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ORCIDZhenyi Wang 0001
Person information
- affiliation: University of Maryland, College Park, MD, USA
Other persons with the same name
- Zhenyi Wang — disambiguation page
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2020 – today
- 2024
[j6]Tiehang Duan
, Zhenyi Wang, Fang Li, Gianfranco Doretto, Donald A. Adjeroh, Yiyi Yin, Cui Tao:
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer. Neural Networks 176: 106338 (2024)- [j5]Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
Continual Learning From a Stream of APIs. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11432-11445 (2024) - [j4]Tiehang Duan, Zhenyi Wang, Li Shen, Gianfranco Doretto, Donald A. Adjeroh, Fang Li, Cui Tao:
Retain and Adapt: Online Sequential EEG Classification With Subject Shift. IEEE Trans. Artif. Intell. 5(9): 4479-4492 (2024) - [j3]Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Lei Li, Yu Li, Chun Yuan:
Meta-Learning Without Data via Unconditional Diffusion Models. IEEE Trans. Circuits Syst. Video Technol. 34(11): 11874-11885 (2024) - [c30]Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao:
Free: Faster and Better Data-Free Meta-Learning. CVPR 2024: 23273-23282 - [c29]Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang:
Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt. ECCV (81) 2024: 1-18 - [c28]Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao:
Training A Secure Model Against Data-Free Model Extraction. ECCV (79) 2024: 323-340 - [c27]Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu:
Improving Non-Transferable Representation Learning by Harnessing Content and Style. ICLR 2024 - [c26]Zhenyi Wang, Yan Li, Li Shen, Heng Huang:
A Unified and General Framework for Continual Learning. ICLR 2024 - [c25]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR 2024 - [c24]Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao:
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications. ICML 2024 - [c23]Zhenyi Wang, Yihan Wu, Heng Huang:
Defense against Model Extraction Attack by Bayesian Active Watermarking. ICML 2024 - [c22]Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao:
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. ICML 2024 - [c21]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. ICML 2024 - [c20]Zhenyi Wang, Heng Huang:
Model Sensitivity Aware Continual Learning. NeurIPS 2024 - [c19]Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson:
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. SDM 2024: 508-516 - [i22]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. CoRR abs/2402.02705 (2024) - [i21]Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang:
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt. CoRR abs/2403.09857 (2024) - [i20]Zhenyi Wang, Yan Li, Li Shen, Heng Huang:
A Unified and General Framework for Continual Learning. CoRR abs/2403.13249 (2024) - [i19]Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao:
FREE: Faster and Better Data-Free Meta-Learning. CoRR abs/2405.00984 (2024) - [i18]Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao:
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. CoRR abs/2405.16560 (2024) - [i17]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. CoRR abs/2410.14389 (2024) - 2023
- [j2]Tiehang Duan, Zhenyi Wang, Sheng Liu, Yiyi Yin, Sargur N. Srihari:
UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals. Neurocomputing 538: 126210 (2023) - [j1]Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao:
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14337-14352 (2023) - [c18]Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Replay with Stochastic Neural Transformation for Online Continual EEG Classification. BIBM 2023: 1874-1879 - [c17]Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao:
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CVPR 2023: 7736-7745 - [c16]Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao:
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR 2023: 24521-24531 - [c15]Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Distributionally Robust Cross Subject EEG Decoding. ECAI 2023: 575-582 - [c14]Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang:
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV 2023: 5607-5616 - [c13]Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML 2023: 13610-13627 - [c12]Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao:
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS 2023 - [c11]Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo:
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS 2023 - [i16]Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao:
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CoRR abs/2303.11183 (2023) - [i15]Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. CoRR abs/2305.18413 (2023) - [i14]Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang:
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR abs/2307.09218 (2023) - [i13]Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Distributionally Robust Cross Subject EEG Decoding. CoRR abs/2308.11651 (2023) - [i12]Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
Continual Learning From a Stream of APIs. CoRR abs/2309.00023 (2023) - [i11]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR abs/2310.02575 (2023) - [i10]Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Task-Distributionally Robust Data-Free Meta-Learning. CoRR abs/2311.14756 (2023) - 2022
- [c10]Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao:
Learning to Learn and Remember Super Long Multi-Domain Task Sequence. CVPR 2022: 7972-7982 - [c9]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao:
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. ECCV (20) 2022: 221-238 - [c8]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML 2022: 22985-22998 - [c7]Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao:
Meta-learning without data via Wasserstein distributionally-robust model fusion. UAI 2022: 2045-2055 - [i9]Tiehang Duan, Zhenyi Wang, Sheng Liu, Sargur N. Srihari, Hui Yang:
Uncertainty Detection in EEG Neural Decoding Models. CoRR abs/2201.00627 (2022) - [i8]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR abs/2207.07256 (2022) - [i7]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao:
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. CoRR abs/2209.01501 (2022) - 2021
- [c6]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV 2021: 8927-8937 - [c5]Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu:
Meta-Learning with Neural Tangent Kernels. ICLR 2021 - [i6]Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu:
Meta-Learning with Neural Tangent Kernels. CoRR abs/2102.03909 (2021) - [i5]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR abs/2109.14120 (2021) - 2020
- [c4]Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen:
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. AAAI 2020: 12281-12288 - [c3]Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen:
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL 2020: 1072-1086 - [c2]Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. EMNLP (1) 2020: 236-255 - [c1]Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen:
Bayesian Meta Sampling for Fast Uncertainty Adaptation. ICLR 2020 - [i4]Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen:
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. CoRR abs/2005.00969 (2020) - [i3]Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. CoRR abs/2009.09364 (2020)
2010 – 2019
- 2019
- [i2]Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen:
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. CoRR abs/1912.10150 (2019) - 2018
- [i1]Zhenyi Wang, Olga Veksler:
Location Augmentation for CNN. CoRR abs/1807.07044 (2018)
Coauthor Index
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