Unsupervised hierarchical image segmentation based on Bayesian sequential partitioning. - Hao-Wei Yeh; Chen-Yu Tseng; Tung-Yu Wu; Sheng-Jyh Wang (ICIP, 2015)

SoFA: Source-data-free Feature Alignment for Unsupervised Domain Adaptation. - Hao-Wei Yeh; Baoyao Yang; Pong C. Yuen; Tatsuya Harada (WACV, 2021)

Boosting Source-free Domain Adaptation via Confidence-based Subsets Feature Alignment. - Hao-Wei Yeh; Thomas Westfechtel; Jia-Bin Huang 001; Tatsuya Harada (ICPR, 2022)

Model-Induced Generalization Error Bound for Information-Theoretic Representation Learning in Source-Data-Free Unsupervised Domain Adaptation. - Baoyao Yang; Hao-Wei Yeh; Tatsuya Harada; Pong C. Yuen (IEEE Trans. Image Process., 2022)

Misalignment-Free Relation Aggregation for Multi-Source-Free Domain Adaptation. - Hao-Wei Yeh; Qier Meng; Tatsuya Harada (ICCV (Workshops), 2023)

Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment. - Thomas Westfechtel; Hao-Wei Yeh; Qier Meng; Yusuke Mukuta; Tatsuya Harada (WACV, 2023)

Gradual Source Domain Expansion for Unsupervised Domain Adaptation. - Thomas Westfechtel; Hao-Wei Yeh; Dexuan Zhang; Tatsuya Harada (WACV, 2024)

Rethinking VLMs and LLMs for Image Classification. - Avi Cooper; Keizo Kato; Chia-Hsien Shih; Hiroaki Yamane; Kasper Vinken; Kentaro Takemoto; Taro Sunagawa; Hao-Wei Yeh; Jin Yamanaka; Ian Mason; Xavier Boix (CoRR, 2024)

Merge to Mix: Mixing Datasets via Model Merging. - Zhixu Silvia Tao; Kasper Vinken; Hao-Wei Yeh; Avi Cooper; Xavier Boix (CoRR, 2025)