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 a globally recognized expert in anomaly detection, open-world learning, and trustworthy AI, with impactful contributions spanning foundational research, real-world applications, and leadership in the international data science and machine learning community.
Pioneered methodologies in anomaly and open-world detection, combining theoretical innovation with practical deployment in cybersecurity, healthcare, and urban systems; recognized among the world's top 2% scientists; recipient of multiple best paper and editorial awards; strong emphasis on explainability, robustness, and generalizability; leadership in organizing major conferences, workshops, and editorial activities; extensive collaboration across academia, industry, and public sector.
Focused research areas include Novel data mining and machine learning techniques for abnormal, rare, or unknown instance detection; robust and generalized learning for trustworthy continual AI; open-world and out-of-distribution detection; graph neural networks and representation learning; deep reinforcement learning for knowledge discovery; explainable AI; real-world applications in cybersecurity, biomedicine, and urban mobility.
Pioneered methodologies in anomaly and open-world detection, combining theoretical innovation with practical deployment in cybersecurity, healthcare, and urban systems; recognized among the world's top 2% scientists; recipient of multiple best paper and editorial awards; strong emphasis on explainability, robustness, and generalizability; leadership in organizing major conferences, workshops, and editorial activities; extensive collaboration across academia, industry, and public sector.
Focused research areas include Novel data mining and machine learning techniques for abnormal, rare, or unknown instance detection; robust and generalized learning for trustworthy continual AI; open-world and out-of-distribution detection; graph neural networks and representation learning; deep reinforcement learning for knowledge discovery; explainable AI; real-world applications in cybersecurity, biomedicine, and urban mobility.
Areas of Expertise
Anomaly detectionopen-world learning (out-of-distribution detectionopen-set recognitioncontinual learninglong-tailed classification)graph representation learningdeep learningrobust and generalized machine learning algorithmstrustworthy continual AI systemssafety-critical and high-impact applications including network intrusionfraud detectionmedical imagingperson re-identificationand hate speech detection.
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