Profile

Zhihao Li

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

Awesome AI4PDE

A curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differential Equations (PDEs).

AIPDESurvey

Demo Zhihu GitHub

Selected Publications

SIGKDD2026

M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers

Zhihao Li, Zhilu Lai, Xiaobo Zhang, Wei Wang

Multi-ScaleMultigridMulti-Wavelet

DOI arXiv GitHub

SIGKDD2025

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

Multi-ScaleArbitrary GeometryGraph Operator

DOI arXiv GitHub

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 – Present

Led 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 2025

Department 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 2022

Department 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

Reviewer (2025): NeurIPS, ICLR, AAAI, AI4Math@ICML

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

[P2]Preprint2025

Neural Preconditioning Operator for Efficient PDE Solves

Zhihao Li, Di Xiao, Zhilu Lai, Wei Wang

Preprint

PreconditionerPDE Solvers

arXiv

[C3]Conference2025

M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers

Zhihao Li, Zhilu Lai, Xiaobo Zhang, Wei Wang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Multi-WaveletMultigrid

DOI arXiv GitHub★ 0

[C2]Conference2024

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

Graph OperatorsArbitrary Geometry

DOI arXiv GitHub★ 0

[C1]Conference2022

HICF: Hyperbolic Informative Collaborative Filtering

Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Recommender SystemsHyperbolic

DOI arXiv GitHub★ 0

[P1]Preprint2022

Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King

Preprint

SurveyHyperbolicGraph Neural Networks

arXiv