Scholar
Haiming Yao
Google Scholar ID: pHWjvoQAAAAJ
Tsinghua University
Anomaly Detection
Multi-Task Learning
AI for Science
Fine-tuning
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Citations & Impact
All-time
Citations
373
H-index
11
i10-index
14
Publications
20
Co-authors
13
list available
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No contact links provided.
Publications
10 items
Template-Based Feature Aggregation Network for Industrial Anomaly Detection
2026
Cited
0
A Feature Shuffling and Restoration Strategy for Universal Unsupervised Anomaly Detection
2026
Cited
0
URA-Net: Uncertainty-Integrated Anomaly Perception and Restoration Attention Network for Unsupervised Anomaly Detection
2026
Cited
0
Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation
2025
Cited
0
CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection
2025
Cited
0
A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects
2025
Cited
0
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning
2025
Cited
0
Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
2025
Cited
0
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Resume (English only)
Co-authors
13 total
Wei Luo
Tsinghua University
Yunkang Cao
Hunan University
Weiming Shen
Huazhong University of Science and Technology
Weihang Zhang
Assistant Professor, School of Medical Technology, Beijing Institute of Technology
Jianan Lou
State Key Laboratory of Precision Space-Time Information Sensing Technology, Tsinghua University
Co-author 6
Yuqi Cheng
Huazhong University of Science and Technology
Qiyu Chen
Institute of Automation, Chinese Academy of Sciences
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