Zhenyi Wang - RankMe

69 papers A* 24A 3Journal 37Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Release the Potential of Memory Buffer in Continual Learning: A Dynamic System Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Zhenyi Wang, Li Shen, Tiehang Duan, Yanjun Zhu, Tongliang Liu, Mingchen Gao, Dacheng Tao
2026	J	`jnl`	Task-Distributionally Robust Data-Free Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
2026	J	`jnl`	Teleportation: Defense Against Stealing Attacks of Data-Driven Healthcare APIs. IEEE Trans. Artif. Intell. Tiehang Duan, Zhenyi Wang, Li Shen, Siyu Luan, Fang Li, Gianfranco Doretto, Donald A. Adjeroh, Shuteng Niu, Jianfu Li, Cui Tao
2025	J	`jnl`	A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
2025	J	`jnl`	Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler. CoRR Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Dacheng Tao
2025	J	`jnl`	Dynamic Feedback Engines: Layer-Wise Control for Self-Regulating Continual Learning. CoRR Hengyi Wu, Zhenyi Wang, Heng Huang
2025	A*	`conf`	Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense. ICLR Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao
2025	A*	`conf`	Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation. ICLR Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao
2025	J	`jnl`	Revisiting Flatness-Aware Optimization in Continual Learning With Orthogonal Gradient Projection. IEEE Trans. Pattern Anal. Mach. Intell. Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xing-wei Wang, Dacheng Tao
2025	J	`jnl`	Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications. CoRR Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao
2025	J	`jnl`	Understanding Catastrophic Interference On the Identifibility of Latent Representations. CoRR Yuke Li, Yujia Zheng, Tianyi Xiong, Zhenyi Wang, Heng Huang
2024	A*	`conf`	A Unified and General Framework for Continual Learning. ICLR Zhenyi Wang, Yan Li, Li Shen, Heng Huang
2024	J	`jnl`	A Unified and General Framework for Continual Learning. CoRR Zhenyi Wang, Yan Li, Li Shen, Heng Huang
2024	A*	`conf`	AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2024	J	`jnl`	Continual Learning From a Stream of APIs. IEEE Trans. Pattern Anal. Mach. Intell. Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2024	A*	`conf`	Defense against Model Extraction Attack by Bayesian Active Watermarking. ICML Zhenyi Wang, Yihan Wu, Heng Huang
2024	J	`jnl`	FREE: Faster and Better Data-Free Meta-Learning. CoRR Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao
2024	J	`jnl`	Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt. CoRR Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
2024	—	`conf`	Few-Shot Class Incremental Learning with Attention-Aware Self-adaptive Prompt. ECCV (81) Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
2024	A*	`conf`	Free: Faster and Better Data-Free Meta-Learning. CVPR Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao
2024	A*	`conf`	Improving Non-Transferable Representation Learning by Harnessing Content and Style. ICLR Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu
2024	A	`conf`	Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. SDM Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson
2024	J	`jnl`	Meta-Learning Without Data via Unconditional Diffusion Models. IEEE Trans. Circuits Syst. Video Technol. Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Lei Li, Yu Li, Chun Yuan
2024	A*	`conf`	Model Sensitivity Aware Continual Learning. NeurIPS Zhenyi Wang, Heng Huang
2024	J	`jnl`	Online continual decoding of streaming EEG signal with a balanced and informative memory buffer. Neural Networks Tiehang Duan, Zhenyi Wang, Fang Li, Gianfranco Doretto, Donald A. Adjeroh, Yiyi Yin, Cui Tao
2024	A*	`conf`	Representation Surgery for Multi-Task Model Merging. ICML Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024	J	`jnl`	Representation Surgery for Multi-Task Model Merging. CoRR Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024	J	`jnl`	Retain and Adapt: Online Sequential EEG Classification With Subject Shift. IEEE Trans. Artif. Intell. Tiehang Duan, Zhenyi Wang, Li Shen, Gianfranco Doretto, Donald A. Adjeroh, Fang Li, Cui Tao
2024	A*	`conf`	Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications. ICML Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao
2024	J	`jnl`	SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. CoRR Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao
2024	A*	`conf`	Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. ICML Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao
2024	J	`jnl`	Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. CoRR Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao
2024	—	`conf`	Training A Secure Model Against Data-Free Model Extraction. ECCV (79) Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao
2023	J	`jnl`	A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
2023	J	`jnl`	AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2023	A*	`conf`	An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo
2023	A*	`conf`	Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CVPR Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
2023	J	`jnl`	Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CoRR Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
2023	J	`jnl`	Continual Learning From a Stream of APIs. CoRR Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
2023	A*	`conf`	Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang
2023	A*	`conf`	Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
2023	A	`conf`	Distributionally Robust Cross Subject EEG Decoding. ECAI Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh
2023	J	`jnl`	Distributionally Robust Cross Subject EEG Decoding. CoRR Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh
2023	J	`jnl`	Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
2023	A*	`conf`	Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
2023	J	`jnl`	Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. CoRR Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
2023	A*	`conf`	MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
2023	—	`conf`	Replay with Stochastic Neural Transformation for Online Continual EEG Classification. BIBM Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh
2023	J	`jnl`	Task-Distributionally Robust Data-Free Meta-Learning. CoRR Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao
2023	J	`jnl`	UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals. Neurocomputing Tiehang Duan, Zhenyi Wang, Sheng Liu, Yiyi Yin, Sargur N. Srihari
2022	A*	`conf`	Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022	J	`jnl`	Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
2022	A*	`conf`	Learning to Learn and Remember Super Long Multi-Domain Task Sequence. CVPR Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao
2022	—	`conf`	Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. ECCV (20) Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022	J	`jnl`	Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. CoRR Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
2022	A	`conf`	Meta-learning without data via Wasserstein distributionally-robust model fusion. UAI Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
2022	J	`jnl`	Uncertainty Detection in EEG Neural Decoding Models. CoRR Tiehang Duan, Zhenyi Wang, Sheng Liu, Sargur N. Srihari, Hui Yang
2021	A*	`conf`	Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
2021	J	`jnl`	Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
2021	A*	`conf`	Meta-Learning with Neural Tangent Kernels. ICLR Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
2021	J	`jnl`	Meta-Learning with Neural Tangent Kernels. CoRR Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
2020	A*	`conf`	Bayesian Meta Sampling for Fast Uncertainty Adaptation. ICLR Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen
2020	A*	`conf`	Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. AAAI Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
2020	—	`conf`	Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. EMNLP (1) Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020	J	`jnl`	Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. CoRR Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
2020	A*	`conf`	Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
2020	J	`jnl`	Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. CoRR Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
2019	J	`jnl`	Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. CoRR Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
2018	J	`jnl`	Location Augmentation for CNN. CoRR Zhenyi Wang, Olga Veksler