Limei Wang

photography 

E-mail: limei@tamu.edu
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Short Biography

I am a Research Scientist at Meta. Prior to that, I received my Ph.D. degree in Computer Engineering from Texas A&M University in 2024, under the supervision of Prof. Shuiwang Ji. My research interests include machine learning, deep learning on graphs, and AI for Science.

During Ph.D., I interned at Meta (with Dr. Si Zhang) as a research intern in summer 2023.

Before TAMU, I obtained my bachelor’s degree in Automation at University of Science and Technology of China (USTC) in June 2019.

Research Interests

News

photography  [11/2023] LatentDiff is accepted to LoG 2023.

photography  [09/2023] LEFTNet is accepted to NeurIPS 2023.

photography  [08/2023] I am selected as EECS Rising Stars 2023! [Past year’s workshops]

photography  [07/2023] Our AI4Science survey paper is released! [AIRS library], [Website]

photography  [01/2023] ProNet is accepted to ICLR 2023.

photography  [09/2022] ComENet is accepted to NeurIPS 2022.

photography  [09/2022] GOOD is accepted to NeurIPS 2022 Datasets and Benchmarks.

photography  [08/2022] Our tutorial Frontiers of Graph Neural Networks with DIG is accepted to KDD. [Hands-on Tutorial]

photography  [06/2022] GraphFM is accepted to ICML 2022.

photography  [02/2022] AdvProp is accepted to Bioinformatics.

photography  [01/2022] SphereNet is accepted to ICLR 2022.

photography  [12/2021] DIVE@TAMU is ranked #3 on the Open Catalyst Challenge 2021.

photography  [09/2021] DIG is accepted to JMLR. [DIG library]

photography  [06/2021] DIVE@TAMU is an awardee of KDD Cup 2021 on OGB-LSC. [Technical report], [Code]

Publications

* indicates equal contribution. † indicates equal senior contribution.

Preprints

* indicates equal contribution.

Education

Services

Conference Reviewer