Gang Luo

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 23

Top Topics

Machine Learning

Healthcare Providers

Automatic Selection

Clinical Decision Making

Top Venues

Health Inf. Sci. Syst.

Publications

Qifei Dong, Gang Luo
Progress Estimation for End-to-End Training of Deep Learning Models With Online Data Preprocessing. IEEE Access 12 (2024)
Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick, Gang Luo
Proactive and Automatic Detection of Product Misclassifications at Massive Scale. CIKM (2023)
Qifei Dong, Xiaoyi Zhang, Gang Luo
Improving the Accuracy of Progress Indication for Constructing Deep Learning Models. IEEE Access 10 (2022)
Weipeng Zhou, Ryan J. Laundry, Paul L. Hebert, Gang Luo
Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development. CoRR (2021)
Qifei Dong, Gang Luo
Progress Indication for Deep Learning Model Training: A Feasibility Demonstration. IEEE Access 8 (2020)
Yao Tong, Amanda I. Messinger, Gang Luo
Testing the Generalizability of an Automated Method for Explaining Machine Learning Predictions on Asthma Patients' Asthma Hospital Visits to an Academic Healthcare System. IEEE Access 8 (2020)
Weipeng Zhou, Gang Luo
Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection. Poly/DMAH@VLDB (2020)
Qifei Dong, Gang Luo, David Haynor, Michael O'Reilly, Ken Linnau, Ziv Yaniv, Jeffrey G. Jarvik, Nathan M. Cross
DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation. J. Digit. Imaging 33 (6) (2020)
Xueqiang Zeng, Gang Luo
Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection. CoRR (2018)
Gang Luo
Progress Indication for Machine Learning Model Building: A Feasibility Demonstration. SIGKDD Explor. 20 (2) (2018)
Gang Luo
Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction. CoRR (2018)
Xueqiang Zeng, Gang Luo
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection. Health Inf. Sci. Syst. 5 (1) (2017)
Guy Divita, Gang Luo, Le-Thuy T. Tran, Terri Elizabeth Workman, Adi V. Gundlapalli, Matthew H. Samore
General Symptom Extraction from VA Electronic Medical Notes. MedInfo (2017)
Jiantao Bian, Mohammad Amin Morid, Siddhartha Jonnalagadda, Gang Luo, Guilherme Del Fiol
Automatic identification of high impact articles in PubMed to support clinical decision making. J. Biomed. Informatics 73 (2017)
Gang Luo
Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution: A Position Paper. SIGKDD Explor. 19 (2) (2017)
Xiaorui Chen, Maureen A. Murtaugh, Corinna Koebnick, Srinivasan Beddhu, Jennifer H. Garvin, Mike Conway, Younghee Lee, Ramkiran Gouripeddi, Gang Luo
Dietary Management Software for Chronic Kidney Disease: Current Status and Open Issues. HIS (2016)
Gang Luo, Lewis J. Frey
Efficient Execution Methods of Pivoting for Bulk Extraction of Entity-Attribute-Value-Modeled Data. IEEE J. Biomed. Health Informatics 20 (2) (2016)
Gang Luo
Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction. Health Inf. Sci. Syst. 4 (1) (2016)
Gang Luo
PredicT-ML: a tool for automating machine learning model building with big clinical data. Health Inf. Sci. Syst. 4 (1) (2016)
Gang Luo
A review of automatic selection methods for machine learning algorithms and hyper-parameter values. Netw. Model. Anal. Health Informatics Bioinform. 5 (1) (2016)
Gang Luo, Bryan L. Stone, Bernhard A. Fassl, Christopher G. Maloney, Per H. Gesteland, Sashidhar Yerram, Flory Nkoy
Predicting asthma control deterioration in children. BMC Medical Informatics Decis. Mak. 15 (2015)
Gang Luo
MLBCD: a machine learning tool for big clinical data. Health Inf. Sci. Syst. 3 (1) (2015)
Gang Luo, Flory L. Nkoy, Bryan L. Stone, Darell Schmick, Michael D. Johnson
A systematic review of predictive models for asthma development in children. BMC Medical Informatics Decis. Mak. 15 (2015)
Gang Luo
A Roadmap for Designing a Personalized Search Tool for Individual Healthcare Providers. J. Medical Syst. 38 (2) (2014)
Gang Luo
Open Issues in Intelligent Personal Health Record - An Updated Status Report for 2012. J. Medical Syst. 37 (3) (2013)
Gang Luo, Wanli Min
Distance-Constrained Orthogonal Latin Squares for Brain-Computer Interface. J. Medical Syst. 36 (1) (2012)
Gang Luo, Chunqiang Tang, Selena B. Thomas
Intelligent Personal Health Record: Experience and Open Issues. J. Medical Syst. 36 (4) (2012)
Gang Luo
Navigation Interface for Recommending Home Medical Products. J. Medical Syst. 36 (2) (2012)
Gang Luo
Triggers and Monitoring in Intelligent Personal Health Record. J. Medical Syst. 36 (5) (2012)
Gang Luo, Selena B. Thomas, Chunqiang Tang
Automatic Home Medical Product Recommendation. J. Medical Syst. 36 (2) (2012)
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
Transaction reordering. Data Knowl. Eng. 69 (1) (2010)
Gang Luo
V Locking Protocol for Materialized Aggregate Join Views on B-Tree Indices. WAIM (2010)
Gang Luo, Chunqiang Tang, Selena B. Thomas
Intelligent personal health record: experience and open issues. IHI (2010)
Gang Luo, Kun-Lung Wu, Philip S. Yu
Answering linear optimization queries with an approximate stream index. Knowl. Inf. Syst. 20 (1) (2009)
Gang Luo, Selena B. Thomas, Chunqiang Tang
Intelligent Consumer-Centric Electronic Medical Record. MIE (2009)
Gang Luo
Design and Evaluation of the iMed Intelligent Medical Search Engine. ICDE (2009)
Gang Luo, Chunqiang Tang
Automatic Home Nursing Activity Recommendation. AMIA (2009)
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
Transaction reordering with application to synchronized scans. DOLAP (2008)
Gang Luo, Chunqiang Tang
On iterative intelligent medical search. SIGIR (2008)
Gang Luo, Philip S. Yu
Content-based filtering for efficient online materialized view maintenance. CIKM (2008)
Gang Luo, Rong Yan, Philip S. Yu
Real-time new event detection for video streams. CIKM (2008)
Gang Luo
Intelligent Output Interface for Intelligent Medical Search Engine. AAAI (2008)
Gang Luo, Chunqiang Tang, Hao Yang, Xing Wei
MedSearch: a specialized search engine for medical information retrieval. CIKM (2008)
Gang Luo, Chunqiang Tang
Challenging issues in iterative intelligent medical search. ICPR (2008)
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
Transaction reordering with application to synchronized scans. CIKM (2008)
Gang Luo
Partial Materialized Views. ICDE (2007)
Gang Luo, Chunqiang Tang, Philip S. Yu
Resource-adaptive real-time new event detection. SIGMOD Conference (2007)
Kun-Lung Wu, Philip S. Yu, Bugra Gedik, Kirsten Hildrum, Charu C. Aggarwal, Eric Bouillet, Wei Fan, David George, Xiaohui Gu, Gang Luo, Haixun Wang
Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. VLDB (2007)
Gang Luo, Kun-Lung Wu, Philip S. Yu
SAO: A Stream Index for Answering Linear Optimization Queries. ICDE (2007)
Gang Luo, Chunqiang Tang, Ying-li Tian
Answering relationship queries on the web. WWW (2007)
Gang Luo, Chunqiang Tang, Hao Yang, Xing Wei
MedSearch: a specialized search engine for medical information. WWW (2007)
Gang Luo, Tong Chen, Hao Yu
Toward a progress indicator for program compilation. Softw. Pract. Exp. 37 (9) (2007)
Gang Luo, Wanli Min
Subject-Adaptive Real-Time Sleep Stage Classification Based on Conditional Random Field. AMIA (2007)
Gang Luo
Efficient Detection of Empty-Result Queries. VLDB (2006)
Gang Luo, Jeffrey F. Naughton, Philip S. Yu
Multi-query SQL Progress Indicators. EDBT (2006)
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
Transaction Reordering and Grouping for Continuous Data Loading. BIRTE (2006)
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
Locking Protocols for Materialized Aggregate Join Views. IEEE Trans. Knowl. Data Eng. 17 (6) (2005)
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
Increasing the Accuracy and Coverage of SQL Progress Indicators. ICDE (2005)
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
Toward a Progress Indicator for Database Queries. SIGMOD Conference (2004)
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
Locking Protocols for Materialized Aggregate Join Views. VLDB (2003)
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann
A Non-Blocking Parallel Spatial Join Algorithm. ICDE (2002)
Gang Luo, Curt J. Ellmann, Peter J. Haas, Jeffrey F. Naughton
A scalable hash ripple join algorithm. SIGMOD Conference (2002)