Last updated on October 2016.
Rm 1-508, FIT Building
Dept. of Computer Science and Technology
Email: zjw15 at mails dot tsinghua dot edu dot cn
I am a fourth-year Ph.D. candidate in Department of Computer Science and Technology in the Tsinghua University. I am jointly supervised by Prof. Bo Zhang and Prof. Jun Zhu.
Before that, I received the B. Sc. degree from Department of Electronics Engineering of Tsinghua University in 2014 and M. Sc. degree from Computer Science Department of Carnegie Mellon University.
My research interest includes deep learning and scalable Bayesian inference. Currently, I am working on some projects about Bayesian inference for reinforcement learning and Bayesian inference with structural information.
Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen and Bo Zhang. Message Passing Stein Variational Gradient Descent, To appear in the International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018. [supplement materials] [poster]
Yichi Zhou, Jun Zhu, and Jingwei Zhuo. Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors, To appear in the International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018.
Wenbo Hu, Jun Zhu, Hang Su, Jingwei Zhuo, and Bo Zhang. Semi-supervised Max-margin Topic Models with Manifold Posterior Regularization, In Proc. of International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017.
Jingwei Zhuo, Yong Cao, Jun Zhu, Bo Zhang, and Zaiqing Nie. Segment-Level Sequence Modeling using Gated Recursive Semi-Markov Conditional Random Fields, In Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL), Berlin, Germany, 2016. [supplement materials]
Jingwei Zhuo, Jun Zhu, and Bo Zhang. Adaptive Dropout Rates for Learning with Corrupted Features, In Proc. of International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015.
Honors & Awards
|Distinguished Undergraduates of Tsinghua University, 2014|
|Jiang Nanxiang Memorial Scholarship, 2013|
|12.9 Memorial Scholarship, 2011|
Program Committee member: TKDD, NIPS 2018, ICML 2018, ICPR 2018, AAAI 2018, AAAI 2017, ICPR 2016.