Guansong Pang
Scholar

Guansong Pang

Google Scholar ID: 1ZO7pHkAAAAJ
Assistant Professor of Computer Science, Singapore Management University
Machine LearningData MiningComputer VisionAnomaly DetectionOpen-world Learning
Citations & Impact
All-time
Citations
10,771
 
H-index
41
 
i10-index
78
 
Publications
20
 
Co-authors
54
list available
Resume (English only)
Academic Achievements
  • 2020 UTS Chancellor's Award List
  • World's Top 2% Scientists (2022–2024)
  • DSAA 2023 Best Paper Award (Applications Track)
  • Most Influential KDD 2023 Paper
  • Lee Kong Chian Fellowship Award 2024
  • 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