George H. Chen

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 45

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

George H. Chen, Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss
Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate. Artif. Intell. Medicine 154 (2024)
Emaad Manzoor, George H. Chen, Dokyun Lee, Michael D. Smith
Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online. Manag. Sci. 70 (3) (2024)
Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu
Improving Fairness in Deepfake Detection. WACV (2024)
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
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR (2024)
Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Xiaobin Shen, Jonathan Elmer, George H. Chen
Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks. MLHC (2023)
Xiaobin Shen, Jonathan Elmer, George H. Chen
Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks. CoRR (2023)
Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. CoRR (2023)
George H. Chen
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information. CHIL (2023)
George H. Chen
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information. CoRR (2023)
Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu
Improving Fairness in Deepfake Detection. CoRR (2023)
Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen
Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression. ML4H@NeurIPS (2023)
Gerardo Flores, George H. Chen, Tom J. Pollard, Ayah Zirikly, Michael C. Hughes, Tasmie Sarker, Joyce C. Ho, Tristan Naumann
Conference on Health, Inference, and Learning (CHIL) 2022. CHIL (2022)
George H. Chen
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee. CoRR (2022)
Shu Hu, George H. Chen
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics. CoRR (2022)
Shu Hu, George H. Chen
Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics. ML4H@NeurIPS (2022)
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
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS (2022)
Yue Zhao, George H. Chen, Zhihao Jia
TOD: GPU-accelerated Outlier Detection via Tensor Operations. Proc. VLDB Endow. 16 (3) (2022)
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
Benchmarking Node Outlier Detection on Graphs. CoRR (2022)
Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. CoRR (2022)
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
PyGOD: A Python Library for Graph Outlier Detection. CoRR (2022)
Gerardo Flores, George H. Chen, Tom J. Pollard, Joyce C. Ho, Tristan Naumann
A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022. CoRR (2022)
Yue Zhao, George H. Chen, Zhihao Jia
TOD: Tensor-based Outlier Detection. CoRR (2021)
Wen Wang, Han Zhao, Dokyun Lee, George H. Chen
Machine Learning for Consumers and Markets. KDD (2021)
Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate. AIME (2020)
Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen
Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate. CoRR (2020)
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning. AIME (2020)
Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss
Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning. CoRR (2020)
Emaad A. Manzoor, George H. Chen, Dokyun Lee, Michael D. Smith
Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online. CoRR (2020)
George H. Chen
Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals. MLHC (2020)
George H. Chen
Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals. CoRR (2020)
George H. Chen
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates. CoRR (2019)
Wei Ma, George H. Chen
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption. CoRR (2019)
George H. Chen
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates. ICML (2019)
Wei Ma, Kendall Nowocin, Niraj Marathe, George H. Chen
An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors. ICTD (2019)
Lynn H. Kaack, George H. Chen, M. Granger Morgan
Truck Traffic Monitoring with Satellite Images. CoRR (2019)
Wei Ma, George H. Chen
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption. NeurIPS (2019)
Lynn H. Kaack, George H. Chen, M. Granger Morgan
Truck traffic monitoring with satellite images. COMPASS (2019)
George H. Chen, Devavrat Shah
Explaining the Success of Nearest Neighbor Methods in Prediction. Found. Trends Mach. Learn. 10 (5-6) (2018)
Wei Ma, Kendall Nowocin, Niraj Marathe, George H. Chen
An Interpretable Produce Price Forecasting System for Small and Marginal Farmers in India using Collaborative Filtering and Adaptive Nearest Neighbors. CoRR (2018)
George H. Chen, Kendall Nowocin, Niraj Marathe
Toward Reducing Crop Spoilage and Increasing Small Farmer Profits in India: a Simultaneous Hardware and Software Solution. ICTD (2017)
George H. Chen, Kendall Nowocin, Niraj Marathe
Toward Reducing Crop Spoilage and Increasing Small Farmer Profits in India: a Simultaneous Hardware and Software Solution. CoRR (2017)
Kush R. Varshney, George H. Chen, Brian Abelson, Kendall Nowocin, Vivek Sakhrani, Ling Xu, Brian L. Spatocco
Targeting Villages for Rural Development Using Satellite Image Analysis. Big Data 3 (1) (2015)
George H. Chen, Devavrat Shah, Polina Golland
A Latent Source Model for Patch-Based Image Segmentation. MICCAI (3) (2015)
George H. Chen, Devavrat Shah, Polina Golland
A Latent Source Model for Patch-Based Image Segmentation. CoRR (2015)
Guy Bresler, George H. Chen, Devavrat Shah
A Latent Source Model for Online Collaborative Filtering. CoRR (2014)
Guy Bresler, George H. Chen, Devavrat Shah
A Latent Source Model for Online Collaborative Filtering. NIPS (2014)
George H. Chen, Stanislav Nikolov, Devavrat Shah
A Latent Source Model for Online Time Series Classification CoRR (2013)
George H. Chen, Stanislav Nikolov, Devavrat Shah
A Latent Source Model for Nonparametric Time Series Classification. NIPS (2013)
George H. Chen, Christian Wachinger, Polina Golland
Sparse Projections of Medical Images onto Manifolds. IPMI (2013)
George H. Chen, Christian Wachinger, Polina Golland
Sparse Projections of Medical Images onto Manifolds CoRR (2013)
George H. Chen, Evelina Fedorenko, Nancy Kanwisher, Polina Golland
Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain. MLINI (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

George H. Chen