I am a final-year CS Ph.D student at University of Calofornia, Los Angeles (UCLA). I had the fortune to be advised by Prof. Yizhou Sun, and worked closely with Prof. Kai-Wei Chang. I received my CS bachelor degree at Peking University, advised by Prof. Xuanzhe Liu. My research is generously supported by Baidu PhD Fellowship and Amazon PhD Fellowship.
My ultimate research goal is to enable neural model to interact with symbolic reasoning module in a differentiable manner, and train such Neural-Symbolic model end-to-end without intermediate labels. Specifically, I have conducted works on:
Ph.D. of Computer Science
Sept. 2018 -- Now
University of Calofornia, Los Angeles
B.Sc. of Computer Science
Sept. 2014 -- Jun. 2018
Jun 2022 -- Now, Google Research
Working with Alireza Fathi, David Ross, Chen Sun and Cordelia Schmid on Knowledge-Augmented Visual-Language Model.
Jun 2021 -- Dec 2021, Google Brain
Worked with Zhe Zhao, Xinyang Yi and Tiansheng Yao on Improving Multi-Task Generalization.
Jun 2019 -- Sep 2019, Microsoft Research Redmond
Worked with Yuxiao Dong on billion-scale heterogeneous graph transformer & pre-train.
Feb 2018 -- Aug 2018, ByteDance AI Lab
Worked with Hang Li on pairwise unbiased learning-to-rank.
Feb 2017 -- Aug 2017, Microsoft Research Asia
Worked with Jiang Bian on news-oriented stock trend prediction.