I am a second-year PhD student in the College of Information Sciences and Technology at The Pennsylvania State University. My advisors are Prof. Suhang Wang and Prof. Xiang Zhang. I received my bachelor degree of engineering in Computer Science from Huazhong University of Sciences and Technology in 2021. My research interests lie in data mining, graph neural networks and trustworthy machine learning.

News

• [2023-10] one paper is accepted to WSDM 2024.
• [2023-09] one paper is accepted to NeurIPS 2023.
• [2023-05] Pass my qualifying exam and become a Ph.D. candidate.
• [2023-01] one paper is accepted to WWW 2023.

Publications

• Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang. “Certifiably Robust Graph Contrastive Learning” Accepted by Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023) [paper, code]

• Binghui Wang*, Minhua Lin*, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen (* indicates equal contribution). “Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function” Accepted by 17th ACM International Conference on Web Search and Data Mining (WSDM 2024) [paper, code]

• Enyan Dai*, Minhua Lin*, Xiang Zhang, Suhang Wang (* indicates equal contribution). “Unnoticeable Backdoor Attacks on Graph Neural Networks” Accepted by Proceedings of the ACM Web Conference 2023 (WWW 2023) [paper, code]