Identify Biological Modules and Hub MiRNAs for Oral Squamous Cell Carcinomas. - Doudou Zhou; Jianqiang Li 002; Ji-Jiang Yang; Qing Wang 003; Weiliang Qiu; Shi Chen 002; Minhua Lu (COMPSAC (2), 2017)

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 (AMIA, 2019)

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)

BELT: Blockwise Missing Embedding Learning Transfomer. - Doudou Zhou; Tianxi Cai; Junwei Lu (CoRR, 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; et al. (npj Digit. Medicine, 2021)

Federated Offline Reinforcement Learning. - Doudou Zhou; Yufeng Zhang 007; Aaron Sonabend W.; Zhaoran Wang 001; Junwei Lu; Tianxi Cai (CoRR, 2022)

Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model. - Tianxi Cai; Dong Xia; Luwan Zhang; Doudou Zhou (CoRR, 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; et al. (J. Biomed. Informatics, 2022)

A new ranking scheme for modern data and its application to two-sample hypothesis testing. - Doudou Zhou; Hao Chen (COLT, 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 004 (ICDM, 2023)

Hierarchical Pretraining for Biomedical Term Embeddings. - Bryan Cai; Sihang Zeng; Yucong Lin; Zheng Yuan 002; Doudou Zhou; Lu Tian (CoRR, 2023)

Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices. - Doudou Zhou; Tianxi Cai; Junwei Lu (J. Mach. Learn. Res., 2023)

Multimodal representation learning for predicting molecule-disease relations. - Jun Wen; Xiang Zhang 012; Everett Neil Rush; Vidul Ayakulangara Panickan; Xingyu Li; Tianrun Cai; Doudou Zhou; Yuk-Lam Ho; Lauren Costa; Edmon Begoli; Chuan Hong; J. Michael Gaziano; et al. (Bioinform., 2023)

Contrastive Learning on Multimodal Analysis of Electronic Health Records. - Tianxi Cai; Feiqing Huang; Ryumei Nakada; Linjun Zhang; Doudou Zhou (CoRR, 2024)

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; et al. (J. Biomed. Informatics, 2025)

DOME: Directional medical embedding vectors from Electronic Health Records. - Jun Wen; Hao Xue 005; Everett Neil Rush; Vidul Ayakulangara Panickan; Tianrun Cai; Doudou Zhou; Yuk-Lam Ho; Lauren Costa; Edmon Begoli; Chuan Hong; J. Michael Gaziano; Kelly Cho; et al. (J. Biomed. Informatics, 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; et al. (CoRR, 2025)

SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation. - Wangxuan Fan; Siqi Li 004; Doudou Zhou; Yohei Okada; Chuan Hong; Molei Liu; Nan Liu 003 (CoRR, 2025)

Toward Fair Federated Learning under Demographic Disparities and Data Imbalance. - Qiming Wu; Siqi Li; Doudou Zhou; Nan Liu (CoRR, 2025)

Wasserstein Transfer Learning. - Kaicheng Zhang; Sinian Zhang; Doudou Zhou; Yidong Zhou (CoRR, 2025)

Generalized Linear Markov Decision Process. - Sinian Zhang; Kaicheng Zhang; Ziping Xu; Tianxi Cai; Doudou Zhou (CoRR, 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, 2025)

Time-Aware Attention for Enhanced Electronic Health Records Modeling. - Junhan Yu; Zhunyi Feng; Junwei Lu; Tianxi Cai; Doudou Zhou (CoRR, 2025)

Asymptotic Distribution-Free Change-Point Detection for Modern Data Based on a New Ranking Scheme. - Doudou Zhou; Hao Chen 064 (IEEE Trans. Inf. Theory, 2025)