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ORCIDFeng Chen 0007
Person information
- affiliation (PhD 2000): Tsinghua University, Department of Automation, Center for Brain-Inspired Computing Research, Beijing, China
Other persons with the same name
- Feng Chen — disambiguation page
- Feng Chen 0001 — University of Texas at Dallas, TX, USA (and 2 more)
- Feng Chen 0002
![[0000-0002-7837-3232]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7837-3232")
— Northwest University, School of Information Science and Technology, Xi'an, China (and 1 more) - Feng Chen 0003 — University of Alberta, Canada
- Feng Chen 0004 — De Montfort University, Leicester, UK (and 1 more)
- Feng Chen 0005 — Louisiana State University, LA, USA
- Feng Chen 0006 — University of Illinois at Urbana-Champaign, USA
- Feng Chen 0008 — The University of New South Wales, Australia
- Feng Chen 0009 — Chinese Academy of Sciences, Beijing, China (and 1 more)
- Feng Chen 0010 — Politec. di Torino, Turin, Italy
- Feng Chen 0011 — University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA
- Feng Chen 0012 — Siemens AG, Germany (and 1 more)
- Feng Chen 0013 — Xidian University, Xi'an, China
- Feng Chen 0014 — Henan University of Technology, Zhengzhou, China (and 1 more)
- Feng Chen 0015 — National University of Defense Technology, Changsha, China
- Feng Chen 0016 — University of California, San Diego, La Jolla, CA, USA
- Feng Chen 0017 — The Hong Kong University of Science and Technology, China
- Feng Chen 0018 — University of California, Los Angeles, CA, USA
- Feng Chen 0019 (aka: Chris F. Chen) — City University of New York, Baruch College, Department of Mathematics, NY, USA
- Feng Chen 0020 — Shanghai Jiao Tong University, Sino-US Logistics Institute, China (and 2 more)
- Feng Chen 0021 — Peking University, School and Hospital of Stomatology, Beijing, China
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2020 – today
- 2020
[j37]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): 4261-4280 (2020)- [j36]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): 497-510 (2020) - [j35]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): 1347-1354 (2020) - [j34]Xin Su, Shangqi Guo, Tian Tan, Feng Chen:
Generative Memory for Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1884-1898 (2020) - [j33]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): 276-289 (2020) - [c17]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS 2020 - [i10]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR abs/2006.11485 (2020)
2010 – 2019
- 2019
- [j32]Qi Yan, Shangqi Guo, Dagui Chen, Zhile Yang, Feng Chen:
Transferable Environment Model With Disentangled Dynamics. IEEE Access 7: 106848-106860 (2019) - [j31]Ying Fang, Zhaofei Yu, Jian K. Liu, Feng Chen:
A unified neural circuit of causal inference and multisensory integration. Neurocomputing 358: 355-368 (2019) - [j30]Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen:
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Trans. Cybern. 49(1): 133-145 (2019) - [c16]Ying Fang, Zhaofei Yu, Feng Chen:
Noise helps optimization escape from saddle points in the neural dynamics. ESANN 2019 - [i9]Xin Su, Shangqi Guo, Feng Chen:
Subjectivity Learning Theory towards Artificial General Intelligence. CoRR abs/1909.03798 (2019) - 2018
- [j29]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): 1555-1563 (2018) - [j28]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): 5761-5766 (2018) - [c15]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 - [i8]Fei Deng, Jinsheng Ren, Feng Chen:
Abstraction Learning. CoRR abs/1809.03956 (2018) - [i7]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 abs/1811.02290 (2018) - 2017
- [j27]Zhaofei Yu, Feng Chen, Jianwu Dong:
Neural network implementation of inference on binary Markov random fields with probability coding. Appl. Math. Comput. 301: 193-200 (2017) - [c14]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: 548-557 - [i6]Liheng Bian, Jin-Li Suo, Qionghai Dai, Feng Chen:
Experimental comparison of single-pixel imaging algorithms. CoRR abs/1707.03164 (2017) - [i5]Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu:
Revealing structure components of the retina by deep learning networks. CoRR abs/1711.02837 (2017) - 2016
- [j26]Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai:
Sampling-based causal inference in cue combination and its neural implementation. Neurocomputing 175: 155-165 (2016) - [j25]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: 130-141 (2016) - [i4]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 abs/1603.04746 (2016) - [i3]Zhaofei Yu, David Kappel, Robert A. Legenstein, Sen Song, Feng Chen, Wolfgang Maass:
Hamiltonian synaptic sampling in a model for reward-gated network plasticity. CoRR abs/1606.00157 (2016) - 2015
- [j24]Feng Chen, Qiang Cheng, Jianwu Dong, Zhaofei Yu, Guojun Wang, Wenli Xu:
Efficient approximate linear programming for factored MDPs. Int. J. Approx. Reason. 63: 101-121 (2015) - [j23]Fu-Feng Lee, Feng Chen, Jing Liu:
Infrared Thermal Imaging System on a Mobile Phone. Sensors 15(5): 10166-10179 (2015) - [j22]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): 638-650 (2015) - [j21]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): 531-540 (2015) - [i2]Zhaofei Yu, Feng Chen, Jianwu Dong, Qionghai Dai:
Sampling-based Causal Inference in Cue Combination and its Neural Implementation. CoRR abs/1509.00998 (2015) - 2014
- [j20]Dingcheng Feng, Feng Chen, Wenli Xu:
Supervised feature subset selection with ordinal optimization. Knowl. Based Syst. 56: 123-140 (2014) - [c13]Xiangyu Wang, Feng Chen, Yu Liu:
Person Re-identification by Cascade-Iterative Ranking. CCPR (1) 2014: 335-344 - 2013
- [j19]Jianwu Dong, Feng Chen, Yanyan Huo, Hong Liu:
Decomposition and Approximation of Loopy Bayesian Networks. Fundam. Informaticae 125(2): 135-152 (2013) - [j18]Dingcheng Feng, Feng Chen, Wenli Xu:
Learning Deterministic Causal Relations. Int. J. Artif. Intell. Tools 22(3) (2013) - [j17]Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu:
Energy distribution view for monotonic dual decomposition. Int. J. Approx. Reason. 54(9): 1279-1299 (2013) - [j16]Jianwu Dong, Feng Chen, Qiang Cheng, Song Wang:
A new criterion for choosing planar subproblems in MAP-MRF inference. Neurocomputing 120: 453-460 (2013) - [j15]Dingcheng Feng, Feng Chen, Wenli Xu:
Learning linear non-Gaussian networks: A new view from matrix identification. J. Exp. Theor. Artif. Intell. 25(2): 251-271 (2013) - [j14]Youtian Du, Feng Chen, Wenli Xu, Xueming Qian:
Video content categorization using the double decomposition. Multim. Tools Appl. 66(3): 545-572 (2013) - [c12]Qiang Cheng, Qiang Liu, Feng Chen, Alexander T. Ihler:
Variational Planning for Graph-based MDPs. NIPS 2013: 2976-2984 - [i1]Liheng Bian, Jin-Li Suo, Feng Chen, Qionghai Dai:
Denoising High Speed Optical Coherence Tomography Data Using Inter-frame and Intra-frame Priors. CoRR abs/1312.1931 (2013) - 2012
- [j13]Qiang Cheng, Feng Chen, Wenli Xu, Song Wang:
Recursive sum-product algorithm for generalized outer-planar graphs. Inf. Process. Lett. 112(11): 449-456 (2012) - [j12]Dingcheng Feng, Feng Chen, Wenli Xu:
Learning robust principal components from L1-normmaximization. J. Zhejiang Univ. Sci. C 13(12): 901-908 (2012) - [j11]Qing Wang, Feng Chen, Jimei Yang, Wenli Xu, Ming-Hsuan Yang:
Transferring Visual Prior for Online Object Tracking. IEEE Trans. Image Process. 21(7): 3296-3305 (2012) - [j10]Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang:
Object Tracking via Partial Least Squares Analysis. IEEE Trans. Image Process. 21(10): 4454-4465 (2012) - [c11]Qiang Cheng, Feng Chen, Jianwu Dong, Wenli Xu, Alexander T. Ihler:
Approximating the Sum Operation for Marginal-MAP Inference. AAAI 2012 - [c10]Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang:
Online discriminative object tracking with local sparse representation. WACV 2012: 425-432 - 2011
- [j9]Dingcheng Feng, Feng Chen, Wenli Xu:
Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory. Fundam. Informaticae 107(4): 415-434 (2011) - [j8]Qing Wang, Feng Chen, Wenli Xu:
Adaptive multi-cue tracking by online appearance learning. Neurocomputing 74(6): 1035-1045 (2011) - [j7]Feng Chen, Qing Wang, Song Wang, Weidong Zhang, Wenli Xu:
Object tracking via appearance modeling and sparse representation. Image Vis. Comput. 29(11): 787-796 (2011) - [j6]Qing Wang, Feng Chen, Wenli Xu:
Tracking by Third-Order Tensor Representation. IEEE Trans. Syst. Man Cybern. Part B 41(2): 385-396 (2011) - 2010
- [j5]Weidong Zhang, Feng Chen, Wenli Xu:
Learning interactions among multi-channel sequences with dynamical influence models. Sci. China Inf. Sci. 53(7): 1336-1344 (2010) - [c9]Qing Wang, Feng Chen, Wenli Xu:
Saliency selection for robust visual tracking. ICIP 2010: 2785-2788 - [c8]Qing Wang, Feng Chen, Wenli Xu:
Visual tracking by appearance modeling and sparse representation. ICNC 2010: 1464-1468
2000 – 2009
- 2009
- [j4]Weidong Zhang, Feng Chen, Wenli Xu:
Hierarchical Control Models for Multimodal Process Modeling. IEEE Trans. Syst. Man Cybern. Part B 39(5): 1324-1329 (2009) - 2008
- [j3]Youtian Du, Feng Chen, Wenli Xu, Weidong Zhang:
Activity recognition through multi-scale motion detail analysis. Neurocomputing 71(16-18): 3561-3574 (2008) - [j2]Weidong Zhang, Feng Chen, Wenli Xu, Youtian Du:
Hierarchical group process representation in multi-agent activity recognition. Signal Process. Image Commun. 23(10): 739-753 (2008) - 2007
- [j1]Youtian Du, Feng Chen, Wenli Xu:
Human Interaction Representation and Recognition Through Motion Decomposition. IEEE Signal Process. Lett. 14(12): 952-955 (2007) - [c7]Enwei Zhang, Feng Chen:
A Fast and Robust People Counting Method in Video Surveillance. CIS 2007: 339-343 - [c6]Zisheng Cao, Feng Chen, Youtian Du:
Object Detection Using Geometrical Block Structures. ICNC (3) 2007: 561-565 - [c5]Weidong Zhang, Feng Chen, Wenli Xu, Zisheng Cao:
Decomposition in Hidden Markov Models for Activity Recognition. MCAM 2007: 232-241 - 2006
- [c4]Weidong Zhang, Feng Chen, Wenli Xu, Enwei Zhang:
Real-Time Video Intelligent Surveillance System. ICME 2006: 1021-1024 - [c3]Yongbin Li, Feng Chen, Wenli Xu, Youtian Du:
Gaussian-Based Codebook Model for Video Background Subtraction. ICNC (2) 2006: 762-765 - [c2]Youtian Du, Feng Chen, Wenli Xu, Yongbin Li:
Recognizing Interaction Activities using Dynamic Bayesian Network. ICPR (1) 2006: 618-621 - [c1]Youtian Du, Feng Chen, Wenli Xu, Weidong Zhang:
Interacting Activity Recognition Using Hierarchical Durational-State Dynamic Bayesian Network. PCM 2006: 185-192
Coauthor Index
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