Feng Chen

According to our database, Feng Chen authored at least 80 papers between 2006 and 2024.

Collaborative distances:

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

2024

Preserving Silent Features for Domain Generalization.

Chujie Zhao, Tianren Zhang, Feng Chen

CoRR, 2024

2023

Partial Consistency for Stabilizing Undiscounted Reinforcement Learning.

Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen

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

Adjacency Constraint for Efficient Hierarchical Reinforcement Learning.

Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen

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

MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning.

Yihan Li, Jinsheng Ren, Tianren Zhang, Ying Fang, Feng Chen

Knowl. Based Syst., 2023

Fast Counterfactual Inference for History-Based Reinforcement Learning.

Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Orientation-Preserving Rewards' Balancing in Reinforcement Learning.

Jinsheng Ren, Shangqi Guo, Feng Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks.

Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu

IEEE Trans. Cybern., 2022

State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric.

Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen

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

Learning Invariable Semantical Representation from Language for Extensible Policy Generalization.

Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen

CoRR, 2022

Transfering Hierarchical Structure with Dual Meta Imitation Learning.

Chongkai Gao, Yizhou Jiang, Feng Chen

CoRR, 2022

Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos.

Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen

Appl. Intell., 2022

Transferring Hierarchical Structures with Dual Meta Imitation Learning.

Chongkai Gao, Yizhou Jiang, Feng Chen

Proceedings of the Conference on Robot Learning, 2022

2021

Subjective Learning for Open-Ended Data.

Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen

CoRR, 2021

CRIL: Continual Robot Imitation Learning via Generative and Prediction Model.

Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Neural Hand Reconstruction Using A Single RGB Image.

Mengcheng Li, Liang An, Tao Yu, Yangang Wang, Feng Chen, Yebin Liu

Virtual Real. Intell. Hardw., 2020

Generative Memory for Lifelong Learning.

Xin Su, Shangqi Guo, Tian Tan, Feng Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All.

Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen

IEEE Trans. Cybern., 2020

Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks.

Zhaofei Yu, Feng Chen, Jian K. Liu

IEEE Trans. Cogn. Dev. Syst., 2020

Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video.

Pengfei Sun, Xin Su, Shangqi Guo, Feng Chen

Appl. Intell., 2020

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning.

Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning.

Haichuan Gao, Zhile Yang, Xin Su, Tian Tan, Feng Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Task Understanding from Confusing Multi-task Data.

Xin Su, Yizhou Jiang, Shangqi Guo, Feng Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Hierarchical Bayesian Inference and Learning in Spiking Neural Networks.

Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen

IEEE Trans. Cybern., 2019

A unified neural circuit of causal inference and multisensory integration.

Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen

Neurocomputing, 2019

Subjectivity Learning Theory towards Artificial General Intelligence.

Xin Su, Shangqi Guo, Feng Chen

CoRR, 2019

Transferable Environment Model With Disentangled Dynamics.

Qi Yan, Shangqi Guo, Dagui Chen, Zhile Yang, Feng Chen

IEEE Access, 2019

Noise helps optimization escape from saddle points in the neural dynamics.

Ying Fang, Zhaofei Yu, Feng Chen

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks.

Zhaofei Yu, Feng Chen, Fei Deng

IEEE Trans. Neural Networks Learn. Syst., 2018

Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor.

Fei Deng, Jianwu Dong, Xiangyu Wang, Ying Fang, Yu Liu, Zhaofei Yu, Jing Liu, Feng Chen

IEEE Trans. Instrum. Meas., 2018

Abstraction Learning.

Fei Deng, Jinsheng Ren, Feng Chen

CoRR, 2018

A Robust and Accurate Calibration Method for Out-of-focus Camera.

Xiaowei Hu, Guijin Wang, Jinnan Wang, Pengfei Sun, Jingtao Fan, Feng Chen, Yiyuan Xie

Proceedings of the Visual Information Processing and Communication IX, Burlingame, CA, USA, 28 January 2018, 2018

Learning to Instruct Learning.

Dagui Chen, Feng Chen

Proceedings of the International Symposium on Big Data and Artificial Intelligence, 2018

2017

Revealing structure components of the retina by deep learning networks.

Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu

CoRR, 2017

Experimental comparison of single-pixel imaging algorithms.

Liheng Bian, Jin-Li Suo, Qionghai Dai, Feng Chen

CoRR, 2017

Neural network implementation of inference on binary Markov random fields with probability coding.

Zhaofei Yu, Feng Chen, Jianwu Dong

Appl. Math. Comput., 2017

A Robust Static Sign Language Recognition System Based on Hand Key Points Estimation.

Pengfei Sun, Feng Chen, Guijin Wang, Jinsheng Ren, Jianwu Dong

Proceedings of the Intelligent Systems Design and Applications, 2017

2016

Signal-dependent noise removal for color videos using temporal and cross-channel priors.

Jin-Li Suo, Liheng Bian, Feng Chen, Qionghai Dai

J. Vis. Commun. Image Represent., 2016

Sampling-based causal inference in cue combination and its neural implementation.

Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai

Neurocomputing, 2016

Hamiltonian synaptic sampling in a model for reward-gated network plasticity.

Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass

CoRR, 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, Qionghai Dai

CoRR, 2016

Traffic Sign Detection with Convolutional Neural Networks.

Evan Peng, Feng Chen, Xinkai Song

Proceedings of the Cognitive Systems and Signal Processing, 2016

2015

Simultaneous Phase Unwrapping and Removal of Chemical Shift (SPURS) Using Graph Cuts: Application in Quantitative Susceptibility Mapping.

Jianwu Dong, Tian Liu, Feng Chen, Dong Zhou, Alexey Dimov, Ashish Raj, Qiang Cheng, Pascal Spincemaille, Yi Wang

IEEE Trans. Medical Imaging, 2015

Object Tracking With Joint Optimization of Representation and Classification.

Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang

IEEE Trans. Circuits Syst. Video Technol., 2015

Infrared Thermal Imaging System on a Mobile Phone.

Fu-Feng Lee, Feng Chen, Jing Liu

Sensors, 2015

Efficient approximate linear programming for factored MDPs.

Feng Chen, Qiang Cheng, Jianwu Dong, Zhaofei Yu, Guojun Wang, Wenli Xu

Int. J. Approx. Reason., 2015

2014

Supervised feature subset selection with ordinal optimization.

Dingcheng Feng, Feng Chen, Wenli Xu

Knowl. Based Syst., 2014

Person Re-identification by Cascade-Iterative Ranking.

Xiangyu Wang, Feng Chen, Yu Liu

Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

2013

Video content categorization using the double decomposition.

Youtian Du, Feng Chen, Wenli Xu, Xueming Qian

Multim. Tools Appl., 2013

Learning linear non-Gaussian networks: A new view from matrix identification.

Dingcheng Feng, Feng Chen, Wenli Xu

J. Exp. Theor. Artif. Intell., 2013

A new criterion for choosing planar subproblems in MAP-MRF inference.

Jianwu Dong, Feng Chen, Qiang Cheng, Song Wang

Neurocomputing, 2013

Energy distribution view for monotonic dual decomposition.

Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu

Int. J. Approx. Reason., 2013

Learning Deterministic Causal Relations.

Dingcheng Feng, Feng Chen, Wenli Xu

Int. J. Artif. Intell. Tools, 2013

Decomposition and Approximation of Loopy Bayesian Networks.

Jianwu Dong, Feng Chen, Yanyan Huo, Hong Liu

Fundam. Informaticae, 2013

Denoising High Speed Optical Coherence Tomography Data Using Inter-frame and Intra-frame Priors.

Liheng Bian, Jin-Li Suo, Feng Chen, Qionghai Dai

CoRR, 2013

Variational Planning for Graph-based MDPs.

Qiang Cheng, Qiang Liu, Feng Chen, Alexander Ihler

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Transferring Visual Prior for Online Object Tracking.

Qing Wang, Feng Chen, Jimei Yang, Wenli Xu, Ming-Hsuan Yang

IEEE Trans. Image Process., 2012

Object Tracking via Partial Least Squares Analysis.

Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang

IEEE Trans. Image Process., 2012

Learning robust principal components from L1-normmaximization.

Dingcheng Feng, Feng Chen, Wenli Xu

J. Zhejiang Univ. Sci. C, 2012

Recursive sum-product algorithm for generalized outer-planar graphs.

Qiang Cheng, Feng Chen, Wenli Xu, Song Wang

Inf. Process. Lett., 2012

Online discriminative object tracking with local sparse representation.

Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang

Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Approximating the Sum Operation for Marginal-MAP Inference.

Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu, Alexander Ihler

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Tracking by Third-Order Tensor Representation.

Qing Wang, Feng Chen, Wenli Xu

IEEE Trans. Syst. Man Cybern. Part B, 2011

Object tracking via appearance modeling and sparse representation.

Feng Chen, Qing Wang, Song Wang, Weidong Zhang, Wenli Xu

Image Vis. Comput., 2011

Adaptive multi-cue tracking by online appearance learning.

Qing Wang, Feng Chen, Wenli Xu

Neurocomputing, 2011

Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory.

Dingcheng Feng, Feng Chen, Wenli Xu

Fundam. Informaticae, 2011

2010

Learning interactions among multi-channel sequences with dynamical influence models.

Weidong Zhang, Feng Chen, Wenli Xu

Sci. China Inf. Sci., 2010

Visual tracking by appearance modeling and sparse representation.

Qing Wang, Feng Chen, Wenli Xu

Proceedings of the Sixth International Conference on Natural Computation, 2010

Saliency selection for robust visual tracking.

Qing Wang, Feng Chen, Wenli Xu

Proceedings of the International Conference on Image Processing, 2010

2009

Hierarchical Control Models for Multimodal Process Modeling.

Weidong Zhang, Feng Chen, Wenli Xu

IEEE Trans. Syst. Man Cybern. Part B, 2009

2008

Hierarchical group process representation in multi-agent activity recognition.

Weidong Zhang, Feng Chen, Wenli Xu, Youtian Du

Signal Process. Image Commun., 2008

Activity recognition through multi-scale motion detail analysis.

Youtian Du, Feng Chen, Wenli Xu, Weidong Zhang

Neurocomputing, 2008

Visual-Based Smoke Detection Using Support Vector Machine.

Jing Yang, Feng Chen, Weidong Zhang

Proceedings of the Fourth International Conference on Natural Computation, 2008

2007

Human Interaction Representation and Recognition Through Motion Decomposition.

Youtian Du, Feng Chen, Wenli Xu

IEEE Signal Process. Lett., 2007

Decomposition in Hidden Markov Models for Activity Recognition.

Weidong Zhang, Feng Chen, Wenli Xu, Zisheng Cao

Proceedings of the Multimedia Content Analysis and Mining, International Workshop, 2007

Object Detection Using Geometrical Block Structures.

Zisheng Cao, Feng Chen, Youtian Du

Proceedings of the Third International Conference on Natural Computation, 2007

A Fast and Robust People Counting Method in Video Surveillance.

Enwei Zhang, Feng Chen

Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006

Interacting Activity Recognition Using Hierarchical Durational-State Dynamic Bayesian Network.

Youtian Du, Feng Chen, Wenli Xu, Weidong Zhang

Proceedings of the Advances in Multimedia Information Processing, 2006

Recognizing Interaction Activities using Dynamic Bayesian Network.

Youtian Du, Feng Chen, Wenli Xu, Yongbin Li

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Gaussian-Based Codebook Model for Video Background Subtraction.

Yongbin Li, Feng Chen, Wenli Xu, Youtian Du

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Real-Time Video Intelligent Surveillance System.

Weidong Zhang, Feng Chen, Wenli Xu, Enwei Zhang

Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006