Location Augmentation for CNN. - Zhenyi Wang 001; Olga Veksler (CoRR, 2018)

Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. - Zhenyi Wang 001; Ping Yu; Yang Zhao; Ruiyi Zhang 002; Yufan Zhou 001; Junsong Yuan 001; Changyou Chen (AAAI, 2020)

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. - Zhenyi Wang 001; Xiaoyang Wang; Bang An 001; Dong Yu 001; Changyou Chen (ACL, 2020)

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. - Bang An 001; Jie Lyu 004; Zhenyi Wang 001; Chunyuan Li; Changwei Hu; Fei Tan 002; Ruiyi Zhang 002; Yifan Hu 001; Changyou Chen (EMNLP (1), 2020)

Bayesian Meta Sampling for Fast Uncertainty Adaptation. - Zhenyi Wang 001; Yang Zhao; Ping Yu; Ruiyi Zhang 002; Changyou Chen (ICLR, 2020)

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. - Zhenyi Wang 001; Tiehang Duan; Le Fang; Qiuling Suo; Mingchen Gao (ICCV, 2021)

Meta-Learning with Neural Tangent Kernels. - Yufan Zhou 001; Zhenyi Wang 001; Jiayi Xian; Changyou Chen; Jinhui Xu 001 (ICLR, 2021)

Learning to Learn and Remember Super Long Multi-Domain Task Sequence. - Zhenyi Wang 001; Li Shen 008; Tiehang Duan; Donglin Zhan; Le Fang; Mingchen Gao (CVPR, 2022)

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. - Zhenyi Wang 001; Li Shen 008; Le Fang; Qiuling Suo; Donglin Zhan; Tiehang Duan; Mingchen Gao (ECCV (20), 2022)

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. - Zhenyi Wang 001; Li Shen 008; Le Fang; Qiuling Suo; Tiehang Duan; Mingchen Gao (ICML, 2022)

Meta-learning without data via Wasserstein distributionally-robust model fusion. - Zhenyi Wang 001; Xiaoyang Wang; Li Shen 008; Qiuling Suo; Kaiqiang Song; Dong Yu 001; Yan Shen 002; Mingchen Gao (UAI, 2022)

Uncertainty Detection in EEG Neural Decoding Models. - Tiehang Duan; Zhenyi Wang 001; Sheng Liu 001; Sargur N. Srihari; Hui Yang (CoRR, 2022)

Replay with Stochastic Neural Transformation for Online Continual EEG Classification. - Tiehang Duan; Zhenyi Wang 001; Gianfranco Doretto; Fang Li 011; Cui Tao; Donald A. Adjeroh (BIBM, 2023)

Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. - Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Tongliang Liu; Chun Yuan; Dacheng Tao (CVPR, 2023)

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. - Zhenyi Wang 001; Li Shen 008; Donglin Zhan; Qiuling Suo; Yanjun Zhu; Tiehang Duan; Mingchen Gao (CVPR, 2023)

Distributionally Robust Cross Subject EEG Decoding. - Tiehang Duan; Zhenyi Wang 001; Gianfranco Doretto; Fang Li 011; Cui Tao; Donald A. Adjeroh (ECAI, 2023)

Data Augmented Flatness-aware Gradient Projection for Continual Learning. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Shiwei Liu 003; Guibing Guo; Xingwei Wang 001 (ICCV, 2023)

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. - Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Baoyuan Wu; Chun Yuan; Dacheng Tao (ICML, 2023)

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. - Zhenyi Wang 001; Li Shen 008; Tongliang Liu; Tiehang Duan; Yanjun Zhu; Donglin Zhan; David S. Doermann; Mingchen Gao (NeurIPS, 2023)

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Tongliang Liu; Guibing Guo (NeurIPS, 2023)

Task-Distributionally Robust Data-Free Meta-Learning. - Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Yongxian Wei; Baoyuan Wu; Chun Yuan; Dacheng Tao (CoRR, 2023)

UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals. - Tiehang Duan; Zhenyi Wang 001; Sheng Liu 001; Yiyi Yin; Sargur N. Srihari (Neurocomputing, 2023)

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. - Zhenyi Wang 001; Li Shen 008; Tiehang Duan; Qiuling Suo; Le Fang; Wei Liu 005; Mingchen Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Free: Faster and Better Data-Free Meta-Learning. - Yongxian Wei; Zixuan Hu; Zhenyi Wang 001; Li Shen 008; Chun Yuan; Dacheng Tao (CVPR, 2024)

Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt. - Chenxi Liu; Zhenyi Wang 001; Tianyi Xiong; Ruibo Chen; Yihan Wu; Junfeng Guo; Heng Huang (ECCV (81), 2024)

Training A Secure Model Against Data-Free Model Extraction. - Zhenyi Wang 001; Li Shen 008; Junfeng Guo; Tiehang Duan; Siyu Luan; Tongliang Liu; Mingchen Gao (ECCV (79), 2024)

Improving Non-Transferable Representation Learning by Harnessing Content and Style. - Ziming Hong; Zhenyi Wang 001; Li Shen 008; Yu Yao 005; Zhuo Huang; Shiming Chen 002; Chuanwu Yang; Mingming Gong; Tongliang Liu (ICLR, 2024)

A Unified and General Framework for Continual Learning. - Zhenyi Wang 001; Yan Li; Li Shen 008; Heng Huang (ICLR, 2024)

AdaMerging: Adaptive Model Merging for Multi-Task Learning. - Enneng Yang; Zhenyi Wang 001; Li Shen 008; Shiwei Liu 003; Guibing Guo; Xingwei Wang 001; Dacheng Tao (ICLR, 2024)

Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications. - Zixuan Hu; Yongxian Wei; Li Shen 008; Zhenyi Wang 001; Lei Li 051; Chun Yuan; Dacheng Tao (ICML, 2024)

Defense against Model Extraction Attack by Bayesian Active Watermarking. - Zhenyi Wang 001; Yihan Wu; Heng Huang (ICML, 2024)

Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. - Yongxian Wei; Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Yu Li 006; Chun Yuan; Dacheng Tao (ICML, 2024)

Representation Surgery for Multi-Task Model Merging. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Guibing Guo; Xiaojun Chen 006; Xingwei Wang 001; Dacheng Tao (ICML, 2024)

Model Sensitivity Aware Continual Learning. - Zhenyi Wang 001; Heng Huang (NeurIPS, 2024)

Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. - Donglin Zhan; Yusheng Dai; Yiwei Dong; Jinghai He; Zhenyi Wang 001; James Anderson 001 (SDM, 2024)

SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Guibing Guo; Xingwei Wang 001; Xiaochun Cao; Jie Zhang 002; Dacheng Tao (CoRR, 2024)

Online continual decoding of streaming EEG signal with a balanced and informative memory buffer. - Tiehang Duan; Zhenyi Wang 001; Fang Li 011; Gianfranco Doretto; Donald A. Adjeroh; Yiyi Yin; Cui Tao (Neural Networks, 2024)

Retain and Adapt: Online Sequential EEG Classification With Subject Shift. - Tiehang Duan; Zhenyi Wang 001; Li Shen 008; Gianfranco Doretto; Donald A. Adjeroh; Fang Li 011; Cui Tao (IEEE Trans. Artif. Intell., 2024)

Meta-Learning Without Data via Unconditional Diffusion Models. - Yongxian Wei; Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Lei Li 051; Yu Li 006; Chun Yuan (IEEE Trans. Circuits Syst. Video Technol., 2024)

Continual Learning From a Stream of APIs. - Enneng Yang; Zhenyi Wang 001; Li Shen 008; Nan Yin; Tongliang Liu; Guibing Guo; Xingwei Wang 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense. - Siyu Luan; Zhenyi Wang 001; Li Shen 008; Zonghua Gu 001; Chao Wu; Dacheng Tao (ICLR, 2025)

Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation. - Yongxian Wei; Zixuan Hu; Li Shen 008; Zhenyi Wang 001; Chun Yuan; Dacheng Tao (ICLR, 2025)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. - Zhenyi Wang 001; Enneng Yang; Li Shen 008; Heng Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection. - Enneng Yang; Li Shen 008; Zhenyi Wang 001; Shiwei Liu 003; Guibing Guo; Xing-wei Wang 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)