Hello! I am Jiaming Zhuo (禚佳明), a Ph.D. Candidate at the School of Artificial Intelligence, Hebei University of Technology, supervised by Professor Liang Yang (杨亮). I am currently a visiting student at the Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore, advised by Principal Scientist Huazhu Fu (付华柱). I am passionate about exploring the cutting-edge intersections of artificial intelligence and various fields. My work focuses on developing advanced Graph Neural Networks (GNNs) and their applications to address real-world challenges. Looking forward to connecting with like-minded individuals 🍻
📜 Research Area
| Research Area | Topic |
|---|---|
| 🔆 Graph Machine Learning | Graph Self-supervised Learning, Graph Transformer |
📝 Publication
- DUALFormer: Dual Graph Transformer. Jiaming Zhuo, Yuwei Liu, Yintong Lu, Ziyi Ma, Kun Fu, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang. ICLR, 2025.
- Unified Graph Augmentations for Generalized Contrastive Learning on Graphs. Jiaming Zhuo, Yintong Lu, Hui Ning, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang. NeurIPS, 2024.
- Improving Graph Contrastive Learning via Adaptive Positive Sampling. Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang. CVPR, 2024.
- Graph Contrastive Learning Reimagined: Exploring Universality. Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang. WWW, 2024.
- Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs, Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang. MM, 2023, Oral.
- Do We Really Need Message Passing in Brain Network Modeling?, Liang Yang, Yuwei Liu, Jiaming Zhuo (Corresponding Author), Di Jin, Chuan Wang, Zhen Wang, Xiaochun Cao. ICML, 2025, Spotlight.
- Universal Graph Self-Contrastive Learning. Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo (Corresponding Author), Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang. IJCAI, 2025.
- Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology. Liang Yang, Zhenna Li, Jiaming Zhuo (Corresponding Author), Jing Liu, Ziyi Ma, Chuan Wang, Zhen Wang, Xiaochun Cao. AAAI, 2025, Oral.
- Disentangled Graph Spectral Domain Adaptation, Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo. ICML, 2025.
👔 Internship and Visiting Experience
- 2025.08 -, Visiting Student, Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (ASTAR), Singapore.
🏫 Education
- 2022.09 - Present, Ph.D. in Control Science and Engineering, Hebei University of Technology, Tianjin, China. (Integrated Masters with PhD)
- 2019.09 - 2022.09, M.Sc. in Computer Science and Technology, Hebei University of Technology, Tianjin, China.
🔦 Others
🎖 Award
- Top 10 Academic Stars Award, Hebei University of Technology, 2024.
- Academic Stars Award, School of Artificial Intelligence, Hebei University of Technology, 2024.
- First-class Scholarships for Postgraduate Studies, Hebei University of Technology, 2022-2023, 2023-2024, 2024-2025.
- Notable Reviewers, ICLR, 2025.
- …
👀 PC Member
- International Conference on Learning Representations (ICLR), 2025.
- Conference on Neural Information Processing Systems (NeurIPS), 2024-2025.
- International Conference on Machine Learning (ICML), 2024-2025.
- International World Wide Web Conference (WWW), 2025.
- Association for the Advancement of Artificial Intelligence (AAAI) 2026.
- ACM International Conference on Multimedia (MM), 2025.