007: 3385-3391 - [c20]Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo:
Density-Sensitive Evolutionary Clustering. PAKDD 2007: 507-514 - 2006
- [c19]Lin Hao, Maoguo Gong, Yifei Sun, Jin Pan:
Niching Clonal Selection Algorithm for Multimodal Function Optimization. ICNC (1) 2006: 820-827 - [c18]Yifei Sun, Maoguo Gong, Lin Hao, Licheng Jiao:
Clonal Selection Algorithm with Search Space Expansion Scheme for Global Function Optimization. ICNC (1) 2006: 838-847 - [c17]Wenping Ma, Licheng Jiao, Maoguo Gong, Ronghua Shang:
Immune Clonal Selection Evolutionary Strategy for Constrained Optimization. PRICAI 2006: 661-670 - [c16]Maoguo Gong, Licheng Jiao, Lining Zhang:
Solving Traveling Salesman Problems by Artificial Immune Response. SEAL 2006: 64-71 - 2005
- [c15]Wenping Ma, Licheng Jiao, Maoguo Gong, Fang Liu:
An Novel Artificial Immune Systems Multi-objective Optimization Algorithm for 0/1 Knapsack Problems. CIS (1) 2005: 793-798 - [c14]Ronghua Shang, Licheng Jiao, Maoguo Gong, Bin Lu:
Clonal Selection Algorithm for Dynamic Multiobjective Optimization. CIS (1) 2005: 846-851 - [c13]Hang Yu, Maoguo Gong, Licheng Jiao, Bin Zhang:
Clonal Selection Algorithm with Immunologic Regulation for Function Optimization. CIS (1) 2005: 858-863 - [c12]Licheng Jiao, Maoguo Gong, Ronghua Shang, Haifeng Du, Bin Lu:
Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization. EMO 2005: 474-489 - [c11]Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Shang, Bin Lu:
Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics. GECCO 2005: 373-374 - [c10]Maoguo Gong, Ling Wang, Licheng Jiao, Haifeng Du:
An artificial immune system algorithm for CDMA multiuser detection over multi-path channels. GECCO 2005: 2105-2111 - [c9]Maoguo Gong, Licheng Jiao, Fang Liu, Haifeng Du:
The Quaternion Model of Artificial Immune Response. ICARIS 2005: 207-219 - [c8]Bin Lu, Licheng Jiao, Haifeng Du, Maoguo Gong:
IFMOA: Immune Forgetting Multiobjective Optimization Algorithm. ICNC (3) 2005: 399-408 - [c7]Wentao Huang, Licheng Jiao, Yuelei Xu, Maoguo Gong:
Stochastic Neuron Model with Dynamic Synapses and Evolution Equation of Its Density Function. ICNC (1) 2005: 449-455 - [c6]Cuiqin Hou, Licheng Jiao, Maoguo Gong, Bin Lu:
Clone Selection Based Multicast Routing Algorithm. ICNC (3) 2005: 768-771 - [c5]Maoguo Gong, Licheng Jiao, Haifeng Du, Bin Lu, Wentao Huang:
IFCPA: Immune Forgetting Clonal Programming Algorithm for Large Parameter Optimization Problems. ICNC (2) 2005: 826-829 - [c4]Wentao Huang, Licheng Jiao, Maoguo Gong, Chuang Guo:
Modeling Cortex Network: A Spatio-temporal Population Approach. ISNN (1) 2005: 369-374 - [c3]Wentao Huang, Licheng Jiao, Tan Shan, Maoguo Gong:
Response Analysis of Neuronal Population with Synaptic Depression. NIPS 2005: 523-530 - 2004
- [c2]Maoguo Gong, Haifeng Du, Licheng Jiao, Ling Wang:
Immune Clonal Selection Algorithm for Multiuser Detection in DS-CDMA Systems. Australian Conference on Artificial Intelligence 2004: 1219-1225 - [c1]Haifeng Du, Licheng Jiao, Maoguo Gong, Ruochen Liu:
Adaptive Dynamic Clone Selection Algorithms. Rough Sets and Current Trends in Computing 2004: 768-773
Editorship
- 2016
- [e3]Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang:
Bio-inspired Computing - Theories and Applications - 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part I. Communications in Computer and Information Science 681, Springer 2016, ISBN 978-981-10-3610-1 [contents] - [e2]Maoguo Gong, Linqiang Pan, Tao Song, Gexiang Zhang:
Bio-inspired Computing - Theories and Applications - 11th International Conference, BIC-TA 2016, Xi'an, China, October 28-30, 2016, Revised Selected Papers, Part II. Communications in Computer and Information Science 682, Springer 2016, ISBN 978-981-10-3613-2 [contents] - 2015
- [e1]Maoguo Gong, Linqiang Pan, Tao Song, Ke Tang, Xingyi Zhang:
Bio-Inspired Computing - Theories and Applications - 10th International Conference, BIC-TA 2015, Hefei, China, September 25-28, 2015, Proceedings. Communications in Computer and Information Science 562, Springer 2015, ISBN 978-3-662-49013-6 [contents]
Informal and Other Publications
- 2024
- [i29]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) - [i28]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) - 2023
- [i27]Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. Kai 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
- [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
- [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. Kai 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. Kai Qin:
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework. CoRR abs/2104.06670 (2021) - [i14]Maoguo Gong, Yuan Gao, Yu Xie, A. Kai 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. Kai Qin:
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning. CoRR abs/2110.15522 (2021) - 2020
- [i6]Wenfeng Liu, Maoguo Gong, Zedong Tang, A. Kai 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) - 2019
- [i3]Jia Liu, Maoguo Gong, Haibo He:
Nucleus Neural Network for Super Robust Learning. CoRR abs/1904.04036 (2019) - 2017
- [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)
Coauthor Index
[j154] [j153] [j146] [j108] [j104] [j101] [j100] [j97] [j91] [j87] [j84] [j83] [j77] [j75] [j74] [j73] [j68] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j54] [j49] [j48] [j46] [j45] [j44] [j43] [j42] [j41] [j37] [j36] [j35] [j34] [j32] [j30] [j29] [j28] [j25] [j23] [j22] [j21] [j20] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c82] [c75] [c51] [c48] [c47] [c45] [c43] [c42] [c41] [c40] [c37] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [c23] [c22] [c21] [c20] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j374] [j368] [j367] [j362] [j361] [j356] [j354] [j353] [j346] [j333] [j331] [j328] [j327] [j313] [j311] [j297] [j294] [j292] [j286] [j281] [j272] [j270] [j266] [j259] [j251] [j245] [j244] [j242] [j241] [j240] [j233] [j223] [j216] [j211] [j199] [j197] [j194] [j172] [j169] [j159] [j152] [j138] [j136] [j134] [j133] [j129] [j126] [j117] [j115] [j109] [j98] [j93] [j88] [j77] [j72] [j66] [j65] [j56] [j54] [j51] [c108] [c107] [c105] [c104] [c100] [c99] [c98] [c97] [c95] [c94] [c92] [c90] [c87] [c86] [c84] [c83] [c71] [c67] [c64] [c60] [c49] [c42] [i23] [i22] [i20] [i19] [i13] [i4]
[j380] [j367] [j364] [j358] [j337] [j336] [j335] [j334] [j332] [j329] [j307] [j306] [j297] [j285] [j284] [j213] [j198] [j166] [j164] [j153] [j147] [j123] [j104] [j91] [j83] [j65] [j57] [j43] [j31] [j12] [j10] [j7] [c112] [c108] [c105] [c104] [c102] [c101] [c100] [c74] [c65] [c46] [c34] [c29] [c28] [c27] [c21] [c17] [c15] [i25] [i23] [i18]
[j380] [j367] [j364] [j358] [j337] [j336] [j335] [j334] [j332] [j329] [j310] [j307] [j306] [j297] [j285] [j284] [j222] [j214] [j213] [j198] [j194] [j175] [j166] [j164] [j136] [j129] [j126] [j123] [j115] [j96] [j78] [j70] [j68] [j67] [j66] [j53] [c112] [c108] [c105] [c104] [c102] [c101] [c100] [c76] [c63] [c60] [i27] [i26] [i25] [i23] [i18]
A. Kai Qin
aka: Alex Kai Qin
aka: Alex Kai Qin
[j381] [j365] [j364] [j362] [j361] [j354] [j353] [j346] [j340] [j339] [j338] [j336] [j314] [j310] [j301] [j299] [j294] [j292] [j283] [j279] [j242] [j241] [j240] [j236] [j233] [j231] [j224] [j222] [j210] [j205] [j191] [j188] [j187] [j184] [j178] [j171] [j161] [j155] [j144] [j139] [j116] [j83] [c85] [i27] [i16] [i15] [i14] [i7] [i6]
[j380] [j367] [j364] [j358] [j357] [j350] [j347] [j338] [j337] [j336] [j335] [j334] [j333] [j332] [j329] [j314] [j313] [j312] [j311] [j310] [j307] [j306] [j297] [j289] [j286] [j285] [j284] [j283] [j281] [j246] [j241] [j236] [j230] [j222] [j221] [j213] [j199] [j198] [j192] [j185] [j182] [j166] [j164] [j153] [j147] [j146] [j131] [j123] [j105] [j104] [j83] [j65] [j57] [c112] [c109] [c108] [c107] [c105] [c104] [c102] [c101] [c100] [c99] [c98] [c97] [c95] [c92] [c90] [c86] [c84] [c80] [c77] [c74] [c65] [c61] [c46] [i27] [i26] [i25] [i24] [i23] [i20] [i19] [i18] [i13] [i7]
[j349] [j347] [j346] [j340] [j339] [j333] [j327] [j319] [j317] [j313] [j311] [j298] [j293] [j291] [j289] [j287] [j286] [j270] [j266] [j248] [j239] [j231] [j230] [j229] [j227] [j226] [j202] [j199] [j182] [j158] [j157] [j131] [j130] [j117] [j103] [j99] [j71] [j55] [c110] [c104] [c97] [c87] [c82] [c73] [c71] [c69] [c67] [i29] [i28] [i20] [i19]
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