Real-Time Video Intelligent Surveillance System. - Weidong Zhang; Feng Chen 007; Wenli Xu; Enwei Zhang (ICME, 2006)

Gaussian-Based Codebook Model for Video Background Subtraction. - Yongbin Li; Feng Chen 007; Wenli Xu; Youtian Du (ICNC (2), 2006)

Recognizing Interaction Activities using Dynamic Bayesian Network. - Youtian Du; Feng Chen 007; Wenli Xu; Yongbin Li (ICPR (1), 2006)

Interacting Activity Recognition Using Hierarchical Durational-State Dynamic Bayesian Network. - Youtian Du; Feng Chen 007; Wenli Xu; Weidong Zhang (PCM, 2006)

A Fast and Robust People Counting Method in Video Surveillance. - Enwei Zhang; Feng Chen 007 (CIS, 2007)

Object Detection Using Geometrical Block Structures. - Zisheng Cao; Feng Chen 007; Youtian Du (ICNC (3), 2007)

Decomposition in Hidden Markov Models for Activity Recognition. - Weidong Zhang; Feng Chen 007; Wenli Xu; Zisheng Cao (MCAM, 2007)

Human Interaction Representation and Recognition Through Motion Decomposition. - Youtian Du; Feng Chen 007; Wenli Xu (IEEE Signal Process. Lett., 2007)

Visual-Based Smoke Detection Using Support Vector Machine. - Jing Yang; Feng Chen 007; Weidong Zhang (ICNC (4), 2008)

Activity recognition through multi-scale motion detail analysis. - Youtian Du; Feng Chen 007; Wenli Xu; Weidong Zhang (Neurocomputing, 2008)

Hierarchical group process representation in multi-agent activity recognition. - Weidong Zhang; Feng Chen 007; Wenli Xu; Youtian Du (Signal Process. Image Commun., 2008)

Hierarchical Control Models for Multimodal Process Modeling. - Weidong Zhang; Feng Chen 007; Wenli Xu (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Saliency selection for robust visual tracking. - Qing Wang 017; Feng Chen 007; Wenli Xu (ICIP, 2010)

Visual tracking by appearance modeling and sparse representation. - Qing Wang 017; Feng Chen 007; Wenli Xu (ICNC, 2010)

Learning interactions among multi-channel sequences with dynamical influence models. - Weidong Zhang; Feng Chen 007; Wenli Xu (Sci. China Inf. Sci., 2010)

Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory. - Dingcheng Feng; Feng Chen 007; Wenli Xu (Fundam. Informaticae, 2011)

Adaptive multi-cue tracking by online appearance learning. - Qing Wang 017; Feng Chen 007; Wenli Xu (Neurocomputing, 2011)

Object tracking via appearance modeling and sparse representation. - Feng Chen 007; Qing Wang 017; Song Wang 002; Weidong Zhang; Wenli Xu (Image Vis. Comput., 2011)

Tracking by Third-Order Tensor Representation. - Qing Wang 017; Feng Chen 007; Wenli Xu (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Approximating the Sum Operation for Marginal-MAP Inference. - Qiang Cheng; Feng Chen 007; Jianwu Dong; Wenli Xu; Alexander Ihler (AAAI, 2012)

Online discriminative object tracking with local sparse representation. - Qing Wang 017; Feng Chen 007; Wenli Xu; Ming-Hsuan Yang 001 (WACV, 2012)

Recursive sum-product algorithm for generalized outer-planar graphs. - Qiang Cheng; Feng Chen 007; Wenli Xu; Song Wang 002 (Inf. Process. Lett., 2012)

Learning robust principal components from L1-normmaximization. - Dingcheng Feng; Feng Chen 007; Wenli Xu (J. Zhejiang Univ. Sci. C, 2012)

Object Tracking via Partial Least Squares Analysis. - Qing Wang 017; Feng Chen 007; Wenli Xu; Ming-Hsuan Yang 001 (IEEE Trans. Image Process., 2012)

Transferring Visual Prior for Online Object Tracking. - Qing Wang 017; Feng Chen 007; Jimei Yang; Wenli Xu; Ming-Hsuan Yang 001 (IEEE Trans. Image Process., 2012)

Variational Planning for Graph-based MDPs. - Qiang Cheng; Qiang Liu 001; Feng Chen 007; Alexander Ihler (NIPS, 2013)

Denoising High Speed Optical Coherence Tomography Data Using Inter-frame and Intra-frame Priors. - Liheng Bian; Jin-Li Suo; Feng Chen 007; Qionghai Dai (CoRR, 2013)

Decomposition and Approximation of Loopy Bayesian Networks. - Jianwu Dong; Feng Chen 007; Yanyan Huo; Hong Liu (Fundam. Informaticae, 2013)

Learning Deterministic Causal Relations. - Dingcheng Feng; Feng Chen 007; Wenli Xu (Int. J. Artif. Intell. Tools, 2013)

Energy distribution view for monotonic dual decomposition. - Qiang Cheng; Feng Chen 007; Jianwu Dong; Wenli Xu (Int. J. Approx. Reason., 2013)

A new criterion for choosing planar subproblems in MAP-MRF inference. - Jianwu Dong; Feng Chen 007; Qiang Cheng; Song Wang 002 (Neurocomputing, 2013)

Learning linear non-Gaussian networks: A new view from matrix identification. - Dingcheng Feng; Feng Chen 007; Wenli Xu (J. Exp. Theor. Artif. Intell., 2013)

Video content categorization using the double decomposition. - Youtian Du; Feng Chen 007; Wenli Xu; Xueming Qian (Multim. Tools Appl., 2013)

Person Re-identification by Cascade-Iterative Ranking. - Xiangyu Wang; Feng Chen 007; Yu Liu (CCPR (1), 2014)

Supervised feature subset selection with ordinal optimization. - Dingcheng Feng; Feng Chen 007; Wenli Xu (Knowl. Based Syst., 2014)

Efficient approximate linear programming for factored MDPs. - Feng Chen 007; Qiang Cheng; Jianwu Dong; Zhaofei Yu; Guojun Wang; Wenli Xu (Int. J. Approx. Reason., 2015)

Infrared Thermal Imaging System on a Mobile Phone. - Fu-Feng Lee; Feng Chen 007; Jing Liu 014 (Sensors, 2015)

Object Tracking With Joint Optimization of Representation and Classification. - Qing Wang 017; Feng Chen 007; Wenli Xu; Ming-Hsuan Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2015)

Simultaneous Phase Unwrapping and Removal of Chemical Shift (SPURS) Using Graph Cuts: Application in Quantitative Susceptibility Mapping. - Jianwu Dong; Tian Liu; Feng Chen 007; Dong Zhou; Alexey Dimov; Ashish Raj; Qiang Cheng; Pascal Spincemaille; Yi Wang 028 (IEEE Trans. Medical Imaging, 2015)

Traffic Sign Detection with Convolutional Neural Networks. - Evan Peng; Feng Chen 007; Xinkai Song (ICCSIP, 2016)

Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient. - Liheng Bian; Jin-Li Suo; Jaebum Chung; Xiaoze Ou; Changhuei Yang; Feng Chen 007; Qionghai Dai (CoRR, 2016)

Hamiltonian synaptic sampling in a model for reward-gated network plasticity. - Zhaofei Yu; David Kappel; Robert Legenstein; Sen Song; Feng Chen 007; Wolfgang Maass 001 (CoRR, 2016)

Sampling-based causal inference in cue combination and its neural implementation. - Zhaofei Yu; Feng Chen 007; Jianwu Dong; Qionghai Dai (Neurocomputing, 2016)

Signal-dependent noise removal for color videos using temporal and cross-channel priors. - Jin-Li Suo; Liheng Bian; Feng Chen 007; Qionghai Dai (J. Vis. Commun. Image Represent., 2016)

A Robust Static Sign Language Recognition System Based on Hand Key Points Estimation. - Pengfei Sun; Feng Chen 007; Guijin Wang; Jinsheng Ren; Jianwu Dong (ISDA, 2017)

Neural network implementation of inference on binary Markov random fields with probability coding. - Zhaofei Yu; Feng Chen 007; Jianwu Dong (Appl. Math. Comput., 2017)

Experimental comparison of single-pixel imaging algorithms. - Liheng Bian; Jin-Li Suo; Qionghai Dai; Feng Chen 007 (CoRR, 2017)

Revealing structure components of the retina by deep learning networks. - Qi Yan 005; Zhaofei Yu; Feng Chen 007; Jian K. Liu (CoRR, 2017)

Learning to Instruct Learning. - Dagui Chen; Feng Chen 007 (ISBDAI, 2018)

A Robust and Accurate Calibration Method for Out-of-focus Camera. - Xiaowei Hu 004; Guijin Wang; Jinnan Wang; Pengfei Sun; Jingtao Fan; Feng Chen 007; Yiyuan Xie (Visual Information Processing and Communication, 2018)

Abstraction Learning. - Fei Deng 001; Jinsheng Ren; Feng Chen 007 (CoRR, 2018)

Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor. - Fei Deng 001; Jianwu Dong; Xiangyu Wang; Ying Fang; Yu Liu; Zhaofei Yu; Jing Liu 014; Feng Chen 007 (IEEE Trans. Instrum. Meas., 2018)

Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks. - Zhaofei Yu; Feng Chen 007; Fei Deng 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Noise helps optimization escape from saddle points in the neural dynamics. - Ying Fang; Zhaofei Yu; Feng Chen 007 (ESANN, 2019)

Transferable Environment Model With Disentangled Dynamics. - Qi Yan 005; Shangqi Guo; Dagui Chen; Zhile Yang; Feng Chen 007 (IEEE Access, 2019)

Subjectivity Learning Theory towards Artificial General Intelligence. - Xin Su; Shangqi Guo; Feng Chen 007 (CoRR, 2019)

A unified neural circuit of causal inference and multisensory integration. - Ying Fang; Zhaofei Yu; Jian K. Liu; Feng Chen 007 (Neurocomputing, 2019)

Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. - Shangqi Guo; Zhaofei Yu; Fei Deng 001; Xiaolin Hu 001; Feng Chen 007 (IEEE Trans. Cybern., 2019)

Task Understanding from Confusing Multi-task Data. - Xin Su; Yizhou Jiang; Shangqi Guo; Feng Chen 007 (ICML, 2020)

Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning. - Haichuan Gao; Zhile Yang; Xin Su; Tian Tan 003; Feng Chen 007 (IROS, 2020)

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. - Tianren Zhang; Shangqi Guo; Tian Tan 003; Xiaolin Hu 001; Feng Chen 007 (NeurIPS, 2020)

Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video. - Pengfei Sun; Xin Su; Shangqi Guo; Feng Chen 007 (Appl. Intell., 2020)

Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks. - Zhaofei Yu; Feng Chen 007; Jian K. Liu (IEEE Trans. Cogn. Dev. Syst., 2020)

Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. - Zhaofei Yu; Shangqi Guo; Fei Deng 001; Qi Yan 005; Keke Huang; Jian K. Liu; Feng Chen 007 (IEEE Trans. Cybern., 2020)

Generative Memory for Lifelong Learning. - Xin Su; Shangqi Guo; Tian Tan 003; Feng Chen 007 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Neural Hand Reconstruction Using A Single RGB Image. - Mengcheng Li; Liang An 001; Tao Yu 007; Yangang Wang; Feng Chen 007; Yebin Liu (Virtual Real. Intell. Hardw., 2020)

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. - Chongkai Gao; Haichuan Gao; Shangqi Guo; Tianren Zhang; Feng Chen 007 (IROS, 2021)

Subjective Learning for Open-Ended Data. - Tianren Zhang; Yizhou Jiang; Xin Su; Shangqi Guo; Feng Chen 007 (CoRR, 2021)

Transferring Hierarchical Structures with Dual Meta Imitation Learning. - Chongkai Gao; Yizhou Jiang; Feng Chen 007 (CoRL, 2022)

Interacting Attention Graph for Single Image Two-Hand Reconstruction. - Mengcheng Li; Liang An 001; Hongwen Zhang 001; Lianpeng Wu; Feng Chen 007; Tao Yu 007; Yebin Liu (CVPR, 2022)

Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos. - Pengfei Sun; Zhile Yang; Tianren Zhang; Shangqi Guo; Feng Chen 007 (Appl. Intell., 2022)

Transfering Hierarchical Structure with Dual Meta Imitation Learning. - Chongkai Gao; Yizhou Jiang; Feng Chen 007 (CoRR, 2022)

Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. - Yihan Li; Jinsheng Ren; Tianrun Xu; Tianren Zhang; Haichuan Gao; Feng Chen 007 (CoRR, 2022)

State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. - Shangqi Guo; Qi Yan 005; Xin Su; Xiaolin Hu 001; Feng Chen 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. - Qi Yan 005; Yajing Zheng; Shanshan Jia 001; Yichen Zhang 002; Zhaofei Yu; Feng Chen 007; Yonghong Tian 001; Tiejun Huang 001; Jian K. Liu (IEEE Trans. Cybern., 2022)

Orientation-Preserving Rewards' Balancing in Reinforcement Learning. - Jinsheng Ren; Shangqi Guo; Feng Chen 007 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Fast Counterfactual Inference for History-Based Reinforcement Learning. - Haichuan Gao; Tianren Zhang; Zhile Yang; Yuqing Guo; Jinsheng Ren; Shangqi Guo; Feng Chen 007 (AAAI, 2023)

MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning. - Yihan Li; Jinsheng Ren; Tianren Zhang; Ying Fang; Feng Chen 007 (Knowl. Based Syst., 2023)

Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. - Tianren Zhang; Shangqi Guo; Tian Tan 003; Xiaolin Hu 001; Feng Chen 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. - Haichuan Gao; Zhile Yang; Tian Tan 003; Tianren Zhang; Jinsheng Ren; Pengfei Sun; Shangqi Guo; Feng Chen 007 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers. - Yizhou Jiang; Kunlin Hu; Tianren Zhang; Haichuan Gao; Yuqian Liu; Ying Fang; Feng Chen 007 (ICLR, 2024)

Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. - Tianren Zhang; Chujie Zhao; Guanyu Chen; Yizhou Jiang; Feng Chen 007 (ICML, 2024)

Preserving Silent Features for Domain Generalization. - Chujie Zhao; Tianren Zhang; Feng Chen 007 (CoRR, 2024)

M3PL: Identifying and Exploiting View Bias of Prompt Learning. - Chujie Zhao; Tianren Zhang; Guanyu Chen; Yizhou Jiang; Feng Chen 007 (Trans. Mach. Learn. Res., 2024)

Causal dreamer for partially observable model-based reinforcement learning. - Haichuan Gao; Tianrun Xu; Tianren Zhang; Yuqing Guo; Chujie Zhao; Jinsheng Ren; Yizhou Jiang; Shangqi Guo; Feng Chen 007 (Neurocomputing, 2025)

Iterative compression towards in-distribution features in domain generalization. - Yizhou Jiang; Tianren Zhang; Yihan Li; Guanyu Chen; Feng Chen 007 (Neurocomputing, 2025)

When do neural networks learn world models? - Tianren Zhang; Guanyu Chen; Feng Chen 007 (CoRR, 2025)

Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them. - Guanyu Chen; Peiyang Wang; Tianren Zhang; Feng Chen 007 (CoRR, 2025)