George H. Chen

According to our database, George H. Chen authored at least 35 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

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 Gursoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

Improving Fairness in Deepfake Detection.

Yan Ju, Shu Hu, Shan Jia, George H. Chen, Siwei Lyu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions.

Zheng Li, Yue Zhao, Xiyang Hu, Nicola Botta, Cezar Ionescu, George H. Chen

IEEE Trans. Knowl. Data Eng., December, 2023

Neurological Prognostication of Post-Cardiac-Arrest Coma Patients Using EEG Data: A Dynamic Survival Analysis Framework with Competing Risks.

Xiaobin Shen, Jonathan Elmer, George H. Chen

Proceedings of the Machine Learning for Healthcare Conference, 2023

Temporal Supervised Contrastive Learning for Modeling Patient Risk Progression.

Shahriar Noroozizadeh, Jeremy C. Weiss, George H. Chen

Proceedings of the Machine Learning for Health, 2023

A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information.

George H. Chen

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

TOD: GPU-accelerated Outlier Detection via Tensor Operations.

Yue Zhao, George H. Chen, Zhihao Jia

Proc. VLDB Endow., 2022

Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee.

George H. Chen

CoRR, 2022

Benchmarking Node Outlier Detection on Graphs.

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

CoRR, 2022

A collection of invited non-archival papers for the Conference on Health, Inference, and Learning (CHIL) 2022.

Gerardo Flores, George H. Chen, Tom J. Pollard, Joyce C. Ho, Tristan Naumann

CoRR, 2022

PyGOD: A Python Library for Graph Outlier Detection.

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

CoRR, 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics.

Shu Hu, George H. Chen

Proceedings of the Machine Learning for Health, 2022

Conference on Health, Inference, and Learning (CHIL) 2022.

Gerardo Flores, George H. Chen, Tom J. Pollard, Ayah Zirikly, Michael C. Hughes, Tasmie Sarker, Joyce C. Ho, Tristan Naumann

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

TOD: Tensor-based Outlier Detection.

Yue Zhao, George H. Chen, Zhihao Jia

CoRR, 2021

Machine Learning for Consumers and Markets.

Wen Wang, Han Zhao, Dokyun Lee, George H. Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Predicting Mortality Risk in Viral and Unspecified Pneumonia to Assist Clinicians with COVID-19 ECMO Planning.

Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss

CoRR, 2020

Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online.

Emaad A. Manzoor, George H. Chen, Dokyun Lee, Michael D. Smith

CoRR, 2020

Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals.

George H. Chen

Proceedings of the Machine Learning for Healthcare Conference, 2020

Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning.

Helen Zhou, Cheng Cheng, Zachary C. Lipton, George H. Chen, Jeremy C. Weiss

Proceedings of the Artificial Intelligence in Medicine, 2020

Neural Topic Models with Survival Supervision: Jointly Predicting Time-to-Event Outcomes and Learning How Clinical Features Relate.

Linhong Li, Ren Zuo, Amanda Coston, Jeremy C. Weiss, George H. Chen

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption.

Wei Ma, George H. Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An interpretable produce price forecasting system for small and marginal farmers in India using collaborative filtering and adaptive nearest neighbors.

Wei Ma, Kendall Nowocin, Niraj Marathe, George H. Chen

Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, 2019

Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates.

George H. Chen

Proceedings of the 36th International Conference on Machine Learning, 2019

Truck traffic monitoring with satellite images.

Lynn H. Kaack, George H. Chen, M. Granger Morgan

Proceedings of the Conference on Computing & Sustainable Societies, 2019

2018

Explaining the Success of Nearest Neighbor Methods in Prediction.

George H. Chen, Devavrat Shah

Found. Trends Mach. Learn., 2018

2017

Toward Reducing Crop Spoilage and Increasing Small Farmer Profits in India: a Simultaneous Hardware and Software Solution.

George H. Chen, Kendall Nowocin, Niraj Marathe

Proceedings of the Ninth International Conference on Information and Communication Technologies and Development, 2017

2015

Latent source models for nonparametric inference.

George H. Chen

PhD thesis, 2015

Targeting Villages for Rural Development Using Satellite Image Analysis.

Kush R. Varshney, George H. Chen, Brian Abelson, Kendall Nowocin, Vivek Sakhrani, Ling Xu, Brian L. Spatocco

Big Data, 2015

A Latent Source Model for Patch-Based Image Segmentation.

George H. Chen, Devavrat Shah, Polina Golland

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2014

A Latent Source Model for Online Collaborative Filtering.

Guy Bresler, George H. Chen, Devavrat Shah

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

A Latent Source Model for Online Time Series Classification

George H. Chen, Stanislav Nikolov, Devavrat Shah

CoRR, 2013

A Latent Source Model for Nonparametric Time Series Classification.

George H. Chen, Stanislav Nikolov, Devavrat Shah

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Sparse Projections of Medical Images onto Manifolds.

George H. Chen, Christian Wachinger, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2013

2011

Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain.

George H. Chen, Evelina Fedorenko, Nancy Kanwisher, Polina Golland

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011