Kenney Ng

ORCID

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 49

Top Venues

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

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Bum Chul Kwon, Samuel F. Friedman, Kai Xu, Steven A. Lubitz, Anthony Philippakis, Puneet Batra, Patrick T. Ellinor, Kenney Ng
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration. CoRR (2023)
Divya Ramamoorthy, Kristen Severson, Soumya Ghosh, Karen Sachs, Emily G. Baxi, Alyssa N. Coyne, Elizabeth Mosmiller, Lindsey Hayes, Aianna Cerezo, Omar Ahmad, Promit Roy, Steven Zeiler, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry, Terri Thompson, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass, Christina N. Fournier, Alexander Sherman, Christian Lunetta, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng, Ernest Fraenkel
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. Nat. Comput. Sci. 2 (9) (2022)
Uri Kartoun, Shaan Khurshid, BC Kwon, Aniruddh P. Patel, Akl Fahed, Puneet Batra, Anthony Philippakis, Steven A. Lubitz, Amit V. Khera, Patrick Ellinor, Vibha Anand, Kenney Ng
Assessing the Robustness and Internal Consistency of the Pooled Cohort Equations. AMIA (2022)
Uri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz
Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank. AMIA (2022)
Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Mikhail Yurochkin, Subha Maity, Deanna G. Brockman, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. IEEE VIS (Short Papers) (2022)
Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed F. Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer
Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns 3 (5) (2022)
Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Mikhail Yurochkin, Subha Maity, Deanna G. Brockman, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups. CoRR (2022)
Marcus D. R. Klarqvist, Saaket Agrawal, Nathaniel Diamant, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera
Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk. npj Digit. Medicine 5 (2022)
Uri Kartoun, Shaan Khurshid, Bum Chul Kwon, Amit V. Khera, Patrick T. Ellinor, Steven A. Lubitz, Kenney Ng
How Robust is Your Risk Model? Assessing Subpopulation Performance Heterogeneity in Risk Models Based on Discrimination, Calibration, and Fairness Measures: An Atrial Fibrillation Use Case. AMIA (2021)
Paul C. Tang, Sarah Miller, Harry Stavropoulos, Uri Kartoun, John Zambrano, Kenney Ng
Precision population analytics: population management at the point-of-care. J. Am. Medical Informatics Assoc. 28 (3) (2021)
Raluca Cobzaru, Sharon Jiang, Kenney Ng, Stan Finkelstein, Roy Welsch, Zachary Shahn
State of the Art Causal Inference in the Presence of Extraneous Covariates: A Simulation Study. AMIA (2021)
Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways. IEEE Trans. Vis. Comput. Graph. 27 (9) (2021)
Zefang Tang, Yiqin Yu, Kenney Ng, Daby Sow, Jianying Hu, Jing Mei
Disease network delineates the disease progression profile of cardiovascular diseases. J. Biomed. Informatics 115 (2021)
Bum Chul Kwon, Uri Kartoun, Shaan Khurshid, Amit V. Khera, Patrick Ellinor, Steven A. Lubitz, Kenney Ng
Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population Subgroups. AMIA (2021)
Sanjoy Dey, Aritra Bose, Subrata Saha, Prithwish Chakraborty, Mohamed F. Ghalwash, Filippo Utro, Aldo Guzmán-Sáenz, Kenney Ng, Jianying Hu, Laxmi Parida, Daby Sow
Impact of Clinical and Genomic Factors on COVID-19 Disease Severity. AMIA (2021)
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
Post-hoc loss-calibration for Bayesian neural networks. UAI (2021)
Saaket Agrawal, Marcus D. R. Klarqvist, Connor Emdin, Aniruddh P. Patel, Manish D. Paranjpe, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera
Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction. Patterns 2 (12) (2021)
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
Post-hoc loss-calibration for Bayesian neural networks. CoRR (2021)
Prithwish Chakraborty, James V. Codella, Piyush Madan, Ying Li, Hu Huang, Yoonyoung Park, Chao Yan, Ziqi Zhang, Cheng Gao, Steve Nyemba, Xu Min, Sanjib Basak, Mohamed Ghalwash, Zach Shahn, Parthasararathy Suryanarayanan, Italo Buleje, Shannon Harrer, Sarah Miller, Amol Rajmane, Colin Walsh, Jonathan Wanderer, Gigi Y. Yuen-Reed, Kenney Ng, Daby Sow, Bradley A. Malin
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. CoRR (2021)
Ying Li, Bin Liu, Vibha Anand, Markus Lundgren, Kenney Ng, Marian Rewers, Riitta Veijola, Mohamed Ghalwash
Predicting Type 1 Diabetes Onset using Novel Survival Analysis with Biomarker Ontology. AMIA (2020)
Kristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh
Personalized Input-Output Hidden Markov Models for Disease Progression Modeling. MLHC (2020)
Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand
Modeling Disease Progression Trajectories from Longitudinal Observational Data. AMIA (2020)
Mohamed Ghalwash, Vibha Anand, Kenney Ng, Jessica L. Dunne, Markus Lundgren, Marian Rewers, Riitta Veijola
Leveraging Longitudinal Autoantibody for Phenotyping of Progression Rates to Type 1 Diabetes. AMIA (2020)
Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR (2020)
Bin Liu, Ying Li, Kenney Ng
Prognostication and Outcome-specific Risk Factor Identification for Diabetes Care via Private-shared Multi-task Learning. IEEE BigData (2020)
Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
Complication Risk Profiling in Diabetes Care: A Bayesian Multi-Task and Feature Relationship Learning Approach. IEEE Trans. Knowl. Data Eng. 32 (7) (2020)
Paul Myers, Kenney Ng, Kristen A. Severson, Uri Kartoun, Wangzhi Dai, Wei Huang, Fred Anderson, Collin M. Stultz
Identifying unreliable predictions in clinical risk models. npj Digit. Medicine 3 (2020)
Prithwish Chakraborty, Bum Chul Kwon, Sanjoy Dey, Amit Dhurandhar, Daniel Gruen, Kenney Ng, Daby Sow, Kush R. Varshney
Tutorial on Human-Centered Explainability for Healthcare. KDD (2020)
Zefang Tang, Lun Hu, Xu Min, Yuan Zhang, Jing Mei, Kenney Ng, Shaochun Li, Pengwei Hu, Zhuhong You
Embracing Disease Progression with a Learning System for Real World Evidence Discovery. ICIC (2) (2020)
Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand, the T1DI Study Group
Modeling Disease Progression Trajectories from Longitudinal Observational Data. CoRR (2020)
Wangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin Stultz
Generative Oversampling with a Contrastive Variational Autoencoder. ICDM (2019)
Kristen A. Severson, Soumya Ghosh, Kenney Ng
Unsupervised Learning with Contrastive Latent Variable Models. AAAI (2019)
Sanjoy Dey, Ping Zhang, Daby Sow, Kenney Ng
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data. KDD (2019)
Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
DPVis: Visual Exploration of Disease Progression Pathways. CoRR (2019)
Chris Kakkanatt, Michael Benigno, Margaret Jackson, Paul Huang, Kenney Ng
Curating and integrating user-generated health data from multiple sources to support healthcare analytics. IBM J. Res. Dev. 62 (1) (2018)
Sanjoy Dey, Ping Zhang, Kenney Ng
Estimating Personalized Drug Effects with Longitudinal Observational Data. AMIA (2018)
Ching-Hua Chen, Kenney Ng
Preface: User-generated health data and applications. IBM J. Res. Dev. 62 (1) (2018)
Kristen A. Severson, Soumya Ghosh, Kenney Ng
Unsupervised learning with contrastive latent variable models. CoRR (2018)
Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu
Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care. CoRR (2018)
Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, Kenney Ng
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach. AAAI (2018)
Bum Chul Kwon, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher deFilippi, Walter F. Stewart, Adam Perer
Clustervision: Visual Supervision of Unsupervised Clustering. IEEE Trans. Vis. Comput. Graph. 24 (1) (2018)
Sanjoy Dey, Yajuan Wang, Roy J. Byrd, Kenney Ng, Steven R. Steinhubl, Christopher deFilippi, Walter F. Stewart
Characterizing Physicians Practice Phenotype from Unstructured Electronic Health Records. AMIA (2016)
Josua Krause, Adam Perer, Kenney Ng
Interacting with Predictions: Visual Inspection of Black-box Machine Learning Models. CHI (2016)
Murthy V. Devarakonda, Neil Mehta, Christopher Nielson, Kenney Ng, Preethi Raghavan
Watson Cognitive Computing for Electronic Medical Records. AMIA (2016)
Kenney Ng, Walter F. Stewart, Christopher deFilippi, Steven R. Steinhubl
Data Driven Modeling of Electronic Health Record Data to Detect Pre-Diagnostic Heart Failure Subtypes in Primary Care. CRI (2016)
Kenney Ng, Yajuan Wang, Jianying Hu, Walter F. Stewart, Steven R. Steinhubl, Christopher deFilippi
Early Detection of Heart Failure using Data Driven Modeling Approaches on Electronic Health Records: How far can one go without Domain Knowledge? AMIA (2015)
Kenney Ng, Chris Kakkanatt, Michael Benigno, Clay Thompson, Margaret Jackson, Amos Cahan, Xinxin Zhu, Ping Zhang, Paul Huang
Curating and Integrating Data from Multiple Sources to Support Healthcare Analytics. MedInfo (2015)
Yajuan Wang, Kenney Ng, Roy J. Byrd, Jianying Hu, Shahram Ebadollahi, Zahra Daar, Christopher deFilippi, Steven R. Steinhubl, Walter F. Stewart
Early detection of heart failure with varying prediction windows by structured and unstructured data in electronic health records. EMBC (2015)
Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga
Towards Cognitive Automation of Data Science. AAAI (2015)
Kenney Ng, Amol Ghoting, Steven R. Steinhubl, Walter F. Stewart, Bradley A. Malin, Jimeng Sun
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records. J. Biomed. Informatics 48 (2014)
Sachindra Joshi, Danish Contractor, Kenney Ng, Prasad M. Deshpande, Thomas Hampp
Auto-Grouping Emails For Faster E-Discovery. Proc. VLDB Endow. 4 (12) (2011)
Kenney Ng, Victor W. Zue
Subword-based approaches for spoken document retrieval. Speech Commun. 32 (3) (2000)
Kenney Ng
Towards an integrated approach for spoken document retrieval. INTERSPEECH (2000)
Kenney Ng
Information fusion for spoken document retrieval. ICASSP (2000)
Kenney Ng
A Maximum Likelihood Ratio Information Retrieval Model. TREC (1999)
Kenney Ng, Victor W. Zue
Phonetic recognition for spoken document retrieval. ICASSP (1998)
Kenney Ng
Towards robust methods for spoken document retrieval. ICSLP (1998)
Kenney Ng, Victor W. Zue
Subword unit representations for spoken document retrieval. EUROSPEECH (1997)
Herbert Gish, Kenney Ng
Parametric trajectory models for speech recognition. ICSLP (1996)
Philippe Jeanrenaud, Ellen Eide, Upendra V. Chaudhari, John W. McDonough, Kenney Ng, Man-Hung Siu, Herbert Gish
Reducing word error rate on conversational speech from the Switchboard corpus. ICASSP (1995)
John W. McDonough, Kenney Ng, Philippe Jeanrenaud, Herbert Gish, Jan Robin Rohlicek
Approaches to topic identification on the switchboard corpus. ICASSP (1) (1994)
Philippe Jeanrenaud, Kenney Ng, Man-Hung Siu, Jan Robin Rohlicek, Herbert Gish
Phonetic-based word spotter: various configurations and application to event spotting. EUROSPEECH (1993)
Jan Robin Rohlicek, Philippe Jeanrenaud, Kenney Ng, Herbert Gish, Bruce R. Musicus, Man-Hung Siu
Phonetic training and language modeling for word spotting. ICASSP (2) (1993)
Herbert Gish, Kenney Ng
A segmental speech model with applications to word spotting. ICASSP (2) (1993)
Kenney Ng, Herbert Gish, Jan Robin Rohlicek
Robust mapping of noisy speech parameters for HMM word spotting. ICASSP (1992)
Herbert Gish, Kenney Ng, Jan Robin Rohlicek
Secondary processing using speech segments for an HMM word spotting system. ICSLP (1992)
Kenney Ng, Richard Lippmann
Practical Characteristics of Neural Network and Conventional Patterns Classifiers. NIPS (1990)

Kenney Ng.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kenney Ng