Zhe Qu
12 papers · 2020–2025 · 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 Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(6)
β
The Questioner
(3)
π
Century Club Β· Bronze
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Keyword Collector
(76)
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Learning Types Β· Machine Learning
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Core AI
(3)
Learning Paradigms Β· Artificial Intelligence
(3)
Learning Paradigms Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Architectures
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
federated learning
(3)
generalization error
(3)
compositional optimization
(2)
stochastic optimization
(2)
generalization analysis
(2)
sharpness-aware minimization
(2)
contrastive learning
(1)
sample complexity
(1)
sparse recovery
(1)
fairness
(1)
attention mechanism
(1)
rationale extraction
(1)
adversarial training
(1)
dimensionality reduction
(1)
model interpretability
(1)
medical imaging
(1)
minimax optimization
(1)
mutual information
(1)
gradient descent
(1)
neural network optimization
(1)
Papers
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
AAAI 2025
Stability and Generalization for Stochastic (Compositional) Optimizations
IJCAI 2025
Stable Fair Graph Representation Learning with Lipschitz Constraint
ICML 2025
TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging
ICML 2025
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
AAAI 2024
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction
EMNLP 2024
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations
ICML 2024
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception
AAAI 2024
How To Prevent the Poor Performance Clients for Personalized Federated Learning?
CVPR 2023
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
JMLR 2022
Generalized Federated Learning via Sharpness Aware Minimization
ICML 2022
Comb Decoding towards Collision-Free WiFi
NSDI 2020