陈峰 - 清华大学 - 自动化系

个人简介

教育背景 1989年11月-1994年6月俄罗斯圣彼得堡国立技术大学自动控制系自动控制专业学习，获学士学位 1994年6月-1996年6月俄罗斯圣彼得堡国立技术大学自动控制系自动控制和电力拖动专业学习，获硕士学位 1996年9月-2000年4月清华大学自动化系控制理论与控制工程专业学习，获博士学位工作履历 2000年4月-2003年12月清华大学自动化系，讲师 2003年2月-2011年12月清华大学自动化系，副教授 2009年2月-2009年9月美国Carnegie Mellon大学（CMU），访问学者 2011年12月-至今清华大学自动化系，教授学术兼职中国自动化学会智能自动化专业委员会委员奖励与荣誉 2008 年度“基于网络融合的流媒体服务新技术”获国家科学技术发明奖二等奖 2013年度“大规模智能视频监控新技术及应用”获北京市科学技术奖二等奖 2011年“立体视频获取与重建技术及装置”获教育部技术发明一等奖 2010年“视频监控实时行为分析关键技术及应用”获中国电子学会电子信息科学与技术三等奖

研究领域

类脑计算,机器学习,概率图模型,计算机视觉,视频分析

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Zhaofei Yu, Feng Chen*, et al. Emergent Inference of Hidden Markov Models in Spiking Neural Networks through Winner-Take-All. IEEE Transactions on Cybernetics, 50(3),1347-1354,2020. Fang Ying, Feng Chen*, et al. Noise helps optimization escape from saddle points in the synaptic plasticity. Frontiers in Neuroscience, 2020. (accepted) Zhaofei Yu, Feng Chen*, et al. Sampling-Tree Model: Efficient Implementation of Distributed Bayesian Inference in Neural Networks. IEEE Transactions on Cognitive and Developmental Systems. 2019. (accepted) Su, Xin, Feng Chen*, et al. Generative Memory for Lifelong Learning, IEEE transactions on neural networks and learning systems, 2019. (accepted) Fang, Ying, Feng Chen*, et al. A unified neural circuit of causal inference and multisensory integration. Neurocomputing, 358: 355-368, 2019. Yan ,Qi, Chen Feng*, et al. Transferable Environment Model With Disentangled Dynamics. IEEE Access, 7:106848-106860,2019. Chen, Dagui, Chen Feng*, et al. Learning Effective Subgoals with Multi-Task Hierarchical Reinforcement Learning. Workshops on International Joint Conference on Artificial Intelligence, 2019. Fang ,Ying, Feng Chen*, et al. Noise helps optimization escape from saddle points in the neural dynamics. 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 523-528,2019. Wu, Shuang, Feng Chen, et al. Convolution with even-sized kernels and symmetric padding. NIPS, 2019. Pei, Jing, Feng Chen, et al. Towards artificial general intelligence with hybrid Tianjic chip architecture. Nature, 572(7767):106-111,2019. Fan, Jingtao, Feng Chen, et al. Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution. Nature Photonics, 13(11): 809-816,2019. Zhaofei Yu, Feng Chen*, et al. Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 29(11),5761-5766,2018. Shangqi Guo, Feng Chen*, et al. Hierarchical bayesian inference and learning in spiking neural networks. IEEE Transactions on Cybernetics, 49(1), 133-145,2018. Fei Deng, Feng Chen*, et al. Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor. IEEE Transactions on Instrumentation and Measurement. 67(7),1555-1563,2018. Shuang Wu, Feng Chen, et al. Training and Inference with Integers in Deep Neural Networks. ICLR .oral, 2018. Dongqin Cai, Feng Chen, et al. Distinct anatomical connectivity patterns differentiate subdivisions of the nonlemniscal auditory thalamus in mice. Cereb Cortex, 29:2437-2454,2018. Yu, Zhaofei, Chen, Feng*, et al. Neural Network Implementation of Inference on Binary Markov Random Field with Probability Coding. Applied Mathematics and Computation, 301,193-200,2017. Yan ,Qi, Feng Chen*, et al. Revealing structure components of the retina by deep learning networks. The 31st Conference on Neural Information Processing Systems, Symposium on Interpretable Machine Learning, 2017. Z Yu, F Chen*, et al. Sampling-based causal inference in cue combination and its neural implementation.Neurocomputing,175(1),155-165,2016. Dong, Jianwu; Chen, Feng*, et al. Phase unwrapping with graph cuts optimization and dual decomposition acceleration for 3D high-resolution MRI data. Magnetic Resonance in Medicine, 77(3):1353,2016.