Biography

I am currently a third year Ph.D. candidate at Data Science and Analytics Thrust, Information Hub, Hong Kong University of Science and Technology (HKUST), Guangzhou supervised by Prof.Wei WANG.

My current interest is in the filed of AI for Science, like the application of machine learning to solve PDEs (such as Physics Informed Neural Network) in interdisciplinary. Also, I have done some research on Knowledge Graphs, Recommender systems, Graph Neural Networks and applications of Hyperbolic Space on them.

Publications

[KDD 2025] 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

[Arxiv] M2NO: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method

Zhihao Li, Zhilu Lai, Xiaobo Zhang, Wei Wang

[KDD 2022] HICF: Hyperbolic Informative Collaborative Filtering

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

[Survey] Hyperbolic Graph Neural Networks: A Review of Methods and Applications

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

Experience

2021-2022 · The Chinese University of Hong Kong · Research intern

Worked with Menglin Yang and Prof.Irwin King.

2018-2022 · Harbin Institute of Technology, Shenzhen · Undergraduate

Bachelor's degree in Computer Science and Technology, advised by Prof.Qing Liao.

Teaching

2022 Fall · FUNH 5010 Introduction to Materials Informatics · Teaching Assitant · HKUST(GZ)

2024 Spring · DSAA 5009 Deep Learning in Data Science · Teaching Assitant · HKUST(GZ)