Chen Gong

According to our database, Chen Gong authored at least 168 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Regularly Truncated M-Estimators for Learning With Noisy Labels.

Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Dynamic Weighted Adversarial Learning for Semi-Supervised Classification under Intersectional Class Mismatch.

Mingyu Li, Tao Zhou, Zhuo Huang, Jian Yang, Jie Yang, Chen Gong

ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean.

Hengmin Zhang, Jiaoyan Zhao, Bob Zhang, Chen Gong, Jianjun Qian, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Server-Client Collaborative Distillation for Federated Reinforcement Learning.

Weiming Mai, Jiangchao Yao, Chen Gong, Ya Zhang, Yiu-Ming Cheung, Bo Han

ACM Trans. Knowl. Discov. Data, January, 2024

Easy-to-Hard Domain Adaptation With Human Interaction for Hyperspectral Image Classification.

Cheng Zhang, Shengwei Zhong, Sheng Wan, Chen Gong

IEEE Trans. Geosci. Remote. Sens., 2024

Direct Distillation between Different Domains.

Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama

CoRR, 2024

SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation.

Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Boundary-restricted metric learning.

Shuo Chen, Chen Gong, Xiang Li, Jian Yang, Gang Niu, Masashi Sugiyama

Mach. Learn., December, 2023

Generalized Nonconvex Nonsmooth Low-Rank Matrix Recovery Framework With Feasible Algorithm Designs and Convergence Analysis.

Hengmin Zhang, Feng Qian, Peng Shi, Wenli Du, Yang Tang, Jianjun Qian, Chen Gong, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Understanding How Pretraining Regularizes Deep Learning Algorithms.

Yu Yao, Baosheng Yu, Chen Gong, Tongliang Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Cross-level Feature Aggregation Network for Polyp Segmentation.

Tao Zhou, Yi Zhou, Kelei He, Chen Gong, Jian Yang, Huazhu Fu, Dinggang Shen

Pattern Recognit., August, 2023

Class-Wise Denoising for Robust Learning Under Label Noise.

Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane You, Dacheng Tao, Masashi Sugiyama

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning.

Zhuo Huang, Jian Yang, Chen Gong

IEEE Trans. Multim., 2023

Tackling Micro-Expression Data Shortage via Dataset Alignment and Active Learning.

Xianye Ben, Chen Gong, Tianhuan Huang, Chuanye Li, Rui Yan, Yujun Li

IEEE Trans. Multim., 2023

KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation.

Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, Kwok-Wai Cheung, Bo Han

Trans. Mach. Learn. Res., 2023

Hyperspectral Image Classification With Contrastive Graph Convolutional Network.

Wentao Yu, Sheng Wan, Guangyu Li, Jian Yang, Chen Gong

IEEE Trans. Geosci. Remote. Sens., 2023

Modeling Cardinality in Image Hashing.

Dayong Tian, Chen Gong, Maoguo Gong, Yiwen Wei, Xiaoxuan Feng

IEEE Trans. Cybern., 2023

Consistency and Diversity Induced Human Motion Segmentation.

Tao Zhou, Huazhu Fu, Chen Gong, Ling Shao, Fatih Porikli, Haibin Ling, Jianbing Shen

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Exploring viewport features for semi-supervised saliency prediction in omnidirectional images.

Mengke Huang, Gongyang Li, Zhi Liu, Yong Wu, Chen Gong, Linchao Zhu, Yi Yang

Image Vis. Comput., 2023

Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation.

Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He, Chen Gong, Huazhu Fu

CoRR, 2023

SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation.

Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang

CoRR, 2023

Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization.

Zhuo Huang, Muyang Li, Li Shen, Jun Yu, Chen Gong, Bo Han, Tongliang Liu

CoRR, 2023

Atom-Motif Contrastive Transformer for Molecular Property Prediction.

Wentao Yu, Shuo Chen, Chen Gong, Gang Niu, Masashi Sugiyama

CoRR, 2023

Regularly Truncated M-estimators for Learning with Noisy Labels.

Xiaobo Xia, Pengqian Lu, Chen Gong, Bo Han, Jun Yu, Jun Yu, Tongliang Liu

CoRR, 2023

CASSOR: Class-Aware Sample Selection for Ordinal Regression with Noisy Labels.

Yue Yuan, Sheng Wan, Chuang Zhang, Chen Gong

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach.

Zicheng Zhao, Linhao Luo, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style.

Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples.

Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distribution Shift Matters for Knowledge Distillation with Webly Collected Images.

Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization.

Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Class-Imbalanced Semi-Supervised Learning with Inverse Auxiliary Classifier.

Tiansong Jiang, Sheng Wan, Chen Gong

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning.

Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis

IEEE Trans. Neural Networks Learn. Syst., 2022

Feature Aggregation and Propagation Network for Camouflaged Object Detection.

Tao Zhou, Yi Zhou, Chen Gong, Jian Yang, Yu Zhang

IEEE Trans. Image Process., 2022

Edge-Aware Multiscale Feature Integration Network for Salient Object Detection in Optical Remote Sensing Images.

Xiaofei Zhou, Kunye Shen, Zhi Liu, Chen Gong, Jiyong Zhang, Chenggang Yan

IEEE Trans. Geosci. Remote. Sens., 2022

Dynamic Spectral-Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels.

Shengwei Zhong, Tao Zhou, Sheng Wan, Jian Yang, Chen Gong

IEEE Trans. Geosci. Remote. Sens., 2022

Dual Interactive Graph Convolutional Networks for Hyperspectral Image Classification.

Sheng Wan, Shirui Pan, Ping Zhong, Xiaojun Chang, Jian Yang, Chen Gong

IEEE Trans. Geosci. Remote. Sens., 2022

Laplacian Welsch Regularization for Robust Semisupervised Learning.

Jingchen Ke, Chen Gong, Tongliang Liu, Lin Zhao, Jian Yang, Dacheng Tao

IEEE Trans. Cybern., 2022

Enhanced Spatial-Temporal Salience for Cross-View Gait Recognition.

Tianhuan Huang, Xianye Ben, Chen Gong, Baochang Zhang, Rui Yan, Qiang Wu

IEEE Trans. Circuits Syst. Video Technol., 2022

Multi-level graph learning network for hyperspectral image classification.

Sheng Wan, Shirui Pan, Shengwei Zhong, Jie Yang, Jian Yang, Yibing Zhan, Chen Gong

Pattern Recognit., 2022

Centroid Estimation With Guaranteed Efficiency: A General Framework for Weakly Supervised Learning.

Chen Gong, Jian Yang, Jane You, Masashi Sugiyama

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation.

Chen Gong, Qizhou Wang, Tongliang Liu, Bo Han, Jane You, Jian Yang, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards harnessing feature embedding for robust learning with noisy labels.

Chuang Zhang, Li Shen, Jian Yang, Chen Gong

Mach. Learn., 2022

Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation.

Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Watermarking for Out-of-distribution Detection.

Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Contrastive Embedding in Low-Dimensional Space.

Shuo Chen, Chen Gong, Jun Li, Jian Yang, Gang Niu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Feature Integration-Based Training for Cross-Domain Hyperspectral Image Classification.

Cheng Zhang, Shengwei Zhong, Chen Gong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Understanding Robust Overfitting of Adversarial Training and Beyond.

Chaojian Yu, Bo Han, Li Shen, Jun Yu, Chen Gong, Mingming Gong, Tongliang Liu

Proceedings of the International Conference on Machine Learning, 2022

Class Activation Map Refinement via Semantic Affinity Exploration for Weakly Supervised Object Detection.

Zhendong Wang, Zhenyuan Chen, Chen Gong

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Unifying Graph Contrastive Learning with Flexible Contextual Scopes.

Yizhen Zheng, Yu Zheng, Xiaofei Zhou, Chen Gong, Vincent C. S. Lee, Shirui Pan

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

SAL: Selection and Attention Losses for Weakly Supervised Semantic Segmentation.

Lei Zhou, Chen Gong, Zhi Liu, Keren Fu

IEEE Trans. Multim., 2021

Estimating Human Pose Efficiently by Parallel Pyramid Networks.

Lin Zhao, Nannan Wang, Chen Gong, Jian Yang, Xinbo Gao

IEEE Trans. Image Process., 2021

SDOF-GAN: Symmetric Dense Optical Flow Estimation With Generative Adversarial Networks.

Tongtong Che, Yuanjie Zheng, Yunshuai Yang, Sujuan Hou, Weikuan Jia, Jie Yang, Chen Gong

IEEE Trans. Image Process., 2021

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network.

Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang

IEEE Trans. Geosci. Remote. Sens., 2021

δ-Norm-Based Robust Regression With Applications to Image Analysis.

Shuo Chen, Jian Yang, Yang Wei, Lei Luo, Gui-Fu Lu, Chen Gong

IEEE Trans. Cybern., 2021

Learning to Acquire the Quality of Human Pose Estimation.

Lin Zhao, Jie Xu, Chen Gong, Jian Yang, Wangmeng Zuo, Xinbo Gao

IEEE Trans. Circuits Syst. Video Technol., 2021

Loss Decomposition and Centroid Estimation for Positive and Unlabeled Learning.

Chen Gong, Hong Shi, Tongliang Liu, Chuang Zhang, Jian Yang, Dacheng Tao

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Cost-sensitive positive and unlabeled learning.

Xiuhua Chen, Chen Gong, Jian Yang

Inf. Sci., 2021

Reliable shot identification for complex event detection via visual-semantic embedding.

Minnan Luo, Xiaojun Chang, Chen Gong

Comput. Vis. Image Underst., 2021

KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation.

Chenhong Zhou, Feng Liu, Chen Gong, Tongliang Liu, Bo Han, William Kwok-Wai Cheung

CoRR, 2021

Probabilistic Margins for Instance Reweighting in Adversarial Training.

Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.

Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Universal Semi-Supervised Learning.

Zhuo Huang, Chao Xue, Bo Han, Jian Yang, Chen Gong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.

Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Large-Margin Contrastive Learning with Distance Polarization Regularizer.

Shuo Chen, Gang Niu, Chen Gong, Jun Li, Jian Yang, Masashi Sugiyama

Proceedings of the 38th International Conference on Machine Learning, 2021

Robust early-learning: Hindering the memorization of noisy labels.

Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang

Proceedings of the 9th International Conference on Learning Representations, 2021

Fraud Detection under Multi-Sourced Extremely Noisy Annotations.

Chuang Zhang, Qizhou Wang, Tengfei Liu, Xun Lu, Jin Hong, Bo Han, Chen Gong

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning with Group Noise.

Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model.

Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning.

Sheng Wan, Shirui Pan, Jian Yang, Chen Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Survey on Multi-Output Learning.

Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen

IEEE Trans. Neural Networks Learn. Syst., 2020

Harnessing Side Information for Classification Under Label Noise.

Yang Wei, Chen Gong, Shuo Chen, Tongliang Liu, Jian Yang, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2020

Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications.

Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic

IEEE Trans. Neural Networks Learn. Syst., 2020

Toward Making Unsupervised Graph Hashing Discriminative.

Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang, Wei Liu, Jie Yang

IEEE Trans. Multim., 2020

Low-Rank Matrix Recovery via Modified Schatten-p Norm Minimization With Convergence Guarantees.

Hengmin Zhang, Jianjun Qian, Bob Zhang, Jian Yang, Chen Gong, Yang Wei

IEEE Trans. Image Process., 2020

Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.

Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang

IEEE Trans. Geosci. Remote. Sens., 2020

Multiview Latent Space Learning With Feature Redundancy Minimization.

Tao Zhou, Changqing Zhang, Chen Gong, Harish Bhaskar, Jie Yang

IEEE Trans. Cybern., 2020

Multi-Manifold Positive and Unlabeled Learning for Visual Analysis.

Chen Gong, Hong Shi, Jie Yang, Jian Yang

IEEE Trans. Circuits Syst. Video Technol., 2020

Coupled Bilinear Discriminant Projection for Cross-View Gait Recognition.

Xianye Ben, Chen Gong, Peng Zhang, Rui Yan, Qiang Wu, Weixiao Meng

IEEE Trans. Circuits Syst. Video Technol., 2020

FC-RCCN: Fully convolutional residual continuous CRF network for semantic segmentation.

Lei Zhou, Xiangyong Kong, Chen Gong, Fan Zhang, Xiaoguo Zhang

Pattern Recognit. Lett., 2020

Multi-task learning for object keypoints detection and classification.

Jie Xu, Lin Zhao, Shanshan Zhang, Chen Gong, Jian Yang

Pattern Recognit. Lett., 2020

LPR-Net: Recognizing Chinese license plate in complex environments.

Di Wang, Yumin Tian, Wenhui Geng, Lin Zhao, Chen Gong

Pattern Recognit. Lett., 2020

Integrating prediction and reconstruction for anomaly detection.

Yao Tang, Lin Zhao, Shanshan Zhang, Chen Gong, Guangyu Li, Jian Yang

Pattern Recognit. Lett., 2020

Learning Data-adaptive Non-parametric Kernels.

Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li

J. Mach. Learn. Res., 2020

Attention-guided RGBD saliency detection using appearance information.

Xiaofei Zhou, Gongyang Li, Chen Gong, Zhi Liu, Jiyong Zhang

Image Vis. Comput., 2020

Perceiving heavily occluded human poses by assigning unbiased score.

Lin Zhao, Jie Xu, Shanshan Zhang, Chen Gong, Jian Yang, Xinbo Gao

Inf. Sci., 2020

They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning.

Zhuo Huang, Ying Tai, Chengjie Wang, Jian Yang, Chen Gong

CoRR, 2020

LID 2020: The Learning from Imperfect Data Challenge Results.

Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

CoRR, 2020

Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification.

Sheng Wan, Chen Gong, Shirui Pan, Jie Yang, Jian Yang

CoRR, 2020

Network Cooperation with Progressive Disambiguation for Partial Label Learning.

Yao Yao, Chen Gong, Jiehui Deng, Jian Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Graph-based motion prediction for abnormal action detection.

Yao Tang, Lin Zhao, Zhaoliang Yao, Chen Gong, Jian Yang

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Online Positive and Unlabeled Learning.

Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning.

Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery.

Yijing Luo, Bo Han, Chen Gong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks.

Jiehui Deng, Sheng Wan, Xiang Wang, Enmei Tu, Xiaolin Huang, Jie Yang, Chen Gong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation.

Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao, Fatih Porikli

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Efficient Reinforcement Learning based Charging Data Delivery Scheme in VANET-Enhanced Smart Grid.

Guangyu Li, Chen Gong, Lin Zhao, Jinsong Wu, Lila Boukhatem

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification.

Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning With Annotation of Various Degrees.

Joey Tianyi Zhou, Meng Fang, Hao Zhang, Chen Gong, Xi Peng, Zhiguo Cao, Rick Siow Mong Goh

IEEE Trans. Neural Networks Learn. Syst., 2019

Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization.

Hengmin Zhang, Chen Gong, Jianjun Qian, Bob Zhang, Chunyan Xu, Jian Yang

IEEE Trans. Neural Networks Learn. Syst., 2019

Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure.

Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Johan A. K. Suykens

IEEE Trans. Neural Networks Learn. Syst., 2019

Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning.

Chen Gong, Tongliang Liu, Jian Yang, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2019

Importance-Aware Semantic Segmentation for Autonomous Vehicles.

Bi-ke Chen, Chen Gong, Jian Yang

IEEE Trans. Intell. Transp. Syst., 2019

Multi-Modal Curriculum Learning over Graphs.

Chen Gong, Jian Yang, Dacheng Tao

ACM Trans. Intell. Syst. Technol., 2019

Coupled Patch Alignment for Matching Cross-View Gaits.

Xianye Ben, Chen Gong, Peng Zhang, Xitong Jia, Qiang Wu, Weixiao Meng

IEEE Trans. Image Process., 2019

LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization.

Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang

IEEE Trans. Cybern., 2019

Ensemble Teaching for Hybrid Label Propagation.

Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang

IEEE Trans. Cybern., 2019

Obstacle Detection by Fusing Point Clouds and Monocular Image.

Yang Wei, Jian Yang, Chen Gong, Shuo Chen, Jianjun Qian

Neural Process. Lett., 2019

Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification.

Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang

CoRR, 2019

FICAL: Focal Inter-Class Angular Loss for Image Classification.

Xinran Wei, Dongliang Chang, Jiyang Xie, Yixiao Zheng, Chen Gong, Chuang Zhang, Zhanyu Ma

Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Are Anchor Points Really Indispensable in Label-Noise Learning?

Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Curvilinear Distance Metric Learning.

Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Laplacian Welsch Regularization for Robust Semi-supervised Dictionary Learning.

Jingchen Ke, Chen Gong, Lin Zhao

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

Positive and Unlabeled Learning with Label Disambiguation.

Chuang Zhang, Dexin Ren, Tongliang Liu, Jian Yang, Chen Gong

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Inter-Class Angular Loss for Convolutional Neural Networks.

Le Hui, Xiang Li, Chen Gong, Meng Fang, Joey Tianyi Zhou, Jian Yang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Data-Adaptive Metric Learning with Scale Alignment.

Shuo Chen, Chen Gong, Jian Yang, Ying Tai, Le Hui, Jun Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Improving Video Saliency Detection via Localized Estimation and Spatiotemporal Refinement.

Xiaofei Zhou, Zhi Liu, Chen Gong, Wei Liu

IEEE Trans. Multim., 2018

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching.

Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao

IEEE Trans. Image Process., 2018

A Regularization Approach for Instance-Based Superset Label Learning.

Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, Dacheng Tao

IEEE Trans. Cybern., 2018

Inverse Nonnegative Local Coordinate Factorization for Visual Tracking.

Fanghui Liu, Tao Zhou, Chen Gong, Keren Fu, Li Bai, Jie Yang

IEEE Trans. Circuits Syst. Video Technol., 2018

Semi-supervised dictionary learning via local sparse constraints for violence detection.

Tao Zhang, Wenjing Jia, Chen Gong, Jun Sun, Xiaoning Song

Pattern Recognit. Lett., 2018

SHISS: Supervised hashing with informative set selection.

Chao Ma, Chen Gong, Yun Gu, Jie Yang, Deying Feng

Pattern Recognit. Lett., 2018

Saliency fusion via sparse and double low rank decomposition.

Junxia Li, Jian Yang, Chen Gong, Qingshan Liu

Pattern Recognit. Lett., 2018

Unsupervised Video Hashing via Deep Neural Network.

Chao Ma, Yun Gu, Chen Gong, Jie Yang, Deying Feng

Neural Process. Lett., 2018

Learning Data-adaptive Nonparametric Kernels.

Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li

CoRR, 2018

Learning-Based Multimedia Analyses and Applications.

Chen Gong, Zechao Li, Xiaojun Chang, Yong Luo

Adv. Multim., 2018

Video Saliency Detection Using Deep Convolutional Neural Networks.

Xiaofei Zhou, Zhi Liu, Chen Gong, Gongyang Li, Mengke Huang

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation.

Hong Shi, Shaojun Pan, Jian Yang, Chen Gong

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adversarial Metric Learning.

Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Teaching Semi-Supervised Classifier via Generalized Distillation.

Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Privileged Semi-Supervised Learning.

Xingyu Chen, Chen Gong, Chao Ma, Xiaolin Huang, Jie Yang

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Supervised Image Classification with Self-Paced Regularization.

Tao Zhang, Chen Gong, Wenjing Jia, Xiaoning Song, Jun Sun, Xiaojun Wu

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Nonlinear Pairwise Layer and Its Training for Kernel Learning.

Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Label Propagation via Teaching-to-Learn and Learning-to-Teach.

Chen Gong, Dacheng Tao, Wei Liu, Liu Liu, Jie Yang

IEEE Trans. Neural Networks Learn. Syst., 2017

Visual Tracking via Nonnegative Multiple Coding.

Fanghui Liu, Chen Gong, Tao Zhou, Keren Fu, Xiangjian He, Jie Yang

IEEE Trans. Multim., 2017

Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders.

Le Hui, Xiang Li, Jiaxin Chen, Hongliang He, Chen Gong, Jian Yang

CoRR, 2017

Importance-Aware Semantic Segmentation for Autonomous Driving System.

Bi-ke Chen, Chen Gong, Jian Yang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning with Inadequate and Incorrect Supervision.

Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Harnessing U-disparity in Point Clouds for Obstacle Detection.

Yang Wei, Chen Gong, Shuo Chen

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Robust graph transduction

Chen Gong

PhD thesis, 2016

Multi-Modal Curriculum Learning for Semi-Supervised Image Classification.

Chen Gong, Dacheng Tao, Stephen J. Maybank, Wei Liu, Guoliang Kang, Jie Yang

IEEE Trans. Image Process., 2016

Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction.

Keren Fu, Irene Y. H. Gu, Chen Gong, Jie Yang

Neurocomputing, 2016

Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization.

Long Lan, Dacheng Tao, Chen Gong, Naiyang Guan, Zhigang Luo

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation.

Chen Gong, Dacheng Tao, Jie Yang, Wei Liu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Fick's Law Assisted Propagation for Semisupervised Learning.

Chen Gong, Dacheng Tao, Keren Fu, Jie Yang

IEEE Trans. Neural Networks Learn. Syst., 2015

Deformed Graph Laplacian for Semisupervised Learning.

Chen Gong, Tongliang Liu, Dacheng Tao, Keren Fu, Enmei Tu, Jie Yang

IEEE Trans. Neural Networks Learn. Syst., 2015

Normalized Cut-Based Saliency Detection by Adaptive Multi-Level Region Merging.

Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang

IEEE Trans. Image Process., 2015

Scalable Semi-Supervised Classification via Neumann Series.

Chen Gong, Keren Fu, Lei Zhou, Jie Yang, Xiangjian He

Neural Process. Lett., 2015

Salient object detection using normalized cut and geodesics.

Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang, Pengfei Shi

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Multi-view implicit transfer for person re-identification.

Wei Xu, Yijun Li, Chen Gong, Jie Yang

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Saliency propagation from simple to difficult.

Chen Gong, Dacheng Tao, Wei Liu, Stephen J. Maybank, Meng Fang, Keren Fu, Jie Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

PageRank Tracker: From Ranking to Tracking.

Chen Gong, Keren Fu, Artur Loza, Qiang Wu, Jia Liu, Jie Yang

IEEE Trans. Cybern., 2014

Semi-supervised classification with pairwise constraints.

Chen Gong, Keren Fu, Qiang Wu, Enmei Tu, Jie Yang

Neurocomputing, 2014

Graph Construction for Salient Object Detection in Videos.

Keren Fu, Irene Y. H. Gu, Yixiao Yun, Chen Gong, Jie Yang

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Spectral salient object detection.

Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang, Xiangjian He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Pedestrian counting based on spatial and temporal analysis.

Zhongjie Yu, Chen Gong, Jie Yang, Li Bai

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Violent video detection based on MoSIFT feature and sparse coding.

Long Xu, Chen Gong, Jie Yang, Qiang Wu, Lixiu Yao

Proceedings of the IEEE International Conference on Acoustics, 2014

Effective small DIM target detection by local connectedness constraint.

Keren Fu, Kai Xie, Chen Gong, Irene Y. H. Gu, Jie Yang

Proceedings of the IEEE International Conference on Acoustics, 2014

Adaptive Multi-Level Region Merging for Salient Object Detection.

Keren Fu, Chen Gong, Yixiao Yun, Yijun Li, Irene Yu-Hua Gu, Jie Yang, Jingyi Yu

Proceedings of the British Machine Vision Conference, 2014

Signed Laplacian Embedding for Supervised Dimension Reduction.

Chen Gong, Dacheng Tao, Jie Yang, Keren Fu

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

ReLISH: Reliable Label Inference via Smoothness Hypothesis.

Chen Gong, Dacheng Tao, Keren Fu, Jie Yang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Superpixel based color contrast and color distribution driven salient object detection.

Keren Fu, Chen Gong, Jie Yang, Yue Zhou, Irene Yu-Hua Gu

Signal Process. Image Commun., 2013

Robust object tracking using linear neighborhood propagation.

Chen Gong, Keren Fu, Enmei Tu, Jie Yang, Xiangjian He

J. Electronic Imaging, 2013

One-class support vector machine-assisted robust tracking.

Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Yu-Hua Gu

J. Electronic Imaging, 2013

Salient Object Segmentation Based on Automatic Labeling.

Lei Zhou, Chen Gong, YiJun Li, Yu Qiao, Jie Yang, Nikola K. Kasabov

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Geodesic saliency propagation for image salient region detection.

Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

The Extended Co-learning Framework for Robust Object Tracking.

Chen Gong, Yang Liu, Tianyu Li, Jie Yang, Xiangjian He

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

One-Class SVM assisted accurate tracking.

Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Guy

Proceedings of the Sixth International Conference on Distributed Smart Cameras, 2012

Salient Object Detection via Color Contrast and Color Distribution.

Keren Fu, Chen Gong, Jie Yang, Yue Zhou

Proceedings of the Computer Vision - ACCV 2012, 2012