Irene Y. Chen - RankMe

41 papers A* 2Misc 3Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Semi-supervised Learning with Zero-shot Pseudolabels. Trans. Mach. Learn. Res. Jichan Chung, Irene Y. Chen
2026	J	`jnl`	Falsifying Sparse Autoencoder Reasoning Features in Language Models. CoRR George Ma, Zhongyuan Liang, Irene Y. Chen, Somayeh Sojoudi
2026	J	`jnl`	Uncertainty Drives Social Bias Changes in Quantized Large Language Models. CoRR Stanley Z. Hua, Sanae Lotfi, Irene Y. Chen
2025	J	`jnl`	A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions. npj Digit. Medicine Emily Robitschek, Asal Bastani, Kathryn Horwath, Savyon Sordean, Mark J. Pletcher, Jennifer C. Lai, Sergio Galletta, Elliott Ash, Jin Ge, Irene Y. Chen
2025	J	`jnl`	Aggregated Individual Reporting for Post-Deployment Evaluation. CoRR Jessica Dai, Inioluwa Deborah Raji, Benjamin Recht, Irene Y. Chen
2025	J	`jnl`	Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic Discrimination. CoRR Colleen V. Chien, Anna Zink, Irene Y. Chen
2025	J	`jnl`	Enhancing Semi-supervised Learning with Noisy Zero-shot Pseudolabels. CoRR Jichan Chung, Irene Y. Chen
2025	J	`jnl`	Patient Safety Risks from AI Scribes: Signals from End-User Feedback. CoRR Jessica Dai, Anwen Huang, Catherine Nasrallah, Rhiannon Croci, Hossein Soleimani, Sarah J. Pollet, Julia Adler-Milstein, Sara G. Murray, Jinoos Yazdany, Irene Y. Chen
2025	J	`jnl`	Quantifying device type and handedness biases in a remote Parkinson's disease AI-powered assessment. npj Digit. Medicine Zerin Nasrin Tumpa, Md Rahat Shahriar Zawad, Lydia Sollis, Shubham Parab, Irene Y. Chen, Peter Washington
2025	J	`jnl`	The evaluation illusion of large language models in medicine. npj Digit. Medicine Monica Agrawal, Irene Y. Chen, Freya Gulamali, Shalmali Joshi
2025	—	`conf`	Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication. CHIL Zhongyuan Liang, Arvind Suresh, Irene Y. Chen
2025	J	`jnl`	Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication. CoRR Zhongyuan Liang, Arvind Suresh, Irene Y. Chen
2025	J	`jnl`	Understanding contraceptive switching rationales from real world clinical notes using large language models. npj Digit. Medicine Brenda Y. Miao, Christopher Y. K. Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen
2024	J	`jnl`	A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions. CoRR Emily Robitschek, Asal Bastani, Kathryn Horwath, Savyon Sordean, Mark J. Pletcher, Jennifer C. Lai, Sergio Galletta, Elliott Ash, Jin Ge, Irene Y. Chen
2024	J	`jnl`	Access to care improves EHR reliability and clinical risk prediction model performance. CoRR Anna Zink, Hongzhou Luan, Irene Y. Chen
2024	—	`conf`	Conference on Health, Inference, and Learning (CHIL) 2024. CHIL Tom J. Pollard, Edward Choi, Pankhuri Singhal, Michael C. Hughes, Elena Sizikova, Bobak Mortazavi, Irene Y. Chen, Fei Wang, Tasmie Sarker, Matthew B. A. McDermott, Marzyeh Ghassemi
2024	J	`jnl`	Deep Speech Synthesis from Multimodal Articulatory Representations. CoRR Peter Wu, Bohan Yu, Kevin Scheck, Alan W. Black, Aditi S. Krishnapriyan, Irene Y. Chen, Tanja Schultz, Shinji Watanabe, Gopala Krishna Anumanchipalli
2024	J	`jnl`	Generative AI in Medicine. CoRR Divya Shanmugam, Monica Agrawal, Rajiv Movva, Irene Y. Chen, Marzyeh Ghassemi, Maia Jacobs, Emma Pierson
2024	J	`jnl`	Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models. CoRR Brenda Y. Miao, Christopher Y. K. Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen
2024	—	`conf`	NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs. FAccT Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen
2024	—	`conf`	The Data Addition Dilemma. MLHC Judy Hanwen Shen, Inioluwa Deborah Raji, Irene Y. Chen
2024	J	`jnl`	The Data Addition Dilemma. CoRR Judy Hanwen Shen, Inioluwa Deborah Raji, Irene Y. Chen
2024	J	`jnl`	Updating the Minimum Information about CLinical Artificial Intelligence (MI-CLAIM) checklist for generative modeling research. CoRR Brenda Y. Miao, Irene Y. Chen, Christopher Y. K. Williams, Jaysón M. Davidson, Augusto Garcia-Agundez, Harry Sun, Travis Zack, Atul J. Butte, Madhumita Sushil
2023	J	`jnl`	Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration. CoRR Hussein Mozannar, Yuria Utsumi, Irene Y. Chen, Stephanie S. Gervasi, Michele Ewing, Aaron Smith-McLallen, David A. Sontag
2023	J	`jnl`	Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health. CoRR Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen
2023	J	`jnl`	Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs. CoRR Ayush Jain, Marie-Laure Charpignon, Irene Y. Chen, Anthony Philippakis, Ahmed M. Alaa
2022	A*	`conf`	Clustering Interval-Censored Time-Series for Disease Phenotyping. AAAI Irene Y. Chen, Rahul G. Krishnan, David A. Sontag
2022	—	`—`	Machine Learning Approaches for Equitable Healthcare Irene Y. Chen
2022	—	`conf`	Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
2022	J	`jnl`	Machine Learning for Health symposium 2022 - Extended Abstract track. CoRR Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy
2022	—	`ed.`	Machine Learning for Health, ML4H 2022, 28 November 2022, New Orleans, Lousiana, USA & Virtual. ML4H@NeurIPS Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy
2021	Misc	`conf`	CheXclusion: Fairness gaps in deep chest X-ray classifiers. PSB Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew B. A. McDermott, Irene Y. Chen, Marzyeh Ghassemi
2021	J	`jnl`	Clustering Left-Censored Multivariate Time-Series. CoRR Irene Y. Chen, Rahul G. Krishnan, David A. Sontag
2021	Misc	`conf`	Intimate Partner Violence and Injury Prediction From Radiology Reports. PSB Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana
2020	J	`jnl`	Ethical Machine Learning in Health Care. CoRR Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi
2020	J	`jnl`	Intimate Partner Violence and Injury Prediction From Radiology Reports. CoRR Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana
2020	J	`jnl`	Probabilistic Machine Learning for Healthcare. CoRR Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, Rajesh Ranganath
2020	Misc	`conf`	Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health KnowledgeGraph. PSB Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag
2019	J	`jnl`	Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. CoRR Irene Y. Chen, Monica Agrawal, Steven Horng, David A. Sontag
2018	A*	`conf`	Why Is My Classifier Discriminatory? NeurIPS Irene Y. Chen, Fredrik D. Johansson, David A. Sontag
2018	J	`jnl`	Why Is My Classifier Discriminatory? CoRR Irene Y. Chen, Fredrik D. Johansson, David A. Sontag