Guansong Pang

2026

Robust Graph Learning on the Web: Challenges, Methods, and Applications.

Xiang Ao|Yang Liu|Guansong Pang|Yuanhao Ding|Hezhe Qiao|Dawei Cheng|Qing He

Companion Proceedings of the ACM Web Conference 2026, WWW Companion 2026, Dubai, United Arab Emirates, 29 June 2026 - 3 July 2026

2025

MetaCAN: Improving Generalizability of Few-shot Anomaly Detection with Meta-learning.

Zhisheng Lv|Jianfeng Zhang|Songlei Jian|Chenlin Huang|Hongguang Zhang|Guansong Pang|Zhong Liu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

2024

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection.

Feiyi Chen|Zhen Qin|Mengchu Zhou|Yingying Zhang|Shuiguang Deng|Lunting Fan|Guansong Pang|Qingsong Wen

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision.

Hongzuo Xu|Yijie Wang|Guansong Pang|Songlei Jian|Ning Liu|Yongjun Wang

Information Processing and Management 2023 Volume 60 Issue 5

International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning.

Qing Li|Xiao Huang|Ninghao Liu|Yuxiao Dong|Guansong Pang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023.

2022

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation.

Rongrong Ma|Guansong Pang|Ling Chen|Anton van den Hengel

WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

2021

Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities.

Guansong Pang|Longbing Cao|Charu Aggarwal

WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021

2017

Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data.

Guansong Pang|Hongzuo Xu|Longbing Cao|Wentao Zhao

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017

2013

A generalized cluster centroid based classifier for text categorization.

Guansong Pang|Shengyi Jiang

Information Processing and Management 2013 Volume 49 Issue 2

An effective class-centroid-based dimension reduction method for text classification.

Guansong Pang|Huidong Jin|Shengyi Jiang

22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume