Search Results - "Pang, Guansong"

What Are Anomalies in a Network?

Authors: Ting, Kai Ming Zhuang, Zhong Pang, Guansong et al.

Source: ACM Transactions on Knowledge Discovery from Data; Jul2025, Vol. 19 Issue 6, p1-34, 34p

Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark.

Authors: Zhang, Jiangning Wang, Chengjie Li, Xiangtai et al.

Source: International Journal of Computer Vision; May2026, Vol. 134 Issue 5, p1-23, 23p

PLM-effector: unleashing the potential of protein language models for bacterial secreted protein prediction.

Authors: Zheng, Dandan Chen, Lihong Pang, Guansong et al.

Source: Briefings in Bioinformatics; Mar2026, Vol. 27 Issue 2, p1-12, 12p

Homophily outlier detection in non-IID categorical data.

Authors: Pang, Guansong Cao, Longbing Chen, Ling

Source: Data Mining & Knowledge Discovery; Jul2021, Vol. 35 Issue 4, p1163-1224, 62p

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Attention-driven pseudo-label self-training for weakly supervised video anomaly detection.

Authors: Yang, Zhiwei Liu, Jing Pang, Guansong et al.

Source: Pattern Recognition; Sep2026, Vol. 177, pN.PAG-N.PAG, 1p

Single-frame supervision for temporal video anomaly grounding.

Authors: Long, Yuzhou Wu, Peng Yan, Yuting et al.

Source: Neurocomputing; Mar2026, Vol. 668, pN.PAG-N.PAG, 1p

OpenCIL: Benchmarking out-of-distribution detection in class incremental learning.

Authors: Miao, Wenjun Pang, Guansong Nguyen, Trong-Tung et al.

Source: Pattern Recognition; Mar2026:Part A, Vol. 171, pN.PAG-N.PAG, 1p

Robustness test-time augmentation via learnable aggregation and anomaly detection.

Authors: Xiong, Haoyu Yang, Leixin Fang, Gang et al.

Source: Journal of Intelligent & Fuzzy Systems; 2024, Vol. 46 Issue 4, p8783-8798, 16p

A contextual-compositional approach to discover associations between health determinants and health indicators for neonatal mortality rate monitoring in situations of anomalies.

Authors: Baroni, Laís Scoralick, Lucas Reis, Augusto et al.

Source: PLoS ONE. 12/11/2024, Vol. 19 Issue 12, p1-13. 13p.

Variational Pose Prediction with Dynamic Sample Selection from Sparse Tracking Signals.

Authors: Milef, N. Sueda, S. Kalantari, N. Khademi

Source: Computer Graphics Forum; May2023, Vol. 42 Issue 2, p359-369, 11p, 14 Color Photographs, 3 Charts

Joint hyperbolic and Euclidean geometry contrastive graph neural networks.

Authors: Xu, Xiaoyu Pang, Guansong Wu, Di et al.

Source: Information Sciences; Sep2022, Vol. 609, p799-815, 17p

Editorial Deep Learning for Anomaly Detection.

Authors: Pang, Guansong Aggarwal, Charu Shen, Chunhua et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Jun2022, Vol. 33 Issue 6, p2282-2286, 5p

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Harnessing collective structure knowledge in data augmentation for graph neural networks.

Authors: Ma, Rongrong Pang, Guansong Chen, Ling

Source: Neural Networks; Dec2024, Vol. 180, pN.PAG-N.PAG, 1p

CenKNN: a scalable and effective text classifier.

Authors: Pang, Guansong Jin, Huidong Jiang, Shengyi

Source: Data Mining & Knowledge Discovery; May2015, Vol. 29 Issue 3, p593-625, 33p

Learning adversarial semantic embeddings for zero-shot recognition in open worlds.

Authors: Li, Tianqi Pang, Guansong Bai, Xiao et al.

Source: Pattern Recognition; May2024, Vol. 149, pN.PAG-N.PAG, 1p

RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision.

Authors: Xu, Hongzuo Wang, Yijie Pang, Guansong et al.

Source: Information Processing & Management; Sep2023, Vol. 60 Issue 5, pN.PAG-N.PAG, 1p

Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey.

Authors: Zehra, Sehar Faseeha, Ummay Syed, Hassan Jamil et al.

Source: Sensors (14248220). Jun2023, Vol. 23 Issue 11, p5340. 26p.

Guest Editorial: Non-IID Outlier Detection in Complex Contexts.

Authors: Pang, Guansong Angiulli, Fabrizio Cucuringu, Mihai et al.

Source: IEEE Intelligent Systems; May-Jun2021, Vol. 36 Issue 3, p3-4, 2p