publications

(*) denotes equal contribution

2025

    2024

    1. TPAMI
      Training Networks in Null Space of Feature Covariance With Self-Supervision for Incremental Learning
      Shipeng Wang, Xiaorong Li, Jian Sun, and Zongben Xu
      IEEE Transactions on Pattern Analysis and Machine Intelligence
    2. PR
      AMMD: Attentive maximum mean discrepancy for few-shot image classification
      Ji Wu, Shipeng Wang*, and Jian Sun
      Pattern Recognition

    2023

    1. TPAMI
      Variational Data-Free Knowledge Distillation for Continual Learning
      Xiaorong Li, Shipeng Wang, Jian Sun, and Zongben Xu
      IEEE Transactions on Pattern Analysis and Machine Intelligence
    2. PR
      Memory efficient data-free distillation for continual learning
      Xiaorong Li, Shipeng Wang*, Jian Sun, and Zongben Xu
      Pattern Recognition

    2022

    1. TPAMI
      Variational HyperAdam: A Meta-Learning Approach to Network Training
      Shipeng Wang, Yan Yang, Jian Sun, and Zongben Xu
      IEEE Transactions on Pattern Analysis and Machine Intelligence

    2021

    1. CVPROral
      Training Networks in Null Space of Feature Covariance for Continual Learning
      Shipeng Wang, Xiaorong Li, Jian Sun, and Zongben Xu
      In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
      Oral Presentation [Top %4]

    2019

    1. AAAIPoster Spotlight
      HyperAdam: A Learnable Task-Adaptive Adam for Network Training
      Shipeng Wang, Jian Sun, and Zongben Xu
      In Proceedings of the AAAI Conference on Artificial Intelligence
      Poster Spotlight