Xinliang Liu

About

I am currently a postdoc in Computer, Electrical and Mathematical Science and Engineering Division (CEMSE) at King Abdullah University of Science and Technology (KAUST).

I received my Ph.D. degree in Computational Mathematics under the supervision of Prof. Lei Zhang at Shanghai Jiao Tong University in Shanghai, China in 2021. 

Research Interest

• AI for PDEs.

• Numerical homogenization.

• Neural operator

• Graph neural network

News

• "MgNO: Efficient Parameterization of Linear Operators via Multigrid" joint with Juncai He and Jinchao Xu has been accepted in ICLR 2024.
• "ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks" joint with Yuelin, Kai, Yuguang and Shi has been accepted in ICLR 2023 (spotlight). 
• "ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks" joint with Yuelin, Kai, Yuguang and Shi has been accepted in NeurIPS 2022 Workshop on New Frontiers in Graph Learning with Oral Presentation. 
• "Well-conditioned Spectral Transforms for Dynamic Graph Representation" has been accepted in LoG 2022 as poster.