Wenxuan Bao
10 papers · 2020–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π Grand Slam
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Application Areas
(6)
Learning Paradigms Β· Artificial Intelligence
(5)
Learning Types
(4)
Learning Paradigms Β· Machine Learning
(3)
Computer Vision
(2)
Deep Learning
(2)
Core AI
(2)
Core Methods
(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Architectures
(1)
Keywords
test-time adaptation
(4)
federated learning
(4)
domain adaptation
(3)
vision-language model
(2)
non-iid data
(2)
parameter selection
(1)
feature learning
(1)
differential privacy
(1)
language modeling
(1)
data augmentation
(1)
semantic segmentation
(1)
superpixel segmentation
(1)
scene understanding
(1)
graph structure
(1)
theoretical analysis
(1)
corruption robustness
(1)
message passing
(1)
image parsing
(1)
convergence guarantee
(1)
computer vision
(1)
Papers
Panda: Test-Time Adaptation with Negative Data Augmentation
AAAI 2026
Ask, and it shall be given: On the Turing completeness of prompting
ICLR 2025
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
ICCV 2025
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
ICLR 2025
BOBA: Byzantine-Robust Federated Learning with Label Skewness
AISTATS 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
CVPR 2024
Adaptive Test-Time Personalization for Federated Learning
NeurIPS 2023
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning
NeurIPS 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning
ICML 2023
Deep Grouping Model for Unified Perceptual Parsing
CVPR 2020