I am a Ph.D. candidate in Statistics at University of Michigan. I am fortunate to work with Professor Ambuj Tewari. Before joining University of Michigan, I obtained my B.S. degree in Data Science from Peking University in 2018, where I was advised by Professor Song xi Chen on climate change and air pollution.
My current research interests are on Sample Efficient Reinforcement Learning (RL), Transfer Learning and Multitask Learning. I also work with Professor Paul Zimmerman on RL application to Chemistry.
Representation Learning Beyond Linear Prediction Functions ,Submitted to NeurIPS 2021 Ziping Xu, Ambuj Tewari
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaign ,AISTATS 2021 Ziping Xu, Amirhossein Meisami, Ambuj Tewari
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search,NeurIPS 2020 Tarun Gogineni, Ziping Xu, Exequiel Punzalan, Runxuan Jiang, Joshua Kammeraad, Ambuj Tewari, Paul Zimmerman
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting,NeurIPS 2020 Ziping Xu, Ambuj Tewari
Meteorological Change and Impacts on Air Pollution - Results from North China,Journal of Geophysical Research: Atmospheres. Ziping Xu, Song Xi Chen, Xiaoqing Wu
Worst-Case Regret Bound for Perturbation Algorithm on Reinforcement Learning,Accepted by NeurIPS 2019 Optimization Foundation for RL Workshop. Ziping Xu, Ambuj Tewari
Health Effects of Air Pollution in China,International Journal of Environmental Research and Public Health. Liu Wenling, Ziping Xu, and Tianan Yang
Cautionary Tales on Air-quality Improvement in Beijing,Proceedings of Royal Society A. Shuyi Zhang, Bin Guo, Anlan Dong, Jing He, Ziping Xu, and Song Xi Chen