Xiruo Ding - RankMe

14 papers Misc 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking. ACL (1) Zhecheng Sheng, Xiruo Ding, Brian Hur, Changye Li, Trevor Cohen, Serguei V. S. Pakhomov
2025	J	`jnl`	Mitigating Confounding in Speech-Based Dementia Detection through Weight Masking. CoRR Zhecheng Sheng, Xiruo Ding, Brian Hur, Changye Li, Trevor Cohen, Serguei Pakhomov
2025	J	`jnl`	Tailoring task arithmetic to address bias in models trained on multi-institutional datasets. J. Biomed. Informatics Xiruo Ding, Zhecheng Sheng, Brian Hur, Justin Tauscher, Dror Ben-Zeev, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen
2023	J	`jnl`	A flexible symbolic regression method for constructing interpretable clinical prediction models. npj Digit. Medicine William G. La Cava, Paul C. Lee, Imran Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen, Jason H. Moore, Daniel S. Herman
2023	J	`jnl`	Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes. CoRR Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen
2023	J	`jnl`	Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts. CoRR Xiruo Ding, Zhecheng Sheng, Brian Hur, Feng Chen, Serguei V. S. Pakhomov, Trevor Cohen
2023	J	`jnl`	From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction. J. Am. Medical Informatics Assoc. Hannah A. Burkhardt, Xiruo Ding, Amanda Kerbrat, Katherine Anne Comtois, Trevor Cohen
2022	—	`conf`	Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation. NAACL-HLT (Student Research Workshop) Xiruo Ding, Kevin Lybarger, Justin Tauscher, Trevor Cohen
2022	Misc	`conf`	Predicting Drug Blood-Brain Barrier Penetration with Adverse Event Report Embeddings. AMIA Yifan Wu, Justin Mower, Xiruo Ding, Oliver Li, Devika Subramanian, Trevor Cohen
2021	J	`jnl`	Augmenting aer2vec: Enriching distributed representations of adverse event report data with orthographic and lexical information. J. Biomed. Informatics Xiruo Ding, Justin Mower, Devika Subramanian, Trevor Cohen
2020	J	`jnl`	A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients. J. Am. Medical Informatics Assoc. Lingjiao Zhang, Xiruo Ding, Yanyuan Ma, Naveen Muthu, Imran Ajmal, Jason H. Moore, Daniel S. Herman, Jinbo Chen
2020	Misc	`conf`	Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection. AMIA Xiruo Ding, Trevor A. Cohen
2020	J	`jnl`	Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection. CoRR Xiruo Ding, Trevor Cohen
2018	J	`jnl`	Designing risk prediction models for ambulatory no-shows across different specialties and clinics. J. Am. Medical Informatics Assoc. Xiruo Ding, Ziad Gellad, III Chad Mather, Pamela Barth, Eric G. Poon, Mark Newman, Benjamin Alan Goldstein