Prof. Chen Gong (宫辰)


Publications (学术论文)


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  • IEEE/ACM Transactions系列文章为相关领域的世界顶级期刊,AAAI、IJCAI为人工智能领域国际顶级会议,CVPR、ICCV、ECCV为计算机视觉领域国际顶级会议,ICML、NeurIPS为机器学习领域国际顶级会议,KDD、ICDM为数据挖掘领域国际顶级会议。

[ 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012 ]


2020

  1. Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong.
    Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks.
    International Conference on Pattern Recognition (ICPR), 2020.
    [ paper ]

  2. Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li.
    Learning Data-adaptive Non-parametric Kernels.
    Journal of Machine Learning Research (JMLR), 2020.
    [ paper ]

  3. Lin Zhao, Jie Xu, Chen Gong, Jian Yang, Wangmeng Zuo, Xinbo Gao.
    Learning to Acquire the Quality of Human Pose Estimation.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
    [ paper ]

  4. Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang.
    Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.
    International Conference on Machine Learning (ICML), pp. 1944-1954, 2020.
    [ paper ]

  5. Yao Yao, Chen Gong, Jiehui Deng, Jian Yang.
    Network Cooperation with Progressive Disambiguation for Partial Label Learning.
    The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020.
    [ paper ]

  6. Yijing Luo, Bo Han, Chen Gong.
    A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery.
    International Joint Conference on Artificial Intelligence (IJCAI), pp. 2605-2611, 2020.
    [ paper ]

  7. Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang.
    Online Positive and Unlabeled Learning.
    International Joint Conference on Artificial Intelligence (IJCAI), pp. 2248-2254, 2020.
    [ paper ]

  8. Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari.
    Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning.
    International Joint Conference on Artificial Intelligence (IJCAI), pp. 1926-1932, 2020.
    [ paper ]

  9. Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli.
    Multi-mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10277-10286, 2020.
    [ paper ]

  10. Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang.
    Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification.
    AAAI Conference on Artificial Intelligence (AAAI), pp. 12669-12676, 2020.
    [ paper ]

  11. Sheng Wan, Ping Zhong, Shirui Pan, Jian Yang, Guangyu Li, Chen Gong.
    Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network.
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), pp. 1-16, 2020.
    [ paper ]

  12. Lin Zhao, Jie Xu, Shanshan Zhang, Chen Gong, Jian Yang, Xinbo Gao.
    Perceiving Heavily Occluded Human Poses by Assigning Unbiased Score.
    Information Sciences (INS), 2020.
    [ paper ]

  13. Lei Zhou, Chen Gong, Zhi Liu, Keren Fu.
    SAL: Selection and Attention Losses for Weakly Supervised Semantic Segmentation.
    IEEE Transactions on Multimedia (TMM), 2020.
    [ paper ]


2019

  1. Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama.
    Are Anchor Points Really Indispensable in Label-Noise Learning?
    Annual Conference on Neural Information Processing Systems (NeurIPS), pp. 6838-6849, 2019.
    [ paper ]

  2. Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang.
    Curvilinear Distance Metric Learning.
    Annual Conference on Neural Information Processing Systems (NeurIPS), pp. 4223-4232, 2019.
    [ paper ]

  3. Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong.
    Positive and Unlabeled Learning with Label Disambiguation.
    International Joint Conference on Artificial Intelligence (IJCAI), pp.4250-4256, 2019.
    [ paper ]

  4. Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang.
    Inter-Class Angular Loss for Convolutional Neural Networks.
    AAAI Conference on Artificial Intelligence (AAAI), pp. 3894-3901, 2019.
    [ paper ]

  5. Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Lei Hui, Jun Li.
    Data-Adaptive Metric Learning with Scale Alignment.
    AAAI Conference on Artificial Intelligence (AAAI), pp. 3347-3354, 2019.
    [ paper ]

  6. Chen Gong, Hong Shi, Tongliang Liu, Chuang Zhang, Jian Yang, Dacheng Tao.
    Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
    [ paper ]

  7. Chen Gong, Jian Yang, Dacheng Tao.
    Multi-modal Curriculum Learning over Graphs.
    ACM Transactions on Intelligent Systems and Technology (TIST), vol. 10, no. 04, pp. 25, 2019.
    [ paper ]

  8. Chen Gong, Hong Shi, Jie Yang, Jian Yang.
    Multi-Manifold Positive and Unlabeled Learning for Visual Analysis.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 05, pp. 1396-1409, 2019.
    [ paper ]

  9. Chen Gong, Tongliang Liu, Jian Yang, Dacheng Tao.
    Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 11, pp. 3471-3483, 2019.
    [ paper ]

  10. Hengmin Zhang, Jianjun Qian, Bob Zhang, Jian Yang, Chen Gong, Yang Wei.
    Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization with Convergence Guarantees.
    IEEE Transactions on Image Processing (TIP), vol. 29, pp. 3132-3142, 2019.
    [ paper ]

  11. Xianye Ben, Chen Gong, Peng Zhang, Xitong Jia, Qiang Wu, Weixiao Meng.
    Coupled Patch Alignment for Matching Cross-view Gaits.
    IEEE Transactions on Image Processing (TIP), vol. 28, no. 06, pp. 3142-3157, 2019.
    [ paper ]

  12. Jingchen Ke, Chen Gong, Tongliang Liu, Lin Zhao, Jian Yang, Dacheng Tao.
    Laplacian Welsch Regularization for Robust Semi-Supervised Learning.
    IEEE Transactions on Cybernetics (TCYB), 2019.
    [ paper ]

  13. Tao Zhou, Changqing Zhang, Chen Gong, Harish Bhaskar, Jie Yang.
    Multiview Latent Space Learning with Feature Redundancy Minimization.
    IEEE Transactions on Cybernetics (TCYB), vol. 50, no. 4, pp. 1655-1668, 2019.
    [ paper ]

  14. Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-fu Lu, Chen Gong.
    Delta-Norm-Based Robust Regression with Applications to Image Analysis.
    IEEE Transactions on Cybernetics (TCYB), pp. 1-13, 2019.
    [ paper ]

  15. Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang.
    Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 59, no. 5, pp. 3162-3177, 2019.
    [ paper ]

  16. Donna Xu, Yaxin Shi, Ivor Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen.
    A Survey on Multi-output Learning.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 31, no. 7, pp. 2409-2429, 2019.
    [ paper ]

  17. Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao.
    Harnessing Side Information for Classification under Label Noise.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019.
    [ paper ]

  18. Hengmin Zhang, Chen Gong, Jianjun Qian, Bob Zhang, Chunyan Xu, Jian Yang.
    Efficient Recovery of Low Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 10, pp. 2916-2925, 2019.
    [ paper ]

  19. Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang, Jie Yang.
    Towards Making Unsupervised Graph Hashing Discriminative.
    IEEE Transactions on Multimedia (TMM), vol. 22, no. 3, pp. 760-774, 2019.
    [ paper ]

  20. Xianye Ben, Chen Gong, Peng Zhang, Rui Yan, Qiang Wu, Weixiao Meng.
    Coupled Bilinear Discriminant Projection for Cross-view Gait Recognition.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 30, no. 3, pp. 734-747, 2019.
    [ ESI highly cited paper, paper ]


2018

  1. Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang.
    Teaching Semi-Supervised Classifier via Generalized Distillation.
    International Joint Conference on Artificial Intelligence (IJCAI), pp. 2156-2162, 2018.
    [ paper ]

  2. Shuo Chen, Chen Gong, Jian Yang.
    Adversarial Metric Learning.
    International Joint Conference on Artificial Intelligence (IJCAI), pp. 2021-2027, 2018.
    [ paper ]

  3. Hong Shi, Shaojun Pan, Jian Yang, Chen Gong.
    Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation.
    International Joint Conference on Artificial Intelligence (IJCAI), pp. 2689-2695, 2018.
    [ paper ]

  4. Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang.
    Nonlinear Pairwise Layer and Its Training for Kernel Learning.
    AAAI Conference on Artificial Intelligence (AAAI), pp. 3659-3666, 2018.
    [ paper ]

  5. Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao.
    Robust Visual Tracking Revisited: From Correlation Filter to Template Matching.
    IEEE Transactions on Image Processing (TIP), vol. 27, no. 6, pp. 2777-2790, 2018.
    [ paper ]

  6. Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang.
    LRR for Subspace Segmentation via Tractable Schatten-p Norm Minimization and Factorization.
    IEEE Transactions on Cybernetics (TCYB), vol. 49, no. 5, pp. 1722-1734, 2018.
    [ paper ]

  7. Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh.
    Learning with Annotation of Various Degrees.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 9, pp. 2794-2804, 2018.
    [ paper ]

  8. Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Johan A. K. Suykens.
    Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 30, no. 3, pp. 765-776, 2018.
    [ paper ]

  9. Xiaofei Zhou, Zhi Liu, Chen Gong, Wei Liu.
    Improving Video Saliency Detection via Localized Estimation and Spatiotemporal Refinement.
    IEEE Transactions on Multimedia (TMM), vol. 20, no. 11, pp. 2993-3007, 2018.
    [ paper ]

  10. Bi-Ke Chen, Chen Gong, Jian Yang.
    Importance-Aware Semantic Segmentation for Autonomous Vehicles.
    IEEE Transactions on Intelligent Transportation System (TITS), vol. 20, no. 1, pp. 137-148, 2018.
    [ paper ]


2017

  1. Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao.
    Learning with Inadequate and Incorrect Supervision.
    IEEE International Conference on Data Mining (ICDM), pp. 889-894, 2017.
    [ paper ]

  2. Chen Gong.
    Exploring Commonality and Individuality for Multi-modal Curriculum Learning.
    AAAI Conference on Artificial Intelligence (AAAI), pp. 1926-1933, 2017.
    [ paper ]

  3. Bi-Ke Chen, Chen Gong, Jian Yang.
    Importance-Aware Semantic Segmentation for Autonomous Driving System.
    International Joint Conference on Artificial Intelligence (IJCAI), pp. 1504-1510, 2017.
    [ paper ]

  4. Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang.
    Ensemble Teaching for Hybrid Label Propagation.
    IEEE Transactions on Cybernetics (TCYB), vol. 49, no. 2, pp. 388-402, 2017.
    [ paper ]

  5. Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, Dacheng Tao.
    A Regularization Approach for Instance-based Superset Label Learning.
    IEEE Transactions on Cybernetics (TCYB), vol. 48, no. 3, pp. 967-978, 2017.
    [ paper ]

  6. Chen Gong, Dacheng Tao, Wei Liu, Liu Liu, Jie Yang.
    Label Propagation via Teaching-to-Learn and Learning-to-Teach.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 28, no. 6, pp. 1452-1465, 2017.
    [ paper ]

  7. Junxia Li, Jian Yang, Chen Gong, Qingshan Liu.
    Saliency fusion via sparse and double low rank decomposition.
    Pattern Recognition Letters (PRL), vol. 107, pp. 114-122, 2017.
    [ paper ]

  8. Chao Ma, Chen Gong, Yun Gu, Jie Yang, Deying Feng.
    SHISS: Supervised hashing with informative set selection.
    Pattern Recognition Letters (PRL), vol. 107, pp. 105-113, 2017.
    [ paper ]

  9. Tao Zhang, Wenjing Jia, Chen Gong, Jun Sun, Xiaoning Song.
    Semi-supervised Dictionary Learning via Local Sparse Constraints for Violence Detection.
    Pattern Recognition Letters (PRL), vol. 107, pp. 98-104, 2017.
    [ paper ]

  10. Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Jie Yang.
    Inverse Nonnegative Local Coordinate Factorization for Visual Tracking.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 28, no. 8, pp. 1752-1764, 2017.
    [ paper ]

  11. Fanghui Liu, Tao Zhou, Chen Gong, Keren Fu, Li Bai, and Jie Yang.
    Visual Tracking via Nonnegative Multiple Coding.
    IEEE Transactions on Multimedia (TMM), vol. 19, no. 12, pp. 2680-2691, 2017.
    [ paper ]


2016

  1. Chen Gong, Dacheng Tao, Jie Yang.
    Teaching-to-Learn and Learning-to-Teach For Multi-label Propagation.
    AAAI Conference on Artificial Intelligence (AAAI), pp. 1610-1616, 2016.
    [ paper ]

  2. Long Lan, Dacheng Tao, Chen Gong, Naiyang Guan, Zhigang Luo.
    Online Multi-object Tracking by Quadratic Pseudo-Boolean Optimization.
    International Joint Conference on Artificial Intelligence (IJCAI), pp. 3396-3402, 2016.
    [ paper ]

  3. Chen Gong, Dacheng Tao, Stephen Maybank, Wei Liu, Guoliang Kang, Jie Yang.
    Multi-modal Curriculum Learning for Semi-supervised Image Classification.
    IEEE Transactions on Image Processing (TIP), vol. 25, no. 7, pp. 3249-3260, 2016.
    [ ESI highly cited paper, paper ]


2015

  1. Chen Gong, Dacheng Tao, Wei Liu, S.J. Maybank, Meng Fang, Keren Fu, Jie Yang.
    Saliency Propagation From Simple To Difficult.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2531-2539, 2015.
    [ paper ]

  2. Keren Fu, Chen Gong, Irene Gu, Jie Yang, Pengfei Shi.
    Salient object detection using normalized cut and geodesics.
    IEEE International Conference on Image Processing (ICIP), pp. 1100-1104, 2015.
    [ paper ]

  3. Chen Gong, Tongliang Liu, Dacheng Tao, Keren Fu, Jie Yang.
    Deformed graph Laplacian for semi-supervised learning.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 26, no. 10, pp. 2261-2274, 2015.
    [ paper ]

  4. Chen Gong, Dacheng Tao, Keren Fu, Jie Yang.
    Fick’s Law Assisted Propagation for semi-supervised learning.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 26, no. 9, pp. 2148-2162, 2015.
    [ paper ]

  5. Keren Fu, Chen Gong, Irene Gu, Jie Yang.
    Normalzied Cut-based Saliency Detection by Adaptive Multi-Level Region Merging.
    IEEE Transactions on Image Processing (TIP), vol. 24, no. 12, pp. 5671-5683, 2015.
    [ paper ]


2014

  1. Chen Gong, Dacheng Tao, Keren Fu, Jie Yang.
    ReLISH: Reliable Label Inference via Smoothness Hypothesis.
    AAAI Conference on Artificial Intelligence (AAAI), pp. 1840-1846, 2014.
    [ paper ]

  2. Chen Gong, Dacheng Tao, Keren Fu, Jie Yang.
    Signed Laplacian embedding for supervised dimension reduction.
    AAAI Conference on Artificial Intelligence (AAAI), pp. 1847-1853, 2014.
    [ paper ]

  3. Zhongjie Yu, Chen Gong, Jie Yang, Li Bai.
    Pedestrian counting based on spatial and temporal analysis.
    IEEE International Conference on Image Processing (ICIP), pp. 2432-2436, 2014.
    [ paper ]

  4. Keren Fu, Chen Gong, Irene Y.H. Gu, Jie Yang, Xiangjian He.
    Spectral salient object detection.
    IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, 2014.
    [ paper ]

  5. Keren Fu, Chen Gong, Yixiao Yun, Yijun Li, Irene Gu, Jie Yang, Jingyi Yu.
    Adaptive Multi-Level Region Merging for Salient Object Detection.
    British Machine Vision Conference (BMVC), 2014.
    [ paper ]

  6. Keren Fu, Irene Gu, Yixiao Yun, Chen Gong, Jie Yang.
    Graph construction for salient object detection in videos.
    International Conference on Pattern Recognition (ICPR), 2014.
    [ paper ]

  7. Long Xu, Chen Gong, Qiang Wu, Jie Yang.
    Violent video detection based on MoSIFT feature and sparse coding.
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3538-3542, 2014.
    [ paper ]

  8. Keren Fu, Kai Xie, Chen Gong, Irene Gu, Jie Yang.
    Violent video detection based on MoSIFT feature and sparse coding.
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 8110-8114, 2014.
    [ paper ]

  9. Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang.
    Semi-supervised classification with pairwise constraints.
    Neurocomputing , vol. 139, pp. 130-137, 2014.
    [ paper ]


2013

  1. Keren Fu, Chen Gong, Irene Gu, Jie Yang.
    Geodesic saliency propagation for image salient region detection.
    IEEE International Conference on Image Processing (ICIP), pp. 3278-3282, 2013.
    [ paper ]

  2. Lei Zhou, Chen Gong, Yijun Li, Yu Qiao, Jie Yang.
    Salient object segmentation based on automatical labeling.
    International Conference on Neural Information Processing (ICONIP), pp 584-591, 2013.
    [ paper ]

  3. Chen Gong, Keren Fu, Artur Loza, Qiang Wu, Jia Liu, Jie Yang.
    PageRank Tracker: From Ranking to Tracking.
    IEEE Transactions on Cybernetics (TCYB), vol. 44, no. 6, pp. 882-893, 2013.
    [ paper ]


2012

  1. Chen Gong, Yang Liu, Tianyu Li, Jie Yang, Xiangjian He.
    The extended co-learning framework for robust object tracking.
    IEEE International Conference on Multimedia and Expo (ICME), pp. 398-403, 2012.
    [ paper ]

  2. Keren Fu, Chen Gong, Jie Yang, Yue Zhou.
    Salient object detection via color contrast and color distribution.
    Asian Conference on Computer Vision (ACCV), pp. 111-122, 2012.
    [ paper ]