Xuan Zhang   Ph.D. Student   Department of Computer Science & Engineering   Texas A&M University, TX, USA   326 L.F. Peterson Building. 435 Nagle Street   Email: xuan.zhang@tamu.edu   Google Scholar | GitHub | Twitter | LinkedIn

Hello, I am Xuan Zhang (first name pronounced as Shw-ahn). I am a fourth-year PhD student advised by Prof. Shuiwang Ji. I am interested in methods and applications of deep learning. My current research focus is developing deep learning methods for scientific problems, including deep-learning-based physics simulation and computational chemistry.
I received my master's degree in engineering from Shanghai Jiao Tong University, my engineering degree from ENSTA Paris (equivalent to master's degree), and my bachelor's degree from Shanghai Jiao Tong University.

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Preprints

• Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
  Xuan Zhang*, Limei Wang*, Jacob Helwig*, Youzhi Luo*, Cong Fu*, Yaochen Xie*, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, YuQing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess Smidt, Shuiwang Ji
  arXiv:2307.08423, https://www.air4.science
• A Score-Based Model for Learning Neural Wavefunctions
  Xuan Zhang, Shenglong Xu, Shuiwang Ji
  arXiv:2305.16540
• Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
  Zhao Xu, Youzhi Luo*, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji
  arXiv:2110.01717

Publications

• SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
  Xuan Zhang*, Jacob Helwig*, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
  In International Conference on Learning Representations (ICLR 2024)
• Group Equivariant Fourier Neural Operators for Partial Differential Equations
  Jacob Helwig*, Xuan Zhang*, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji
  In International Conference on Machine Learning (ICML 2023)
• Lattice Convolutional Networks for Learning Ground states of Quantum Many-Body Systems
  Cong Fu*, Xuan Zhang*, Shenglong Xu, Shuiwang Ji
  SIAM International Conference on Data Mining (SDM 2023)
• Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks
  Meng Liu*, Cong Fu*, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji
  Tech Report, KDD Cup 2021, Runner-up award on OGB-LSC
• Spherical Message Passing for 3D Molecular Networks
  Yi Liu*, Limei Wang*, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji
  In International Conference on Learning Representations (ICLR 2022)
• DIG: A Turnkey Library for Diving into Graph Deep Learning Research
  Meng Liu*, Youzhi Luo*, Limei Wang*, Yaochen Xie*, Hao Yuan*, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji
  Journal of Machine Learning Reseach, 2022
• Fast Quaternion Product Units for Learning Disentangled Representations in SO(3)
  Shaofei Qin, Xuan Zhang, Hongteng Xu, Yi Xu
  IEEE Transactions of Pattern Analysis and Machine Intelligence, 2022
• Disentangled Recurrent Wasserstein Autoencoder
  Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang
  In International Conference on Learning Representations (ICLR 2021)
• Quaternion Product Units for Deep Learning on 3D Rotation Groups
  Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu
  In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)

Software

• Real time semantic slam in ROS with a hand held RGB-D camera
  Xuan Zhang, David Filliat
  Research intern at ENSTA Paris, url: https://github.com/floatlazer/semantic_slam

Slides

• SineNet presentation at AI4Science Talks [slides]