Preprints

Noise May Contain Transferable Knowledge: Understanding Semi-supervised Heterogeneous Domain Adaptation from an Empirical Perspective [Code]

Yuan Yao, Xiaopu Zhang, Yu Zhang, Jian Jin, and Qiang Yang, 2025.

FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning [Code]

Yuan Yao, Lixu Wang, Jiaqi Wu, Jin Song, Simin Chen, Zehua Wang, Zijian Tian, Wei Chen, Huixia Li, and Xiaoxiao Li, 2025.

Conference Papers

Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking [Code]

Yuan Yao, Jin Song, and Jian Jin
Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence (AAAI). Singapore, January, 2026. (CCF A)

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective [Code]

Yulong Zhang ^#, Yuan Yao ^#, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, and Jiangang Lu
Proceedings of the 41th International Conference on Machine Learning (ICML). Vienna, Austria, July. 2024. (CCF A)

Heterogeneous Domain Adaptation via Soft Transfer Network [Code]

Yuan Yao, Yu Zhang, Xutao Li, and Yunming Ye
Proceedings of the 27th ACM International Conference on Multimedia (ACMMM). Nice, France, Oct. 2019. (CCF A)

A Semi-supervised Clustering Method through Bottleneck Distance Exploration

Yuan Yao, Yan Li, Ke Wang, Zhichao Huang, and Yunming Ye
Proceedings of the 9th International Conference on Service Science (ICSS), Chongqing, China, Oct. 2016. (Best Student Paper Award)

Journal Papers

FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation

Yuwei Fan, Yuan Yao, Wei Xi, Quan Zhao, Zelei Liu, Lixin Fan, Qiang Yang, and Jian Jin
ACM Transactions on Intelligent Systems and Technology (ACM TIST). Accepted in 2025 (in press).

Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network [Code]

Yuan Yao, Xutao Li, Yu Zhang, and Yunming Ye
IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2021. (CCF B)

Discriminative Distribution Alignment: A Unified Framework for Heterogeneous Domain Adaptation [Code]

Yuan Yao, Yu Zhang, Xutao Li, and Yunming Ye
Pattern Recognition (PR). 2020. (CCF B)

Low Resolution Image Categorization via Heterogeneous Domain Adaptation

Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K. Ng, Zhichao Huang, and Yu Zhang
Knowledge-Based Systems (KBS). 2019. (CCF C)

MLCE: An ensemble of decision cluster crotches for classification of multi-label data

Yuan Yao, Yan Li, Yunming Ye, and Xutao Li
International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). 2021. (CCF C)

TLVANE: a two-level variation model for attributed network embedding

Zhichao Huang, Xutao Li, Yunming Ye, Feng Li, Feng Liu, and Yuan Yao
Neural Computing and Applications (NCA). 2020. (CCF C)

Doctoral Thesis

Research on Heterogeneous Transfer Learning (in Chinese)

Yuan Yao, 2021