Guansong Pang

发表

Anomaly detection based on zero appearances in subspaces

Guansong Pang, 2015 .

Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection

Zhibin Liao, Chunhua Shen, Yong Xia, 2020, IEEE Transactions on Medical Imaging.

Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection

G. Carneiro, J. Verjans, Chongjian Wang, 2022, MICCAI.

An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis

Mingsheng Shang, Guansong Pang, Qing Li, 2022, Journal of Big Data.

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks

Guansong Pang, Jiaying Liu, Feng Xia, 2022, ACM Transactions on Knowledge Discovery from Data.

Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection

Yijie Wang, Guansong Pang, Songlei Jian, 2022, ArXiv.

Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data pdf

Anton van den Hengel, Guansong Pang, Emma Baker, 2020, ArXiv.

Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes

G. Carneiro, Guansong Pang, Fengbei Liu, 2021, ECCV.

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

I. Reid, G. Carneiro, Guansong Pang, 2022, ArXiv.

Deep Learning for Anomaly Detection

A. V. Hengel, Longbing Cao, Chunhua Shen, 2020, ACM Comput. Surv..

Unsupervised Representation Learning by Predicting Random Distances pdf

Chunhua Shen, Hu Wang, Guansong Pang, 2019, IJCAI.

Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection

Yi Li, Zhibin Liao, Chunhua Shen, 2020 .

Heterogeneous Univariate Outlier Ensembles in Multidimensional Data

Longbing Cao, Guansong Pang, Longbing Cao, 2020, ACM Trans. Knowl. Discov. Data.

Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning

Ling Chen, Guansong Pang, Chaoxi Niu, 2023, ArXiv.

A generalized cluster centroid based classifier for text categorization

Shengyi Jiang, Guansong Pang, Sheng-yi Jiang, 2013, Inf. Process. Manag..

Deep Anomaly Detection with Deviation Networks

Anton van den Hengel, Chunhua Shen, Guansong Pang, 2019, KDD.

Deep Isolation Forest for Anomaly Detection

Yijie Wang, Guansong Pang, Hongzuo Xu, 2022, ArXiv.

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

Yanning Zhang, Guansong Pang, Wei Wei, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

Ling Chen, Longbing Cao, Huan Liu, 2018, KDD.

An improved K-nearest-neighbor algorithm for text categorization

Shengyi Jiang, Guansong Pang, Meiling Wu, 2012, Expert Syst. Appl..

Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss pdf

Jun Zhou, Xiao Bai, Cheng Yan, 2020, IEEE Transactions on Multimedia.

Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data

Chunhua Shen, Longbing Cao, Guansong Pang, 2020, KDD.

Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning pdf

Chunhua Shen, Anton van den Hengel, Guansong Pang, 2019, ArXiv.

Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features

Gustavo Carneiro, Rajvinder Singh, Johan W. Verjans, 2021, ArXiv.

Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images

Seon Ho Shin, G. Carneiro, Rajvinder Singh, 2021, MICCAI.

Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning

Gustavo Carneiro, Johan W. Verjans, Guansong Pang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection

Chunhua Shen, Xiao Bai, Anton van den Hengel, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Weakly-supervised Anomaly Detection

Chunhua Shen, Chunhua Shen, Huidong Jin, 2019 .

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

Chunhua Shen, Guansong Pang, Choubo Ding, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Explainable Deep Few-shot Anomaly Detection with Deviation Networks pdf

Anton van den Hengel, Guansong Pang, Chunhua Shen, 2021, ArXiv.

Deep One-Class Classification via Interpolated Gaussian Descriptor

G. Carneiro, Guansong Pang, Yu Tian, 2021, AAAI.

Occluded Person Re-Identification with Single-scale Global Representations

Chunhua Shen, Cheng Yan, Guansong Pang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation pdf

Anton van den Hengel, Guansong Pang, Rongrong Ma, 2021, WSDM.

Deep Hashing by Discriminating Hard Examples

Jun Zhou, Chunhua Shen, Cheng Yan, 2019, ACM Multimedia.

Editorial Deep Learning for Anomaly Detection

N. Sebe, Chunhua Shen, Guansong Pang, 2022, IEEE Trans. Neural Networks Learn. Syst..

DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities pdf

Guansong Pang, Songlei Jian, Zhiyue Wu, 2021, ArXiv.

Deep Learning for Hate Speech Detection: A Comparative Study

J. Malik, Guansong Pang, A. Hengel, 2022, ArXiv.

Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors

Bo Liu, Jian Yang, Lihong Chen, 2020, Bioinform..

Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors

Gustavo Carneiro, Guansong Pang, Yuanhong Chen, 2021, ArXiv.

CenKNN: a scalable and effective text classifier

Huidong Jin, Sheng-yi Jiang, Guansong Pang, 2015, Data Mining and Knowledge Discovery.

Deep Weakly-supervised Anomaly Detection

Chunhua Shen, Huidong Jin, A. van den Hengel, 2019, KDD.

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks

Guansong Pang, Jiaying Liu, Feng Xia, 2022, ACM Trans. Knowl. Discov. Data.

Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images.

Gustavo Carneiro, Johan W. Verjans, Guansong Pang, 2021, Medical image analysis.

Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation pdf

Gustavo Carneiro, Johan W. Verjans, Guansong Pang, 2021, ArXiv.

Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings

Ling Chen, Longbing Cao, Huan Liu, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection

Ling Chen, Longbing Cao, Huan Liu, 2017, IJCAI.

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection

Guansong Pang, H. Qiao, 2023, ArXiv.

Deep Isolation Forest for Anomaly Detection

Yijie Wang, Guansong Pang, Hongzuo Xu, 2022, IEEE Transactions on Knowledge and Data Engineering.

RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision

Yijie Wang, Guansong Pang, Songlei Jian, 2023, Inf. Process. Manag..

LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours

Kai Ming Ting, David W. Albrecht, Guansong Pang, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA)

Thomas G. Dietterich, Longbing Cao, A. van den Hengel, 2021, KDD.

Homophily outlier detection in non-IID categorical data

Guansong Pang, Longbing Cao, Ling Chen, 2021, Data Mining and Knowledge Discovery.

Deep Reinforcement Learning for Unknown Anomaly Detection pdf

Longbing Cao, Chunhua Shen, Anton van den Hengel, 2020, ArXiv.

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

I. Reid, G. Carneiro, Guansong Pang, 2022, ArXiv.

Learning Discriminative Neural Sentiment Units for Semi-supervised Target-Level Sentiment Classification

Jingjing Zhao, Yao Yang, Guansong Pang, 2020, PAKDD.

Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings

Ling Chen, Longbing Cao, Guansong Pang, 2016, IJCAI.

CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning

Kai Lu, Longbing Cao, Hang Gao, 2019, IEEE Transactions on Knowledge and Data Engineering.

Joint hyperbolic and Euclidean geometry contrastive graph neural networks

Mingsheng Shang, Guansong Pang, Di Wu, 2022, Information Sciences.

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection

Xu Zhou, Yanning Zhang, P. Wang, 2023, ArXiv.

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Shirui Pan, Y. Liang, Guansong Pang, 2023, IEEE transactions on pattern analysis and machine intelligence.

Toward Explainable Deep Anomaly Detection

Charu C. Aggarwal, Guansong Pang, C. Aggarwal, 2021, KDD.

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

Charu Aggarwal, Guansong Pang, Longbing Cao, 2021, WSDM.

CenKNN: a scalable and effective text classifier

Huidong Jin, Shengyi Jiang, Guansong Pang, 2014, Data Mining and Knowledge Discovery.

Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder

G. Carneiro, Rajvinder Singh, J. Verjans, 2022, MLMI@MICCAI.

Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds

Guansong Pang, Xiao Bai, Jingyi Zheng, 2023, Pattern Recognit..

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

I. Reid, G. Carneiro, Guansong Pang, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Anomaly Detection under Distribution Shift

Guansong Pang, Jiawen Zhu, T. Cao, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets

Huidong Jin, Kai Ming Ting, David W. Albrecht, 2016, J. Artif. Intell. Res..

Identifying Outliers in Complex Categorical Data by Modelling the Feature Value Couplings

Longbing Cao, Ling Chen, Guansong Pang, 2017 .

Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection

Guansong Pang, Choubo Ding, Jiawen Zhu, 2023, ArXiv.

HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks

Guansong Pang, Ling Chen, Jiaxi Li, 2023, ArXiv.

Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning

Kai Lu, Longbing Cao, Hang Gao, 2017, IJCAI.

Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images

G. Carneiro, Rajvinder Singh, J. Verjans, 2021, Medical Image Anal..

Unified Multifaceted Feature Learning for Person Re-Identification pdf

Chunhua Shen, Xiao Bai, Cheng Yan, 2019, ArXiv.

BV-Person: A Large-scale Dataset for Bird-view Person Re-identification

Chunhua Shen, Guansong Pang, Xuetao Feng, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Rethinking Homework in the Age of Artificial Intelligence

Talal Rahwan, Guansong Pang, Fareed Zaffar, 2023, IEEE Intelligent Systems.

Graph-level Anomaly Detection via Hierarchical Memory Networks

Guansong Pang, Chaoxi Niu, Ling Chen, 2023, ECML/PKDD.

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection

Guansong Pang, H. Qiao, 2023, NeurIPS.

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

Wray L. Buntine, C. Leckie, Mahsa Salehi, 2022, AAAI.

Unsupervised Recognition of Unknown Objects for Open-World Object Detection

Guansong Pang, Jingyi Zheng, Lei Zhou, 2023, ArXiv.

Unsupervised Representation Learning by Predicting Random Distances

Congbo Ma, Jianxin Li, Zhao Li, 2019, IJCAI.

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data

Ling Chen, Longbing Cao, Huan Liu, 2018, AAAI.