About Me

I’m currently a senior data & applied scientist at Microsoft Azure AI, working on research and production of Large Language Models (LLM).

I got my Ph.D. at Computer Sciences Department of University of Wisconsin-Madison in 2021, fortunately advised by Prof. Xiaojin Zhu. My PhD research focused on machine learning, especially adversarial machine learning and sequential decision making such as multi-armed bandit and reinforcement learning. I’ve published a line of research papers on adversarial attacks against Adversarial Bandits (ICLR23), No-regret Game Players (IJCAI22), Sequential Control System (AAAI21), Online Reinforcement Learning (ICML20), Batch Reinforcement Learning (NeurIPS19), Contextual Bandit (GameSec18), and Stochastic Bandit (NeurIPS18).

From 2012 to 2016, I was an undergraduate student at Huazhong University of Science and Technology, advised by Prof. Kun He, where I had some fun with unsupervised machine learning, e.g., dimensionality reduction and clustering in social networks.

A copy of my CV can be found here. You can find my thesis here.