Hi, I’m Hao Yan, a Ph.D. student in the School of Computer Science at Carleton University, working under the supervision of Dr. Yuhong Guo at the AIML Lab. My PhD thesis centers on cross-domain model adaptation and generalization. You can find my CV here.

Publications

Conference Papers

Hao Yan, Yuhong Guo. Local and Global Flatness for Federated Domain Generalization. European Conference on Computer Vision (ECCV), 2024.

Hao Yan, Yuhong Guo. Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation. British Machine Vision Conference (BMVC), 2022.

Hao Yan, Yuhong Guo, Chunsheng Yang. Source-Free Unsupervised Domain Adaptation with Surrogate Data Generation. British Machine Vision Conference (BMVC), 2021.

Workshop Papers

Hao Yan, Yuhong Guo. Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model. International Workshop on Federated Learning in the Age of Foundation Models at IJCAI 2024.

Hao Yan, Yuhong Guo. Context-Aware Self-Adaptation for Domain Generalization. In 2nd Workshop on New Frontiers in Adversarial Machine Learning at ICML 2023.

Hao Yan, Yuhong Guo, Chunsheng Yang. Augmented Self-Labeling for Source-Free Unsupervised Domain Adaptation. Workshop on Distribution Shifts: Connecting Methods and Applications at NeurIPS 2021.

Professional Services

Conference Reviewer: ICML, NeurIPS, AAAI.

Journal Reviewer: Artificial Intelligence.