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ORCIDChen Gong 0002
Person information
- affiliation: Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- affiliation (PhD 2016): Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China
- affiliation (PhD 2016): University of Technology Sydney, Centre for Quantum Computation and Intelligent Systems, Australia
Other persons with the same name
- Chen Gong — disambiguation page
- Chen Gong 0001
![[0000-0002-7150-0024]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7150-0024")
— Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Key Laboratory of Wireless-Optical Communications, Hefei, China (and 2 more) - Chen Gong 0003 — Beijing Institute of Technology, Institute of Application Specific Instruction-Set Processors, China
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2020 – today
- 2020
[j47]Lin Zhao, Jie Xu, Shanshan Zhang, Chen Gong, Jian Yang, Xinbo Gao:
Perceiving heavily occluded human poses by assigning unbiased score. Inf. Sci. 537: 284-301 (2020)- [j46]Xiaofei Zhou, Gongyang Li, Chen Gong, Zhi Liu, Jiyong Zhang:
Attention-guided RGBD saliency detection using appearance information. Image Vis. Comput. 95: 103888 (2020) - [j45]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Learning Data-adaptive Non-parametric Kernels. J. Mach. Learn. Res. 21: 208:1-208:39 (2020) - [j44]Yao Tang, Lin Zhao, Shanshan Zhang, Chen Gong, Guangyu Li, Jian Yang:
Integrating prediction and reconstruction for anomaly detection. Pattern Recognit. Lett. 129: 123-130 (2020) - [j43]Lei Zhou, Xiangyong Kong, Chen Gong, Fan Zhang, Xiaoguo Zhang:
FC-RCCN: Fully convolutional residual continuous CRF network for semantic segmentation. Pattern Recognit. Lett. 130: 54-63 (2020) - [j42]Di Wang, Yumin Tian, Wenhui Geng, Lin Zhao, Chen Gong:
LPR-Net: Recognizing Chinese license plate in complex environments. Pattern Recognit. Lett. 130: 148-156 (2020) - [j41]Jie Xu, Lin Zhao, Shanshan Zhang, Chen Gong, Jian Yang:
Multi-task learning for object keypoints detection and classification. Pattern Recognit. Lett. 130: 182-188 (2020) - [j40]Xianye Ben, Chen Gong, Peng Zhang, Rui Yan, Qiang Wu, Weixiao Meng:
Coupled Bilinear Discriminant Projection for Cross-View Gait Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(3): 734-747 (2020) - [j39]Chen Gong, Hong Shi, Jie Yang, Jian Yang:
Multi-Manifold Positive and Unlabeled Learning for Visual Analysis. IEEE Trans. Circuits Syst. Video Technol. 30(5): 1396-1409 (2020) - [j38]Tao Zhou, Changqing Zhang, Chen Gong, Harish Bhaskar, Jie Yang:
Multiview Latent Space Learning With Feature Redundancy Minimization. IEEE Trans. Cybern. 50(4): 1655-1668 (2020) - [j37]Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang:
Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(5): 3162-3177 (2020) - [j36]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 Trans. Image Process. 29: 3132-3142 (2020) - [j35]Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang, Wei Liu, Jie Yang:
Toward Making Unsupervised Graph Hashing Discriminative. IEEE Trans. Multim. 22(3): 760-774 (2020) - [j34]Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic:
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2236-2239 (2020) - [j33]Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
Survey on Multi-Output Learning. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2409-2429 (2020) - [j32]Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao:
Harnessing Side Information for Classification Under Label Noise. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3178-3192 (2020) - [c39]Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang:
Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification. AAAI 2020: 12669-12676 - [c38]Guangyu Li, Chen Gong, Lin Zhao, Jinsong Wu, Lila Boukhatem:
An Efficient Reinforcement Learning based Charging Data Delivery Scheme in VANET-Enhanced Smart Grid. BigComp 2020: 263-270 - [c37]Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli:
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation. CVPR 2020: 10274-10283 - [c36]Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari:
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. IJCAI 2020: 1926-1932 - [c35]Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang:
Online Positive and Unlabeled Learning. IJCAI 2020: 2248-2254 - [i14]Yao Yao, Chen Gong, Jiehui Deng, Jian Yang:
Network Cooperation with Progressive Disambiguation for Partial Label Learning. CoRR abs/2002.11919 (2020) - [i13]Sheng Wan, Shirui Pan, Jian Yang, Chen Gong:
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. CoRR abs/2009.07111 (2020) - [i12]Sheng Wan, Chen Gong, Shirui Pan, Jie Yang, Jian Yang:
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification. CoRR abs/2009.09196 (2020)
2010 – 2019
- 2019
- [j31]Yang Wei, Jian Yang, Chen Gong, Shuo Chen, Jianjun Qian:
Obstacle Detection by Fusing Point Clouds and Monocular Image. Neural Process. Lett. 49(3): 1007-1019 (2019) - [j30]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. IEEE Trans. Cybern. 49(2): 388-402 (2019) - [j29]Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang:
LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization. IEEE Trans. Cybern. 49(5): 1722-1734 (2019) - [j28]Xianye Ben, Chen Gong, Peng Zhang, Xitong Jia, Qiang Wu, Weixiao Meng:
Coupled Patch Alignment for Matching Cross-View Gaits. IEEE Trans. Image Process. 28(6): 3142-3157 (2019) - [j27]Chen Gong, Jian Yang, Dacheng Tao:
Multi-Modal Curriculum Learning over Graphs. ACM Trans. Intell. Syst. Technol. 10(4): 35:1-35:25 (2019) - [j26]Bi-ke Chen, Chen Gong, Jian Yang:
Importance-Aware Semantic Segmentation for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 20(1): 137-148 (2019) - [j25]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Johan A. K. Suykens:
Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure. IEEE Trans. Neural Networks Learn. Syst. 30(3): 765-776 (2019) - [j24]Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh:
Learning With Annotation of Various Degrees. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2794-2804 (2019) - [j23]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 Trans. Neural Networks Learn. Syst. 30(10): 2916-2925 (2019) - [j22]Chen Gong, Tongliang Liu, Jian Yang, Dacheng Tao:
Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3471-3483 (2019) - [c34]Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. AAAI 2019: 3347-3354 - [c33]Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang:
Inter-Class Angular Loss for Convolutional Neural Networks. AAAI 2019: 3894-3901 - [c32]Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong:
Positive and Unlabeled Learning with Label Disambiguation. IJCAI 2019: 4250-4256 - [c31]Jingchen Ke, Chen Gong, Lin Zhao:
Laplacian Welsch Regularization for Robust Semi-supervised Dictionary Learning. IScIDE (2) 2019: 40-52 - [c30]Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang:
Curvilinear Distance Metric Learning. NeurIPS 2019: 4225-4234 - [c29]Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama:
Are Anchor Points Really Indispensable in Label-Noise Learning? NeurIPS 2019: 6835-6846 - [c28]Xinran Wei, Dongliang Chang, Jiyang Xie, Yixiao Zheng, Chen Gong, Chuang Zhang, Zhanyu Ma:
FICAL: Focal Inter-Class Angular Loss for Image Classification. VCIP 2019: 1-4 - [i11]Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
A Survey on Multi-output Learning. CoRR abs/1901.00248 (2019) - [i10]Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao:
Learning with Inadequate and Incorrect Supervision. CoRR abs/1902.07429 (2019) - [i9]Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, Dacheng Tao:
A Regularization Approach for Instance-Based Superset Label Learning. CoRR abs/1904.02832 (2019) - [i8]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. CoRR abs/1904.03828 (2019) - [i7]Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao:
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. CoRR abs/1904.06842 (2019) - [i6]Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang:
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification. CoRR abs/1905.06133 (2019) - [i5]Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama:
Are Anchor Points Really Indispensable in Label-Noise Learning? CoRR abs/1906.00189 (2019) - [i4]Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. CoRR abs/1909.11953 (2019) - 2018
- [j21]Chen Gong, Zechao Li, Xiaojun Chang, Yong Luo:
Learning-Based Multimedia Analyses and Applications. Adv. Multim. 2018: 2705839:1-2705839:2 (2018) - [j20]Chao Ma, Yun Gu, Chen Gong, Jie Yang, Deying Feng:
Unsupervised Video Hashing via Deep Neural Network. Neural Process. Lett. 47(3): 877-890 (2018) - [j19]Chao Ma, Chen Gong, Yun Gu, Jie Yang, Deying Feng:
SHISS: Supervised hashing with informative set selection. Pattern Recognit. Lett. 107: 105-113 (2018) - [j18]Junxia Li, Jian Yang, Chen Gong, Qingshan Liu:
Saliency fusion via sparse and double low rank decomposition. Pattern Recognit. Lett. 107: 114-122 (2018) - [j17]Fanghui Liu, Tao Zhou, Chen Gong, Keren Fu, Li Bai, Jie Yang:
Inverse Nonnegative Local Coordinate Factorization for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 28(8): 1752-1764 (2018) - [j16]Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, Dacheng Tao:
A Regularization Approach for Instance-Based Superset Label Learning. IEEE Trans. Cybern. 48(3): 967-978 (2018) - [j15]Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao:
Robust Visual Tracking Revisited: From Correlation Filter to Template Matching. IEEE Trans. Image Process. 27(6): 2777-2790 (2018) - [j14]Xiaofei Zhou, Zhi Liu, Chen Gong, Wei Liu:
Improving Video Saliency Detection via Localized Estimation and Spatiotemporal Refinement. IEEE Trans. Multim. 20(11): 2993-3007 (2018) - [c27]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Nonlinear Pairwise Layer and Its Training for Kernel Learning. AAAI 2018: 3659-3666 - [c26]Xingyu Chen, Chen Gong, Chao Ma, Xiaolin Huang, Jie Yang:
Privileged Semi-Supervised Learning. ICIP 2018: 2999-3003 - [c25]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. IJCAI 2018: 2021-2027 - [c24]Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang:
Teaching Semi-Supervised Classifier via Generalized Distillation. IJCAI 2018: 2156-2162 - [c23]Hong Shi, Shaojun Pan, Jian Yang, Chen Gong:
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation. IJCAI 2018: 2689-2695 - [c22]Xiaofei Zhou, Zhi Liu, Chen Gong, Gongyang Li, Mengke Huang:
Video Saliency Detection Using Deep Convolutional Neural Networks. PRCV (2) 2018: 308-319 - [i3]Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. CoRR abs/1802.03170 (2018) - [i2]Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li:
Learning Data-adaptive Nonparametric Kernels. CoRR abs/1808.10724 (2018) - 2017
- [j13]Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Xiangjian He, Jie Yang:
Visual Tracking via Nonnegative Multiple Coding. IEEE Trans. Multim. 19(12): 2680-2691 (2017) - [j12]Chen Gong, Dacheng Tao, Wei Liu, Liu Liu, Jie Yang:
Label Propagation via Teaching-to-Learn and Learning-to-Teach. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1452-1465 (2017) - [c21]Yang Wei, Chen Gong, Shuo Chen:
Harnessing U-disparity in Point Clouds for Obstacle Detection. ACPR 2017: 262-267 - [c20]Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao:
Learning with Inadequate and Incorrect Supervision. ICDM 2017: 889-894 - [c19]Bi-ke Chen, Chen Gong, Jian Yang:
Importance-Aware Semantic Segmentation for Autonomous Driving System. IJCAI 2017: 1504-1510 - [i1]Le Hui, Xiang Li, Jiaxin Chen, Hongliang He, Chen Gong, Jian Yang:
Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders. CoRR abs/1712.02050 (2017) - 2016
- [j11]Keren Fu, Irene Y. H. Gu, Chen Gong, Jie Yang:
Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction. Neurocomputing 175: 336-347 (2016) - [j10]Chen Gong, Dacheng Tao, Stephen J. Maybank, Wei Liu, Guoliang Kang, Jie Yang:
Multi-Modal Curriculum Learning for Semi-Supervised Image Classification. IEEE Trans. Image Process. 25(7): 3249-3260 (2016) - [c18]Chen Gong, Dacheng Tao, Jie Yang, Wei Liu:
Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation. AAAI 2016: 1610-1616 - [c17]Long Lan, Dacheng Tao, Chen Gong, Naiyang Guan, Zhigang Luo:
Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization. IJCAI 2016: 3396-3402 - 2015
- [j9]Chen Gong, Keren Fu, Lei Zhou, Jie Yang, Xiangjian He:
Scalable Semi-Supervised Classification via Neumann Series. Neural Process. Lett. 42(1): 187-197 (2015) - [j8]Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang:
Normalized Cut-Based Saliency Detection by Adaptive Multi-Level Region Merging. IEEE Trans. Image Process. 24(12): 5671-5683 (2015) - [j7]Chen Gong, Dacheng Tao, Keren Fu, Jie Yang:
Fick's Law Assisted Propagation for Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2148-2162 (2015) - [j6]Chen Gong, Tongliang Liu, Dacheng Tao, Keren Fu, Enmei Tu, Jie Yang:
Deformed Graph Laplacian for Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2261-2274 (2015) - [c16]Chen Gong, Dacheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang:
Saliency propagation from simple to difficult. CVPR 2015: 2531-2539 - [c15]Wei Xu, Yijun Li, Chen Gong, Jie Yang:
Multi-view implicit transfer for person re-identification. ICASSP 2015: 1151-1155 - [c14]Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang, Pengfei Shi:
Salient object detection using normalized cut and geodesics. ICIP 2015: 1100-1104 - 2014
- [j5]Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang:
Semi-supervised classification with pairwise constraints. Neurocomputing 139: 130-137 (2014) - [j4]Chen Gong, Keren Fu, Artur Loza, Qiang Wu, Jia Liu, Jie Yang:
PageRank Tracker: From Ranking to Tracking. IEEE Trans. Cybern. 44(6): 882-893 (2014) - [c13]Chen Gong, Dacheng Tao, Keren Fu, Jie Yang:
ReLISH: Reliable Label Inference via Smoothness Hypothesis. AAAI 2014: 1840-1846 - [c12]Chen Gong, Dacheng Tao, Jie Yang, Keren Fu:
Signed Laplacian Embedding for Supervised Dimension Reduction. AAAI 2014: 1847-1853 - [c11]Keren Fu, Chen Gong, Yixiao Yun, Yijun Li, Irene Yu-Hua Gu, Jie Yang, Jingyi Yu:
Adaptive Multi-Level Region Merging for Salient Object Detection. BMVC 2014 - [c10]Long Xu, Chen Gong, Jie Yang, Qiang Wu, Lixiu Yao:
Violent video detection based on MoSIFT feature and sparse coding. ICASSP 2014: 3538-3542 - [c9]Keren Fu, Kai Xie, Chen Gong, Irene Y. H. Gu, Jie Yang:
Effective small DIM target detection by local connectedness constraint. ICASSP 2014: 8110-8114 - [c8]Zhongjie Yu, Chen Gong, Jie Yang, Li Bai:
Pedestrian counting based on spatial and temporal analysis. ICIP 2014: 2432-2436 - [c7]Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang, Xiangjian He:
Spectral salient object detection. ICME 2014: 1-6 - [c6]Keren Fu, Irene Y. H. Gu, Yixiao Yun, Chen Gong, Jie Yang:
Graph Construction for Salient Object Detection in Videos. ICPR 2014: 2371-2376 - 2013
- [j3]Chen Gong, Keren Fu, Enmei Tu, Jie Yang, Xiangjian He:
Robust object tracking using linear neighborhood propagation. J. Electronic Imaging 22(1): 013015 (2013) - [j2]Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Yu-Hua Gu:
One-class support vector machine-assisted robust tracking. J. Electronic Imaging 22(2): 023002 (2013) - [j1]Keren Fu, Chen Gong, Jie Yang, Yue Zhou, Irene Yu-Hua Gu:
Superpixel based color contrast and color distribution driven salient object detection. Signal Process. Image Commun. 28(10): 1448-1463 (2013) - [c5]Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang:
Geodesic saliency propagation for image salient region detection. ICIP 2013: 3278-3282 - [c4]Lei Zhou, Chen Gong, YiJun Li, Yu Qiao, Jie Yang, Nikola K. Kasabov:
Salient Object Segmentation Based on Automatic Labeling. ICONIP (3) 2013: 584-591 - 2012
- [c3]Keren Fu, Chen Gong, Jie Yang, Yue Zhou:
Salient Object Detection via Color Contrast and Color Distribution. ACCV (1) 2012: 111-122 - [c2]Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Guy:
One-Class SVM assisted accurate tracking. ICDSC 2012: 1-6 - [c1]Chen Gong, Yang Liu, Tianyu Li, Jie Yang, Xiangjian He:
The Extended Co-learning Framework for Robust Object Tracking. ICME 2012: 398-403
Coauthor Index
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