News
I defended my Ph.D. dissertation and joined Amazon as a full-time Applied Scientist, working on building fundational LLM models for Amazon’s storefront. The rest of the website will be updated (soon)!
May. 2022:Our paper on the relationship between heterophily and robustness of GNNs has been accepted to KDD 2022! Camera-ready version coming soon.
Jan. 2022:Beginning my internship at Amazon as an Applied Scientist Intern!
Nov. 2021:I am glad to serve again as an organizer of the 2nd edition of Workshop on Graph Learning Benchmarks, which is held in conjunction with TheWebConf 2022.
Aug. 2021:In a blog post, we revisit the problem of heterophily for GNNs and discuss the reasons behind seemly different takeaways from different works in this area.
Jun. 2021:Check out our recent preprint on how adapting designs for heterophily on GNNs also help improving their robustness.
Dec. 2020:I am glad to serve as an organizer of the Workshop on Graph Learning Benchmarks, which is held in conjunction with TheWebConf 2021.
Dec. 2020:We have another paper on graph neural network for heterophily accepted at AAAI 2021!
Sep. 2020:Our paper in heterophily has been accepted to NeurIPS 2020!
Jun. 2020:Beginning my (remote) summer internship at Adobe Research.
Aug. 2019:Attending KDD 2019 in Anchorage, AK.
Apr. 2019:Our work GroupINN has been accepted at KDD 2019 for oral presentation! Hope to meet you in Anchorage this August!
Apr. 2019:I will be a Ph.D. student at GEMS Lab at the University of Michigan beginning this September!