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 AI for Chemistry Transfer Learning

News

Apr 2026
New Our paper “Transfer Learning with Graph Neural Networks to Predict Polymer Solubility Parameter” is accepted at npj Computational Materials.
May 2026
Four of our papers are accepted at ICML 2026: “FUSE: Full-spectrum Unlearnable Examples via Spectral Equalization”, “Scaling-Aware Adapter for Structure-Grounded LLM Reasoning”, “Attention with Routed-Memory for Learnable Sparse Control”, and “Structure-Centric Graph Foundation Model via Geometric Bases”.
Jan 2026
Three of our papers are accepted at ICLR 2026: “SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation”, “When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining”, and “Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding”.
Dec 2025
I was invited to give a talk, “Unveiling Intrinsic Graph Data Properties for Domain Adaptation”, at OnDBD — Ontario DataBase Day.
Nov 2025
Our two papers, “Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning”, and “Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure” (Oral), are accepted at AAAI 2026.
May 2025
Our paper “Homophily Enhanced Graph Domain Adaptation” is accepted at ICML 2025.
Jan 2025
Our paper “On the Benefits of Attribute-Driven Graph Domain Adaptation” is accepted at ICLR 2025.
Dec 2024
Our paper “Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression” is accepted at AAAI 2025.

Selected Publications

First-author / co-first-author papers are listed below. For a complete list including collaborative works, please see my Google Scholar profile.

npj Comput. Mater.

Transfer Learning with Graph Neural Networks to Predict Polymer Solubility Parameter

Ruiyi Fang, Changhong Chen, Qiang Wang, Charles Ling, Boyu Wang, Hong Zhang

npj Computational Materials (Nature Partner Journal)

ICLR 2026

SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation

Ruiyi Fang, Jingyu Zhao, Shuo Wang, Ruizhi Pu, Bingheng Li, Jiale Cai, Zhihao Li, Zihao Jing, Jian Zhu, Song Tang, Charles Ling, Boyu Wang

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

Honors & Awards

Vector Scholarship in AI

Vector Institute, Canada

2023 - 2024

University Outstanding Graduate

UESTC

2019 - 2023

Professional Service

Founding Chair

IEEE Computational Intelligence Society (CIS) Chapter, Western University · IEEE London Section

Conference Reviewer

NeurIPS 2024, 2025, 2026 ICML 2024, 2025, 2026 ICLR 2024, 2025, 2026 SIGKDD 2025, 2026 AAAI 2026 IJCAI 2026 AISTATS 2025, 2026 WSDM 2026 ECML-PKDD 2026 ACM Multimedia 2024, 2025

Journal Reviewer

Neural Networks Pattern Recognition Information Sciences Neurocomputing

Volunteer

SIGKDD 2025, Toronto, Canada

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Contact

rfang32@uwo.ca

Department of Computer Science
Western University
London, Ontario, Canada

Google Scholar