George H. Chen

70 papers A* 4A 1B 2C 3Journal 44Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis. CoRR Shahriar Noroozizadeh, Xiaobin Shen, Jeremy C. Weiss, George H. Chen
2025	J	`jnl`	Deep Kernel Aalen-Johansen Estimator: An Interpretable and Flexible Neural Net Framework for Competing Risks. CoRR Xiaobin Shen, George H. Chen
2025	J	`jnl`	Explaining the Success of Nearest Neighbor Methods in Prediction. CoRR George H. Chen, Devavrat Shah
2025	J	`jnl`	PMOA-TTS: Introducing the PubMed Open Access Textual Times Series Corpus. CoRR Shahriar Noroozizadeh, Sayantan Kumar, George H. Chen, Jeremy C. Weiss
2025	J	`jnl`	Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2025	—	`conf`	Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients. MLHC Xiaobin Shen, Jonathan Elmer, George H. Chen
2025	J	`jnl`	Stepwise Fine and Gray: Subject-Specific Variable Selection Shows When Hemodynamic Data Improves Prognostication of Comatose Post-Cardiac Arrest Patients. CoRR Xiaobin Shen, Jonathan Elmer, George H. Chen
2025	—	`conf`	The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis. CHIL Shahriar Noroozizadeh, Pim Welle, Jeremy C. Weiss, George H. Chen
2025	J	`jnl`	The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis. CoRR Shahriar Noroozizadeh, Pim Welle, Jeremy C. Weiss, George H. Chen
2024	J	`jnl`	An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes. CoRR George H. Chen
2024	J	`jnl`	An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes. Found. Trends Mach. Learn. George H. Chen
2024	J	`jnl`	Fairness in Survival Analysis with Distributionally Robust Optimization. CoRR Shu Hu, George H. Chen
2024	J	`jnl`	Fairness in Survival Analysis with Distributionally Robust Optimization. J. Mach. Learn. Res. Shu Hu, George H. Chen
2024	—	`conf`	Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series. ML4H@NeurIPS Mingzhu Liu, Angela H. Chen, George H. Chen
2024	J	`jnl`	Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series. CoRR Mingzhu Liu, Angela H. Chen, George H. Chen
2024	A	`conf`	Improving Fairness in Deepfake Detection. WACV Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu
2024	J	`jnl`	Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online. Manag. Sci. Emaad Manzoor, George H. Chen, Dokyun Lee, Michael D. Smith
2024	J	`jnl`	Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate. Artif. Intell. Medicine George H. Chen, Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss
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	J	`jnl`	Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee. J. Mach. Learn. Res. George H. Chen
2023	—	`conf`	A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information. CHIL George H. Chen
2023	J	`jnl`	A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information. CoRR George H. Chen
2023	J	`jnl`	ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. IEEE Trans. Knowl. Data Eng. Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen
2023	J	`jnl`	Improving Fairness in Deepfake Detection. CoRR Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu
2023	—	`conf`	Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks. MLHC Xiaobin Shen, Jonathan Elmer, George H. Chen
2023	J	`jnl`	Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks. CoRR Xiaobin Shen, Jonathan Elmer, George H. Chen
2023	—	`conf`	Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. ML4H@NeurIPS Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
2023	J	`jnl`	Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. CoRR Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
2022	J	`jnl`	A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022. CoRR Gerardo Flores, George H. Chen, Tom J. Pollard, Joyce C. Ho, Tristan Naumann
2022	A*	`conf`	BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022	J	`jnl`	Benchmarking Node Outlier Detection on Graphs. CoRR Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022	—	`conf`	Conference on Health, Inference, and Learning (CHIL) 2022. CHIL Gerardo Flores, George H. Chen, Tom J. Pollard, Ayah Zirikly, Michael C. Hughes, Tasmie Sarker, Joyce C. Ho, Tristan Naumann
2022	—	`ed.`	Conference on Health, Inference, and Learning, CHIL 2022, 7-8 April 2022, Virtual Event. CHIL Gerardo Flores, George H. Chen, Tom J. Pollard, Joyce C. Ho, Tristan Naumann
2022	—	`conf`	Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics. ML4H@NeurIPS Shu Hu, George H. Chen
2022	J	`jnl`	Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics. CoRR Shu Hu, George H. Chen
2022	J	`jnl`	ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. CoRR Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen
2022	J	`jnl`	PyGOD: A Python Library for Graph Outlier Detection. CoRR Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu
2022	J	`jnl`	Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee. CoRR George H. Chen
2022	J	`jnl`	TOD: GPU-accelerated Outlier Detection via Tensor Operations. Proc. VLDB Endow. Yue Zhao, George H. Chen, Zhihao Jia
2021	A*	`conf`	Machine Learning for Consumers and Markets. KDD Wen Wang, Han Zhao, Dokyun Lee, George H. Chen
2021	J	`jnl`	TOD: Tensor-based Outlier Detection. CoRR Yue Zhao, George H. Chen, Zhihao Jia
2020	—	`conf`	Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals. MLHC George H. Chen
2020	J	`jnl`	Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals. CoRR George H. Chen
2020	J	`jnl`	Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online. CoRR Emaad A. Manzoor, George H. Chen, Dokyun Lee, Michael D. Smith
2020	B	`conf`	Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. AIME Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
2020	B	`conf`	Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate. AIME Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
2020	J	`jnl`	Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate. CoRR Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
2020	J	`jnl`	Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning. CoRR Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
2019	C	`conf`	An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors. ICTD Wei Ma, Kendall Nowocin, Niraj Marathe, George H. Chen
2019	A*	`conf`	Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption. NeurIPS Wei Ma, George H. Chen
2019	J	`jnl`	Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption. CoRR Wei Ma, George H. Chen
2019	A*	`conf`	Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates. ICML George H. Chen
2019	J	`jnl`	Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates. CoRR George H. Chen
2019	J	`jnl`	Truck Traffic Monitoring with Satellite Images. CoRR Lynn H. Kaack, George H. Chen, M. Granger Morgan
2019	C	`conf`	Truck traffic monitoring with satellite images. COMPASS Lynn H. Kaack, George H. Chen, M. Granger Morgan
2018	J	`jnl`	An Interpretable Produce Price Forecasting System for Small and Marginal Farmers in India using Collaborative Filtering and Adaptive Nearest Neighbors. CoRR Wei Ma, Kendall Nowocin, Niraj Marathe, George H. Chen
2018	J	`jnl`	Explaining the Success of Nearest Neighbor Methods in Prediction. Found. Trends Mach. Learn. George H. Chen, Devavrat Shah
2017	C	`conf`	Toward Reducing Crop Spoilage and Increasing Small Farmer Profits in India: a Simultaneous Hardware and Software Solution. ICTD George H. Chen, Kendall Nowocin, Niraj Marathe
2017	J	`jnl`	Toward Reducing Crop Spoilage and Increasing Small Farmer Profits in India: a Simultaneous Hardware and Software Solution. CoRR George H. Chen, Kendall Nowocin, Niraj Marathe
2015	—	`conf`	A Latent Source Model for Patch-Based Image Segmentation. MICCAI (3) George H. Chen, Devavrat Shah, Polina Golland
2015	J	`jnl`	A Latent Source Model for Patch-Based Image Segmentation. CoRR George H. Chen, Devavrat Shah, Polina Golland
2015	—	`—`	Latent source models for nonparametric inference. George H. Chen
2015	J	`jnl`	Targeting Villages for Rural Development Using Satellite Image Analysis. Big Data Kush R. Varshney, George H. Chen, Brian Abelson, Kendall Nowocin, Vivek Sakhrani, Ling Xu, Brian L. Spatocco
2014	—	`conf`	A Latent Source Model for Online Collaborative Filtering. NIPS Guy Bresler, George H. Chen, Devavrat Shah
2014	J	`jnl`	A Latent Source Model for Online Collaborative Filtering. CoRR Guy Bresler, George H. Chen, Devavrat Shah
2013	—	`conf`	A Latent Source Model for Nonparametric Time Series Classification. NIPS George H. Chen, Stanislav Nikolov, Devavrat Shah
2013	J	`jnl`	A Latent Source Model for Online Time Series Classification CoRR George H. Chen, Stanislav Nikolov, Devavrat Shah
2013	J	`jnl`	Sparse Projections of Medical Images onto Manifolds CoRR George H. Chen, Christian Wachinger, Polina Golland
2013	—	`conf`	Sparse Projections of Medical Images onto Manifolds. IPMI George H. Chen, Christian Wachinger, Polina Golland
2011	—	`conf`	Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain. MLINI George H. Chen, Evelina Fedorenko, Nancy Kanwisher, Polina Golland