Wei Jin’s Homepage

Hi there! I am an Assistant Professor of Computer Science at Emory University. I obtained my Ph.D. from Michigan State University in 2023 under the supervision of Prof. Jiliang Tang. Prior to that, I completed my B.E. degree at Zhejiang University in 2019. I have notable accomplishments such as Snap Research Fellowship, Most Influential Papers in KDD and WWW by PaperDigest, SDM Best Poster Award Honorable Mention, 3rd Place of Fitch H. Beach Award, and top finishes in three NeurIPS competitions. In addition, I regularly serve as organizers, (senior) PC members, and reviewers for multiple international conferences and journals in machine learning and data science such as ICLR, KDD, ICML, NeurIPS, AISTATS, AAAI, IJCAI, WWW, WSDM, CIKM, TKDE, TKDD and TNNLS.

I am actively seeking highly-motivated students for PhD positions starting Fall’24. For Emory students, we have the opportunity to collaborate starting from Fall’23. If you are interested, please send me your CV and all transcripts.

Research Interests:

  • Graph Neural Networks, Graph Machine Learning
  • Data-Centric AI (a nice definition by Andrew Ng)
  • Trustworthy AI: Robustness, Privacy, Fairness
  • AI for Science, AI for Healthcare

Email: wei.jin At emory.edu. Find me on Github, Twitter and Linkedin.

Open-Source Projects

GitHub starsGitHub forks
DeepRobust: A Platform for Adversarial Attacks and Defenses
In AAAI 2021
[Website] [Paper] [Code]

GitHub starsGitHub forks
DANCE: A Deep Learning Library and Benchmark for Single-Cell Analysis
[Website] [Code] [paper] [reading list]


Call for Paper: We are organizing a new research topic Graph Machine Learning at Large Scale in Frontiers in Big Data. If you are working in relevant directions, don’t hesitate to submit your paper to Frontiers!

  • [11/2023] Our workshop on Data-Centric AI was accepted by WWW’23!
  • [09/2023] Two papers accepted to NeurIPS’23
  • [08/2023] One paper on single-cell analysis accepted to CIKM’23
  • [07/2023] Check out our new preprint on LLMs for Graph!
  • [06/2023] KDD Cup 2023 Workshop is now calling for paper submissions!
  • [05/2023] Our paper “Enhancing Graph Representations Learning with Decorrelated Propagation” got accepted by KDD’23!
  • [05/2023] Thrilled to receive the 3rd place in Fitch H. Beach Award (Highest Honor at MSU College of Engineering)!
  • [04/2023] Thrilled to receive the Best Poster Award (Honorable Mention) at SDM’23!
  • [04/2023] Invited to serve as an undergraduate mentor at UNLV & Google ExploreCSR Program. We encourage students from historically-underrepresented groups to apply!
  • [03/2023] Thrilled to receive the Outstanding Graduate Student Award at MSU!
  • [03/2023] We have launched the Amazon KDD Cup’23 Competition, featuring a multilingual recommendation challenge. Feel free to submit your solutions and potentially win thousands of dollars!
More news


I enjoy many different kinds of sports including running, basketball, ping-pong and tennis. During my undergrad, I got several champions in 400m, 400m hurdles and 4*400m relay races at the university sports meet.

Now my goal is to bulk up and hopefully get a certificate of personal trainer. Let’s see what will happen 5 4 3 2 years later :)