Dixian Zhu
7 papers · 2019–2025 · 4 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 ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(5)
Learning Types · Machine Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Clinical
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Optimization
(1)
Keywords
distributionally robust optimization
(2)
compositional optimization
(2)
stochastic optimization
(2)
finite-sum optimization
(1)
deep learning
(1)
variational inference
(1)
metric learning
(1)
gradient-based optimization
(1)
medical imaging
(1)
model evaluation
(1)
multi-class classification
(1)
regression
(1)
label noise
(1)
gradient-based method
(1)
classifier learning
(1)
multi-instance learning
(1)
variance reduction
(1)
nonsmooth optimization
(1)
representation learning
(1)
unsupervised learning
(1)
Papers
Gradient Aligned Regression via Pairwise Losses
ICML 2025
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
ICML 2023
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
NeurIPS 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
ICML 2023
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
ICML 2022
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval
AAAI 2020
A Robust Zero-Sum Game Framework for Pool-based Active Learning
AISTATS 2019