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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
- 2023
[j71]Mengke Huang, Gongyang Li, Zhi Liu, Yong Wu, Chen Gong, Linchao Zhu, Yi Yang:
Exploring viewport features for semi-supervised saliency prediction in omnidirectional images. Image Vis. Comput. 129: 104590 (2023)- [j70]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity Induced Human Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 197-210 (2023) - [j69]Dayong Tian, Chen Gong, Maoguo Gong, Yiwen Wei, Xiaoxuan Feng:
Modeling Cardinality in Image Hashing. IEEE Trans. Cybern. 53(1): 114-123 (2023) - 2022
- [j68]Chuang Zhang, Li Shen, Jian Yang, Chen Gong:
Towards harnessing feature embedding for robust learning with noisy labels. Mach. Learn. 111(9): 3181-3201 (2022) - [j67]Chen Gong, Jian Yang, Jane You, Masashi Sugiyama:
Centroid Estimation With Guaranteed Efficiency: A General Framework for Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2841-2855 (2022) - [j66]Chen Gong, Qizhou Wang, Tongliang Liu, Bo Han, Jane You, Jian Yang, Dacheng Tao:
Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4163-4177 (2022) - [j65]Sheng Wan, Shirui Pan, Shengwei Zhong, Jie Yang, Jian Yang, Yibing Zhan, Chen Gong:
Multi-level graph learning network for hyperspectral image classification. Pattern Recognit. 129: 108705 (2022) - [j64]Tianhuan Huang, Xianye Ben, Chen Gong, Baochang Zhang, Rui Yan, Qiang Wu:
Enhanced Spatial-Temporal Salience for Cross-View Gait Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(10): 6967-6980 (2022) - [j63]Jingchen Ke, Chen Gong, Tongliang Liu, Lin Zhao, Jian Yang, Dacheng Tao:
Laplacian Welsch Regularization for Robust Semisupervised Learning. IEEE Trans. Cybern. 52(1): 164-177 (2022) - [j62]Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong:
Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j61]Shengwei Zhong, Tao Zhou, Sheng Wan, Jian Yang, Chen Gong:
Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j60]Xiaofei Zhou, Kunye Shen, Zhi Liu, Chen Gong, Jiyong Zhang, Chenggang Yan:
Edge-Aware Multiscale Feature Integration Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j59]Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang:
Feature Aggregation and Propagation Network for Camouflaged Object Detection. IEEE Trans. Image Process. 31: 7036-7047 (2022) - [j58]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2378-2392 (2022) - [c57]Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu:
Understanding Robust Overfitting of Adversarial Training and Beyond. ICML 2022: 25595-25610 - [c56]Cheng Zhang, Shengwei Zhong, Chen Gong:
Feature Integration-Based Training for Cross-Domain Hyperspectral Image Classification. IGARSS 2022: 3572-3575 - [c55]Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong:
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation. SDM 2022: 253-261 - [i30]Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen:
Consistency and Diversity induced Human Motion Segmentation. CoRR abs/2202.04861 (2022) - [i29]Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong:
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation. CoRR abs/2203.10858 (2022) - [i28]Wentao Yu, Sheng Wan, Guangyu Li, Jian Yang, Chen Gong:
Hyperspectral Image Classification With Contrastive Graph Convolutional Network. CoRR abs/2205.11237 (2022) - [i27]Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu:
Understanding Robust Overfitting of Adversarial Training and Beyond. CoRR abs/2206.08675 (2022) - [i26]Chuang Zhang, Li Shen, Jian Yang, Chen Gong:
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels. CoRR abs/2206.13025 (2022) - [i25]Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu:
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style. CoRR abs/2207.03162 (2022) - [i24]Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan:
Unifying Graph Contrastive Learning with Flexible Contextual Scopes. CoRR abs/2210.08792 (2022) - [i23]Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han:
Watermarking for Out-of-distribution Detection. CoRR abs/2210.15198 (2022) - 2021
- [j57]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable shot identification for complex event detection via visual-semantic embedding. Comput. Vis. Image Underst. 213: 103300 (2021) - [j56]Xiuhua Chen, Chen Gong, Jian Yang:
Cost-sensitive positive and unlabeled learning. Inf. Sci. 558: 229-245 (2021) - [j55]Chen Gong, Hong Shi, Tongliang Liu, Chuang Zhang, Jian Yang, Dacheng Tao:
Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 918-932 (2021) - [j54]Lin Zhao, Jie Xu, Chen Gong, Jian Yang, Wangmeng Zuo, Xinbo Gao:
Learning to Acquire the Quality of Human Pose Estimation. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1555-1568 (2021) - [j53]Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-Fu Lu, Chen Gong:
δ-Norm-Based Robust Regression With Applications to Image Analysis. IEEE Trans. Cybern. 51(6): 3371-3383 (2021) - [j52]Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang:
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 59(1): 597-612 (2021) - [j51]Tongtong Che, Yuanjie Zheng, Yunshuai Yang, Sujuan Hou, Weikuan Jia, Jie Yang, Chen Gong:
SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks. IEEE Trans. Image Process. 30: 6036-6049 (2021) - [j50]Lin Zhao, Nannan Wang, Chen Gong, Jian Yang, Xinbo Gao:
Estimating Human Pose Efficiently by Parallel Pyramid Networks. IEEE Trans. Image Process. 30: 6785-6800 (2021) - [j49]Lei Zhou, Chen Gong, Zhi Liu, Keren Fu:
SAL: Selection and Attention Losses for Weakly Supervised Semantic Segmentation. IEEE Trans. Multim. 23: 1035-1048 (2021) - [c54]Sheng Wan, Shirui Pan, Jian Yang, Chen Gong:
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. AAAI 2021: 10049-10057 - [c53]Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong:
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. AAAI 2021: 10183-10191 - [c52]Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. AAAI 2021: 10192-10200 - [c51]Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong:
Fraud Detection under Multi-Sourced Extremely Noisy Annotations. CIKM 2021: 2497-2506 - [c50]Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang:
Robust early-learning: Hindering the memorization of noisy labels. ICLR 2021 - [c49]Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama:
Large-Margin Contrastive Learning with Distance Polarization Regularizer. ICML 2021: 1673-1683 - [c48]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI 2021: 1477-1483 - [c47]Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong:
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. NeurIPS 2021: 6316-6327 - [c46]Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama:
Probabilistic Margins for Instance Reweighting in Adversarial Training. NeurIPS 2021: 23258-23269 - [c45]Zhuo Huang, Chao Xue, Bo Han, Jian Yang, Chen Gong:
Universal Semi-Supervised Learning. NeurIPS 2021: 26714-26725 - [i22]Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong:
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. CoRR abs/2101.05467 (2021) - [i21]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. CoRR abs/2103.00113 (2021) - [i20]Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. CoRR abs/2103.09468 (2021) - [i19]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR abs/2105.05682 (2021) - [i18]Chenhong Zhou, Feng Liu, Chen Gong, Tongliang Liu, Bo Han, William Kwok-Wai Cheung:
KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation. CoRR abs/2106.06237 (2021) - [i17]Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama:
Probabilistic Margins for Instance Reweighting in Adversarial Training. CoRR abs/2106.07904 (2021) - [i16]Minnan Luo, Xiaojun Chang, Chen Gong:
Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding. CoRR abs/2110.08063 (2021) - 2020
- [j48]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) - [j47]Xiaofei Zhou, Gongyang Li, Chen Gong, Zhi Liu, Jiyong Zhang:
Attention-guided RGBD saliency detection using appearance information. Image Vis. Comput. 95: 103888 (2020) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [j33]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) - [c44]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 - [c43]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 - [c42]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 - [c41]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. ICPR 2020: 9988-9995 - [c40]Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari:
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning. IJCAI 2020: 1926-1932 - [c39]Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang:
Online Positive and Unlabeled Learning. IJCAI 2020: 2248-2254 - [c38]Yijing Luo, Bo Han, Chen Gong:
A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery. IJCAI 2020: 2605-2611 - [c37]Yao Tang, Lin Zhao, Zhaoliang Yao, Chen Gong, Jian Yang:
Graph-based motion prediction for abnormal action detection. MMAsia 2020: 63:1-63:7 - [c36]Yao Yao, Chen Gong, Jiehui Deng, Jian Yang:
Network Cooperation with Progressive Disambiguation for Partial Label Learning. ECML/PKDD (2) 2020: 471-488 - [i15]Yao Yao, Chen Gong, Jiehui Deng, Jian Yang:
Network Cooperation with Progressive Disambiguation for Partial Label Learning. CoRR abs/2002.11919 (2020) - [i14]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) - [i13]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) - [i12]Zhuo Huang, Ying Tai, Chengjie Wang, Jian Yang, Chen Gong:
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning. CoRR abs/2011.13529 (2020)
2010 – 2019
- 2019
- [j32]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) - [j31]Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang:
Ensemble Teaching for Hybrid Label Propagation. IEEE Trans. Cybern. 49(2): 388-402 (2019) - [j30]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) - [j29]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) - [j28]Chen Gong, Jian Yang, Dacheng Tao:
Multi-Modal Curriculum Learning over Graphs. ACM Trans. Intell. Syst. Technol. 10(4): 35:1-35:25 (2019) - [j27]Bi-ke Chen, Chen Gong, Jian Yang:
Importance-Aware Semantic Segmentation for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 20(1): 137-148 (2019) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [c35]Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li:
Data-Adaptive Metric Learning with Scale Alignment. AAAI 2019: 3347-3354 - [c34]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 - [c33]Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong:
Positive and Unlabeled Learning with Label Disambiguation. IJCAI 2019: 4250-4256 - [c32]Jingchen Ke, Chen Gong, Lin Zhao:
Laplacian Welsch Regularization for Robust Semi-supervised Dictionary Learning. IScIDE (2) 2019: 40-52 - [c31]Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang:
Curvilinear Distance Metric Learning. NeurIPS 2019: 4225-4234 - [c30]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 - [c29]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
- [j22]Chen Gong, Zechao Li, Xiaojun Chang, Yong Luo:
Learning-Based Multimedia Analyses and Applications. Adv. Multim. 2018: 2705839:1-2705839:2 (2018) - [j21]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) - [j20]Tao Zhang, Wenjing Jia, Chen Gong, Jun Sun, Xiaoning Song:
Semi-supervised dictionary learning via local sparse constraints for violence detection. Pattern Recognit. Lett. 107: 98-104 (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) - [c28]