I am currently working toward a PhD degree at Tongji University, Shanghai, China. I am a member of the Geometric dEep lEarning and Knowledge diScovery (GEEX) Group, supervised by Prof. Wei Ye. Additionally, I am currently a research intern at the Agency for Science, Technology and Research (A*STAR) in Singapore, supervised by Dr. Tiantian He and Prof. Yew Soon Ong.
My research focuses on machine learning and adversarial learning, with an emphasis on robust representation learning, clustering, and adversarial attacks and defenses on deep neural networks. More recently, I have also developed a strong interest in efficient AI models and am actively exploring this emerging field.
News
2026.10.16: 🎉 Awarded the NeurIPS-26 Financial Assistance Award!
2026.09.25: 🎉 Two papers accepted to NeurIPS-26! Congrats to co-authors.
2026.09.22: 🎉 Awarded the A*STAR Research Internship.
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Publications ( * denotes equal contribution)
Test-Time Graph Recalibration: Enhancing Robust Zero-Shot Inference for Graph Foundation Models
Chunchun Chen, Zhen Luo, Xing Wei, Yuxing Zhang, Xiaofeng Cao, Rui Fan, Ambuj Singh, Wei Ye
The Graph Concept Bottleneck: Decoding Combinatorial Reasoning in GNNs for Interpretability
Yue Niu, Zhaokai Sun, Jiayi Yang, Chunchun Chen, Xiaofeng Cao, Rui Fan, Xin Sun, Wei Ye
MASK: Minority-aware Semantic Alignment via Knowledge Enhancement for Long-tailed Graph Clustering
Yiwei Fu*, Chunchun Chen*, Yuxing Zhang*, Weizhi Zhang, Guanjie Zheng, Wei Ye, Xiao Luo, Philip S. Yu, Minghua Deng
Gradual Adversarial Graph Transfer: Stabilizing Alignment with Dual Transitional Domains
Xing Wei, Jiayi Yang, Chunchun Chen, Chenrun Wang, Xin Sun, Ming Li, Rui Fan, Hanli Wang, Wei Ye
Fast Mixture of Curvature-Aware Experts for Diverse and Dynamic Graph Topologies
Jiayi Yang, Xing Wei, Chunchun Chen, Yi Feng, Wengang Guo, Rui Fan, Xiaofeng Cao, Xin Sun, Wei Ye
Multi-scenario Knowledge-Enhanced Latent Intent Modeling for Recommendation
Quan Yuan, Chunchun Chen, Yuxing Zhang, Yaxiu Yu, Xiaoming Ju
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
Zhiyin Yu, Yuchen Mou, Juncheng Yan, Junyu Luo, Chunchun Chen, Xing Wei, Yunhui Liu, Hongru Sun, Yuxing Zhang, Jun Xu, Yatao Bian, Ming Zhang, Wei Ye, Tieke He, Jie Yang, Guanjie Zheng, Zhonghai Wu, Bo Zhang, Lei Bai, Xiao Luo
Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency
Chunchun Chen, Xing Wei, Jiayi Yang, Chenrun Wang, Yiwei Fu, Yuxing Zhang, Xin Sun, Rui Fan, Wei Ye
Adversarial Augmentation With Maximum Discrepancy for Graph Contrastive Learning
Chunchun Chen, Xing Wei, Yuxing Zhang, Wei Ye
Bootstrap Deep Spectral Clustering with Optimal Transport
Wengang Guo, Wei Ye, Chunchun Chen, Xin Sun, Christian Böhm, Claudia Plant, Susanto Rahardja
Preference-driven Knowledge Distillation for Few-shot Node Classification
Xing Wei, Chunchun Chen, Rui Fan, Xiaofeng Cao, Sourav Medya, Wei Ye
Mark: Multi-agent collaboration with ranking guidance for text-attributed graph clustering
Yiwei Fu*, Yuxing Zhang*, Chunchun Chen*, Jianwen Ma, Quan Yuan, Rong-Cheng Tu, Xinli Huang, Wei Ye, Xiao Luo, Minghua Deng
- Linkthief: Combining generalized structure knowledge with node similarity for link stealing attack against gnn. Yuxing Zhang, Siyuan Meng, Chunchun Chen, Mengyao Peng, Hongyan Gu, Xinli Huang. ACM MM 2024.
- Deep discriminative dictionary pair learning for image classification. Wenjie Zhu, Bo Peng, Chunchun Chen, Hao Chen. Applied Intelligence 2023.
- Unified robust network embedding framework for community detection via extreme adversarial attacks. Wenjie Zhu, Chunchun Chen, Bo Peng. Information Sciences 2023.
- Differentiated graph regularized non-negative matrix factorization for semi-supervised community detection. Chunchun Chen, Wenjie Zhu, Bo Peng. Physica A: Statistical Mechanics and its Applications 2022.
- Towards robust community detection via extreme adversarial attacks, Chunchun Chen, Wenjie Zhu, Bo Peng, Huijuan Lu, ICPR 2022.
- Self-supervised embedding for subspace clustering. Wenjie Zhu, Bo Peng, Chunchun Chen. CIKM 2021.
Services
- Conference Reviewer: ICML 2026, NeurIPS 2025/2026, KDD 2026, AAAI 2023/2025/2026/2027, ACM MM 2024/2025/2026, ICLR 2026/2027, ECML-PKDD 2024/2025/2026, PAKDD 2025/2026, and ACML 2026.
- Journal Reviewer: IEEE TNNLS, IEEE TMM, TMLR, Expert Systems with Applications, and Pattern Recognition.
- Program Co-Chair: The First Workshop on Clustering in the Age of Pre-trained Foundation Models (PM4Cluster) in conjunction with ICDM 2026.
- Program Committee Member: The First Workshop on Large Language Models for Advanced Clustering Techniques (LLM4Cluster) in conjunction with ICDM 2025.
Honors and Awards
- 2026.10 NeurIPS-26 Financial Assistance Award.
- 2023.11 First Prize, 19th China Postgraduate Mathematical Modeling Competition.
- 2022.12 The China National Scholarship for Graduate Students.