Profile
PhD Student · DSA Thrust · Information Hub · HKUST(GZ)
My research focuses on AI for Science, particularly AI for PDEs, which involves leveraging machine learning to solve partial differential equations (PDEs) in interdisciplinary applications.
Projects
Selected Publications
Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual Correction
Zhihao Li, Shengwei Dong, Chuang Yi, Junxuan Gao, Zhilu Lai, Zhiqiang Liu, Wei Wang, Guangtao Zhang
M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers
Zhihao Li, Zhilu Lai, Xiaobo Zhang, Wei Wang
Resume
Education
The Hong Kong University of Science and Technology (Guangzhou)
Sep 2022 – Present
Ph.D. candidate, Data Science and Analytics
- Supervisor: Prof. Wei Wang
- Co-Supervisor: Prof. Zhilu Lai
Harbin Institute of Technology, Shenzhen
Sep 2018 – Jun 2022
Bachelor's degree, Computer Science and Technology
- Advisor: Prof. Qing Liao
Experience
Huawei 2012 Lab
AI Engineering Intern
Aug 2025 – PresentLed end-to-end development of an ocean modeling system on Huawei Ascend using MindSpore.
- Leader: Dr. Fan Yu
- Mentor: Dr. Yi Zhang
The Hong Kong University of Science and Technology (CWB)
Cross-Campus Study
Jan 2025 – Aug 2025Department of Mathematics; advanced deep learning methods for PDE and materials.
- Host Supervisor: Prof. Yang Xiang
The Chinese University of Hong Kong
Research Internship
Apr 2021 – Apr 2022Department of Computer Science and Engineering; work on knowledge graphs, recommender systems, and graph neural networks in hyperbolic space.
- Advisor: Prof. Irwin King
- Mentor: Dr. Menglin Yang
Academic Service
Teaching
Graduate Teaching Assistant
The Hong Kong University of Science and Technology (Guangzhou)
- DSAA 5009: Deep Learning in Data Science (2024 Spring)
- FUNH 5010: Introduction to Materials Informatics (2022 Fall)
Publications
Physics-Consistent Diffusion for Efficient Fluid Super-Resolution via Multiscale Residual Correction
Zhihao Li, Shengwei Dong, Chuang Yi, Junxuan Gao, Zhilu Lai, Zhiqiang Liu, Wei Wang, Guangtao Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators
Zhihao Li, Yu Feng, Zhilu Lai, Wei Wang
Preprint
Neural Preconditioning Operator for Efficient PDE Solves
Zhihao Li, Di Xiao, Zhilu Lai, Wei Wang
Preprint
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
Zhihao Li, Haoze Song, Di Xiao, Zhilu Lai, Wei Wang
Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining