SMU Machine Learning & Applications (MaLA) Lab consists of a team led by Assistant Professor Guansong Pang in the School of Computing and Information Systems at Singapore Management University (SMU), working on a variety of machine learning, data mining, and computer vision problems.
We have a focal research theme on recognizing and generalizing to abnormal, unknown, or unseen data for building trustworthy AI systems in open worlds. Some research areas of particular interest include:
🍿 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 type of data (e.g., graphs, time series, tabular) or tasks (e.g., anomaly detection, forecasting)
🍿 Security and safety in foundation models (hallucination mitigation, AI-generated content detection, defense against model/data attacks, etc.)
The team also explores some pivotal real-world applications of these areas, such as network intrusion detection, fraud detection, early detection of diseases/faults, learning from biomedicine data, industrial defect detection, biometric anti-spoofing, hate speech detection, etc.
The team has been actively collaborating with research teams led by various researchers, e.g., Prof. Ling Chen, Prof. Christopher Leckie, Prof. Xiao Bai, Prof. Peng Wang, Prof. Chunhua Shen, Prof. Ming-Sheng Shang, Prof. Kai-Ming Ting, and Prof. Gustavo Carneiro.
