# represents the equal contribution.
Preprints
-
-
Noise May Contain Transferable Knowledge: Understanding Semi-supervised Heterogeneous Domain Adaptation from an Empirical Perspective
[pdf]
[code]
Yuan Yao, Xiaopu Zhang, Yu Zhang, Jian Jin, and Qiang Yang, 2025.
Conference Papers
-
-
Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
[pdf]
[code]
Yuan Yao, Jin Song, Huixia Li, Tongtong Yuan, Jiaqi Wu, Yu Zhang
ICML 2026 (CCF A)
-
-
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
[pdf]
[code]
Yuan Yao, Lixu Wang, Jiaqi Wu, Jin Song, Simin Chen, Zehua Wang, Zijian Tian, Wei Chen, Huixia Li, and Xiaoxiao Li
CVPR 2026 (CCF A)
-
-
Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking
[pdf]
[code]
Yuan Yao, Jin Song, and Jian Jin
AAAI 2026 (CCF A)
-
-
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
[pdf]
[code]
Yulong Zhang #, Yuan Yao #, Shuhao Chen, Pengrong Jin, Yu Zhang, Jian Jin, and Jiangang Lu
ICML 2024 (CCF A)
-
-
Heterogeneous Domain Adaptation via Soft Transfer Network
[pdf]
[code]
Yuan Yao, Yu Zhang, Xutao Li, and Yunming Ye
ACMMM 2019 (CCF A)
-
-
A Semi-supervised Clustering Method through Bottleneck Distance Exploration
[pdf]
Yuan Yao, Yan Li, Ke Wang, Zhichao Huang, and Yunming Ye
ICSS 2016
Journal Papers
-
-
FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation
[pdf]
Yuwei Fan, Yuan Yao, Wei Xi, Quan Zhao, Zelei Liu, Lixin Fan, Qiang Yang, and Jian Jin
ACM TIST 2026
-
-
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network
[pdf]
[code]
Yuan Yao, Xutao Li, Yu Zhang, and Yunming Ye
TNNLS 2021 (CCF B)
-
-
Discriminative Distribution Alignment: A Unified Framework for Heterogeneous Domain Adaptation
[pdf]
[code]
Yuan Yao, Yu Zhang, Xutao Li, and Yunming Ye
PR 2020 (CCF B)
-
-
Low Resolution Image Categorization via Heterogeneous Domain Adaptation
[pdf]
Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K. Ng, Zhichao Huang, and Yu Zhang
KBS 2019 (CCF C)
-
-
MLCE: An ensemble of decision cluster crotches for classification of multi-label data
[pdf]
Yuan Yao, Yan Li, Yunming Ye, and Xutao Li
IJPRAI 2021 (CCF C)
-
-
TLVANE: a two-level variation model for attributed network embedding
[pdf]
Zhichao Huang, Xutao Li, Yunming Ye, Feng Li, Feng Liu, and Yuan Yao
NCA 2020 (CCF C)
Doctoral Thesis
-
-
Research on Heterogeneous Transfer Learning (in Chinese)
[pdf]
Yuan Yao, 2021
|