Wang, Zhenyi

30 publications

TMLR 2026 AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective Zhenyi Wang, Siyu Luan

NeurIPS 2025 Adaptive Defense Against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Dacheng Tao

ICLR 2025 Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao

ICLR 2025 Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao

ICLR 2024 A Unified and General Framework for Continual Learning Zhenyi Wang, Yan Li, Li Shen, Heng Huang

ICLR 2024 AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

ICML 2024 Defense Against Model Extraction Attack by Bayesian Active Watermarking Zhenyi Wang, Yihan Wu, Heng Huang

CVPR 2024 FREE: Faster and Better Data-Free Meta-Learning Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao

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, Heng Huang

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, Tongliang Liu

NeurIPS 2024 Model Sensitivity Aware Continual Learning Zhenyi Wang, Heng Huang

ICML 2024 Representation Surgery for Multi-Task Model Merging Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao

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, Dacheng Tao

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, Dacheng Tao

ECCV 2024 Training a Secure Model Against Data-Free Model Extraction Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao

NeurIPS 2023 An Efficient Dataset Condensation Plugin and Its Application to Continual Learning Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo

CVPR 2023 Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao

ICCV 2023 Data Augmented Flatness-Aware Gradient Projection for Continual Learning Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang

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, Mingchen Gao

ICML 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao

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, Mingchen Gao

ICML 2022 Improving Task-Free Continual Learning by Distributionally Robust Memory Evolution Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao

CVPR 2022 Learning to Learn and Remember Super Long Multi-Domain Task Sequence Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao

NeurIPSW 2022 Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson

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, Mingchen Gao

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, Mingchen Gao

ICCV 2021 Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao

ICLR 2021 Meta-Learning with Neural Tangent Kernels Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu

ICLR 2020 Bayesian Meta Sampling for Fast Uncertainty Adaptation Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen

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, Changyou Chen