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2020 – today
- 2025
- [j80]Yiwen Cao, Yukun Su, Wenjun Wang, Yanxia Liu, Qingyao Wu:
Semantic-Constraint Matching for transformer-based weakly supervised object localization. Pattern Recognit. 158: 110971 (2025) - 2024
- [j79]Yiwen Cao, Yukun Su, Jingliang Deng, Yu Zhang, Qingyao Wu:
Adaptive Locally-Aligned Transformer for low-light video enhancement. Comput. Vis. Image Underst. 240: 103916 (2024) - [j78]Pengshuai Yin, Huanxin Chen, Huichou Huang, Hanjing Su, Qingyao Wu, Qilin Wan:
A region-based convolutional fusion network for typhoon intensity estimation in satellite images. Eng. Appl. Artif. Intell. 134: 108671 (2024) - [j77]Pengshuai Yin, Yupeng Fang, Huanxin Chen, Huichou Huang, Qilin Wan, Qingyao Wu:
Deep contrastive learning based hybrid network for Typhoon intensity classification. Expert Syst. Appl. 252: 124229 (2024) - [j76]Ruirui Liu, Haoxian Liu, Huichou Huang, Bo Song, Qingyao Wu:
Multimodal multiscale dynamic graph convolution networks for stock price prediction. Pattern Recognit. 149: 110211 (2024) - [j75]Jiaju Wu, Zhengchang Wen, Haitian Huang, Hanjing Su, Fei Liu, Huan Wang, Yi Ding, Qingyao Wu:
A reweighting method for speech recognition with imbalanced data of Mandarin and sub-dialects. Serv. Oriented Comput. Appl. 18(2): 145-152 (2024) - [j74]Xiao Li, Ruirui Liu, Huichou Huang, Qingyao Wu:
Contrastive Learning for Target Speaker Extraction With Attention-Based Fusion. IEEE ACM Trans. Audio Speech Lang. Process. 32: 178-188 (2024) - [j73]Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Hanjing Su, Qingyao Wu:
A Unified Transformer Framework for Group-Based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection. IEEE Trans. Multim. 26: 313-325 (2024) - [j72]Lvlong Lai, Jian Chen, Qingyao Wu:
Zero-Shot Single-View Point Cloud Reconstruction via Cross-Category Knowledge Transferring. IEEE Trans. Multim. 26: 1448-1459 (2024) - [j71]Zhiquan Wen, Shuaicheng Niu, Ge Li, Qingyao Wu, Mingkui Tan, Qi Wu:
Test-Time Model Adaptation for Visual Question Answering With Debiased Self-Supervisions. IEEE Trans. Multim. 26: 2137-2147 (2024) - [j70]Lvlong Lai, Jian Chen, Guosheng Lin, Qingyao Wu:
CMNet: Component-Aware Matching Network for Few-Shot Point Cloud Classification. IEEE Trans. Multim. 26: 9241-9251 (2024) - [c63]Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li:
Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation. AAAI 2024: 1698-1706 - [c62]Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu:
Spatial-Semantic Collaborative Cropping for User Generated Content. AAAI 2024: 4988-4997 - [c61]Xiaofeng Yang, Fayao Liu, Yi Xu, Hanjing Su, Qingyao Wu, Guosheng Lin:
Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration. AAAI 2024: 6549-6557 - [c60]Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu:
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency. ECCV (44) 2024: 352-370 - [i30]Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu:
Spatial-Semantic Collaborative Cropping for User Generated Content. CoRR abs/2401.08086 (2024) - [i29]Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu:
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency. CoRR abs/2408.07481 (2024) - [i28]Yanquan Huang, Liu Wei Zhen, Yun Hao, Mengyuan Zhang, Qingyao Wu, Zikun Deng, Xueming Liu, Hong Deng:
Hybrid Classification-Regression Adaptive Loss for Dense Object Detection. CoRR abs/2408.17182 (2024) - 2023
- [j69]Siraj Khan, Muhammad Asim, Salabat Khan, Ahmad Musyafa, Qingyao Wu:
Unsupervised domain adaptation using fuzzy rules and stochastic hierarchical convolutional neural networks. Comput. Electr. Eng. 105: 108547 (2023) - [j68]Siraj Khan, Yuxin Guo, Yuzhong Ye, Chunshan Li, Qingyao Wu:
Mini-batch Dynamic Geometric Embedding for Unsupervised Domain Adaptation. Neural Process. Lett. 55(3): 2063-2080 (2023) - [j67]Yun Hao, Yukun Su, Guosheng Lin, Hanjing Su, Qingyao Wu:
Contrastive Generative Network with Recursive-Loop for 3D point cloud generalized zero-shot classification. Pattern Recognit. 144: 109843 (2023) - [j66]Xiaojing Zhong, Ni Zhang, Hao Hu, Li Li, Junhua Cen, Qingyao Wu:
Densely packed object detection with transformer-based head and EM-merger. Serv. Oriented Comput. Appl. 17(2): 109-117 (2023) - [c59]Ruizhou Sun, Yukun Su, Qingyao Wu:
DENet: Disentangled Embedding Network for Visible Watermark Removal. AAAI 2023: 2411-2419 - [c58]Zhiquan Wen, Yaowei Wang, Mingkui Tan, Qingyao Wu, Qi Wu:
Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering. ACL (Findings) 2023: 6910-6928 - [c57]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (Extended Abstract). ICDE 2023: 3771-3772 - [c56]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract). ICDE 2023: 3829-3830 - [c55]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael Kwok-Po Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation : Extended Abstract. ICDE 2023: 3855-3856 - [c54]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification : Extended abstract. ICDE 2023: 3885-3886 - [c53]Zhuorui Qin, Xiaoqian Wu, Yimin Zheng, Qingyao Wu:
Research on Multi-AGVs dynamic scheduling based on deep reinforcement learning. ICEBE 2023: 257-262 - [i27]Dongjian Huo, Zehong Zhang, Hanjing Su, Guanbin Li, Chaowei Fang, Qingyao Wu:
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning. CoRR abs/2308.10195 (2023) - [i26]Yukun Su, Guosheng Lin, Qingyao Wu:
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds. CoRR abs/2308.13866 (2023) - [i25]Yukun Su, Ruizhou Sun, Xin Shu, Yu Zhang, Qingyao Wu:
Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking. CoRR abs/2308.15795 (2023) - [i24]Yiwen Cao, Yukun Su, Wenjun Wang, Yanxia Liu, Qingyao Wu:
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization. CoRR abs/2309.01331 (2023) - [i23]Huanxin Chen, Pengshuai Yin, Huichou Huang, Qingyao Wu, Ruirui Liu, Xiatian Zhu:
Typhoon Intensity Prediction with Vision Transformer. CoRR abs/2311.16450 (2023) - [i22]Xiaojing Zhong, Yukun Su, Zhonghua Wu, Guosheng Lin, Qingyao Wu:
DI-Net : Decomposed Implicit Garment Transfer Network for Digital Clothed 3D Human. CoRR abs/2311.16818 (2023) - [i21]Xiaojing Zhong, Xinyi Huang, Zhonghua Wu, Guosheng Lin, Qingyao Wu:
SARA: Controllable Makeup Transfer with Spatial Alignment and Region-Adaptive Normalization. CoRR abs/2311.16828 (2023) - [i20]Chaowei Fang, Ziyin Zhou, Junye Chen, Hanjing Su, Qingyao Wu, Guanbin Li:
Variance-insensitive and Target-preserving Mask Refinement for Interactive Image Segmentation. CoRR abs/2312.14387 (2023) - 2022
- [j65]Pengshuai Yin, Hongmin Cai, Qingyao Wu:
DF-Net: Deep fusion network for multi-source vessel segmentation. Inf. Fusion 78: 199-208 (2022) - [j64]Junyu Su, Yukun Su, Yu Zhang, Weiqiang Yang, Huichou Huang, Qingyao Wu:
EpNet: Power lines foreign object detection with Edge Proposal Network and data composition. Knowl. Based Syst. 249: 108857 (2022) - [j63]Lvlong Lai, Jian Chen, Chi Zhang, Zehong Zhang, Guosheng Lin, Qingyao Wu:
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation. Knowl. Based Syst. 253: 109508 (2022) - [j62]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 211-227 (2022) - [j61]Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan:
Visual Grounding Via Accumulated Attention. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1670-1684 (2022) - [j60]Yun Hao, Jiaju Wu, Xiangkang Huang, Zijia Zhang, Fei Liu, Qingyao Wu:
Speaker extraction network with attention mechanism for speech dialogue system. Serv. Oriented Comput. Appl. 16(2): 111-119 (2022) - [j59]Wenjun Wang, Lvlong Lai, Jian Chen, Qingyao Wu:
CAM-based non-local attention network for weakly supervised fire detection. Serv. Oriented Comput. Appl. 16(2): 133-142 (2022) - [j58]Haonan Luo, Guosheng Lin, Yazhou Yao, Zhenmin Tang, Qingyao Wu, Xiansheng Hua:
Dense Semantics-Assisted Networks for Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3073-3084 (2022) - [j57]Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao:
Semisupervised Feature Selection via Structured Manifold Learning. IEEE Trans. Cybern. 52(7): 5756-5766 (2022) - [j56]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 34(1): 236-248 (2022) - [j55]Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu:
Iterative Refinement for Multi-Source Visual Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(6): 2810-2823 (2022) - [j54]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. IEEE Trans. Knowl. Data Eng. 34(9): 4063-4076 (2022) - [j53]Yuguang Yan, Hanrui Wu, Yuzhong Ye, Chaoyang Bi, Min Lu, Dapeng Liu, Qingyao Wu, Michael K. Ng:
Transferable Feature Selection for Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 34(11): 5536-5551 (2022) - [j52]Hanrui Wu, Qingyao Wu, Michael K. Ng:
Knowledge Preserving and Distribution Alignment for Heterogeneous Domain Adaptation. ACM Trans. Inf. Syst. 40(1): 16:1-16:29 (2022) - [c52]Yukun Su, Guosheng Lin, Yun Hao, Yiwen Cao, Wenjun Wang, Qingyao Wu:
Self-Supervised Object Localization with Joint Graph Partition. AAAI 2022: 2289-2297 - [c51]Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu:
General Object Pose Transformation Network from Unpaired Data. ECCV (6) 2022: 292-310 - [c50]Zhengchang Wen, Hailiang Huang, Yingwei Liang, Yi Ding, Xin Cheng, Qingyao Wu:
An End-to-End Speech Recognition System Based on Shared Encoder. ICEBE 2022: 32-37 - [c49]Xiaojing Zhong, Hao Hu, Li Li, Junhua Cen, Qingyao Wu:
Deep IoU Network for Dense Rebar Object Detection. ICEBE 2022: 45-50 - [c48]Zehui Ke, Hailiang Huang, Yingwei Liang, Yi Ding, Xin Cheng, Qingyao Wu:
Robust Video watermarking based on deep neural network and curriculum learning. ICEBE 2022: 80-85 - [c47]Xinyi Huang, Ni Zhang, Kesheng Fan, Xiaojing Zhong, Qingyao Wu:
Improved A* Method for High Efficiency Forklift Path Planning. ICEBE 2022: 136-140 - [i19]Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Qingyao Wu:
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection. CoRR abs/2203.04708 (2022) - [i18]Dongjian Huo, Yukun Su, Qingyao Wu:
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation. CoRR abs/2209.15211 (2022) - 2021
- [j51]Pengshuai Yin, Yanwu Xu, Jinhui Zhu, Jiang Liu, Chang'an Yi, Huichou Huang, Qingyao Wu:
Deep level set learning for optic disc and cup segmentation. Neurocomputing 464: 330-341 (2021) - [j50]Hanrui Wu, Yuguang Yan, Sentao Chen, Xiangkang Huang, Qingyao Wu, Michael K. Ng:
Joint Visual and Semantic Optimization for zero-shot learning. Knowl. Based Syst. 215: 106773 (2021) - [j49]Pengshuai Yin, Jiayong Ye, Guosheng Lin, Qingyao Wu:
Graph neural network for 6D object pose estimation. Knowl. Based Syst. 218: 106839 (2021) - [j48]Zheng Xie, Zhiquan Wen, Yaowei Wang, Qingyao Wu, Mingkui Tan:
Towards effective deep transfer via attentive feature alignment. Neural Networks 138: 98-109 (2021) - [j47]Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang:
Selection of diverse features with a diverse regularization. Pattern Recognit. 120: 108154 (2021) - [j46]Chi Zhang, Guankai Li, Guosheng Lin, Qingyao Wu, Rui Yao:
CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence. IEEE Trans. Image Process. 30: 5652-5664 (2021) - [j45]Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie:
Fast Manifold Ranking With Local Bipartite Graph. IEEE Trans. Image Process. 30: 6744-6756 (2021) - [j44]Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu:
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. 33(3): 1078-1088 (2021) - [j43]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. 33(6): 2680-2692 (2021) - [j42]Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen:
Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2744-2757 (2021) - [c46]Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu:
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation. ICCV 2021: 6984-6994 - [c45]Yukun Su, Guosheng Lin, Qingyao Wu:
Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity. ICCV 2021: 13308-13318 - [c44]Fangyuan Xie, Pengshuai Yin, Zehui Ke, Ruizhou Sun, Ke Ding, Jian Chen, Qingyao Wu:
Vehicle Segmentation with Coarse Distance Estimation Based on Monocular Vision. ICEBE 2021: 16-20 - [c43]Yun Hao, Xiangkang Huang, Huichou Huang, Qingyao Wu:
Denoi-SpEx+: A Speaker Extraction Network based Speech Dialogue System. ICEBE 2021: 49-53 - [c42]Wenjun Wang, Xiangkang Huang, Xin Shu, Shuping Li, Huichou Huang, Qingyao Wu:
An Implementation of Face Recognition System with Face Presentation Attack Detection on Raspberry Pi. ICEBE 2021: 70-75 - [c41]Lvlong Lai, Jian Chen, Huichou Huang, Qingyao Wu:
Exploring A CAM - Based Approach for Weakly Supervised Fire Detection Task. ICEBE 2021: 134-138 - [c40]Jiaju Wu, Pengshuai Yin, Xin Shu, Huichou Huang, Fei Liu, Qingyao Wu:
A Vision-based Lane Departure Warning Framework. ICEBE 2021: 139-143 - [c39]Yukun Su, Guosheng Lin, Ruizhou Sun, Yun Hao, Qingyao Wu:
Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning. ACM Multimedia 2021: 769-778 - [c38]Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu:
MV-TON: Memory-based Video Virtual Try-on network. ACM Multimedia 2021: 908-916 - [c37]Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan:
Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. ACM Multimedia 2021: 5038-5046 - [c36]Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu:
Debiased Visual Question Answering from Feature and Sample Perspectives. NeurIPS 2021: 3784-3796 - [c35]Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang:
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. SIGIR 2021: 357-366 - [i17]Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu:
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation. CoRR abs/2103.01795 (2021) - [i16]Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, Qingyao Wu:
MV-TON: Memory-based Video Virtual Try-on network. CoRR abs/2108.07502 (2021) - [i15]Chi Zhang, Guosheng Lin, Lvlong Lai, Henghui Ding, Qingyao Wu:
Calibrating Class Activation Maps for Long-Tailed Visual Recognition. CoRR abs/2108.12757 (2021) - 2020
- [j41]Pengshuai Yin, Rui Yuan, Yiming Cheng, Qingyao Wu:
Deep Guidance Network for Biomedical Image Segmentation. IEEE Access 8: 116106-116116 (2020) - [j40]Hanrui Wu, Yuguang Yan, Yuzhong Ye, Michael K. Ng, Qingyao Wu:
Geometric Knowledge Embedding for unsupervised domain adaptation. Knowl. Based Syst. 191: 105155 (2020) - [j39]Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, Ying Shen, Qingyao Wu:
Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering. Neural Networks 132: 53-65 (2020) - [j38]Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan:
Scripted Video Generation With a Bottom-Up Generative Adversarial Network. IEEE Trans. Image Process. 29: 7454-7467 (2020) - [j37]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [j36]Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li:
An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network. IEEE Trans. Image Process. 29: 9627-9640 (2020) - [j35]Hanrui Wu, Yuguang Yan, Michael K. Ng, Qingyao Wu:
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation. ACM Trans. Intell. Syst. Technol. 11(4): 44:1-44:19 (2020) - [j34]Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang:
LABIN: Balanced Min Cut for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 31(3): 725-736 (2020) - [c34]Yukun Su, Guosheng Lin, Jin-Hui Zhu, Qingyao Wu:
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition. ECCV (4) 2020: 74-90 - [c33]Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu:
Graph Edit Distance Reward: Learning to Edit Scene Graph. ECCV (19) 2020: 539-554 - [c32]Zhenhao He, Yuhong He, Qingyao Wu, Jian Chen:
Fg2seq: Effectively Encoding Knowledge for End-To-End Task-Oriented Dialog. ICASSP 2020: 8029-8033 - [c31]Haoming Xu, Runhao Zeng, Qingyao Wu, Mingkui Tan, Chuang Gan:
Cross-Modal Relation-Aware Networks for Audio-Visual Event Localization. ACM Multimedia 2020: 3893-3901 - [i14]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. CoRR abs/2003.03051 (2020) - [i13]Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan:
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR abs/2005.01577 (2020) - [i12]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR abs/2007.07222 (2020) - [i11]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks with Local Coordinate Coding. CoRR abs/2008.00942 (2020) - [i10]Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu:
Graph Edit Distance Reward: Learning to Edit Scene Graph. CoRR abs/2008.06651 (2020) - [i9]Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan:
Double Forward Propagation for Memorized Batch Normalization. CoRR abs/2010.04947 (2020) - [i8]Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Chengming Li, Min Yang, Yang Sun, Guoxiao Zhang:
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking. CoRR abs/2012.07598 (2020)
2010 – 2019
- 2019
- [j33]Yuqi Yang, Pengshuai Yin, Zhihang Luo, Wenwen Gu, Renjie Chen, Qingyao Wu:
Informative Feature Clustering and Selection for Gene Expression Data. IEEE Access 7: 169174-169184 (2019) - [j32]Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao, Wei Zhou:
Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning. Neural Networks 117: 240-248 (2019) - [j31]Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang:
Subspace Weighting Co-Clustering of Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 352-364 (2019) - [j30]Runhao Zeng, Chuang Gan, Peihao Chen, Wenbing Huang, Qingyao Wu, Mingkui Tan:
Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization. IEEE Trans. Image Process. 28(12): 5797-5808 (2019) - [j29]Hanrui Wu, Yuguang Yan, Yuzhong Ye, Huaqing Min, Michael K. Ng, Qingyao Wu:
Online Heterogeneous Transfer Learning by Knowledge Transition. ACM Trans. Intell. Syst. Technol. 10(3): 26:1-26:19 (2019) - [j28]Fan Lyu, Qi Wu, Fuyuan Hu, Qingyao Wu, Mingkui Tan:
Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks. IEEE Trans. Multim. 21(8): 1971-1981 (2019) - [j27]Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan:
Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis. IEEE Trans. Multim. 21(11): 2726-2737 (2019) - [c30]Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael K. Ng, Huaqing Min, Qingyao Wu:
Oversampling for Imbalanced Data via Optimal Transport. AAAI 2019: 5605-5612 - [c29]Chi Zhang, Guosheng Lin, Fayao Liu, Jiushuang Guo, Qingyao Wu, Rui Yao:
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation. ICCV 2019: 9586-9594 - [c28]Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen:
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. IJCAI 2019: 5349-5355 - [c27]Shihao Zhang,