Guansong Pang
Orcid: 0000-0002-9877-2716
According to our database1,
Guansong Pang
authored at least 96 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning.
CoRR, 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts.
CoRR, 2024
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images.
Medical Image Anal., December, 2023
RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision.
Inf. Process. Manag., September, 2023
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data, May, 2023
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution.
CoRR, 2023
CoRR, 2023
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Anomaly Detection.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.
CoRR, 2023
CoRR, 2023
CoRR, 2023
International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss.
IEEE Trans. Multim., 2022
An efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis.
J. Big Data, 2022
Inf. Sci., 2022
CoRR, 2022
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder.
CoRR, 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Deep Depression Prediction on Longitudinal Data via Joint Anomaly Ranking and Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE Intell. Syst., 2021
Data Min. Knowl. Discov., 2021
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation.
CoRR, 2021
CoRR, 2021
Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors.
CoRR, 2021
Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features.
CoRR, 2021
Proceedings of the WSDM '21, 2021
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
ACM Trans. Knowl. Discov. Data, 2020
Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data.
CoRR, 2020
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss.
CoRR, 2020
Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors.
Bioinform., 2020
Learning Discriminative Neural Sentiment Units for Semi-supervised Target-Level Sentiment Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
IEEE Trans. Knowl. Data Eng., 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Selective Value Coupling Learning for Detecting Outliers in High-Dimensional Categorical Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
ZERO++: Harnessing the Power of Zero Appearances to Detect Anomalies in Large-Scale Data Sets.
J. Artif. Intell. Res., 2016
Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2013
Inf. Process. Manag., 2013
An effective class-centroid-based dimension reduction method for text classification.
Proceedings of the 22nd International World Wide Web Conference, 2013
A Simple Integration of Social Relationship and Text Data for Identifying Potential Customers in Microblogging.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
2012
Expert Syst. Appl., 2012