Publications

Publications

# 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