Guansong Pang - RankMe

210 papers A* 50A 8B 3Journal 132Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Domain-Skewed Federated Learning with Feature Decoupling and Calibration. CoRR Huan Wang, Jun Shen, Jun Yan, Guansong Pang
2026	J	`jnl`	Evolutionary Router Feature Generation for Zero-Shot Graph Anomaly Detection with Mixture-of-Experts. CoRR Haiyang Jiang, Tong Chen, Xinyi Gao, Guansong Pang, Quoc Viet Hung Nguyen, Hongzhi Yin
2026	J	`jnl`	IMPACT: Influence Modeling for Open-Set Time Series Anomaly Detection. CoRR Xiaohui Zhou, Yijie Wang, Hongzuo Xu, Weixuan Liang, Xiaoli Li, Guansong Pang
2026	J	`jnl`	Identifying Good and Bad Neurons for Task-Level Controllable LLMs. CoRR Wenjie Li, Guansong Pang, Hezhe Qiao, Debin Gao, David Lo
2026	J	`jnl`	LEFT: Learnable Fusion of Tri-view Tokens for Unsupervised Time Series Anomaly Detection. CoRR Dezheng Wang, Tong Chen, Guansong Pang, Congyan Chen, Shihua Li, Hongzhi Yin
2026	J	`jnl`	Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark. Int. J. Comput. Vis. Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Li, Guansong Pang, Dacheng Tao
2026	A*	`conf`	MTAttack: Multi-Target Backdoor Attacks Against Large Vision-Language Models. AAAI Zihan Wang, Guansong Pang, Wenjun Miao, Jin Zheng, Xiao Bai
2026	J	`jnl`	OpenCIL: Benchmarking out-of-distribution detection in class incremental learning. Pattern Recognit. Wenjun Miao, Guansong Pang, Trong-Tung Nguyen, Ruohuan Fang, Jin Zheng, Xiao Bai
2026	J	`jnl`	Single-frame supervision for temporal video anomaly grounding. Neurocomputing Yuzhou Long, Peng Wu, Yuting Yan, Guansong Pang, Peng Wang, Yanning Zhang
2026	A*	`conf`	TargetVAU: Multimodal Anomaly-Aware Reasoning for Target Behavior Understanding in Videos. AAAI Lingru Zhou, Peng Wu, Manqing Zhang, Qingsheng Wang, Guansong Pang, Peng Wang
2026	J	`jnl`	TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection. CoRR Hui He, Hezhe Qiao, Yutong Chen, Kun Yi, Guansong Pang
2026	J	`jnl`	Towards Video Anomaly Detection from Event Streams: A Baseline and Benchmark Datasets. CoRR Peng Wu, Yuting Yan, Guansong Pang, Yujia Sun, Qingsen Yan, Peng Wang, Yanning Zhang
2026	J	`jnl`	Unleashing Vision-Language Semantics for Deepfake Video Detection. CoRR Jiawen Zhu, Yunqi Miao, Xueyi Zhang, Jiankang Deng, Guansong Pang
2025	J	`jnl`	AUDETER: A Large-scale Dataset for Deepfake Audio Detection in Open Worlds. CoRR Qizhou Wang, Hanxun Huang, Guansong Pang, Sarah M. Erfani, Christopher Leckie
2025	J	`jnl`	AVadCLIP: Audio-Visual Collaboration for Robust Video Anomaly Detection. CoRR Peng Wu, Wanshun Su, Guansong Pang, Yujia Sun, Qingsen Yan, Peng Wang, Yanning Zhang
2025	—	`conf`	Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection. PAKDD (7) Ying Fu Lim, Jiawen Zhu, Guansong Pang
2025	J	`jnl`	Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection. CoRR Ying Fu Lim, Jiawen Zhu, Guansong Pang
2025	A	`conf`	Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination. WACV Anindya Sundar Das, Guansong Pang, Monowar Bhuyan
2025	—	`conf`	AffinityTune: A Prompt-Tuning Framework for Few-Shot Anomaly Detection on Graphs. KDD (2) Jingyan Chen, Guanghui Zhu, Guansong Pang, Chunfeng Yuan, Yihua Huang
2025	—	`conf`	AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. KDD (2) Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang
2025	J	`jnl`	AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection. CoRR Hezhe Qiao, Chaoxi Niu, Ling Chen, Guansong Pang
2025	J	`jnl`	AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis. CoRR Zhiwei Yang, Chen Gao, Jing Liu, Peng Wu, Guansong Pang, Mike Zheng Shou
2025	J	`jnl`	CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. IEEE Trans. Neural Networks Learn. Syst. Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang
2025	J	`jnl`	DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps. CoRR Hongjie Zhu, Zeyu Zhang, Guansong Pang, Xu Wang, Shimin Wen, Yu Bai, Daji Ergu, Ying Cai, Yang Zhao
2025	—	`ed.`	Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII PAKDD (7) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025	—	`ed.`	Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI PAKDD (6) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025	J	`jnl`	Deep Graph Anomaly Detection: A Survey and New Perspectives. IEEE Trans. Knowl. Data Eng. Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang
2025	J	`jnl`	Deep learning for hate speech detection: a comparative study. Int. J. Data Sci. Anal. Jitendra Singh Malik, Hezhe Qiao, Guansong Pang, Anton van den Hengel
2025	A*	`conf`	FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting. IJCAI Shunnan Wang, Min Gao, Zongwei Wang, Yibing Bai, Feng Jiang, Guansong Pang
2025	A*	`conf`	GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers. ICML GuoguoAi, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan
2025	J	`jnl`	HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement. CoRR Qingsen Yan, Kangbiao Shi, Yixu Feng, Tao Hu, Peng Wu, Guansong Pang, Yanning Zhang
2025	A*	`conf`	HVI: A New Color Space for Low-light Image Enhancement. CVPR Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang
2025	J	`jnl`	HVI: A New Color Space for Low-light Image Enhancement. CoRR Qingsen Yan, Yixu Feng, Cheng Zhang, Guansong Pang, Kangbiao Shi, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang
2025	A*	`conf`	Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting. ICML Min Chen, Guansong Pang, Wenjun Wang, Cheng Yan
2025	J	`jnl`	MTAttack: Multi-Target Backdoor Attacks against Large Vision-Language Models. CoRR Zihan Wang, Guansong Pang, Wenjun Miao, Jin Zheng, Xiao Bai
2025	A	`conf`	MetaCAN: Improving Generalizability of Few-shot Anomaly Detection with Meta-learning. CIKM Zhisheng Lv, Jianfeng Zhang, Songlei Jian, Chenlin Huang, Hongguang Zhang, Guansong Pang, Zhong Liu
2025	J	`jnl`	Normality Calibration in Semi-supervised Graph Anomaly Detection. CoRR Guolei Zeng, Hezhe Qiao, Guoguo Ai, Jinsong Guo, Guansong Pang
2025	A*	`conf`	Open-Set Graph Anomaly Detection via Normal Structure Regularisation. ICLR Qizhou Wang, Guansong Pang, Mahsa Salehi, Xiaokun Xia, Christopher Leckie
2025	J	`jnl`	Robust Hallucination Detection in LLMs via Adaptive Token Selection. CoRR Mengjia Niu, Hamed Haddadi, Guansong Pang
2025	J	`jnl`	SEMPO: Lightweight Foundation Models for Time Series Forecasting. CoRR Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang
2025	J	`jnl`	Securing Foundation Models: Failure Cases, Challenges, and the Future. IEEE Intell. Syst. Mengjia Niu, Jiawen Zhu, Hezhe Qiao, Hamed Haddadi, Guansong Pang
2025	J	`jnl`	Semi-supervised Graph Anomaly Detection via Robust Homophily Learning. CoRR Guoguo Ai, Hezhe Qiao, Hui Yan, Guansong Pang
2025	J	`jnl`	SlowFastVAD: Video Anomaly Detection via Integrating Simple Detector and RAG-Enhanced Vision-Language Model. CoRR Zongcan Ding, Haodong Zhang, Peng Wu, Guansong Pang, Zhiwei Yang, Peng Wang, Yanning Zhang
2025	J	`jnl`	Synergizing Large Language Models and Task-specific Models for Time Series Anomaly Detection. CoRR Feiyi Chen, Leilei Zhang, Guansong Pang, Roger Zimmermann, Shuiguang Deng
2025	J	`jnl`	TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection. CoRR Qihang Zhou, Binbin Gao, Guansong Pang, Xin Wang, Jiming Chen, Shibo He
2025	J	`jnl`	Unsupervised Recognition of Unknown Objects for Open-World Object Detection. IEEE Trans. Neural Networks Learn. Syst. Ruohuan Fang, Guansong Pang, Wenjun Miao, Xiao Bai, Jin Zheng, Xin Ning
2025	J	`jnl`	What Are Anomalies in a Network? ACM Trans. Knowl. Discov. Data Kai Ming Ting, Zhong Zhuang, Guansong Pang, Zongyou Liu, Tianrun Liang, Qiuran Zhao
2025	A*	`conf`	Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. IJCAI Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang
2024	J	`jnl`	A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect. CoRR Yunkang Cao, Xiaohao Xu, Jiangning Zhang, Yuqi Cheng, Xiaonan Huang, Guansong Pang, Weiming Shen
2024	J	`jnl`	A deep learning method to predict bacterial ADP-ribosyltransferase toxins. Bioinform. Dandan Zheng, Siyu Zhou, Lihong Chen, Guansong Pang, Jian Yang
2024	J	`jnl`	Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling. CoRR Sinong Zhao, Wenrui Wang, Hongzuo Xu, Zhaoyang Yu, Qingsong Wen, Gang Wang, Xiaoguang Liu, Guansong Pang
2024	J	`jnl`	Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination. CoRR Anindya Sundar Das, Guansong Pang, Monowar Bhuyan
2024	J	`jnl`	Affinity Uncertainty-Based Hard Negative Mining in Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Chaoxi Niu, Guansong Pang, Ling Chen
2024	A*	`conf`	Anomaly Heterogeneity Learning for Open-Set Supervised Anomaly Detection. CVPR Jiawen Zhu, Choubo Ding, Yu Tian, Guansong Pang
2024	A*	`conf`	AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection. ICLR Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen
2024	J	`jnl`	Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
2024	A*	`conf`	Cluster-Wide Task Slowdown Detection in Cloud System. KDD Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
2024	J	`jnl`	Cluster-Wide Task Slowdown Detection in Cloud System. CoRR Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
2024	J	`jnl`	CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. CoRR Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang
2024	J	`jnl`	Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang
2024	J	`jnl`	Deep Learning for Video Anomaly Detection: A Review. CoRR Peng Wu, Chengyu Pan, Yuting Yan, Guansong Pang, Peng Wang, Yanning Zhang
2024	J	`jnl`	Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection. CoRR Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang
2024	A*	`conf`	Generative Semi-supervised Graph Anomaly Detection. NeurIPS Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
2024	J	`jnl`	Generative Semi-supervised Graph Anomaly Detection. CoRR Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
2024	A	`conf`	Graph Continual Learning with Debiased Lossless Memory Replay. ECAI Chaoxi Niu, Guansong Pang, Ling Chen
2024	J	`jnl`	Graph Continual Learning with Debiased Lossless Memory Replay. CoRR Chaoxi Niu, Guansong Pang, Ling Chen
2024	J	`jnl`	GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers. CoRR Guoguo Ai, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan
2024	J	`jnl`	Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks. CoRR Rongrong Ma, Guansong Pang, Ling Chen
2024	J	`jnl`	Harnessing collective structure knowledge in data augmentation for graph neural networks. Neural Networks Rongrong Ma, Guansong Pang, Ling Chen
2024	B	`conf`	Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. IJCNN Rongrong Ma, Guansong Pang, Ling Chen
2024	J	`jnl`	Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. CoRR Rongrong Ma, Guansong Pang, Ling Chen
2024	A*	`conf`	Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features. ACM Multimedia Choubo Ding, Guansong Pang
2024	A*	`conf`	LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. WWW Feiyi Chen, Zhen Qin, MengChu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen
2024	J	`jnl`	Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark. CoRR Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao
2024	A*	`conf`	Learning Transferable Negative Prompts for Out-of-Distribution Detection. CVPR Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng
2024	J	`jnl`	Learning Transferable Negative Prompts for Out-of-Distribution Detection. CoRR Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng
2024	J	`jnl`	Learning adversarial semantic embeddings for zero-shot recognition in open worlds. Pattern Recognit. Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning
2024	A*	`conf`	Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation. NeurIPS Wenjun Miao, Guansong Pang, Jin Zheng, Xiao Bai
2024	J	`jnl`	Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation. CoRR Wenjun Miao, Guansong Pang, Jin Zheng, Xiao Bai
2024	A*	`conf`	Open-Vocabulary Video Anomaly Detection. CVPR Peng Wu, Xuerong Zhou, Guansong Pang, Yujia Sun, Jing Liu, Peng Wang, Yanning Zhang
2024	J	`jnl`	OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning. CoRR Wenjun Miao, Guansong Pang, Trong-Tung Nguyen, Ruohang Fang, Jin Zheng, Xiao Bai
2024	A*	`conf`	Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning. AAAI Wenjun Miao, Guansong Pang, Xiao Bai, Tianqi Li, Jin Zheng
2024	A*	`conf`	Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach. NeurIPS Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu
2024	J	`jnl`	Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach. CoRR Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu
2024	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Y. Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2024	J	`jnl`	Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. CoRR Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang
2024	—	`conf`	Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. ECML/PKDD (6) Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang
2024	A*	`conf`	Simple Image-Level Classification Improves Open-Vocabulary Object Detection. AAAI Ruohuan Fang, Guansong Pang, Xiao Bai
2024	A*	`conf`	Toward Generalist Anomaly Detection via In-Context Residual Learning with Few-Shot Sample Prompts. CVPR Jiawen Zhu, Guansong Pang
2024	J	`jnl`	Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts. CoRR Jiawen Zhu, Guansong Pang
2024	A*	`conf`	Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. ICDE Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2024	A*	`conf`	VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection. AAAI Peng Wu, Xuerong Zhou, Guansong Pang, Lingru Zhou, Qingsen Yan, Peng Wang, Yanning Zhang
2024	A*	`conf`	Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts. ACM Multimedia Peng Wu, Xuerong Zhou, Guansong Pang, Zhiwei Yang, Qingsen Yan, Peng Wang, Yanning Zhang
2024	J	`jnl`	Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts. CoRR Peng Wu, Xuerong Zhou, Guansong Pang, Zhiwei Yang, Qingsen Yan, Peng Wang, Yanning Zhang
2024	B	`conf`	Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure. IJCNN Choubo Ding, Guansong Pang
2024	J	`jnl`	Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure. CoRR Choubo Ding, Guansong Pang
2024	J	`jnl`	Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts. CoRR Chaoxi Niu, Hezhe Qiao, Changlu Chen, Ling Chen, Guansong Pang
2023	J	`jnl`	Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning. CoRR Chaoxi Niu, Guansong Pang, Ling Chen
2023	A*	`conf`	Anomaly Detection under Distribution Shift. ICCV Tri Cao, Jiawen Zhu, Guansong Pang
2023	J	`jnl`	Anomaly Detection under Distribution Shift. CoRR Tri Cao, Jiawen Zhu, Guansong Pang
2023	J	`jnl`	Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection. CoRR Jiawen Zhu, Choubo Ding, Yu Tian, Guansong Pang
2023	J	`jnl`	AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection. CoRR Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen
2023	J	`jnl`	Background Matters: Enhancing Out-of-distribution Detection with Domain Features. CoRR Choubo Ding, Guansong Pang, Chunhua Shen
2023	A*	`conf`	Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
2023	J	`jnl`	Deep Isolation Forest for Anomaly Detection. IEEE Trans. Knowl. Data Eng. Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang
2023	A*	`conf`	Deep Weakly-supervised Anomaly Detection. KDD Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel
2023	A*	`conf`	Feature Prediction Diffusion Model for Video Anomaly Detection. ICCV Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang
2023	A*	`conf`	Glocal Energy-based Learning for Few-Shot Open-Set Recognition. CVPR Haoyu Wang, Guansong Pang, Peng Wang, Lei Zhang, Wei Wei, Yanning Zhang
2023	J	`jnl`	Glocal Energy-based Learning for Few-Shot Open-Set Recognition. CoRR Haoyu Wang, Guansong Pang, Peng Wang, Lei Zhang, Wei Wei, Yanning Zhang
2023	—	`conf`	Graph-Level Anomaly Detection via Hierarchical Memory Networks. ECML/PKDD (1) Chaoxi Niu, Guansong Pang, Ling Chen
2023	J	`jnl`	Graph-level Anomaly Detection via Hierarchical Memory Networks. CoRR Chaoxi Niu, Guansong Pang, Ling Chen
2023	B	`conf`	HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. DSAA Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad
2023	J	`jnl`	HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. CoRR Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad
2023	A	`conf`	International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. WSDM Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang
2023	J	`jnl`	LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection. CoRR Feiyi Chen, Zhen Qing, Yingying Zhang, Shuiguang Deng, Yi Xiao, Guansong Pang, Qingsong Wen
2023	J	`jnl`	Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds. CoRR Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning
2023	J	`jnl`	MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi
2023	J	`jnl`	Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
2023	J	`jnl`	Open-Vocabulary Video Anomaly Detection. CoRR Peng Wu, Xuerong Zhou, Guansong Pang, Yujia Sun, Jing Liu, Peng Wang, Yanning Zhang
2023	J	`jnl`	Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning. CoRR Wenjun Miao, Guansong Pang, Tianqi Li, Xiao Bai, Jin Zheng
2023	A*	`conf`	Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. ICCV Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2023	J	`jnl`	RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision. CoRR Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang
2023	J	`jnl`	RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision. Inf. Process. Manag. Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang
2023	J	`jnl`	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
2023	J	`jnl`	Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2023	J	`jnl`	Simple Image-level Classification Improves Open-vocabulary Object Detection. CoRR Ruohuan Fang, Guansong Pang, Xiao Bai
2023	A	`conf`	Subgraph Centralization: A Necessary Step for Graph Anomaly Detection. SDM Zhong Zhuang, Kai Ming Ting, Guansong Pang, Shuaibin Song
2023	J	`jnl`	Subgraph Centralization: A Necessary Step for Graph Anomaly Detection. CoRR Zhong Zhuang, Kai Ming Ting, Guansong Pang, Shuaibin Song
2023	A*	`conf`	Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection. NeurIPS Hezhe Qiao, Guansong Pang
2023	J	`jnl`	Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection. CoRR Hezhe Qiao, Guansong Pang
2023	J	`jnl`	Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. CoRR Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
2023	—	`conf`	Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
2023	J	`jnl`	Unsupervised Recognition of Unknown Objects for Open-World Object Detection. CoRR Ruohuan Fang, Guansong Pang, Lei Zhou, Xiao Bai, Jin Zheng
2023	J	`jnl`	VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection. CoRR Peng Wu, Xuerong Zhou, Guansong Pang, Lingru Zhou, Qingsen Yan, Peng Wang, Yanning Zhang
2022	J	`jnl`	AI in Beijing 2022 Olympic Winter Games. IEEE Intell. Syst. Guansong Pang
2022	A*	`conf`	ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
2022	J	`jnl`	An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis. J. Big Data Qing Li, Guansong Pang, Mingsheng Shang
2022	J	`jnl`	Artificial Intelligence for Natural Disaster Management. IEEE Intell. Syst. Guansong Pang
2022	J	`jnl`	Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss. IEEE Trans. Multim. Cheng Yan, Guansong Pang, Xiao Bai, Changhong Liu, Xin Ning, Lin Gu, Jun Zhou
2022	J	`jnl`	Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
2022	A*	`conf`	Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. CVPR Choubo Ding, Guansong Pang, Chunhua Shen
2022	J	`jnl`	Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. CoRR Choubo Ding, Guansong Pang, Chunhua Shen
2022	—	`conf`	Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro
2022	J	`jnl`	Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro
2022	J	`jnl`	Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
2022	—	`conf`	Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification. PAKDD (2) Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel
2022	A	`conf`	Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. WSDM Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel
2022	J	`jnl`	Deep Isolation Forest for Anomaly Detection. CoRR Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang
2022	J	`jnl`	Deep Learning for Anomaly Detection: A Review. ACM Comput. Surv. Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel
2022	J	`jnl`	Deep Learning for Hate Speech Detection: A Comparative Study. CoRR Jitendra Singh Malik, Guansong Pang, Anton van den Hengel
2022	A*	`conf`	Deep One-Class Classification via Interpolated Gaussian Descriptor. AAAI Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
2022	J	`jnl`	Editorial Deep Learning for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Guansong Pang, Charu Aggarwal, Chunhua Shen, Nicu Sebe
2022	J	`jnl`	Joint hyperbolic and Euclidean geometry contrastive graph neural networks. Inf. Sci. Xiaoyu Xu, Guansong Pang, Di Wu, Mingsheng Shang
2022	—	`conf`	Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
2022	J	`jnl`	Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2022	J	`jnl`	The AI Chip Race. IEEE Intell. Syst. Guansong Pang
2022	J	`jnl`	Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2021	A*	`conf`	Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
2021	A*	`conf`	BV-Person: A Large-scale Dataset for Bird-view Person Re-identification. ICCV Cheng Yan, Guansong Pang, Lei Wang, Jile Jiao, Xuetao Feng, Chunhua Shen, Jingjing Li
2021	—	`conf`	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	J	`jnl`	DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. CoRR Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang
2021	J	`jnl`	Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. CoRR Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel
2021	A	`conf`	Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. WSDM Guansong Pang, Longbing Cao, Charu Aggarwal
2021	J	`jnl`	Explainable Deep Few-shot Anomaly Detection with Deviation Networks. CoRR Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel
2021	J	`jnl`	Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu
2021	J	`jnl`	Homophily Outlier Detection in Non-IID Categorical Data. CoRR Guansong Pang, Longbing Cao, Ling Chen
2021	J	`jnl`	Homophily outlier detection in non-IID categorical data. Data Min. Knowl. Discov. Guansong Pang, Longbing Cao, Ling Chen
2021	J	`jnl`	Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
2021	A*	`conf`	Occluded Person Re-Identification with Single-scale Global Representations. ICCV Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen
2021	J	`jnl`	Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
2021	A*	`conf`	Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao
2021	A*	`conf`	Toward Explainable Deep Anomaly Detection. KDD Guansong Pang, Charu C. Aggarwal
2021	J	`jnl`	Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
2021	J	`jnl`	Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. IEEE Trans. Medical Imaging Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia
2021	J	`jnl`	Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2021	A*	`conf`	Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
2020	J	`jnl`	Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss. CoRR Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu
2020	J	`jnl`	Deep Learning for Anomaly Detection: A Review. CoRR Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel
2020	J	`jnl`	Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data. CoRR Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel
2020	J	`jnl`	Deep Reinforcement Learning for Unknown Anomaly Detection. CoRR Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao
2020	J	`jnl`	Heterogeneous Univariate Outlier Ensembles in Multidimensional Data. ACM Trans. Knowl. Discov. Data Guansong Pang, Longbing Cao
2020	—	`conf`	Learning Discriminative Neural Sentiment Units for Semi-supervised Target-Level Sentiment Classification. PAKDD (2) Jingjing Zhao, Yao Yang, Guansong Pang, Lei Lv, Hong Shang, Zhongqian Sun, Wei Yang
2020	J	`jnl`	Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors. Bioinform. Dandan Zheng, Guansong Pang, Bo Liu, Lihong Chen, Jian Yang
2020	A*	`conf`	Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CVPR Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai
2020	J	`jnl`	Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CoRR Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai
2020	A*	`conf`	Unsupervised Representation Learning by Predicting Random Distances. IJCAI Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma
2019	J	`jnl`	CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. IEEE Trans. Knowl. Data Eng. Songlei Jian, Guansong Pang, Longbing Cao, Kai Lu, Hang Gao
2019	A*	`conf`	Deep Anomaly Detection with Deviation Networks. KDD Guansong Pang, Chunhua Shen, Anton van den Hengel
2019	J	`jnl`	Deep Anomaly Detection with Deviation Networks. CoRR Guansong Pang, Chunhua Shen, Anton van den Hengel
2019	A*	`conf`	Deep Hashing by Discriminating Hard Examples. ACM Multimedia Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin R. Hancock
2019	—	`—`	Non-IID outlier detection with coupled outlier factors Guansong Pang
2019	J	`jnl`	Unified Multifaceted Feature Learning for Person Re-Identification. CoRR Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen
2019	J	`jnl`	Unsupervised Representation Learning by Predicting Random Distances. CoRR Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma
2019	J	`jnl`	Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning. CoRR Guansong Pang, Anton van den Hengel, Chunhua Shen
2018	A*	`conf`	Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. KDD Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2018	J	`jnl`	Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. CoRR Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2018	A*	`conf`	Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu
2017	A*	`conf`	Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. IJCAI Songlei Jian, Longbing Cao, Guansong Pang, Kai Lu, Hang Gao
2017	A*	`conf`	Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. IJCAI Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2017	A	`conf`	Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. CIKM Guansong Pang, Hongzuo Xu, Longbing Cao, Wentao Zhao
2016	A*	`conf`	Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings. IJCAI Guansong Pang, Longbing Cao, Ling Chen
2016	A*	`conf`	Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. ICDM Guansong Pang, Longbing Cao, Ling Chen, Huan Liu
2016	J	`jnl`	ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets. J. Artif. Intell. Res. Guansong Pang, Kai Ming Ting, David W. Albrecht, Huidong Jin
2015	J	`jnl`	CenKNN: a scalable and effective text classifier. Data Min. Knowl. Discov. Guansong Pang, Huidong Jin, Shengyi Jiang
2015	—	`conf`	LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours. ICDM Workshops Guansong Pang, Kai Ming Ting, David W. Albrecht
2013	—	`conf`	A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging. ADMA (1) Guansong Pang, Shengyi Jiang, Dongyi Chen
2013	J	`jnl`	A generalized cluster centroid based classifier for text categorization. Inf. Process. Manag. Guansong Pang, Shengyi Jiang
2013	—	`conf`	An effective class-centroid-based dimension reduction method for text classification. WWW (Companion Volume) Guansong Pang, Huidong Jin, Shengyi Jiang
2012	J	`jnl`	An improved K-nearest-neighbor algorithm for text categorization. Expert Syst. Appl. Shengyi Jiang, Guansong Pang, Meiling Wu, Limin Kuang