I am currently a third-year CS Ph.D candidate at University of Calofornia, Los Angeles (UCLA), and had the fortune to be advised by Prof. Yizhou Sun. I also work closely with Prof. Kai-Wei Chang. Previously, I received my CS bachelor degree in Peking University, advised by Prof. Xuanzhe Liu.
My research goal is to develop more efficient Graph Neural Networks (GNNs) to model large-scale and complex graph, and also explore whether GNNs can help tasks that require complex symbolic reasoning.
My research is generously supported by Baidu PhD Fellowship and Amazon PhD Fellowship.
Ph.D. of Computer Science
Sept. 2018 -- Now
University of Calofornia, Los Angeles
B.Sc. of Computer Science
Sept. 2014 -- Jun. 2018
Peking University
Jun 2021 -- Sep 2021, Google Brain
Worked with
Zhe Zhao, Xinyang Yi and Tiansheng Yao on
generalization for multi-task.
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.