Jiaqi Han
PhD student at Stanford CS.
I am currently a first year PhD student at Stanford Computer Science, advised by Prof. Stefano Ermon. Previously, I obtained B.S. in Computer Science at Tsinghua University, where I was very fortunate to work with Prof. Wenbing Huang during my undergrad.
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.
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. |