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

Hello, I am Xuan Zhang. I am a final-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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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)
• 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
  Foundations and Trends in Machine Learning. https://www.air4.science
• 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)
• A Score-Based Model for Learning Neural Wavefunctions
  Xuan Zhang, Shenglong Xu, Shuiwang Ji
  arXiv:2305.16540
• 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
• 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]