publications-(year)

publications by categories in reversed chronological order. * indicates co-first author.

2024

  1. NeurIPS 2024
    Model Sensitivity Aware Continual Learning
    Zhenyi Wang, and Heng Huang
    In Advances in Neural Information Processing Systems , 2024
  2. ECCV 2024
    Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
    Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, and Heng Huang
    In European Conference on Computer Vision , 2024
  3. ECCV 2024
    Training A Secure Model against Data-Free Model Extraction
    Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, and Mingchen Gao
    In European Conference on Computer Vision , 2024
  4. ICML 2024
    Defense against Model Extraction Attack by Bayesian Active Watermarking
    Zhenyi Wang, Yihan Wu, and Heng Huang
    In Forty-first International Conference on Machine Learning , 2024
  5. ICML 2024
    Representation Surgery for Multi-Task Model Merging
    Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, and Dacheng Tao
    In Forty-first International Conference on Machine Learning , 2024
  6. ICML 2024
    Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
    Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, and Dacheng Tao
    In Forty-first International Conference on Machine Learning , 2024
  7. ICML 2024
    Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
    Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, and Dacheng Tao
    In Forty-first International Conference on Machine Learning , 2024
  8. CVPR 2024
    FREE: Faster and Better Data-Free Meta-Learning
    Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, and Dacheng Tao
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2024
  9. ICLR 2024
    A Unified and General Framework for Continual Learning
    Zhenyi Wang, Yan Li, Li Shen, and Heng Huang
    In The Twelfth International Conference on Learning Representations , 2024
  10. ICLR 2024
    Improving Non-Transferable Representation Learning by Harnessing Content and Style
    Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, and Tongliang Liu
    In The Twelfth International Conference on Learning Representations , 2024
  11. ICLR 2024
    AdaMerging: Adaptive Model Merging for Multi-Task Learning
    Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, and Dacheng Tao
    In The Twelfth International Conference on Learning Representations , 2024
  12. SDM 2024
    Meta-adaptive stock movement prediction with two-stage representation learning
    Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, and James Anderson
    In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) , 2024
  13. TPAMI 2024
    A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning
    Zhenyi Wang, Enneng Yang, Li Shen, and Heng Huang
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
  14. TPAMI 2024
    Continual Learning From a Stream of APIs
    Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, and  Dacheng Tao
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

2023

  1. TPAMI 2023
    Distributionally robust memory evolution with generalized divergence for continual learning
    Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, and Mingchen Gao
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
  2. NeurIPS 2023
    Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
    Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David Doermann, and Mingchen Gao
    Advances in Neural Information Processing Systems, 2023
  3. NeurIPS 2023
    An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
    Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, and Guibing Guo
    Advances in Neural Information Processing Systems, 2023
  4. ICCV 2023
    Data augmented flatness-aware gradient projection for continual learning
    Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, and Xingwei Wang
    In Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023
  5. ICML 2023
    Learning to learn from APIs: black-box data-free meta-learning
    Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, and Dacheng Tao
    In International Conference on Machine Learning , 2023
  6. CVPR 2023
    Metamix: Towards corruption-robust continual learning with temporally self-adaptive data transformation
    Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, and Mingchen Gao
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023
  7. CVPR 2023
    Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
    Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, and Dacheng Tao
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023

2022

  1. ECCV 2022
    Meta-learning with less forgetting on large-scale non-stationary task distributions
    Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, and Mingchen Gao
    In European Conference on Computer Vision , 2022
  2. UAI 2022
    Meta-learning without data via wasserstein distributionally-robust model fusion
    Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, and Mingchen Gao
    In Uncertainty in Artificial Intelligence , 2022
  3. ICML 2022
    Improving task-free continual learning by distributionally robust memory evolution
    Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, and Mingchen Gao
    In International conference on machine learning , 2022
  4. CVPR 2022
    Learning to learn and remember super long multi-domain task sequence
    Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, and Mingchen Gao
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2022

2021

  1. ICCV 2021
    Meta learning on a sequence of imbalanced domains with difficulty awareness
    Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, and Mingchen Gao
    In Proceedings of the IEEE/CVF International Conference on Computer Vision , 2021
  2. ICLR 2021
    Meta-Learning with Neural Tangent Kernels
    Yufan Zhou*, Zhenyi Wang*, Jiayi Xian, Changyou Chen, and Jinhui Xu
    In International Conference on Learning Representations , 2021

2020

  1. EMNLP 2020
    Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
    Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, and Changyou Chen
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing , 2020
  2. ACL 2020
    Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints
    Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, and Changyou Chen
    In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , 2020
  3. ICLR 2020
    Bayesian meta sampling for fast uncertainty adaptation
    Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, and Changyou Chen
    In International Conference on Learning Representations , 2020
  4. AAAI 2020
    Learning diverse stochastic human-action generators by learning smooth latent transitions
    Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, and Changyou Chen
    Proceedings of the AAAI conference on artificial intelligence, 2020