Areas of Focus
- Brain-like Computing
- Video and Image Processing
- Probabilistic Graphical Models
Work Experience
- 2011-present - Tsinghua University - Tenured Professor, Department of Automation
- 2009-2009 - Carnegie Mellon University - Visiting Scholar
- 2003-2011 - Tsinghua University - Associate Professor, Department of Automation
- 2000-2003 - Tsinghua University - Assistant Professor, Department of Automation
Academic Background & Achievements
- 1996-2000 Doctorate: Tsinghua University, Department of Automation
- 1994-1996 Master's: Saint Petersburg State Technical University
- 1989-1994 Bachelor's: Saint Petersburg State Technical University
Publications
- Hierarchical Bayesian Inference and Learning in Spiking Neural Networks, Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, and Feng Chen, 2019
- Noise helps optimization escape from saddle points in the neural dynamics, Ying Fang, Zhaofei Yu, and Feng Chen, 2019
- Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks, Zhaofei Yu, Feng Chen and Fei Deng, 2018
- Experimental comparison of single-pixel imaging algorithms, Liheng Bian; Jinli Suo; Qionghai Dai; Feng Chen, 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, and Feng Chen, 2018
- 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, and Feng Chen, 2018
- Learning to Instruct Learning, Dagui Chen, and Feng Chen, 2018
- High-resolution multispectral imaging using a photodiode, Liheng Bian, Jinli Suo, Feng Chen, Qionghai Dai, 2018
- Distinct Anatomical Connectivity Patterns Differentiate Subdivisions of the Nonlemniscal Auditory Thalamus in Mice, Dongqin Cai, Yin Yue, Xin Su, Miaomiao Liu, Yiwei Wang, Ling You, Fenghua Xie, Fei Deng, Feng Chen, 2018
- Neural Network Implementation of Inference on Binary Markov Random Field with Probability Coding, Zhaofei Yu, Feng Chen, Jianwu Dong, 2017
- Revealing structure components of the retina by deep learning networks, Qi Yan, Zhaofei Yu, Feng Chen, Jian K. Liu, 2017
- CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling, Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen, and Wolfgang Maass, 2016
Awards
- IEEE Senior Member
- Committee Member of the Chinese Association of Automation, Intelligent Automation Professional Committee
- Second Prize of National Science and Technology Invention Award for 'New Technology of Streaming Media Service Based on Network Integration'
- Second Prize of Beijing Science and Technology Award for 'New Technology and Application of Large-scale Intelligent Video Surveillance'
- First Prize of Ministry of Education Technology Invention Award for 'Technology and Device for Stereoscopic Video Acquisition and Reconstruction'
- Third Prize of China Electronics Society Electronic Information Science and Technology Award for 'Key Technology and Application of Real-time Behavior Analysis in Video Surveillance'
- Best Paper, International Pacific Rim Conference on Multimedia