Jianhan Wu

Jianhan Wu


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.

  • Large model
  • Privacy-preserving computation


  1. Augmentation-induced Consistency Regularization for Classification (2022) In IJCNN2022 (CCF-C)
  2. Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance (2022) In IJCNN2022 (CCF-C)
  3. Pose Guided Human Image Synthesis with Partially Decoupled GAN (2022) In ACML2022 (CCF-C)
  4. Variational Information Bottleneck for Effective Low-Resource Audio Classification (2021) In INTERSPEECH2021 (CCF-C)