News

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Experience

Zhejiang University of Technology 2013-2019 Bachelor
RoboCup 2014-2016
Zhejiang Wasai Intelligent Technology Co., LTD 8/2017-5/2018 Software engineer
University of Jinan 6/2019-6/2022 Master
DeeCamp 2021 7/2021-9/2021
University of Surrey 10/2022- PhD

Publication

  1. J. Wu and L. Wang. ArcGrad: Angular gradient margin loss for classification. In 2020 International Joint Conference on Neural Networks (IJCNN), 2020.
  2. J. Wu, S. Mo, and L. Wang. An Empirical Study of Uncertainty Gap for Disentangling Factors. In Proceedings of the 1st International Workshop on Trustworthy AI for Multimedia Computing (Trustworthy AI ’21), 2021.
  3. J. Wu, L. Wang, and C. Liu. DEFT: Distilling Entangled Factors. Machine Learning , 2022.
  4. Wu, Jiantao, et al. "Variantional autoencoder with decremental information bottleneck for disentanglement." 34th British Machine Vision Conference 2023 (BMVC), 2023.
  5. Wu, Jiantao, et al. "Masked Momentum Contrastive Learning for Semantic Understanding by Observation." 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024.
  6. Wu, Jiantao, et al. "DailyMAE: Towards Pretraining Masked Autoencoders in One Day." arXiv preprint arXiv:2404.00509 (2024).