| 2025 | EMNLP | HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning. | Zhenyi Wang, Yapeng Jia, Haiyan Ning, Peng Wang, Dan Wang, Yitao Cao |
| 2025 | ICLR | Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense. | Siyu Luan, Zhenyi Wang, Li Shen, Zonghua Gu, Chao Wu, Dacheng Tao |
| 2025 | ICLR | Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation. | Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Chun Yuan, Dacheng Tao |
| 2025 | IWQoS | SINA: A Server-Assisted In-Network Repair Acceleration for Erasure-Coded Storage Systems. | Geyao Cheng, Junxu Xia, Haibo Mi, Deke Guo, Kun Wang, Zhenyi Wang |
| 2024 | ACL | VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE. | Zhenyi Wang, Haiyan Ning, Qing Ling, Dan Wang |
| 2024 | CVPR | Free: Faster and Better Data-Free Meta-Learning. | Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Training A Secure Model Against Data-Free Model Extraction. | Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao |
| 2024 | ICLR | 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 |
| 2024 | ICLR | A Unified and General Framework for Continual Learning. | Zhenyi Wang, Yan Li, Li Shen, Heng Huang |
| 2024 | ICLR | AdaMerging: Adaptive Model Merging for Multi-Task Learning. | Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao |
| 2024 | ICML | 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 |
| 2024 | ICML | Defense against Model Extraction Attack by Bayesian Active Watermarking. | Zhenyi Wang, Yihan Wu, Heng Huang |
| 2024 | ICML | 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 |
| 2024 | ICML | Representation Surgery for Multi-Task Model Merging. | Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao |
| 2024 | SDM | Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. | Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson |
| 2023 | CIKM | Retrieving GNN Architecture for Collaborative Filtering. | Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi |
| 2023 | CIKM | Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. | Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi |
| 2023 | CVPR | Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. | Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao |
| 2023 | CVPR | 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 |
| 2023 | ECAI | Distributionally Robust Cross Subject EEG Decoding. | Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh |
| 2023 | ICCV | Data Augmented Flatness-aware Gradient Projection for Continual Learning. | Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang |
| 2023 | ICML | Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. | Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao |
| 2022 | CVPR | Learning to Learn and Remember Super Long Multi-Domain Task Sequence. | Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao |
| 2022 | ECCV | 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 |
| 2022 | ICML | Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. | Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao |
| 2022 | SIGIR | Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. | Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi |
| 2022 | UAI | 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 |
| 2022 | WSDM | Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. | Zhenyi Wang, Huan Zhao, Chuan Shi |
| 2021 | ICCV | Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. | Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao |
| 2021 | ICLR | Meta-Learning with Neural Tangent Kernels. | Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu |
| 2020 | AAAI | 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 |
| 2020 | ACL | Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. | Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen |
| 2020 | EMNLP | 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, Changyou Chen |
| 2020 | ICLR | Bayesian Meta Sampling for Fast Uncertainty Adaptation. | Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen |
| 2020 | IPCCC | A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo. | Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang |