Weiming Zhuang
16 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Machine Learning
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federated learning
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model compression
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contrastive learning
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unsupervised learning
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domain generalization
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autoregressive model
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non-iid data
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multi-task learning
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semi-supervised learning
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semantic segmentation
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domain adaptation
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catastrophic forgetting
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pose estimation
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object detection
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source-free domain adaptation
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image generation
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batch normalization
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knowledge distillation
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attention mechanism
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self-supervised learning
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Papers
UniCompress: Token Compression for Unified Vision-Language Understanding and Generation
CVPR 2026
VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations
CVPR 2026
Argus: A Compact and Versatile Foundation Model for Vision
CVPR 2025
Enhancing Foundation Models with Federated Domain Knowledge Infusion
ICML 2025
MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge
ICCV 2025
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
CVPR 2025
A Simple Background Augmentation Method for Object Detection with Diffusion Model
ECCV 2024
COALA: A Practical and Vision-Centric Federated Learning Platform
ICML 2024
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
AAAI 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning
CVPR 2024
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
ICLR 2024
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning
NeurIPS 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning
ICCV 2023
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
ICCV 2023
Divergence-aware Federated Self-Supervised Learning
ICLR 2022
Collaborative Unsupervised Visual Representation Learning From Decentralized Data
ICCV 2021