Zehua Wang
7 papers · 2022–2026 · 6 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
Jump to papers ↓
π
Conference Polyglot Β· Silver
π
Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(18)
π£
Hot Topic Early Bird
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(4)
Core AI
(4)
Application Areas
(3)
Learning Paradigms
(3)
Natural Language Processing
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Computer Vision
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Analysis
(1)
Core Methods
(1)
Differential Privacy
(1)
Keywords
federated learning
(3)
differential privacy
(1)
model selection
(1)
feature selection
(1)
prompt engineering
(1)
neural architecture search
(1)
model merging
(1)
medical image segmentation
(1)
sparse regression
(1)
high-dimensional regression
(1)
communication efficiency
(1)
exponential mechanism
(1)
metropolis-hastings algorithm
(1)
high-dimensional data
(1)
data heterogeneity
(1)
pre-trained model
(1)
task planning
(1)
weight interpolation
(1)
privacy protection
(1)
retrieval-augmented generation
(1)
Papers
CP-Search: A Chain Progressive Search Training Framework Incentivizing the Cognitive Behaviors for Searching in LLMs
AAAI 2026
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
CVPR 2026
FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models
ICCV 2025
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
NeurIPS 2024
Low-code LLM: Graphical User Interface over Large Language Models
NAACL 2024
On the Computational Complexity of Private High-dimensional Model Selection
NeurIPS 2024
AdwU-Net: Adaptive Depth and Width U-Net for Medical Image Segmentation by Differentiable Neural Architecture Search
MIDL 2022