Designing risk prediction models for ambulatory no-shows across different specialties and clinics. - Xiruo Ding; Ziad Gellad; III Chad Mather; Pamela Barth; Eric G. Poon; Mark Newman; Benjamin Alan Goldstein (J. Am. Medical Informatics Assoc., 2018)

Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection. - Xiruo Ding; Trevor A. Cohen (AMIA, 2020)

A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients. - Lingjiao Zhang; Xiruo Ding; Yanyuan Ma; Naveen Muthu; Imran Ajmal; Jason H. Moore; Daniel S. Herman; Jinbo Chen (J. Am. Medical Informatics Assoc., 2020)

Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information. - Xiruo Ding; Justin Mower; Devika Subramanian; Trevor Cohen (J. Biomed. Informatics, 2021)

Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings. - YiFan Wu; Justin Mower; Xiruo Ding; Oliver Li; Devika Subramanian; Trevor Cohen (AMIA, 2022)

Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation. - Xiruo Ding; Kevin Lybarger; Justin Tauscher; Trevor Cohen (NAACL-HLT (Student Research Workshop), 2022)

Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes. - Xiruo Ding; Zhecheng Sheng; Meliha Yetisgen; Serguei Pakhomov; Trevor Cohen (CoRR, 2023)

Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts. - Xiruo Ding; Zhecheng Sheng; Brian Hur; Feng Chen; Serguei V. S. Pakhomov; Trevor Cohen (CoRR, 2023)

From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction. - Hannah A. Burkhardt; Xiruo Ding; Amanda Kerbrat; Katherine Anne Comtois; Trevor Cohen (J. Am. Medical Informatics Assoc., 2023)

A flexible symbolic regression method for constructing interpretable clinical prediction models. - William G. La Cava; Paul C. Lee; Imran Ajmal; Xiruo Ding; Priyanka Solanki; Jordana B. Cohen; Jason H. Moore; Daniel S. Herman (npj Digit. Medicine, 2023)

Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking. - Zhecheng Sheng; Xiruo Ding; Brian Hur; Changye Li 001; Trevor Cohen; Serguei V. S. Pakhomov (ACL (1), 2025)

Tailoring task arithmetic to address bias in models trained on multi-institutional datasets. - Xiruo Ding; Zhecheng Sheng; Brian Hur; Justin Tauscher; Dror Ben-Zeev; Meliha Yetisgen; Serguei Pakhomov; Trevor Cohen (J. Biomed. Informatics, 2025)