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Guansong Pang
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- affiliation: Singapore Management University
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2020 – today
- 2024
- [j27]Rongrong Ma
, Guansong Pang
Harnessing collective structure knowledge in data augmentation for graph neural networks. Neural Networks 180: 106651 (2024) - [j26]Kexin Zhang
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6775-6794 (2024) - [j25]Tianqi Li
Learning adversarial semantic embeddings for zero-shot recognition in open worlds. Pattern Recognit. 149: 110258 (2024) - [j24]Hongzuo Xu
Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. 36(11): 5723-5736 (2024) - [j23]Chaoxi Niu
Affinity Uncertainty-Based Hard Negative Mining in Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11681-11691 (2024) - [c59]Ruohuan Fang, Guansong Pang, Xiao Bai:
Simple Image-Level Classification Improves Open-Vocabulary Object Detection. AAAI 2024: 1716-1725 - [c58]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: 4216-4224 - [c57]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: 6074-6082 - [c56]Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng:
Learning Transferable Negative Prompts for Out-of-Distribution Detection. CVPR 2024: 17584-17594 - [c55]Jiawen Zhu, Choubo Ding, Yu Tian, Guansong Pang:
Anomaly Heterogeneity Learning for Open-Set Supervised Anomaly Detection. CVPR 2024: 17616-17626 - [c54]Jiawen Zhu, Guansong Pang:
Toward Generalist Anomaly Detection via In-Context Residual Learning with Few-Shot Sample Prompts. CVPR 2024: 17826-17836 - [c53]Peng Wu, Xuerong Zhou, Guansong Pang, Yujia Sun, Jing Liu, Peng Wang, Yanning Zhang:
Open-Vocabulary Video Anomaly Detection. CVPR 2024: 18297-18307 - [c52]Chaoxi Niu, Guansong Pang, Ling Chen:
Graph Continual Learning with Debiased Lossless Memory Replay. ECAI 2024: 1808-1815 - [c51]Yuting Sun, Guansong Pang, Guanhua Ye, Tong Chen
Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. ICDE 2024: 981-994 - [c50]Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen:
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection. ICLR 2024 - [c49]Choubo Ding, Guansong Pang:
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure. IJCNN 2024: 1-8 - [c48]Rongrong Ma, Guansong Pang, Ling Chen:
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. IJCNN 2024: 1-8 - [c47]Feiyi Chen
Cluster-Wide Task Slowdown Detection in Cloud System. KDD 2024: 266-277 - [c46]Choubo Ding
Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features. ACM Multimedia 2024: 8923-8931 - [c45]Peng Wu, Xuerong Zhou, Guansong Pang, Zhiwei Yang, Qingsen Yan, Peng Wang, Yanning Zhang:
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts. ACM Multimedia 2024: 9301-9310 - [c44]Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang:
Self-supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. ECML/PKDD (6) 2024: 145-162 - [c43]Feiyi Chen
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. WWW 2024: 4138-4149 - [i64]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 abs/2401.16402 (2024) - [i63]Hezhe Qiao, Qingsong Wen
Generative Semi-supervised Graph Anomaly Detection. CoRR abs/2402.11887 (2024) - [i62]Jiawen Zhu, Guansong Pang:
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts. CoRR abs/2403.06495 (2024) - [i61]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 abs/2403.10245 (2024) - [i60]Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng:
Learning Transferable Negative Prompts for Out-of-Distribution Detection. CoRR abs/2404.03248 (2024) - [i59]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 abs/2404.10760 (2024) - [i58]Chaoxi Niu, Guansong Pang, Ling Chen:
Graph Continual Learning with Debiased Lossless Memory Replay. CoRR abs/2404.10984 (2024) - [i57]Rongrong Ma, Guansong Pang, Ling Chen:
Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks. CoRR abs/2405.04903 (2024) - [i56]Rongrong Ma, Guansong Pang, Ling Chen:
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks. CoRR abs/2405.10633 (2024) - [i55]Choubo Ding, Guansong Pang:
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure. CoRR abs/2406.01170 (2024) - [i54]Yutong Chen, Hongzuo Xu, Guansong Pang, Hezhe Qiao, Yuan Zhou, Mingsheng Shang:
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection. CoRR abs/2406.19770 (2024) - [i53]Wenjun Miao, Guansong Pang, Trong-Tung Nguyen, Ruohang Fang, Jin Zheng, Xiao Bai:
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning. CoRR abs/2407.06045 (2024) - [i52]Feiyi Chen, Yingying Zhang, Lunting Fan, Yuxuan Liang, Guansong Pang, Qingsong Wen, Shuiguang Deng:
Cluster-Wide Task Slowdown Detection in Cloud System. CoRR abs/2408.04236 (2024) - [i51]Peng Wu, Xuerong Zhou, Guansong Pang, Zhiwei Yang, Qingsen Yan, Peng Wang, Yanning Zhang:
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts. CoRR abs/2408.05905 (2024) - [i50]Peng Wu, Chengyu Pan, Yuting Yan, Guansong Pang, Peng Wang, Yanning Zhang:
Deep Learning for Video Anomaly Detection: A Review. CoRR abs/2409.05383 (2024) - [i49]Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang:
Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR abs/2409.09957 (2024) - 2023
- [j22]Hongzuo Xu
RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision. Inf. Process. Manag. 60(5): 103459 (2023) - [j21]Yu Tian
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. 90: 102930 (2023) - [j20]Jiaying Liu
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17(4): 55:1-55:24 (2023) - [j19]Hongzuo Xu
Deep Isolation Forest for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12591-12604 (2023) - [c42]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI 2023: 4676-4684 - [c41]Haoyu Wang
Glocal Energy-based Learning for Few-Shot Open-Set Recognition. CVPR 2023: 7507-7516 - [c40]Jiaxi Li, Guansong Pang
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. DSAA 2023: 1-10 - [c39]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: 1151-1161 - [c38]Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang:
Feature Prediction Diffusion Model for Video Anomaly Detection. ICCV 2023: 5504-5514 - [c37]Tri Cao, Jiawen Zhu, Guansong Pang:
Anomaly Detection under Distribution Shift. ICCV 2023: 6488-6500 - [c36]Guansong Pang
Deep Weakly-supervised Anomaly Detection. KDD 2023: 1795-1807 - [c35]Yu Tian, Guansong Pang
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) 2023: 11-21 - [c34]Hezhe Qiao, Guansong Pang:
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection. NeurIPS 2023 - [c33]Chaoxi Niu, Guansong Pang
Graph-Level Anomaly Detection via Hierarchical Memory Networks. ECML/PKDD (1) 2023: 201-218 - [c32]Zhong Zhuang, Kai Ming Ting, Guansong Pang, Shuaibin Song:
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection. SDM 2023: 703-711 - [c31]Qing Li
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning. WSDM 2023: 1273-1274 - [i48]Zhong Zhuang, Kai Ming Ting, Guansong Pang
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection. CoRR abs/2301.06794 (2023) - [i47]Chaoxi Niu, Guansong Pang
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning. CoRR abs/2301.13340 (2023) - [i46]Choubo Ding, Guansong Pang
Background Matters: Enhancing Out-of-distribution Detection with Domain Features. CoRR abs/2303.08727 (2023) - [i45]Tri Cao, Jiawen Zhu, Guansong Pang
Anomaly Detection under Distribution Shift. CoRR abs/2303.13845 (2023) - [i44]Haoyu Wang, Guansong Pang
Glocal Energy-based Learning for Few-Shot Open-Set Recognition. CoRR abs/2304.11855 (2023) - [i43]Hezhe Qiao, Guansong Pang
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection. CoRR abs/2306.00006 (2023) - [i42]Kexin Zhang, Qingsong Wen
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. CoRR abs/2306.10125 (2023) - [i41]Chaoxi Niu, Guansong Pang, Ling Chen:
Graph-level Anomaly Detection via Hierarchical Memory Networks. CoRR abs/2307.00755 (2023) - [i40]Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning:
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds. CoRR abs/2307.03416 (2023) - [i39]Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang:
RoSAS: Deep Semi-Supervised Anomaly Detection with Contamination-Resilient Continuous Supervision. CoRR abs/2307.13239 (2023) - [i38]Peng Wu, Xuerong Zhou, Guansong Pang
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection. CoRR abs/2308.11681 (2023) - [i37]Jiaxi Li, Guansong Pang
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks. CoRR abs/2308.14340 (2023) - [i36]Ruohuan Fang, Guansong Pang
Unsupervised Recognition of Unknown Objects for Open-World Object Detection. CoRR abs/2308.16527 (2023) - [i35]Feiyi Chen, Zhen Qing, Yingying Zhang, Shuiguang Deng, Yi Xiao, Guansong Pang
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection. CoRR abs/2310.05668 (2023) - [i34]Jiawen Zhu, Choubo Ding, Yu Tian, Guansong Pang
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection. CoRR abs/2310.12790 (2023) - [i33]Qihang Zhou, Guansong Pang
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection. CoRR abs/2310.18961 (2023) - [i32]Qizhou Wang, Guansong Pang
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR abs/2311.06835 (2023) - [i31]Peng Wu, Xuerong Zhou, Guansong Pang
Open-Vocabulary Video Anomaly Detection. CoRR abs/2311.07042 (2023) - [i30]Yuting Sun
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution. CoRR abs/2311.11235 (2023) - [i29]Ruohuan Fang, Guansong Pang, Xiao Bai:
Simple Image-level Classification Improves Open-vocabulary Object Detection. CoRR abs/2312.10439 (2023) - [i28]Wenjun Miao, Guansong Pang, Tianqi Li, Xiao Bai, Jin Zheng:
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning. CoRR abs/2312.10686 (2023) - 2022
- [j18]Guansong Pang
Deep Learning for Anomaly Detection: A Review. ACM Comput. Surv. 54(2): 38:1-38:38 (2022) - [j17]Guansong Pang
AI in Beijing 2022 Olympic Winter Games. IEEE Intell. Syst. 37(1): 110 (2022) - [j16]Guansong Pang
The AI Chip Race. IEEE Intell. Syst. 37(2): 111-112 (2022) - [j15]Guansong Pang
Artificial Intelligence for Natural Disaster Management. IEEE Intell. Syst. 37(6): 3-6 (2022) - [j14]Xiaoyu Xu, Guansong Pang
Joint hyperbolic and Euclidean geometry contrastive graph neural networks. Inf. Sci. 609: 799-815 (2022) - [j13]Qing Li, Guansong Pang
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis. J. Big Data 9(1): 95 (2022) - [j12]Cheng Yan
Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss. IEEE Trans. Multim. 24: 1665-1677 (2022) - [j11]Guansong Pang
Editorial Deep Learning for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2282-2286 (2022) - [c30]Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro
Deep One-Class Classification via Interpolated Gaussian Descriptor. AAAI 2022: 383-392 - [c29]Choubo Ding, Guansong Pang
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. CVPR 2022: 7378-7388 - [c28]Yu Tian, Yuyuan Liu
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) 2022: 246-263 - [c27]Guansong Pang
ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD 2022: 4892-4893 - [c26]Yu Tian, Guansong Pang
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) 2022: 88-98 - [c25]Guansong Pang
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification. PAKDD (2) 2022: 236-248 - [c24]Rongrong Ma, Guansong Pang
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. WSDM 2022: 704-714 - [i27]Jitendra Singh Malik, Guansong Pang, Anton van den Hengel:
Deep Learning for Hate Speech Detection: A Comparative Study. CoRR abs/2202.09517 (2022) - [i26]Yu Tian, Guansong Pang
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR abs/2203.11725 (2022) - [i25]Yu Tian, Guansong Pang
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR abs/2203.12121 (2022) - [i24]Choubo Ding, Guansong Pang
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. CoRR abs/2203.14506 (2022) - [i23]Hongzuo Xu, Guansong Pang, Yijie Wang, Yongjun Wang:
Deep Isolation Forest for Anomaly Detection. CoRR abs/2206.06602 (2022) - [i22]Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR abs/2207.12201 (2022) - [i21]Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR abs/2211.14512 (2022) - [i20]Qizhou Wang, Guansong Pang
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR abs/2212.01096 (2022) - 2021
- [j10]Guansong Pang
Homophily outlier detection in non-IID categorical data. Data Min. Knowl. Discov. 35(4): 1163-1224 (2021) - [j9]Guansong Pang
Guest Editorial: Non-IID Outlier Detection in Complex Contexts. IEEE Intell. Syst. 36(3): 3-4 (2021) - [j8]Jianpeng Zhang
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. IEEE Trans. Medical Imaging 40(3): 879-890 (2021) - [c23]Yu Tian, Guansong Pang
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. ICCV 2021: 4955-4966 - [c22]Cheng Yan, Guansong Pang
BV-Person: A Large-scale Dataset for Bird-view Person Re-identification. ICCV 2021: 10923-10932 - [c21]Cheng Yan, Guansong Pang
Occluded Person Re-Identification with Single-scale Global Representations. ICCV 2021: 11855-11864 - [c20]Guansong Pang
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data. KDD 2021: 1298-1308 - [c19]Guansong Pang
Toward Explainable Deep Anomaly Detection. KDD 2021: 4056-4057 - [c18]Guansong Pang
Anomaly and Novelty Detection, Explanation, and Accommodation (ANDEA). KDD 2021: 4145-4146 - [c17]Yu Tian, Guansong Pang
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. MICCAI (5) 2021: 128-140 - [c16]Guansong Pang
Deep Learning for Anomaly Detection: Challenges, Methods, and Opportunities. WSDM 2021: 1127-1130 - [i19]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 abs/2101.10030 (2021) - [i18]Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro:
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors. CoRR abs/2101.10043 (2021) - [i17]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 abs/2103.03423 (2021) - [i16]Guansong Pang, Longbing Cao
Homophily Outlier Detection in Non-IID Categorical Data. CoRR abs/2103.11516 (2021) - [i15]Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang:
DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities. CoRR abs/2104.15052 (2021) - [i14]Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel:
Explainable Deep Few-shot Anomaly Detection with Deviation Networks. CoRR abs/2108.00462 (2021) - [i13]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 abs/2109.01303 (2021) - [i12]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 abs/2111.12264 (2021) - [i11]Rongrong Ma, Guansong Pang, Ling Chen, Anton van den Hengel:
Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation. CoRR abs/2112.10063 (2021) - 2020
- [j7]Dandan Zheng, Guansong Pang
Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors. Bioinform. 36(12): 3693-3702 (2020) - [j6]Guansong Pang
Heterogeneous Univariate Outlier Ensembles in Multidimensional Data. ACM Trans. Knowl. Discov. Data 14(6): 68:1-68:27 (2020) - [c15]Guansong Pang
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CVPR 2020: 12170-12179 - [c14]Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma:
Unsupervised Representation Learning by Predicting Random Distances. IJCAI 2020: 2950-2956 - [c13]Jingjing Zhao, Yao Yang, Guansong Pang
Learning Discriminative Neural Sentiment Units for Semi-supervised Target-Level Sentiment Classification. PAKDD (2) 2020: 798-810 - [i10]Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai:
Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection. CoRR abs/2003.06780 (2020) - [i9]Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel:
Deep Learning for Anomaly Detection: A Review. CoRR abs/2007.02500 (2020) - [i8]Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao:
Deep Reinforcement Learning for Unknown Anomaly Detection. CoRR abs/2009.06847 (2020) - [i7]Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu:
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss. CoRR abs/2009.10295 (2020) - [i6]Guansong Pang, Ngoc Thien Anh Pham, Emma Baker
Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data. CoRR abs/2012.02950 (2020)
2010 – 2019
- 2019
- [b1]Guansong Pang:
Non-IID outlier detection with coupled outlier factors. University of Technology Sydney, Australia, 2019 - [j5]Songlei Jian
CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning. IEEE Trans. Knowl. Data Eng. 31(5): 853-866 (2019) - [c12]Guansong Pang
Deep Anomaly Detection with Deviation Networks. KDD 2019: 353-362 - [c11]Cheng Yan, Guansong Pang
Deep Hashing by Discriminating Hard Examples. ACM Multimedia 2019: 1535-1542 - [i5]Guansong Pang, Anton van den Hengel, Chunhua Shen:
Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning. CoRR abs/1910.13601 (2019) - [i4]Guansong Pang, Chunhua Shen, Anton van den Hengel:
Deep Anomaly Detection with Deviation Networks. CoRR abs/1911.08623 (2019) - [i3]Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen:
Unified Multifaceted Feature Learning for Person Re-Identification. CoRR abs/1911.08651 (2019) - [i2]Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma:
Unsupervised Representation Learning by Predicting Random Distances. CoRR abs/1912.12186 (2019) - 2018
- [c10]Guansong Pang, Longbing Cao
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI 2018: 3892-3899 - [c9]Guansong Pang
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. KDD 2018: 2041-2050 - [i1]Guansong Pang, Longbing Cao, Ling Chen, Huan Liu:
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection. CoRR abs/1806.04808 (2018) - 2017
- [c8]Guansong Pang
Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data. CIKM 2017: 807-816 - [c7]Songlei Jian
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning. IJCAI 2017: 1937-1943 - [c6]Guansong Pang
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection. IJCAI 2017: 2585-2591 - 2016
- [j4]Guansong Pang, Kai Ming Ting, David W. Albrecht, Huidong Jin:
ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets. J. Artif. Intell. Res. 57: 593-620 (2016) - [c5]Guansong Pang, Longbing Cao
Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings. ICDM 2016: 410-419 - [c4]Guansong Pang, Longbing Cao, Ling Chen:
Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings. IJCAI 2016: 1902-1908 - 2015
- [j3]Guansong Pang
CenKNN: a scalable and effective text classifier. Data Min. Knowl. Discov. 29(3): 593-625 (2015) - [c3]Guansong Pang
LeSiNN: Detecting Anomalies by Identifying Least Similar Nearest Neighbours. ICDM Workshops 2015: 623-630 - 2013
- [j2]Guansong Pang
A generalized cluster centroid based classifier for text categorization. Inf. Process. Manag. 49(2): 576-586 (2013) - [c2]Guansong Pang
A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging. ADMA (1) 2013: 397-409 - [c1]Guansong Pang
An effective class-centroid-based dimension reduction method for text classification. WWW (Companion Volume) 2013: 223-224 - 2012
- [j1]Shengyi Jiang, Guansong Pang
An improved K-nearest-neighbor algorithm for text categorization. Expert Syst. Appl. 39(1): 1503-1509 (2012)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
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last updated on 2024-11-15 20:37 CET by the dblp team
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