Feng Chen - RankMe

103 papers A* 8A 4B 2C 2Misc 3Journal 72Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Chain-of-Detection: Enhancing Cross-Granularity Robotic Perception for Object Manipulation. IEEE Trans. Neural Networks Learn. Syst. Tianrun Xu, Haichuan Gao, Changlin Chen, Yuxuan Li, Shiyuan Xu, Shangqi Guo, Feng Chen
2026	J	`jnl`	Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding. CoRR Guanyu Chen, Ruichen Wang, Tianren Zhang, Feng Chen
2026	J	`jnl`	Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding. Trans. Mach. Learn. Res. Guanyu Chen, Ruichen Wang, Tianren Zhang, Feng Chen
2025	J	`jnl`	Causal dreamer for partially observable model-based reinforcement learning. Neurocomputing Haichuan Gao, Tianrun Xu, Tianren Zhang, Yuqing Guo, Chujie Zhao, Jinsheng Ren, Yizhou Jiang, Shangqi Guo, Feng Chen
2025	J	`jnl`	DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning. CoRR Tianrun Xu, Haoda Jing, Ye Li, Yuquan Wei, Jun Feng, Guanyu Chen, Haichuan Gao, Tianren Zhang, Feng Chen
2025	—	`conf`	Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them. EMNLP (Findings) Guanyu Chen, Peiyang Wang, Yizhou Jiang, Yuqian Liu, Chujie Zhao, Ying Fang, Tianren Zhang, Feng Chen
2025	J	`jnl`	Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them. CoRR Guanyu Chen, Peiyang Wang, Tianren Zhang, Feng Chen
2025	J	`jnl`	Iterative compression towards in-distribution features in domain generalization. Neurocomputing Yizhou Jiang, Tianren Zhang, Yihan Li, Guanyu Chen, Feng Chen
2025	J	`jnl`	Multi-core token mixer: a novel approach for underwater image enhancement. Mach. Vis. Appl. Tianrun Xu, Shiyuan Xu, Xue Chen, Feng Chen, Hongjue Li
2025	A*	`conf`	When do neural networks learn world models? ICML Tianren Zhang, Guanyu Chen, Feng Chen
2025	J	`jnl`	When do neural networks learn world models? CoRR Tianren Zhang, Guanyu Chen, Feng Chen
2024	A*	`conf`	Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. ICML Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen
2024	J	`jnl`	Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize. CoRR Tianren Zhang, Chujie Zhao, Guanyu Chen, Yizhou Jiang, Feng Chen
2024	J	`jnl`	M Trans. Mach. Learn. Res. Chujie Zhao, Tianren Zhang, Guanyu Chen, Yizhou Jiang, Feng Chen
2024	J	`jnl`	Preserving Silent Features for Domain Generalization. CoRR Chujie Zhao, Tianren Zhang, Feng Chen
2024	A*	`conf`	Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers. ICLR Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen
2023	J	`jnl`	Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2023	A*	`conf`	Fast Counterfactual Inference for History-Based Reinforcement Learning. AAAI Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen
2023	J	`jnl`	MER: Modular Element Randomization for robust generalizable policy in deep reinforcement learning. Knowl. Based Syst. Yihan Li, Jinsheng Ren, Tianren Zhang, Ying Fang, Feng Chen
2023	J	`jnl`	Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Haichuan Gao, Zhile Yang, Tian Tan, Tianren Zhang, Jinsheng Ren, Pengfei Sun, Shangqi Guo, Feng Chen
2022	A*	`conf`	Interacting Attention Graph for Single Image Two-Hand Reconstruction. CVPR Mengcheng Li, Liang An, Hongwen Zhang, Lianpeng Wu, Feng Chen, Tao Yu, Yebin Liu
2022	J	`jnl`	Interacting Attention Graph for Single Image Two-Hand Reconstruction. CoRR Mengcheng Li, Liang An, Hongwen Zhang, Lianpeng Wu, Feng Chen, Tao Yu, Yebin Liu
2022	Misc	`conf`	Iterative Interactive Modeling for Knotting Plastic Bags. CoRL Chongkai Gao, Zekun Li, Haichuan Gao, Feng Chen
2022	J	`jnl`	Learning Invariable Semantical Representation from Language for Extensible Policy Generalization. CoRR Yihan Li, Jinsheng Ren, Tianrun Xu, Tianren Zhang, Haichuan Gao, Feng Chen
2022	J	`jnl`	Orientation-Preserving Rewards' Balancing in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Jinsheng Ren, Shangqi Guo, Feng Chen
2022	J	`jnl`	Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos. Appl. Intell. Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen
2022	J	`jnl`	Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
2022	J	`jnl`	State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. IEEE Trans. Pattern Anal. Mach. Intell. Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen
2022	J	`jnl`	Transfering Hierarchical Structure with Dual Meta Imitation Learning. CoRR Chongkai Gao, Yizhou Jiang, Feng Chen
2022	Misc	`conf`	Transferring Hierarchical Structures with Dual Meta Imitation Learning. CoRL Chongkai Gao, Yizhou Jiang, Feng Chen
2021	J	`jnl`	Adjacency constraint for efficient hierarchical reinforcement learning. CoRR Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2021	A	`conf`	CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. IROS Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
2021	J	`jnl`	CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. CoRR Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen
2021	J	`jnl`	Subjective Learning for Open-Ended Data. CoRR Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen
2020	A	`conf`	Adaptability Preserving Domain Decomposition for Stabilizing Sim2Real Reinforcement Learning. IROS Haichuan Gao, Zhile Yang, Xin Su, Tian Tan, Feng Chen
2020	J	`jnl`	Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video. Appl. Intell. Pengfei Sun, Xin Su, Shangqi Guo, Feng Chen
2020	J	`jnl`	Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE Trans. Cybern. Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, Feng Chen
2020	A*	`conf`	Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2020	J	`jnl`	Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2020	J	`jnl`	Generative Memory for Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. Xin Su, Shangqi Guo, Tian Tan, Feng Chen
2020	J	`jnl`	Neural Hand Reconstruction Using A Single RGB Image. Virtual Real. Intell. Hardw. Mengcheng Li, Liang An, Tao Yu, Yangang Wang, Feng Chen, Yebin Liu
2020	J	`jnl`	Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks. IEEE Trans. Cogn. Dev. Syst. Zhaofei Yu, Feng Chen, Jian K. Liu
2020	A*	`conf`	Task Understanding from Confusing Multi-task Data. ICML Xin Su, Yizhou Jiang, Shangqi Guo, Feng Chen
2019	J	`jnl`	A unified neural circuit of causal inference and multisensory integration. Neurocomputing Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen
2019	J	`jnl`	Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Trans. Cybern. Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen
2019	B	`conf`	Noise helps optimization escape from saddle points in the neural dynamics. ESANN Ying Fang, Zhaofei Yu, Feng Chen
2019	J	`jnl`	Subjectivity Learning Theory towards Artificial General Intelligence. CoRR Xin Su, Shangqi Guo, Feng Chen
2019	J	`jnl`	Transferable Environment Model With Disentangled Dynamics. IEEE Access Qi Yan, Shangqi Guo, Dagui Chen, Zhile Yang, Feng Chen
2018	—	`conf`	A Robust and Accurate Calibration Method for Out-of-focus Camera. Visual Information Processing and Communication Xiaowei Hu, Guijin Wang, Jinnan Wang, Pengfei Sun, Jingtao Fan, Feng Chen, Yiyuan Xie
2018	J	`jnl`	Abstraction Learning. CoRR Fei Deng, Jinsheng Ren, Feng Chen
2018	J	`jnl`	Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor. IEEE Trans. Instrum. Meas. Fei Deng, Jianwu Dong, Xiangyu Wang, Ying Fang, Yu Liu, Zhaofei Yu, Jing Liu, Feng Chen
2018	—	`conf`	Learning to Instruct Learning. ISBDAI Dagui Chen, Feng Chen
2018	J	`jnl`	Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks. CoRR Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu
2018	J	`jnl`	Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Zhaofei Yu, Feng Chen, Fei Deng
2017	C	`conf`	A Robust Static Sign Language Recognition System Based on Hand Key Points Estimation. ISDA Pengfei Sun, Feng Chen, Guijin Wang, Jinsheng Ren, Jianwu Dong
2017	J	`jnl`	Experimental comparison of single-pixel imaging algorithms. CoRR Liheng Bian, Jin-Li Suo, Qionghai Dai, Feng Chen
2017	J	`jnl`	Neural network implementation of inference on binary Markov random fields with probability coding. Appl. Math. Comput. Zhaofei Yu, Feng Chen, Jianwu Dong
2017	J	`jnl`	Revealing structure components of the retina by deep learning networks. CoRR Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu
2016	J	`jnl`	Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient. CoRR Liheng Bian, Jin-Li Suo, Jaebum Chung, Xiaoze Ou, Changhuei Yang, Feng Chen, Qionghai Dai
2016	J	`jnl`	Hamiltonian synaptic sampling in a model for reward-gated network plasticity. CoRR Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, Wolfgang Maass
2016	J	`jnl`	Sampling-based causal inference in cue combination and its neural implementation. Neurocomputing Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai
2016	J	`jnl`	Signal-dependent noise removal for color videos using temporal and cross-channel priors. J. Vis. Commun. Image Represent. Jin-Li Suo, Liheng Bian, Feng Chen, Qionghai Dai
2016	—	`conf`	Traffic Sign Detection with Convolutional Neural Networks. ICCSIP Evan Peng, Feng Chen, Xinkai Song
2015	J	`jnl`	Efficient approximate linear programming for factored MDPs. Int. J. Approx. Reason. Feng Chen, Qiang Cheng, Jianwu Dong, Zhaofei Yu, Guojun Wang, Wenli Xu
2015	J	`jnl`	Infrared Thermal Imaging System on a Mobile Phone. Sensors Fu-Feng Lee, Feng Chen, Jing Liu
2015	J	`jnl`	Object Tracking With Joint Optimization of Representation and Classification. IEEE Trans. Circuits Syst. Video Technol. Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
2015	J	`jnl`	Sampling-based Causal Inference in Cue Combination and its Neural Implementation. CoRR Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai
2015	J	`jnl`	Simultaneous Phase Unwrapping and Removal of Chemical Shift (SPURS) Using Graph Cuts: Application in Quantitative Susceptibility Mapping. IEEE Trans. Medical Imaging Jianwu Dong, Tian Liu, Feng Chen, Dong Zhou, Alexey Dimov, Ashish Raj, Qiang Cheng, Pascal Spincemaille, Yi Wang
2014	—	`conf`	Person Re-identification by Cascade-Iterative Ranking. CCPR (1) Xiangyu Wang, Feng Chen, Yu Liu
2014	J	`jnl`	Supervised feature subset selection with ordinal optimization. Knowl. Based Syst. Dingcheng Feng, Feng Chen, Wenli Xu
2013	J	`jnl`	A new criterion for choosing planar subproblems in MAP-MRF inference. Neurocomputing Jianwu Dong, Feng Chen, Qiang Cheng, Song Wang
2013	J	`jnl`	Decomposition and Approximation of Loopy Bayesian Networks. Fundam. Informaticae Jianwu Dong, Feng Chen, Yanyan Huo, Hong Liu
2013	J	`jnl`	Denoising High Speed Optical Coherence Tomography Data Using Inter-frame and Intra-frame Priors. CoRR Liheng Bian, Jin-Li Suo, Feng Chen, Qionghai Dai
2013	J	`jnl`	Energy distribution view for monotonic dual decomposition. Int. J. Approx. Reason. Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu
2013	J	`jnl`	Learning Deterministic Causal Relations. Int. J. Artif. Intell. Tools Dingcheng Feng, Feng Chen, Wenli Xu
2013	J	`jnl`	Learning linear non-Gaussian networks: A new view from matrix identification. J. Exp. Theor. Artif. Intell. Dingcheng Feng, Feng Chen, Wenli Xu
2013	—	`conf`	Variational Planning for Graph-based MDPs. NIPS Qiang Cheng, Qiang Liu, Feng Chen, Alexander Ihler
2013	J	`jnl`	Video content categorization using the double decomposition. Multim. Tools Appl. Youtian Du, Feng Chen, Wenli Xu, Xueming Qian
2012	A*	`conf`	Approximating the Sum Operation for Marginal-MAP Inference. AAAI Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu, Alexander Ihler
2012	J	`jnl`	Learning robust principal components from L1-normmaximization. J. Zhejiang Univ. Sci. C Dingcheng Feng, Feng Chen, Wenli Xu
2012	J	`jnl`	Object Tracking via Partial Least Squares Analysis. IEEE Trans. Image Process. Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
2012	A	`conf`	Online discriminative object tracking with local sparse representation. WACV Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
2012	J	`jnl`	Recursive sum-product algorithm for generalized outer-planar graphs. Inf. Process. Lett. Qiang Cheng, Feng Chen, Wenli Xu, Song Wang
2012	J	`jnl`	Transferring Visual Prior for Online Object Tracking. IEEE Trans. Image Process. Qing Wang, Feng Chen, Jimei Yang, Wenli Xu, Ming-Hsuan Yang
2011	J	`jnl`	Adaptive multi-cue tracking by online appearance learning. Neurocomputing Qing Wang, Feng Chen, Wenli Xu
2011	J	`jnl`	Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory. Fundam. Informaticae Dingcheng Feng, Feng Chen, Wenli Xu
2011	J	`jnl`	Object tracking via appearance modeling and sparse representation. Image Vis. Comput. Feng Chen, Qing Wang, Song Wang, Weidong Zhang, Wenli Xu
2011	J	`jnl`	Tracking by Third-Order Tensor Representation. IEEE Trans. Syst. Man Cybern. Part B Qing Wang, Feng Chen, Wenli Xu
2010	J	`jnl`	Learning interactions among multi-channel sequences with dynamical influence models. Sci. China Inf. Sci. Weidong Zhang, Feng Chen, Wenli Xu
2010	B	`conf`	Saliency selection for robust visual tracking. ICIP Qing Wang, Feng Chen, Wenli Xu
2010	Misc	`conf`	Visual tracking by appearance modeling and sparse representation. ICNC Qing Wang, Feng Chen, Wenli Xu
2009	J	`jnl`	Hierarchical Control Models for Multimodal Process Modeling. IEEE Trans. Syst. Man Cybern. Part B Weidong Zhang, Feng Chen, Wenli Xu
2008	J	`jnl`	Activity recognition through multi-scale motion detail analysis. Neurocomputing Youtian Du, Feng Chen, Wenli Xu, Weidong Zhang
2008	J	`jnl`	Hierarchical group process representation in multi-agent activity recognition. Signal Process. Image Commun. Weidong Zhang, Feng Chen, Wenli Xu, Youtian Du
2008	—	`conf`	Visual-Based Smoke Detection Using Support Vector Machine. ICNC (4) Jing Yang, Feng Chen, Weidong Zhang
2007	C	`conf`	A Fast and Robust People Counting Method in Video Surveillance. CIS Enwei Zhang, Feng Chen
2007	—	`conf`	Decomposition in Hidden Markov Models for Activity Recognition. MCAM Weidong Zhang, Feng Chen, Wenli Xu, Zisheng Cao
2007	J	`jnl`	Human Interaction Representation and Recognition Through Motion Decomposition. IEEE Signal Process. Lett. Youtian Du, Feng Chen, Wenli Xu
2007	—	`conf`	Object Detection Using Geometrical Block Structures. ICNC (3) Zisheng Cao, Feng Chen, Youtian Du
2006	—	`conf`	Gaussian-Based Codebook Model for Video Background Subtraction. ICNC (2) Yongbin Li, Feng Chen, Wenli Xu, Youtian Du
2006	—	`conf`	Interacting Activity Recognition Using Hierarchical Durational-State Dynamic Bayesian Network. PCM Youtian Du, Feng Chen, Wenli Xu, Weidong Zhang
2006	A	`conf`	Real-Time Video Intelligent Surveillance System. ICME Weidong Zhang, Feng Chen, Wenli Xu, Enwei Zhang
2006	—	`conf`	Recognizing Interaction Activities using Dynamic Bayesian Network. ICPR (1) Youtian Du, Feng Chen, Wenli Xu, Yongbin Li