I am currently a principal researcher at Tencent AI Lab, working on machine learning and natural language processing. Before joining Tencent in March 2018, I worked in the Deep Learning Technology Center (DLTC) at Microsoft Research, Redmond, WA. I completed my PhD in Electrical Engineering at University of California, Los Angeles (UCLA), in June 2014, where I worked in Adaptive Systems Laboratory (ASL), supervised by Prof. Ali H. Sayed. Before that, I obtained my Master’s degree and Bachelor’s degree in Electronic Engineering at Tsinghua University in 2009 and Harbin Institute of Technology in 2005, respectively.

Contact information

Email: chenjianshu at gmail dot com OR jianshuchen at tencent dot com

Research interests

My research interests span several areas, including

• Machine learning (reinforcement learning, deep learning, unsupervised learning)
• Stochastic approximation
• Optimization

For more details, see my publications (also google scholar)

Selected publications

1. Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li and Li Deng, "Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes", Proc. 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, Dec. 2017.
2. Yu Liu*, Jianshu Chen* and Li Deng*, "Unsupervised Sequence Classification using Sequential Output Statistics", Proc. 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, Dec. 2017. (*Equal contribution)
3. Simon Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou, "Stochastic Variance Reduction Methods for Policy Evaluation", Proc. International Conference on Machine Learning (ICML), Sydney, Australia, August 2017.
4. Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng, "End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation", Proc. 29th Annual Conference on Neural Information Processing Systems (NIPS 2015), Montreal, Canada, December 2015.
5. Jianshu Chen and Ali H. Sayed. "On the Learning Behavior of Adaptive Networks — Part I: Transient Analysis", IEEE Transactions on Information Theory, Vol. 61, No. 6, June 2015, pp. 3487–3517.
6. Sergio V. Macua, Jianshu Chen, Santiago Zazo, and Ali H. Sayed. "Distributed Policy Evaluation Under Multiple Behavior Strategies", IEEE Transactions on Automatic Control, Vol. 60, No. 5, May 2015, pp. 1260–1274.