Jiaqi Han
PhD student at Stanford CS.
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Stanford, CA, 94305
I am currently a first year PhD student at Stanford Computer Science. Previously, I obtained B.S. in Computer Science at Tsinghua University.
My core research interests lie in generative models, dynamics simulation, and graph neural networks. I am particularly interested in geometrically equivariant GNNs which are powerful tools for learning interactions in complicated physical systems in a highly data-efficient fashion.
I am very fortunate to work with Prof. Wenbing Huang during my undergrad and Dr. Yu Rong at Tencent AI Lab. Welcome to drop me an email if you want to discuss or collaborate!
news
Nov 20, 2022 | Our team received the first place of NeurIPS’22 Open Catalyst Challenge, and was invited for the winner’s talk at the event! |
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Sep 25, 2022 | Two papers on equivariant GNNs for science (EGHN, SGNN) have been accepted by NeurIPS 2022. |
Jan 30, 2022 | Equivariant Graph Mechanics Networks has been accepted by ICLR 2022. |