News

Jun. 2024:

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!