Guansong Pang

Assistant Professor


School of Computing and Information Systems

Singapore Management University

Room 5035, 80 Stamford Rd, Singapore 178902

Email: gspang[at]smu.edu.sg; pangguansong[at]gmail.com

[Twitter] [LinkedIn] [GitHub] [Google Scholar]

Short Bio

Guansong Pang is a tenure-track Assistant Professor of Computer Science at the School of Computing and Information Systems, Singapore Management University (SMU). He was a Research Fellow with the Australian Institute for Machine Learning (AIML), University of Adelaide, where he worked with Professors Anton van den Hengel and Chunhua Shen. Before joining AIML, he received his Ph.D. at University of Technology Sydney, co-supervised by Professors Longbing Cao, Ling Chen and Huan Liu (ASU).

His research investigates novel data mining and machine learning techniques, with a research theme focused on abnormal, rare, or unknown instance detection, and robust, generalized learning algorithms for creating trustworthy continual AI systems. Some research areas of particular interest include:

  • Anomaly detection

  • Open-world learning (out-of-distribution detection, open-set recognition, long-tailed classification, continual learning, etc.)

  • Graph representation learning

  • Out-of-distribution generalization

  • Deep reinforcement learning for knowledge discovery

He also explores safety-critical and commercially/scientifically-significant real-world applications, including network intrusion detection, fraud detection, person re-identification, early detection of diseases, learning from biomedicine data, defect detection, biometric anti-spoofing, hate/toxic speech detection, etc.

Positions

Actively looking for candidates of the following positions; feel free to get in touch if you are interested:

  • Highly motivated PhD students with strong background in computer science or statistics.

  • Visiting professor/student positions (self-funded).

SMU is ranked No. 36 globally (No. 16 in Asia) in the broad AI category and No.81 globally (No. 14 in Asia) in the overall CS subject according to CSRankings.

Call-for-Papers

International Workshop on Learning with Knowledge Graphs @ WSDM 2023 (Deadline: January 8th, 2023)

Recent News

[11/2022] Honored to be identified as The World's Top 2% Scientists (single recent year) released by Stanford University

[11/2022] Honored to give an invited talk in the A*STAR Centre for Frontier AI Research (CFAR) Rising Star Lecture Series

[11/2022] One paper on cross-domain graph anomaly detection is accepted to AAAI 2023

[11/2022] Invited to be PC member of CVPR 2023 and senior PC of PAKDD 2023

[11/2022] Our workshop on learning with knowledge graphs is accepted to WSDM 2023

[09/2022] One paper on implicit relation prediction on graph data is accepted to TKDD

[08/2022] Invited to be PC member of AAAI 2023 and ICLR 2023

[07/2022] One paper on joint geometry contrastive graph neural networks is accepted for publication at Information Sciences

[07/2022] One paper on out-of-distribution semantic segmentation is accepted for oral presentation at ECCV 2022

[06/2022] One paper on latent factor analysis is accepted to Journal of Big Data

[06/2022] One paper on polyp detection in medical images is accepted to MICCAI 2022 (early accept)

[06/2022] Our TNNLS Special Issue on "Deep Learning for Anomaly Detection" is formally published now

[05/2022] Invited to be part of the local organization team of WSDM 2023

[04/2022] The second edition of the ANDEA workshop is accepted to co-locate with KDD 2022

[03/2022] Invited to be PC member of ECCV 2022, ECML-PKDD 2022 and NeurIPS 2022

[03/2022] One paper on open-set anomaly detection is accepted to CVPR 2022

[01/2022] Invited to join the editorial board of IEEE Intelligent Systems and International Journal of Data Science and Analytics

[01/2022] One paper on depression prediction is accepted to PAKDD 2022

[01/2022] Join School of Computing and Information Systems @ SMU as assistant professor

[12/2021] Invited to be PC member of KDD 2022 and ICML 2022

[12/2021] One paper on deep one-class classification is accepted to AAAI 2022

[10/2021] One paper on graph-level anomaly detection is accepted for presentation at WSDM 2022

[09/2021] Invited to be PC member of WSDM 2022, ICLR 2022, SDM 2022, CVPR 2022, and PAKDD 2022

[07/2021] Three papers are accepted for presentation at ICCV 2021, including one oral and two poster presentations

[07/2021] Invited to be a member of Program Committee Board (PCB) of IJCAI

[06/2021] One paper on anomaly detection and localization in medical images is accepted for presentation at MICCAI 2021

[05/2021] One paper on unknown anomaly detection and one tutorial on deep anomaly detection are accepted for presentation at KDD 2021

[05/2021] Won the 3rd prize and Best Paper Award of PAKDD 2021 Alibaba Cloud AIOps Competition

[04/2021] Invited to be PC member of NeurIPS 2021, ECML-PKDD 2021 and ICDM 2021

[03/2021] Our workshop proposal on "Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA)" is accepted by KDD 2021

[03/2021] Second edition of our AI4AN workshop is accepted to be in conjunction with IJCAI 2021

[03/2021] One paper on person re-identification is accepted by IEEE Transactions on Multimedia (TMM)

[03/2021] One paper on homophily anomaly detection is accepted by Data Mining and Knowledge Discovery (DMKD)