Weiming Zhuang
14 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) πΊοΈ Taxonomy Completionist (31) π£ Hot Topic Early Bird
π
Conference Polyglot
(7)
π€
Dynamic Duo
(11)
π
Grand Slam
π₯
Unstoppable
(5)
π
Century Club
(14)
ποΈ
Keyword Collector
(54)
β‘
Prolific Year
(5)
β
The Questioner
Conferences
ICCV (4)
CVPR (3)
ICLR (2)
ICML (2)
AAAI (1)
ECCV (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(6)
contrastive learning
(2)
multi-task learning
(2)
model compression
(2)
attention mechanism
(1)
semi-supervised learning
(1)
catastrophic forgetting
(1)
model adaptation
(1)
domain generalization
(1)
domain adaptation
(1)
pseudo labeling
(1)
knowledge distillation
(1)
source-free domain adaptation
(1)
distributed learning
(1)
privacy preservation
(1)
test-time adaptation
(1)
vision transformer
(1)
model merging
(1)
neural network pruning
(1)
unsupervised learning
(1)
Papers
MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge
ICCV 2025
Argus: A Compact and Versatile Foundation Model for Vision
CVPR 2025
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety
CVPR 2025
Enhancing Foundation Models with Federated Domain Knowledge Infusion
ICML 2025
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
AAAI 2024
A Simple Background Augmentation Method for Object Detection with Diffusion Model
ECCV 2024
COALA: A Practical and Vision-Centric Federated Learning Platform
ICML 2024
FedWon: Triumphing Multi-domain Federated Learning Without Normalization
ICLR 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning
CVPR 2024
TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation
ICCV 2023
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning
NIPS 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning
ICCV 2023
Divergence-aware Federated Self-Supervised Learning
ICLR 2022
Collaborative Unsupervised Visual Representation Learning From Decentralized Data
ICCV 2021