Pang, Guansong

43 publications

WACV 2025 Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination Anindya Sundar Das, Guansong Pang, Monowar Bhuyan

ICCV 2025 Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection Wenjun Miao, Guansong Pang, Zihan Wang, Jin Zheng, Xiao Bai

ICCV 2025 Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang

IJCAI 2025 FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang

ICML 2025 GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan

CVPR 2025 HVI: A New Color Space for Low-Light Image Enhancement Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang

ICML 2025 Information Bottleneck-Guided MLPs for Robust Spatial-Temporal Forecasting Min Chen, Guansong Pang, Wenjun Wang, Cheng Yan

ICLR 2025 Open-Set Graph Anomaly Detection via Normal Structure Regularisation Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie

NeurIPS 2025 Robust Hallucination Detection in LLMs via Adaptive Token Selection Mengjia Niu, Hamed Haddadi, Guansong Pang

NeurIPS 2025 SEMPO: Lightweight Foundation Models for Time Series Forecasting Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang

NeurIPS 2025 Semi-Supervised Graph Anomaly Detection via Robust Homophily Learning GuoguoAi, Hezhe Qiao, Hui Yan, Guansong Pang

IJCAI 2025 Zero-Shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang

CVPR 2024 Anomaly Heterogeneity Learning for Open-Set Supervised Anomaly Detection Jiawen Zhu, Choubo Ding, Yu Tian, Guansong Pang

ICLR 2024 AnomalyCLIP: Object-Agnostic Prompt Learning for Zero-Shot Anomaly Detection Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen

NeurIPS 2024 Generative Semi-Supervised Graph Anomaly Detection Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang

CVPR 2024 Learning Transferable Negative Prompts for Out-of-Distribution Detection Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng

NeurIPS 2024 Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation Wenjun Miao, Guansong Pang, Jin Zheng, Xiao Bai

CVPR 2024 Open-Vocabulary Video Anomaly Detection Peng Wu, Xuerong Zhou, Guansong Pang, Yujia Sun, Jing Liu, Peng Wang, Yanning Zhang

AAAI 2024 Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning Wenjun Miao, Guansong Pang, Xiao Bai, Tianqi Li, Jin Zheng

NeurIPS 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu

ECML-PKDD 2024 Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang

AAAI 2024 Simple Image-Level Classification Improves Open-Vocabulary Object Detection Ruohuan Fang, Guansong Pang, Xiao Bai

CVPR 2024 Toward Generalist Anomaly Detection via In-Context Residual Learning with Few-Shot Sample Prompts Jiawen Zhu, Guansong Pang

AAAI 2024 VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection Peng Wu, Xuerong Zhou, Guansong Pang, Lingru Zhou, Qingsen Yan, Peng Wang, Yanning Zhang

ICCV 2023 Anomaly Detection Under Distribution Shift Tri Cao, Jiawen Zhu, Guansong Pang

AAAI 2023 Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie

ICCV 2023 Feature Prediction Diffusion Model for Video Anomaly Detection Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang

CVPR 2023 Glocal Energy-Based Learning for Few-Shot Open-Set Recognition Haoyu Wang, Guansong Pang, Peng Wang, Lei Zhang, Wei Wei, Yanning Zhang

ECML-PKDD 2023 Graph-Level Anomaly Detection via Hierarchical Memory Networks Chaoxi Niu, Guansong Pang, Ling Chen

ICCV 2023 Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro

NeurIPS 2023 Truncated Affinity Maximization: One-Class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao, Guansong Pang

CVPR 2022 Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection Choubo Ding, Guansong Pang, Chunhua Shen

AAAI 2022 Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro

ECCV 2022 Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro

ICCV 2021 BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification Cheng Yan, Guansong Pang, Lei Wang, Jile Jiao, Xuetao Feng, Chunhua Shen, Jingjing Li

ICCV 2021 Occluded Person Re-Identification with Single-Scale Global Representations Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen

ICCV 2021 Weakly-Supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro

IJCAI 2020 Unsupervised Representation Learning by Predicting Random Distances Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma

AAAI 2018 Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu

IJCAI 2017 Embedding-Based Representation of Categorical Data by Hierarchical Value Coupling Learning Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao

IJCAI 2017 Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection Guansong Pang, Longbing Cao, Ling Chen, Huan Liu

IJCAI 2016 Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings Guansong Pang, Longbing Cao, Ling Chen

JAIR 2016 ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets Guansong Pang, Kai Ming Ting, David W. Albrecht, Huidong Jin