Ruiyi Fang

方瑞懿

PhD Student in Computer Science
Western University, Canada

rfang32@uwo.ca

London, Ontario, Canada

Ruiyi Fang

About Me

I am a PhD student in the Department of Computer Science at Western University (University of Western Ontario), Canada, co-advised by Prof. Charles Ling (Fellow, Canadian Academy of Engineering) and Prof. Boyu Wang. My research focuses on domain adaptation and AI for chemistry, particularly in developing novel methods for graph neural networks and their applications.

Previously, I completed my Bachelor's degree in Software Engineering (Elite Program) at the University of Electronic Science and Technology of China (UESTC), where I worked with Prof. Zhao Kang on graph representation learning and contrastive learning.

Research Interests

Graph Neural Networks Domain Adaptation AI for Chemistry Transfer Learning Contrastive Learning Graph Representation Learning

Selected Publications

AAAI 2026 (Oral)

Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure

Ruiyi Fang, Shuo Wang, Ruizhi Pu, QIUHAO Zeng, Hao Zheng, Ziyan Wang, Jiale Cai, Zhimin Mei, Song Tang, Charles Ling, Boyu Wang

ICML 2025

Homophily Enhanced Graph Domain Adaptation

Ruiyi Fang*, Bingheng Li*, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang

* indicates equal contribution

ICLR 2025

On the Benefits of Attribute-Driven Graph Domain Adaptation

Ruiyi Fang*, Bingheng Li*, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Boyu Wang, Charles Ling

* indicates equal contribution

ICDM 2022

Structure-Preserving Graph Representation Learning

Ruiyi Fang*, Liangjian Wen*, Zhao Kang, Jianzhuang Liu

* indicates equal contribution

IEEE International Conference on Data Mining (ICDM) 2022

Experience

Sep 2023 - Present

PhD Student

Western University, Canada

Department of Computer Science

Advisors: Prof. Charles Ling (Fellow, CAE) & Prof. Boyu Wang

Research Areas: Domain Adaptation, AI for Chemistry

GPA: 4.0/4.0 (96.7%)

Sep 2019 - Jun 2023

Bachelor of Engineering

University of Electronic Science and Technology of China (UESTC)

School of Information and Software Engineering

Software Engineering (Elite Program)

GPA: 3.88/4.0 (88.7%)

Honors & Awards

Vector Scholarship in AI

Vector Institute, Canada

2023 - 2024

University Outstanding Graduate

UESTC

2019 - 2023

Professional Service

Reviewer

ACM Multimedia 2024, 2025 ICML 2024, 2025 ICLR 2024, 2025, 2026 NeurIPS 2024, 2025 AISTATS 2025, 2026 AAAI 2026 WSDM 2026 Neural Networks Pattern Recognition Neurocomputing

Contact

rfang32@uwo.ca

Department of Computer Science
Western University
London, Ontario, Canada

Google Scholar