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Guansong Pang

Glocal Energy-based Learning for Few-Shot Open-Set Recognition

Apr 24, 2023
Haoyu Wang, Guansong Pang, Peng Wang, Lei Zhang, Wei Wei, Yanning Zhang

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* Accepted at CVPR 2023

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Background Matters: Enhancing Out-of-distribution Detection with Domain Features

Mar 15, 2023
Choubo Ding, Guansong Pang, Chunhua Shen

* 14 pages

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Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning

Jan 31, 2023
Chaoxi Niu, Guansong Pang, Ling Chen

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* 11 pages, 4 figures

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Subgraph Centralization: A Necessary Step for Graph Anomaly Detection

Jan 17, 2023
Zhong Zhuang, Kai Ming Ting, Guansong Pang, Shuaibin Song

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* To be published in SDM2023

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Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment

Dec 02, 2022
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray Buntine, Christopher Leckie

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* AAAI2023, to appear

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Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation

Nov 26, 2022
Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

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* 16 pages, 11 figures and it is a preprint version

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Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection

Jul 25, 2022
Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang

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* 13 pages, 10 figures

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Deep Isolation Forest for Anomaly Detection

Jun 14, 2022
Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang

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* submission of KDD 2022, 12 pages, 7 figures; the source code is released at https://github.com/xuhongzuo/deep-iforest

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Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Mar 28, 2022
Choubo Ding, Guansong Pang, Chunhua Shen

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* Accepted by CVPR2022, 16 pages

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