Area Chair for NeurIPS, ICLR, ICML, CVPR, KDD, PAKDD, IJCAI, AAAI
Associate Editor for IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Neural Networks
Editorial Board member for IEEE Intelligent Systems and International Journal of Data Science and Analytics
Background
Tenure-track Assistant Professor of Computer Science at Singapore Management University (SMU)
Lee Kong Chian Fellow (2024–2026)
Faculty member at the School of Computing and Information Systems, SMU
Affiliated with the Centre on Security, Mobile Applications and Cryptography (CSMAC)
Leads the Machine Learning & Applications (MaLA) Lab at SMU
Research interests include machine learning, data mining, and computer vision, with a focus on recognizing and generalizing to abnormal, unknown, or unseen data for trustworthy AI in open environments
Key research areas: anomaly detection, open-world machine learning (e.g., out-of-distribution detection, open-set recognition, long-tailed classification, continual learning), specialized foundation models for specific data types (e.g., graphs, time series, tabular) or tasks (e.g., anomaly detection, forecasting), and security/safety in foundation models (e.g., hallucination mitigation, AI-generated content detection, defense against model/data attacks)
Real-world applications: network intrusion detection, fraud detection, early disease/fault detection, biomedicine data learning, industrial defect detection, biometric anti-spoofing, hate speech detection