Jianhan Wu

Jianhan Wu

Researcher

Jianhan Wu has graduated from the University of Science and Technology of China (USTC) with a master degree. He was selected for the joint cultivation laboratory program between PAT and USTC for the class of 2020. His research field mainly include computer vision, large model, AIGC, federated learning.

Interests
  • Large model
  • Privacy-preserving computation

Publications

  1. Federated Domain Generalization with Domain-specific Soft Prompts Generation, (2025), †First Author, In ICCV2025 (CCF-A)
  2. Augmentation-induced Consistency Regularization for Classification, (2022), †First Author, In IJCNN2022 (CCF-C)
  3. Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance, (2022), †First Author, In IJCNN2022 (CCF-C)
  4. Pose Guided Human Image Synthesis with Partially Decoupled GAN, (2022), †First Author, In ACML2022 (CCF-C)
  5. Variational Information Bottleneck for Effective Low-Resource Audio Classification (2021), In INTERSPEECH2021 (CCF-C)

中文期刊文章

  1. 结合少样本逻辑推理的多模态机器人故障解释一致性方法, (2025), ✉Corresponding Author, 《大数据》（CCF-T2）
  2. 联邦学习攻击与防御综述, (2022), †First Author, 《大数据》,8 (05),（CCF-T2）