Guansong Pang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 126

Top Venues

Publications

Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
Generative Semi-supervised Graph Anomaly Detection. CoRR (2024)
Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng
Cluster-Wide Task Slowdown Detection in Cloud System. KDD (2024)
Yunkang Cao, Xiaohao Xu, Jiangning Zhang, Yuqi Cheng, Xiaonan Huang, Guansong Pang, Weiming Shen
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect. CoRR (2024)
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. ICDE (2024)
Chaoxi Niu, Guansong Pang, Ling Chen
Graph Continual Learning with Debiased Lossless Memory Replay. CoRR (2024)
Wenjun Miao, Guansong Pang, Trong-Tung Nguyen, Ruohang Fang, Jin Zheng, Xiao Bai
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning. CoRR (2024)
Rongrong Ma, Guansong Pang, Ling Chen
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks. CoRR (2024)
Peng Wu, Xuerong Zhou, Guansong Pang, Lingru Zhou, Qingsen Yan, Peng Wang, Yanning Zhang
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection. AAAI (2024)
Wenjun Miao, Guansong Pang, Xiao Bai, Tianqi Li, Jin Zheng
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning. AAAI (2024)
Jiawen Zhu, Guansong Pang
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts. CoRR (2024)
Ruohuan Fang, Guansong Pang, Xiao Bai
Simple Image-Level Classification Improves Open-Vocabulary Object Detection. AAAI (2024)
Rongrong Ma, Guansong Pang, Ling Chen
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. CoRR (2024)
Feiyi Chen, Zhen Qin, Mengchu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. WWW (2024)
Choubo Ding, Guansong Pang
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure. CoRR (2024)
Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection. ICLR (2024)
Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng
Learning Transferable Negative Prompts for Out-of-Distribution Detection. CoRR (2024)
Jiangning Zhang, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Zhucun Xue, Yong Liu, Guansong Pang, Dacheng Tao
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark. CoRR (2024)
Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. CoRR (2024)
Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning
Learning adversarial semantic embeddings for zero-shot recognition in open worlds. Pattern Recognit. 149 (2024)
Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. CoRR (2024)
Peng Wu, Xuerong Zhou, Guansong Pang, Lingru Zhou, Qingsen Yan, Peng Wang, Yanning Zhang
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection. CoRR (2023)
Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds. CoRR (2023)
Hezhe Qiao, Guansong Pang
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection. CoRR (2023)
Zhong Zhuang, Kai Ming Ting, Guansong Pang, Shuaibin Song
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection. SDM (2023)
Feiyi Chen, Zhen Qing, Yingying Zhang, Shuiguang Deng, Yi Xiao, Guansong Pang, Qingsong Wen
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection. CoRR (2023)
Qing Li, Xiao Huang, Ninghao Liu, Yuxiao Dong, Guansong Pang
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. WSDM (2023)
Ruohuan Fang, Guansong Pang, Lei Zhou, Xiao Bai, Jin Zheng
Unsupervised Recognition of Unknown Objects for Open-World Object Detection. CoRR (2023)
Tri Cao, Jiawen Zhu, Guansong Pang
Anomaly Detection under Distribution Shift. CoRR (2023)
Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. CoRR (2023)
Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection. CoRR (2023)
Kexin Zhang, Qingsong Wen, Chaoli Zhang, Rongyao Cai, Ming Jin, Yong Liu, James Zhang, Yuxuan Liang, Guansong Pang, Dongjin Song, Shirui Pan
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR (2023)
Chaoxi Niu, Guansong Pang, Ling Chen
Graph-level Anomaly Detection via Hierarchical Memory Networks. CoRR (2023)
Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Jiaxi Li, Guansong Pang, Ling Chen, Mohammad-Reza Namazi-Rad
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. DSAA (2023)
Haoyu Wang, Guansong Pang, Peng Wang, Lei Zhang, Wei Wei, Yanning Zhang
Glocal Energy-based Learning for Few-Shot Open-Set Recognition. CoRR (2023)
Jiawen Zhu, Choubo Ding, Yu Tian, Guansong Pang
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection. CoRR (2023)
Haoyu Wang, Guansong Pang, Peng Wang, Lei Zhang, Wei Wei, Yanning Zhang
Glocal Energy-based Learning for Few-Shot Open-Set Recognition. CVPR (2023)
Zhong Zhuang, Kai Ming Ting, Guansong Pang, Shuaibin Song
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection. CoRR (2023)
Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) (2023)
Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. ICCV (2023)
Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang
Feature Prediction Diffusion Model for Video Anomaly Detection. ICCV (2023)
Chaoxi Niu, Guansong Pang, Ling Chen
Graph-Level Anomaly Detection via Hierarchical Memory Networks. ECML/PKDD (1) (2023)
Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang
RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision. Inf. Process. Manag. 60 (5) (2023)
Hezhe Qiao, Guansong Pang
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection. NeurIPS (2023)
Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision. CoRR (2023)
Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang
Deep Isolation Forest for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Ruohuan Fang, Guansong Pang, Xiao Bai
Simple Image-level Classification Improves Open-vocabulary Object Detection. CoRR (2023)
Chaoxi Niu, Guansong Pang, Ling Chen
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning. CoRR (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI (2023)
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. 90 (2023)
Choubo Ding, Guansong Pang, Chunhua Shen
Background Matters: Enhancing Out-of-distribution Detection with Domain Features. CoRR (2023)
Tri Cao, Jiawen Zhu, Guansong Pang
Anomaly Detection under Distribution Shift. ICCV (2023)
Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel
Deep Weakly-supervised Anomaly Detection. KDD (2023)
Peng Wu, Xuerong Zhou, Guansong Pang, Yujia Sun, Jing Liu, Peng Wang, Yanning Zhang
Open-Vocabulary Video Anomaly Detection. CoRR (2023)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR (2023)
Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen, Xia Hu, Hongzhi Yin
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. CoRR (2023)
Wenjun Miao, Guansong Pang, Tianqi Li, Xiao Bai, Jin Zheng
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning. CoRR (2023)
Cheng Yan, Guansong Pang, Xiao Bai, Changhong Liu, Xin Ning, Lin Gu, Jun Zhou
Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss. IEEE Trans. Multim. 24 (2022)
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR (2022)
Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification. PAKDD (2) (2022)
Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR (2022)
Qing Li, Guansong Pang, Mingsheng Shang
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis. J. Big Data 9 (1) (2022)
Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. WSDM (2022)
Choubo Ding, Guansong Pang, Chunhua Shen
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. CoRR (2022)
Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD (2022)
Xiaoyu Xu, Guansong Pang, Di Wu, Mingsheng Shang
Joint hyperbolic and Euclidean geometry contrastive graph neural networks. Inf. Sci. 609 (2022)
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
Deep One-Class Classification via Interpolated Gaussian Descriptor. AAAI (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) (2022)
Guansong Pang, Charu Aggarwal, Chunhua Shen, Nicu Sebe
Editorial Deep Learning for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Guansong Pang
Artificial Intelligence for Natural Disaster Management. IEEE Intell. Syst. 37 (6) (2022)
Guansong Pang
AI in Beijing 2022 Olympic Winter Games. IEEE Intell. Syst. 37 (1) (2022)
Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR (2022)
Choubo Ding, Guansong Pang, Chunhua Shen
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. CVPR (2022)
Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang
Deep Isolation Forest for Anomaly Detection. CoRR (2022)
Guansong Pang
The AI Chip Race. IEEE Intell. Syst. 37 (2) (2022)
Jitendra Singh Malik, Guansong Pang, Anton van den Hengel
Deep Learning for Hate Speech Detection: A Comparative Study. CoRR (2022)
Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR (2022)
Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR (2022)
Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen
Occluded Person Re-Identification with Single-scale Global Representations. ICCV (2021)
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) (2021)
Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel
Explainable Deep Few-shot Anomaly Detection with Deviation Networks. CoRR (2021)
Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD (2021)
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV (2021)
Guansong Pang, Fabrizio Angiulli, Mihai Cucuringu, Huan Liu
Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. 36 (3) (2021)
Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD (2021)
Cheng Yan, Guansong Pang, Lei Wang, Jile Jiao, Xuetao Feng, Chunhua Shen, Jingjing Li
BV-Person: A Large-scale Dataset for Bird-view Person Re-identification. ICCV (2021)
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR (2021)
Guansong Pang, Longbing Cao, Ling Chen
Homophily Outlier Detection in Non-IID Categorical Data. CoRR (2021)
Guansong Pang, Longbing Cao, Charu Aggarwal
Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. WSDM (2021)
Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang
DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. CoRR (2021)
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR (2021)
Guansong Pang, Charu C. Aggarwal
Toward Explainable Deep Anomaly Detection. KDD (2021)
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR (2021)
Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. IEEE Trans. Medical Imaging 40 (3) (2021)
Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel
Deep Learning for Anomaly Detection: A Review. ACM Comput. Surv. 54 (2) (2021)
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. CoRR (2021)
Guansong Pang, Longbing Cao, Ling Chen
Homophily outlier detection in non-IID categorical data. Data Min. Knowl. Discov. 35 (4) (2021)
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features. CoRR (2021)
Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Guansong Pang