Zhenyi Wang

Adaptive Bayesian Early-Exit Networks for Efficient Non-Transferable Learning CVPR 2026 Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense ICLR 2025 HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning EMNLP 2025 Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation ICLR 2025 AdaMerging: Adaptive Model Merging for Multi-Task Learning ICLR 2024 A Unified and General Framework for Continual Learning ICLR 2024 Defense against Model Extraction Attack by Bayesian Active Watermarking ICML 2024 Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt ECCV 2024 FREE: Faster and Better Data-Free Meta-Learning CVPR 2024 Improving Non-Transferable Representation Learning by Harnessing Content and Style ICLR 2024 Model Sensitivity Aware Continual Learning NeurIPS 2024 Representation Surgery for Multi-Task Model Merging ICML 2024 Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications ICML 2024 Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models ICML 2024 Training A Secure Model against Data-Free Model Extraction ECCV 2024 VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE ACL 2024 An Efficient Dataset Condensation Plugin and Its Application to Continual Learning NeurIPS 2023 Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning CVPR 2023 Data Augmented Flatness-aware Gradient Projection for Continual Learning ICCV 2023 Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training NeurIPS 2023 Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023 MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation CVPR 2023 Improving Task-free Continual Learning by Distributionally Robust Memory Evolution ICML 2022 Learning To Learn and Remember Super Long Multi-Domain Task Sequence CVPR 2022 Meta-Learning with Less Forgetting on Large-Scale Non-stationary Task Distributions ECCV 2022 Meta-learning without data via Wasserstein distributionally-robust model fusion UAI 2022 Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness ICCV 2021 Meta-Learning with Neural Tangent Kernels ICLR 2021 Bayesian Meta Sampling for Fast Uncertainty Adaptation ICLR 2020 Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions AAAI 2020 Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference EMNLP 2020 Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints ACL 2020