Doudou Zhou

According to our database, Doudou Zhou authored at least 24 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Asymptotic Distribution-Free Change-Point Detection for Modern Data Based on a New Ranking Scheme.

Doudou Zhou, Hao Chen

IEEE Trans. Inf. Theory, August, 2025

Time-Aware Attention for Enhanced Electronic Health Records Modeling.

Junhan Yu, Zhunyi Feng, Junwei Lu, Tianxi Cai, Doudou Zhou

CoRR, July, 2025

Single Index Bandits: Generalized Linear Contextual Bandits with Unknown Reward Functions.

Yue Kang, Mingshuo Liu, Bongsoo Yi, Jing Lyu, Zhi Zhang, Doudou Zhou, Yao Li

CoRR, June, 2025

Generalized Linear Markov Decision Process.

Sinian Zhang, Kaicheng Zhang, Ziping Xu, Tianxi Cai, Doudou Zhou

CoRR, June, 2025

Wasserstein Transfer Learning.

Kaicheng Zhang, Sinian Zhang, Doudou Zhou, Yidong Zhou

CoRR, May, 2025

Toward Fair Federated Learning under Demographic Disparities and Data Imbalance.

Qiming Wu, Siqi Li, Doudou Zhou, Nan Liu

CoRR, May, 2025

SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation.

Wangxuan Fan, Siqi Li, Doudou Zhou, Yohei Okada, Chuan Hong, Molei Liu, Nan Liu

CoRR, May, 2025

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data.

Doudou Zhou, Han Tong, Linshanshan Wang, Suqi Liu, Xin Xiong, Ziming Gan, Romain Griffier, Boris P. Hejblum, Yun-Chung Liu, Chuan Hong, Clara-Lea Bonzel, Tianrun Cai, Kevin Pan, Yuk-Lam Ho, Lauren Costa, Vidul Ayakulangara Panickan, J. Michael Gaziano, Kenneth D. Mandl, Vianney Jouhet, Rodolphe Thiébaut, Zongqi Xia, Kelly Cho, Katherine P. Liao, Tianxi Cai

CoRR, February, 2025

DOME: Directional medical embedding vectors from Electronic Health Records.

Jun Wen, Hao Xue, Everett Neil Rush, Vidul Ayakulangara Panickan, Tianrun Cai, Doudou Zhou, Yuk-Lam Ho, Lauren Costa, Edmon Begoli, Chuan Hong, J. Michael Gaziano, Kelly Cho, Katherine P. Liao, Junwei Lu, Tianxi Cai

J. Biomed. Informatics, 2025

ARCH: Large-scale knowledge graph via aggregated narrative codified health records analysis.

Ziming Gan, Doudou Zhou, Everett Neil Rush, Vidul Ayakulangara Panickan, Yuk-Lam Ho, George Ostrouchov, Zhiwei Xu, Shuting Shen, Xin Xiong, Kimberly F. Greco, Chuan Hong, Clara-Lea Bonzel, Jun Wen, Lauren Costa, Tianrun Cai, Edmon Begoli, Zongqi Xia, J. Michael Gaziano, Katherine P. Liao, Kelly Cho, Tianxi Cai, Junwei Lu

J. Biomed. Informatics, 2025

2024

Contrastive Learning on Multimodal Analysis of Electronic Health Records.

Tianxi Cai, Feiqing Huang, Ryumei Nakada, Linjun Zhang, Doudou Zhou

CoRR, 2024

2023

Multimodal representation learning for predicting molecule-disease relations.

Jun Wen, Xiang Zhang, Everett Neil Rush, Vidul Ayakulangara Panickan, Xingyu Li, Tianrun Cai, Doudou Zhou, Yuk-Lam Ho, Lauren Costa, Edmon Begoli, Chuan Hong, J. Michael Gaziano, Kelly Cho, Junwei Lu, Katherine P. Liao, Marinka Zitnik, Tianxi Cai

Bioinform., February, 2023

Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices.

Doudou Zhou, Tianxi Cai, Junwei Lu

J. Mach. Learn. Res., 2023

Hierarchical Pretraining for Biomedical Term Embeddings.

Bryan Cai, Sihang Zeng, Yucong Lin, Zheng Yuan, Doudou Zhou, Lu Tian

CoRR, 2023

Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment.

Yiwei Lou, Yanyuan Chen, Dexuan Xu, Doudou Zhou, Yongzhi Cao, Hanpin Wang, Yu Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

A new ranking scheme for modern data and its application to two-sample hypothesis testing.

Doudou Zhou, Hao Chen

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization.

Doudou Zhou, Ziming Gan, Xu Shi, Alina Patwari, Everett Neil Rush, Clara-Lea Bonzel, Vidul Ayakulangara Panickan, Chuan Hong, Yuk-Lam Ho, Tianrun Cai, Lauren Costa, Xiaoou Li, Victor M. Castro, Shawn N. Murphy, Gabriel A. Brat, Griffin M. Weber, Paul Avillach, J. Michael Gaziano, Kelly Cho, Katherine P. Liao, Junwei Lu, Tianxi Cai

J. Biomed. Informatics, 2022

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model.

Tianxi Cai, Dong Xia, Luwan Zhang, Doudou Zhou

CoRR, 2022

Federated Offline Reinforcement Learning.

Doudou Zhou, Yufeng Zhang, Aaron Sonabend W., Zhaoran Wang, Junwei Lu, Tianxi Cai

CoRR, 2022

2021

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data.

Chuan Hong, Everett Neil Rush, Molei Liu, Doudou Zhou, Jiehuan Sun, Aaron Sonabend W., Victor M. Castro, Petra Schubert, Vidul Ayakulangara Panickan, Tianrun Cai, Lauren Costa, Zeling He, Nicholas B. Link, Ronald G. Hauser, J. Michael Gaziano, Shawn N. Murphy, George Ostrouchov, Yuk-Lam Ho, Edmon Begoli, Junwei Lu, Kelly Cho, Katherine P. Liao, Tianxi Cai

npj Digit. Medicine, 2021

BELT: Blockwise Missing Embedding Learning Transfomer.

Doudou Zhou, Tianxi Cai, Junwei Lu

CoRR, 2021

2020

sureLDA: A multidisease automated phenotyping method for the electronic health record.

Yuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai

J. Am. Medical Informatics Assoc., 2020

2019

sureLDA: A Novel Multi-Disease Automated Phenotyping Method for the Electronic Health Record.

Yuri Ahuja, Doudou Zhou, Zeling He, Jiehuan Sun, Victor M. Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai

Proceedings of the AMIA 2019, 2019

2017

Identify Biological Modules and Hub MiRNAs for Oral Squamous Cell Carcinomas.

Doudou Zhou, Jianqiang Li, Ji-Jiang Yang, Qing Wang, Weiliang Qiu, Shi Chen, Minhua Lu

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017