He, Shibo

6 publications

NeurIPS 2025 FairDD: Fair Dataset Distillation Qihang Zhou, ShenHao Fang, Shibo He, Wenchao Meng, Jiming Chen

ICLR 2024 AnomalyCLIP: Object-Agnostic Prompt Learning for Zero-Shot Anomaly Detection Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen

IJCAI 2024 Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection Chen Liu, Shibo He, Qihang Zhou, Shizhong Li, Wenchao Meng

ECCV 2024 MoEAD: A Parameter-Efficient Model for Multi-Class Anomaly Detection Shiyuan Meng, Wenchao Meng, Qihang Zhou, Shizhong Li, Weiye Hou, Shibo He

NeurIPS 2024 PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-Shot 3D Anomaly Detection Qihang Zhou, Jiangtao Yan, Shibo He, Wenchao Meng, Jiming Chen

AAAI 2023 Detecting Multivariate Time Series Anomalies with Zero Known Label Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng