4
Publications
146
Citations
4
H-Index
2021
Active since
Affiliations
Hao-Wei Yeh is an author at The University of Tokyo specializing in deep learning, computer science, and domain adaptation.
Top concepts
EngineeringData ScienceDeep LearningComputer ScienceMachine LearningDomain AdaptationTransfer LearningKnowledge DiscoveryPattern RecognitionSemi-supervised Learning
Publications per year
2021–2024
4
4
SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation
Hao-Wei Yeh, Baoyao Yang, Pong C. Yuen et al. · 2021 · 76 citations
Thomas Westfechtel, Hao-Wei Yeh, Qier Meng et al. · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2023 · 34 citations
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
Thomas Westfechtel, Hao-Wei Yeh, Dexuan Zhang et al. · 2024 · 23 citations
Artificial Intelligence, Source Dataset, Llm Fine-tuning +16
Baoyao Yang, Hao-Wei Yeh, Tatsuya Harada et al. · IEEE Transactions on Image Processing · 2021 · 13 citations
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