Xiaodong Yan

9 papers at tracked venues · 8 at CORE A* · active 2024–2025

DBLP profile ↗ORCID search ↗

Venues

ICML ×3 NeurIPS ×3 AAAI ×2 AISTATS ×1

Frequent coauthors

Linglong Kong

×5

Bei Jiang

×5

Yafei Wang

×2

Ting Li

×2

Shanshan Zhao

×2

Hongni Wang

×1

Junxi Zhang

×1

Na Li

×1

Jianqi Feng

×1

Chengchun Shi

×1

Zhenke Wu

×1

Wei Zhao

×1

Papers

Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data
AISTATS 2025 ·
Hongni Wang
,
Junxi Zhang
,
Na Li
,
Linglong Kong
,
Bei Jiang
, Xiaodong Yan
Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis
NeurIPS 2025 ·
Jianqi Feng
,
Chengchun Shi
,
Zhenke Wu
, Xiaodong Yan,
Wei Zhao
Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference
ICML 2025 ·
Ce Zhang
,
Yixin Han
,
Yafei Wang
, Xiaodong Yan,
Linglong Kong
,
Ting Li
,
Bei Jiang
HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts
NeurIPS 2025 ·
Yinuo Jiang
, Xiaodong Yan,
Keyan Ding
,
Deng Zhao
,
Lei Liang
,
Qiang Zhang
,
Huajun Chen
Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
NeurIPS 2025 ·
Ke Sun
,
Yingnan Zhao
,
Enze Shi
,
Yafei Wang
, Xiaodong Yan,
Bei Jiang
,
Linglong Kong
Online Differentially Private Conformal Prediction for Uncertainty Quantification
ICML 2025 ·
Qiangqiang Zhang
,
Ting Li
,
Xinwei Feng
, Xiaodong Yan,
Jinhan Xie
Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
ICML 2025 ·
Yu Zhang
,
Shanshan Zhao
,
Bokui Wan
,
Jinjuan Wang
, Xiaodong Yan
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach
AAAI 2024 ·
Yangdi Jiang
,
Yi Liu
, Xiaodong Yan,
Anne-Sophie Charest
,
Linglong Kong
,
Bei Jiang
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility
AAAI 2024 ·
Shanshan Zhao
,
Wenhai Cui
,
Bei Jiang
,
Linglong Kong
, Xiaodong Yan