研究团队

陈 峰 博士

清华大学自动化系教授/清华大学人工智能研究院副院长,自动化系副系主任

2011.12 - 现在清华大学自动化系 长聘教授
2009.02 - 2009.09卡内基梅隆大学 访问学者
2003.12 - 2011.12清华大学自动化系 副教授
2000.04 - 2003.12清华大学自动化系 助理教授
1996.09 - 2000.04清华大学自动化系 博士
1994.09 - 1996.06圣彼得堡国立技术大学 硕士
1989.11 - 1994.04圣彼得堡国立技术大学 学士

研究兴趣和领域

类脑计算、视频和图像处理、概率图模型

开设的课程

矩阵分析与应用、嵌入式系统的软硬件设计、自动控制理论(1)

代表性论文

1. Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, and Feng Chen. Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Transactions on Cybernetics, 2019, PP(99):1-13.

2. Ying Fang, Zhaofei Yu, and Feng Chen. Noise helps optimization escape from saddle points in the neural dynamics, European Symposium on Artificial Neural Networks 2019.

3. Zhaofei Yu, Feng Chen and Fei Deng. Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 2018, PP(99):1-6.

4. Liheng Bian; Jinli Suo; Qionghai Dai; Feng Chen. Experimental comparison of single-pixel imaging algorithms. Journal of the Optical Society of America A, 2018, 35(1): 78-87.

5. Fei Deng, Jianwu Dong, Xiangyu Wang, Ying Fang, Yu Liu, Zhaofei Yu, Jing Liu, and Feng Chen. Design and Implementation of a Noncontact Sleep Monitoring System Using Infrared Cameras and Motion Sensor. IEEE Transactions on Instrumentation and Measurement, 2018, 67(7): 1555-1563.

6. Zhaofei Yu, Shangqi Guo, Fei Deng, Qi Yan, Keke Huang, Jian K. Liu, and Feng Chen. Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE transactions on cybernetics, 2018.

7. Dagui Chen, and Feng Chen. Learning to Instruct Learning. International Symposium on Big Data and Artificial Intelligence, 2018.

8. Liheng Bian, Jinli Suo, Feng Chen, Qionghai Dai. High-resolution multispectral imaging using a photodiode[C]//High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management. International Society for Optics and Photonics, 2018, 10505: 1050507.

9. Dongqin Cai, Yin Yue, Xin Su, Miaomiao Liu, Yiwei Wang, Ling You, Fenghua Xie, Fei Deng, Feng Chen. Distinct Anatomical Connectivity Patterns Differentiate Subdivisions of the Nonlemniscal Auditory Thalamus in Mice. Cerebral cortex (New York, NY: 1991), 2018.

10. Zhaofei Yu, Feng Chen, Jianwu Dong. Neural Network Implementation of Inference on Binary Markov Random Field with Probability Coding. Applied Mathematics and Computation. 2017, 301: 193-200.

11. Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu. Revealing structure components of the retina by deep learning networks. Workshop of the 31st Annual Conference on Neural Information Processing Systems.

12. Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, and Wolfgang Maass. CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling. 2016.

荣誉、奖励及参加学术团体的情况

IEEE Senior Member

中国自动化学会智能自动化专业委员会委员

“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

“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

“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

“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

最佳论文, International Pacific Rim Conference on Multimedia

联系方式

地址:北京市海淀区清华大学中央主楼721 (100084)

电话:+86 10 62797145

邮箱:chenfeng@mail.tsinghua.edu.cn