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 the recognition, adaptation, and governance of abnormal or unknown data for building trustworthy AI systems in an open world. Research areas of particular interest include:
🍿 Recognition: Anomaly detection, open-set recognition, (M)LLM hallucination/attack/deepfake/agent failure detection.
🍿 Adaptation: Continual learning, self-improving/evolving foundation models, out-of-distribution generalization, specialized foundation models for specific type of data (e.g., graphs, time series, tabular) or tasks (e.g., anomaly detection, forecasting).
🍿 Governance: Anomaly restoration/prediction and prevention, (M)LLM hallucination/attack/deepfake/agent failure prevention.
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.
