Zhenyi Wang
31 papers · 2020–2025 · 10 conferences · across top CS/AI conferences
Achievements
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Conferences
ICLR (7)
ICML (6)
CVPR (4)
ECCV (3)
NIPS (3)
ACL (2)
EMNLP (2)
ICCV (2)
AAAI (1)
UAI (1)
Top co-authors
Keywords
catastrophic forgetting
(5)
continual learning
(5)
knowledge distillation
(3)
data augmentation
(2)
contrastive learning
(2)
data-free learning
(2)
distributionally robust optimization
(2)
model compression
(2)
data-free meta-learning
(2)
pre-trained model
(2)
transfer learning
(2)
self-supervised learning
(1)
few-shot learning
(1)
optimal transport
(1)
model robustness
(1)
multi-task learning
(1)
knowledge extraction
(1)
human action generation
(1)
bayesian inference
(1)
image reconstruction
(1)
Papers
HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning
EMNLP 2025
Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense
ICLR 2025
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
ICLR 2025
A Unified and General Framework for Continual Learning
ICLR 2024
Representation Surgery for Multi-Task Model Merging
ICML 2024
VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE
ACL 2024
Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
ECCV 2024
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
ICML 2024
Defense against Model Extraction Attack by Bayesian Active Watermarking
ICML 2024
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
ICML 2024
Improving Non-Transferable Representation Learning by Harnessing Content and Style
ICLR 2024
AdaMerging: Adaptive Model Merging for Multi-Task Learning
ICLR 2024
FREE: Faster and Better Data-Free Meta-Learning
CVPR 2024
Model Sensitivity Aware Continual Learning
NIPS 2024
Training A Secure Model against Data-Free Model Extraction
ECCV 2024
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
NIPS 2023
MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
CVPR 2023
Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning
CVPR 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
ICML 2023
Data Augmented Flatness-aware Gradient Projection for Continual Learning
ICCV 2023
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
NIPS 2023
Meta-learning without data via Wasserstein distributionally-robust model fusion
UAI 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
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
ICML 2022
Meta-Learning with Neural Tangent Kernels
ICLR 2021
Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness
ICCV 2021
Bayesian Meta Sampling for Fast Uncertainty Adaptation
ICLR 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
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
AAAI 2020