Guansong PANG
Full-time Faculty
Assistant Professor of Computer Science; Lee Kong Chian Fellow
School of Computing and Information Systems
SCIS
Qualification
- PhD, University of Technology Sydney, 2019
Teaching Topics
- Foundations of Cybersecurity
Research Advisor/Co-Research Advisor to
Research Areas and Areas of Expertise
Strategic Priorities
HighlightsGuansong Pang is an internationally recognized scholar in trustworthy AI, specializing in anomaly detection, open-world learning, and robust machine learning, with impactful contributions across foundational research, real-world applications, and academic leadership.
Pang’s research bridges methodological innovation in anomaly and out-of-distribution detection with practical deployment in safety-critical and commercially significant domains; he is noted for advancing robust, generalizable, and explainable AI systems, and for leadership in international research communities, editorial boards, and major conference organization.
Focused research areas include Novel data mining and machine learning techniques for abnormal, rare, or unknown instance detection; robust and generalized algorithms for trustworthy continual AI; safety-critical and high-impact applications including network intrusion detection, fraud detection, person re-identification, early disease detection, biomedical data analysis, defect detection, biometric anti-spoofing, and hate/toxic speech detection.
Pang’s research bridges methodological innovation in anomaly and out-of-distribution detection with practical deployment in safety-critical and commercially significant domains; he is noted for advancing robust, generalizable, and explainable AI systems, and for leadership in international research communities, editorial boards, and major conference organization.
Focused research areas include Novel data mining and machine learning techniques for abnormal, rare, or unknown instance detection; robust and generalized algorithms for trustworthy continual AI; safety-critical and high-impact applications including network intrusion detection, fraud detection, person re-identification, early disease detection, biomedical data analysis, defect detection, biometric anti-spoofing, and hate/toxic speech detection.
Areas of Expertise
Anomaly detectionopen-world learning (out-of-distribution detectionopen-set recognitionlong-tailed classificationcontinual learningopen-vocabulary learning)graph representation learningout-of-distribution generalizationdeep reinforcement learning for knowledge discoveryrobust and generalized machine learningtrustworthy continual AI systems.
Past Awarded Grant
- Development of Secured Components & Systems in Emerging Technologies through Hardware & Software Evaluation, National Cybersecurity R&D (NCR) Programme, Cyber Security Agency of Singapore (CSA), PI (Project Level): DING Xuhua, Debin GAO, Robert H DENG, David LO, Co-PI (Project Level): Guansong PANG, JIANG Lingxiao, DUAN Yue, YANG Guomin, PANG Hwee Hwa, 2023, S$11,365,070
- Trustworthy Foundation Models for Log Anomaly Detection, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): Guansong PANG, 2024, S$295,120
- Deep few-shot anomaly detection, SMU Internal Grant, Ministry of Education (MOE) Tier 1, PI (Project Level): Guansong PANG, 2021, S$99,984.87
- Android App Analysis with AI-Enabled Usability, Translation and Innovation Grants, CyberSG R&D Programme Office PI (Project Level): Debin GAO, Co-PI (Project Level): David LO, Guansong PANG, 2025, SGD1,792,700
Latest Publications
Showing up to 6 latest publications from the past 5 years.
- L Zhou, P Wu, M Zhang, Q Wang, G Pang, P WangProceedings of the AAAI Conference on Artificial Intelligence 40 (16), 13710 …, 2026
- Z Wang, G Pang, W Miao, J Zheng, X BaiProceedings of the AAAI Conference on Artificial Intelligence 40 (13), 10440 …, 2026
- Z Yang, J Liu, G Pang, P Wu, Z WuPattern Recognition, 113349, 2026
- H He, H Qiao, Y Chen, K Yi, G PangarXiv preprint arXiv:2602.19068, 2026
- Evolutionary Router Feature Generation for Zero-Shot Graph Anomaly Detection with Mixture-of-Experts [2026]H Jiang, T Chen, X Gao, G Pang, QVH Nguyen, H YinarXiv preprint arXiv:2602.11622, 2026
- D Wang, T Chen, G Pang, C Chen, S Li, H YinarXiv preprint arXiv:2602.08638, 2026
This highlights are AI-generated content using the faculty's CV.
Qualification
- PhD, University of Technology Sydney, 2019
Teaching Topics
- Foundations of Cybersecurity