Lingyang Chu

Lingyang Chu is an Assistant Professor at McMaster University's Department of Computing and Software, previously serving as a postdoc fellow at Simon Fraser University under Jian Pei. He earned his Ph.D. in Computer Science from the University of Chinese Academy of Sciences.

Research interests span data mining, machine learning, and statistics, with focus on trustworthy AI (privacy, interpretability, security, robustness, fairness), federated learning, and graph-based machine learning. His work includes scalable data mining on large graphs and deploying systems like personalized federated learning on Huawei Cloud's Harmony OS devices.

Publications emphasize adversarial attacks, medical AI, graph robustness, and federated learning frameworks. His advising record includes 28 mentees across Ph.D., M.Sc., and internship levels. Scientific achievements include

• Best paper candidate at ICME'13
• Best demo award at ICMR'13

Academic service roles include:

• Program Committee: NeurIPS, SIGKDD, CVPR, ICML, and 12+ other top-tier conferences
• Journal Reviewer: IEEE TKDE, ACM Transactions on KDD, and 8+ journals
• Editorial Board: ACM Transactions on KDD (Associate Editor)
• Grant Reviewer: Hong Kong RGC

Labs/teams: Maintained open-source ALID algorithm (VLDB'15) for dominant cluster detection, demonstrating technical leadership in scalable graph mining