Feng Chen

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 46

Top Topics

Hierarchical Structure

Infrared Camera

Reinforcement Learning

Causal Inference

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

Publications

Chujie Zhao, Tianren Zhang, Feng Chen
Preserving Silent Features for Domain Generalization. CoRR (2024)
Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers. ICLR (2024)
Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. CoRR (2024)
Yihan Li, Jinsheng Ren, Tianren Zhang, Ying Fang, Feng Chen
MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning. Knowl. Based Syst. 273 (2023)
Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen
Fast Counterfactual Inference for History-Based Reinforcement Learning. AAAI (2023)
Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen
Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. CoRR (2022)
Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos. Appl. Intell. 52 (4) (2022)
Chongkai Gao, Yizhou Jiang, Feng Chen
Transferring Hierarchical Structures with Dual Meta Imitation Learning. CoRL (2022)
Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. 52 (1) (2022)
Chongkai Gao, Yizhou Jiang, Feng Chen
Transfering Hierarchical Structure with Dual Meta Imitation Learning. CoRR (2022)
Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen
State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Jinsheng Ren, Shangqi Guo, Feng Chen
Orientation-Preserving Rewards' Balancing in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. IROS (2021)
Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. CoRR (2021)
Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen
Subjective Learning for Open-Ended Data. CoRR (2021)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Adjacency constraint for efficient hierarchical reinforcement learning. CoRR (2021)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS (2020)
Xin Su, Yizhou Jiang, Shangqi Guo, Feng Chen
Task Understanding from Confusing Multi-task Data. ICML (2020)
Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE Trans. Cybern. 50 (3) (2020)
Xin Su, Shangqi Guo, Tian Tan, Feng Chen
Generative Memory for Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Pengfei Sun, Xin Su, Shangqi Guo, Feng Chen
Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video. Appl. Intell. 50 (12) (2020)
Mengcheng Li, Liang An, Tao Yu, Yangang Wang, Feng Chen, Yebin Liu
Neural Hand Reconstruction Using A Single RGB Image. Virtual Real. Intell. Hardw. 2 (3) (2020)
Zhaofei Yu, Feng Chen, Jian K. Liu
Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks. IEEE Trans. Cogn. Dev. Syst. 12 (3) (2020)
Haichuan Gao, Zhile Yang, Xin Su, Tian Tan, Feng Chen
Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning. IROS (2020)
Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR (2020)
Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen
A unified neural circuit of causal inference and multisensory integration. Neurocomputing 358 (2019)
Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Trans. Cybern. 49 (1) (2019)
Qi Yan, Shangqi Guo, Dagui Chen, Zhile Yang, Feng Chen
Transferable Environment Model With Disentangled Dynamics. IEEE Access 7 (2019)
Ying Fang, Zhaofei Yu, Feng Chen
Noise helps optimization escape from saddle points in the neural dynamics. ESANN (2019)
Xin Su, Shangqi Guo, Feng Chen
Subjectivity Learning Theory towards Artificial General Intelligence. CoRR (2019)
Fei Deng, Jianwu Dong, Xiangyu Wang, Ying Fang, Yu Liu, Zhaofei Yu, Jing Liu, Feng Chen
Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor. IEEE Trans. Instrum. Meas. 67 (7) (2018)
Dagui Chen, Feng Chen
Learning to Instruct Learning. ISBDAI (2018)
Xiaowei Hu, Guijin Wang, Jinnan Wang, Pengfei Sun, Jingtao Fan, Feng Chen, Yiyuan Xie
A Robust and Accurate Calibration Method for Out-of-focus Camera. Visual Information Processing and Communication (2018)
Fei Deng, Jinsheng Ren, Feng Chen
Abstraction Learning. CoRR (2018)
Zhaofei Yu, Feng Chen, Fei Deng
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks. CoRR (2018)
Zhaofei Yu, Feng Chen, Jianwu Dong
Neural network implementation of inference on binary Markov random fields with probability coding. Appl. Math. Comput. 301 (2017)
Pengfei Sun, Feng Chen, Guijin Wang, Jinsheng Ren, Jianwu Dong
A Robust Static Sign Language Recognition System Based on Hand Key Points Estimation. ISDA (2017)
Liheng Bian, Jin-Li Suo, Qionghai Dai, Feng Chen
Experimental comparison of single-pixel imaging algorithms. CoRR (2017)
Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu
Revealing structure components of the retina by deep learning networks. CoRR (2017)
Liheng Bian, Jin-Li Suo, Jaebum Chung, Xiaoze Ou, Changhuei Yang, Feng Chen, Qionghai Dai
Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient. CoRR (2016)
Jin-Li Suo, Liheng Bian, Feng Chen, Qionghai Dai
Signal-dependent noise removal for color videos using temporal and cross-channel priors. J. Vis. Commun. Image Represent. 36 (2016)
Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass
Hamiltonian synaptic sampling in a model for reward-gated network plasticity. CoRR (2016)
Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai
Sampling-based causal inference in cue combination and its neural implementation. Neurocomputing 175 (2016)
Fu-Feng Lee, Feng Chen, Jing Liu
Infrared Thermal Imaging System on a Mobile Phone. Sensors 15 (5) (2015)
Feng Chen, Qiang Cheng, Jianwu Dong, Zhaofei Yu, Guojun Wang, Wenli Xu
Efficient approximate linear programming for factored MDPs. Int. J. Approx. Reason. 63 (2015)
Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai
Sampling-based Causal Inference in Cue Combination and its Neural Implementation. CoRR (2015)
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
Object Tracking With Joint Optimization of Representation and Classification. IEEE Trans. Circuits Syst. Video Technol. 25 (4) (2015)
Jianwu Dong, Tian Liu, Feng Chen, Dong Zhou, Alexey Dimov, Ashish Raj, Qiang Cheng, Pascal Spincemaille, Yi Wang
Simultaneous Phase Unwrapping and Removal of Chemical Shift (SPURS) Using Graph Cuts: Application in Quantitative Susceptibility Mapping. IEEE Trans. Medical Imaging 34 (2) (2015)
Dingcheng Feng, Feng Chen, Wenli Xu
Supervised feature subset selection with ordinal optimization. Knowl. Based Syst. 56 (2014)
Xiangyu Wang, Feng Chen, Yu Liu
Person Re-identification by Cascade-Iterative Ranking. CCPR (1) (2014)
Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu
Energy distribution view for monotonic dual decomposition. Int. J. Approx. Reason. 54 (9) (2013)
Liheng Bian, Jin-Li Suo, Feng Chen, Qionghai Dai
Denoising High Speed Optical Coherence Tomography Data Using Inter-frame and Intra-frame Priors. CoRR (2013)
Jianwu Dong, Feng Chen, Qiang Cheng, Song Wang
A new criterion for choosing planar subproblems in MAP-MRF inference. Neurocomputing 120 (2013)
Qiang Cheng, Qiang Liu, Feng Chen, Alexander T. Ihler
Variational Planning for Graph-based MDPs. NIPS (2013)
Jianwu Dong, Feng Chen, Yanyan Huo, Hong Liu
Decomposition and Approximation of Loopy Bayesian Networks. Fundam. Informaticae 125 (2) (2013)
Dingcheng Feng, Feng Chen, Wenli Xu
Learning Deterministic Causal Relations. Int. J. Artif. Intell. Tools 22 (3) (2013)
Dingcheng Feng, Feng Chen, Wenli Xu
Learning linear non-Gaussian networks: A new view from matrix identification. J. Exp. Theor. Artif. Intell. 25 (2) (2013)
Youtian Du, Feng Chen, Wenli Xu, Xueming Qian
Video content categorization using the double decomposition. Multim. Tools Appl. 66 (3) (2013)
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
Online discriminative object tracking with local sparse representation. WACV (2012)
Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu, Alexander T. Ihler
Approximating the Sum Operation for Marginal-MAP Inference. AAAI (2012)
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
Object Tracking via Partial Least Squares Analysis. IEEE Trans. Image Process. 21 (10) (2012)
Dingcheng Feng, Feng Chen, Wenli Xu
Learning robust principal components from L1-normmaximization. J. Zhejiang Univ. Sci. C 13 (12) (2012)
Qing Wang, Feng Chen, Jimei Yang, Wenli Xu, Ming-Hsuan Yang
Transferring Visual Prior for Online Object Tracking. IEEE Trans. Image Process. 21 (7) (2012)
Qiang Cheng, Feng Chen, Wenli Xu, Song Wang
Recursive sum-product algorithm for generalized outer-planar graphs. Inf. Process. Lett. 112 (11) (2012)
Dingcheng Feng, Feng Chen, Wenli Xu
Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory. Fundam. Informaticae 107 (4) (2011)
Feng Chen, Qing Wang, Song Wang, Weidong Zhang, Wenli Xu
Object tracking via appearance modeling and sparse representation. Image Vis. Comput. 29 (11) (2011)
Qing Wang, Feng Chen, Wenli Xu
Adaptive multi-cue tracking by online appearance learning. Neurocomputing 74 (6) (2011)
Qing Wang, Feng Chen, Wenli Xu
Tracking by Third-Order Tensor Representation. IEEE Trans. Syst. Man Cybern. Part B 41 (2) (2011)
Weidong Zhang, Feng Chen, Wenli Xu
Learning interactions among multi-channel sequences with dynamical influence models. Sci. China Inf. Sci. 53 (7) (2010)
Qing Wang, Feng Chen, Wenli Xu
Saliency selection for robust visual tracking. ICIP (2010)
Qing Wang, Feng Chen, Wenli Xu
Visual tracking by appearance modeling and sparse representation. ICNC (2010)
Weidong Zhang, Feng Chen, Wenli Xu
Hierarchical Control Models for Multimodal Process Modeling. IEEE Trans. Syst. Man Cybern. Part B 39 (5) (2009)
Weidong Zhang, Feng Chen, Wenli Xu, Youtian Du
Hierarchical group process representation in multi-agent activity recognition. Signal Process. Image Commun. 23 (10) (2008)
Jing Yang, Feng Chen, Weidong Zhang
Visual-Based Smoke Detection Using Support Vector Machine. ICNC (4) (2008)
Youtian Du, Feng Chen, Wenli Xu, Weidong Zhang
Activity recognition through multi-scale motion detail analysis. Neurocomputing 71 (16-18) (2008)
Youtian Du, Feng Chen, Wenli Xu
Human Interaction Representation and Recognition Through Motion Decomposition. IEEE Signal Process. Lett. 14 (12) (2007)
Weidong Zhang, Feng Chen, Wenli Xu, Zisheng Cao
Decomposition in Hidden Markov Models for Activity Recognition. MCAM (2007)
Zisheng Cao, Feng Chen, Youtian Du
Object Detection Using Geometrical Block Structures. ICNC (3) (2007)
Enwei Zhang, Feng Chen
A Fast and Robust People Counting Method in Video Surveillance. CIS (2007)
Weidong Zhang, Feng Chen, Wenli Xu, Enwei Zhang
Real-Time Video Intelligent Surveillance System. ICME (2006)
Youtian Du, Feng Chen, Wenli Xu, Weidong Zhang
Interacting Activity Recognition Using Hierarchical Durational-State Dynamic Bayesian Network. PCM (2006)
Yongbin Li, Feng Chen, Wenli Xu, Youtian Du
Gaussian-Based Codebook Model for Video Background Subtraction. ICNC (2) (2006)
Youtian Du, Feng Chen, Wenli Xu, Yongbin Li
Recognizing Interaction Activities using Dynamic Bayesian Network. ICPR (1) (2006)