Haoran Zhang - RankMe

45 papers A* 7A 1Misc 1Journal 25Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations. CoRR Olawale Salaudeen, Haoran Zhang, Kumail Alhamoud, Sara Beery, Marzyeh Ghassemi
2025	J	`jnl`	Explainable AI as a Double-Edged Sword in Dermatology: The Impact on Clinicians versus The Public. CoRR Xuhai Xu, Haoyu Hu, Haoran Zhang, Will Ke Wang, Reina Wang, Luis R. Soenksen, Omar Badri, Sheharbano Jafry, Elise Burger, Lotanna Nwandu, Apoorva Mehta, Erik P. Duhaime, Asif Qasim, Hause Lin, Janis Pereira, Jonathan Hershon, Paulius Mui, Alejandro A. Gru, Noémie Elhadad, Lena Mamykina, Matthew Groh, Philipp Tschandl, Roxana Daneshjou, Marzyeh Ghassemi
2025	A*	`conf`	LEMoN: Label Error Detection using Multimodal Neighbors. ICML Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi
2025	J	`jnl`	Machine Learning for Health symposium 2024 - Findings track. CoRR Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2025	J	`jnl`	MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering. CoRR Yuexing Hao, Kumail Alhamoud, Hyewon Jeong, Haoran Zhang, Isha Puri, Philip Torr, Mike Schaekermann, Ariel Dora Stern, Marzyeh Ghassemi
2025	J	`jnl`	The Role of Computing Resources in Publishing Foundation Model Research. CoRR Yuexing Hao, Yue Huang, Haoran Zhang, Chenyang Zhao, Zhenwen Liang, Paul Pu Liang, Yue Zhao, Lichao Sun, Saleh Kalantari, Xiangliang Zhang, Marzyeh Ghassemi
2024	A*	`conf`	A Closer Look at AUROC and AUPRC under Class Imbalance. NeurIPS Matthew B. A. McDermott, Haoran Zhang, Lasse Hyldig Hansen, Giovanni Angelotti, Jack Gallifant
2024	J	`jnl`	A Closer Look at AUROC and AUPRC under Class Imbalance. CoRR Matthew B. A. McDermott, Lasse Hyldig Hansen, Haoran Zhang, Giovanni Angelotti, Jack Gallifant
2024	A*	`conf`	BendVLM: Test-Time Debiasing of Vision-Language Embeddings. NeurIPS Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas K. Sharma, Tom Hartvigsen, Marzyeh Ghassemi
2024	J	`jnl`	BendVLM: Test-Time Debiasing of Vision-Language Embeddings. CoRR Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas K. Sharma, Thomas Hartvigsen, Marzyeh Ghassemi
2024	—	`conf`	Identifying Implicit Social Biases in Vision-Language Models. AIES (1) Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi
2024	J	`jnl`	Identifying Implicit Social Biases in Vision-Language Models. CoRR Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi
2024	J	`jnl`	LEMoN: Label Error Detection using Multimodal Neighbors. CoRR Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi
2024	—	`conf`	Machine Learning for Health (ML4H) 2024. ML4H@NeurIPS Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang
2024	—	`ed.`	Machine Learning for Health, ML4H@NeurIPS 2024, Vancouver, Canada, 15-16 December 2024. ML4H@NeurIPS Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2024	J	`jnl`	Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
2024	A*	`conf`	Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation. ICLR Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, Marzyeh Ghassemi
2024	J	`jnl`	Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation. CoRR Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan, Marzyeh Ghassemi
2023	A*	`conf`	"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts. ICML Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi
2023	A*	`conf`	Change is Hard: A Closer Look at Subpopulation Shift. ICML Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi
2023	J	`jnl`	Change is Hard: A Closer Look at Subpopulation Shift. CoRR Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi
2023	J	`jnl`	Continuous Time Evidential Distributions for Irregular Time Series. CoRR Taylor W. Killian, Haoran Zhang, Thomas Hartvigsen, Ava P. Amini
2023	—	`conf`	Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
2023	J	`jnl`	The Limits of Fair Medical Imaging AI In The Wild. CoRR Yuzhe Yang, Haoran Zhang, Judy W. Gichoya, Dina Katabi, Marzyeh Ghassemi
2022	J	`jnl`	"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts. CoRR Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi
2022	—	`conf`	Improving the Fairness of Chest X-ray Classifiers. CHIL Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Pfohl, Marzyeh Ghassemi
2022	J	`jnl`	Improving the Fairness of Chest X-ray Classifiers. CoRR Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Robert Pfohl, Marzyeh Ghassemi
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`	PAN-cODE: COVID-19 forecasting using conditional latent ODEs. J. Am. Medical Informatics Assoc. Ruian Shi, Haoran Zhang, Quaid Morris
2022	—	`conf`	The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. FAccT Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi
2022	J	`jnl`	The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. CoRR Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi
2021	J	`jnl`	A comparison of approaches to improve worst-case predictive model performance over patient subpopulations. CoRR Stephen R. Pfohl, Haoran Zhang, Yizhe Xu, Agata Foryciarz, Marzyeh Ghassemi, Nigam H. Shah
2021	J	`jnl`	An Empirical Framework for Domain Generalization in Clinical Settings. CoRR Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi
2021	—	`conf`	An empirical framework for domain generalization in clinical settings. CHIL Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi
2021	A*	`conf`	Learning Optimal Predictive Checklists. NeurIPS Haoran Zhang, Quaid Morris, Berk Ustun, Marzyeh Ghassemi
2021	J	`jnl`	Learning Optimal Predictive Checklists. CoRR Haoran Zhang, Quaid Morris, Berk Ustun, Marzyeh Ghassemi
2021	A	`conf`	Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing. CIKM Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi
2021	J	`jnl`	Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing. CoRR Sindhu C. M. Gowda, Shalmali Joshi, Haoran Zhang, Marzyeh Ghassemi
2021	J	`jnl`	Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya
2020	—	`conf`	An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. ML4H@NeurIPS Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
2020	J	`jnl`	An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare. CoRR Taylor W. Killian, Haoran Zhang, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
2020	J	`jnl`	Hurtful Words: Quantifying Biases in Clinical Contextual Word Embeddings. CoRR Haoran Zhang, Amy X. Lu, Mohamed Abdalla, Matthew B. A. McDermott, Marzyeh Ghassemi
2020	—	`conf`	Hurtful words: quantifying biases in clinical contextual word embeddings. CHIL Haoran Zhang, Amy X. Lu, Mohamed Abdalla, Matthew B. A. McDermott, Marzyeh Ghassemi
2020	Misc	`conf`	Identifying Transitional High Cost Users from Unstructured Patient Profiles Written by Primary CarePhysicians. PSB Haoran Zhang, Elisa Candido, Andrew S. Wilton, Raquel Duchen, Liisa Jaakkimainen, Walter P. Wodchis, Quaid Morris
2019	—	`conf`	Categorizing Emails Using Machine Learning with Textual Features. Canadian AI Haoran Zhang, Jagadish Rangrej, Saad Rais, Michael Hillmer, Frank Rudzicz, Kamil Malikov