I am a Ph.D. candidate in Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC), advised by Prof. Zhao Kang and Prof. Wenyu Chen.
My research focuses on graph representation learning, especially unsupervised graph clustering, homophily and heterophily, and spectral filtering. I am also interested in graph foundation models and large language models, with an emphasis on transferable representations and interpretable reasoning over graphs.
From 2025 to 2026, I was a CSC-supported visiting Ph.D. student at Singapore Management University, working with Prof. Yuan Fang. I received my B.Eng. in Software Engineering and M.Sc. in Computer Science and Technology from UESTC.
NEW论文 Attention Beyond Neighborhoods 被 IEEE TCSVT 接收。
论文 Clustering as Reasoning 被 ICML 2026 接收（CCF A）。
Provable Filter 与 Aggregation-aware MLP 分别发表于 IEEE Transactions on Cybernetics 和 Pattern Recognition。
获得腾讯奖学金·特等奖及博士生学术新秀荣誉。
论文 One Node One Model 被 AAAI 2025 接收，并入选 Oral（Top 4.7%）。
9 selected first-author papers, including shared first authorship and first student authorship.
† Equal contribution · ‡ First student author
International Conference on Machine Learning (ICML), 2026.
Connecting graph reasoning with clustering through a k-means interpretation of Transformer operations.
IEEE Transactions on Circuits and Systems for Video Technology, 2026.
Integrating global attention with local graph structure for unsupervised graph clustering.
Pattern Recognition, 179:113877, 2026.
IEEE Transactions on Cybernetics, 2026.
Proceedings of the AAAI Conference on Artificial Intelligence, 39(20):21688–21696, 2025.
Personalizing feature learning for individual nodes to recover information overlooked by structural aggregation.
Neural Networks, 185:107206, 2025.
Neural Networks, 184:107099, 2025.
IEEE Transactions on Neural Networks and Learning Systems, 36(7):13177–13188, 2025.
Expert Systems with Applications, 219:119645, 2023.
University of Electronic Science and Technology of China
Singapore Management University
University of Electronic Science and Technology of China
University of Electronic Science and Technology of China
I welcome discussions and collaborations on graph learning, unsupervised learning, graph foundation models, and LLM reasoning. Feel free to get in touch.