עקוב אחר
Guansong Pang
Guansong Pang
Assistant Professor of Computer Science, Singapore Management University
כתובת אימייל מאומתת בדומיין smu.edu.sg - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Deep Learning for Anomaly Detection: A Review‏
G Pang, C Shen, L Cao, AVD Hengel‏
ACM Computing Surveys (CSUR) 54 (2), 1-38, 2021‏
25832021
Viral Pneumonia Screening on Chest X-rays Using Confidence-Aware Anomaly Detection‏
J Zhang, Y Xie, G Pang, Z Liao, J Verjans, W Li, Z Sun, J He, Y Li, C Shen, ...‏
IEEE Transactions on Medical Imaging, 2021‏
989*2021
Deep anomaly detection with deviation networks‏
G Pang, C Shen, A Van Den Hengel‏
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019‏
504*2019
An improved K-nearest-neighbor algorithm for text categorization‏
S Jiang, G Pang, M Wu, L Kuang‏
Expert Systems with Applications 39 (1), 1503-1509, 2012‏
4402012
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning‏
Y Tian, G Pang, Y Chen, R Singh, JW Verjans, G Carneiro‏
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021‏
4282021
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection‏
G Pang, C Yan, C Shen, A van den Hengel, X Bai‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020‏
3002020
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection‏
G Pang, L Cao, L Chen, H Liu‏
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018‏
2572018
Deep isolation forest for anomaly detection‏
H Xu, G Pang, Y Wang, Y Wang‏
IEEE Transactions on Knowledge and Data Engineering 35 (12), 12591-12604, 2023‏
2302023
Beyond triplet loss: person re-identification with fine-grained difference-aware pairwise loss‏
C Yan, G Pang, X Bai, C Liu, X Ning, L Gu, J Zhou‏
IEEE Transactions on Multimedia 24, 1665-1677, 2021‏
2262021
Deep weakly-supervised anomaly detection‏
G Pang, C Shen, H Jin, A van den Hengel‏
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023‏
1452023
Deep one-class classification via interpolated gaussian descriptor‏
Y Chen, Y Tian, G Pang, G Carneiro‏
Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 383-392, 2022‏
136*2022
Self-supervised learning for time series analysis: Taxonomy, progress, and prospects‏
K Zhang, Q Wen, C Zhang, R Cai, M Jin, Y Liu, JY Zhang, Y Liang, ...‏
IEEE transactions on pattern analysis and machine intelligence, 2024‏
1352024
Toward deep supervised anomaly detection: Reinforcement learning from partially labeled anomaly data‏
G Pang, A van den Hengel, C Shen, L Cao‏
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021‏
135*2021
Catching both gray and black swans: Open-set supervised anomaly detection‏
C Ding, G Pang, C Shen‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022‏
1252022
Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection‏
Q Zhou, G Pang, Y Tian, S He, J Chen‏
The Twelfth International Conference on Learning Representations, 2024‏
1062024
Deep graph-level anomaly detection by glocal knowledge distillation‏
R Ma, G Pang, L Chen, A van den Hengel‏
Proceedings of the fifteenth ACM international conference on web search and …, 2022‏
912022
Constrained contrastive distribution learning for unsupervised anomaly detection and localisation in medical images‏
Y Tian, G Pang, F Liu, Y Chen, SH Shin, JW Verjans, R Singh, G Carneiro‏
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021‏
872021
Pixel-wise energy-biased abstention learning for anomaly segmentation on complex urban driving scenes‏
Y Tian, Y Liu, G Pang, F Liu, Y Chen, G Carneiro‏
European Conference on Computer Vision, 246-263, 2022‏
822022
Outlier detection in complex categorical data by modelling feature value couplings‏
G Pang, L Cao, L Chen‏
Proceedings of the 25th International Joint Conference on Artificial …, 2016‏
802016
LeSiNN: Detecting anomalies by identifying least similar nearest neighbours‏
G Pang, KM Ting, D Albrecht‏
2015 IEEE international conference on data mining workshop (ICDMW), 623-630, 2015‏
722015
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מאמרים 1–20