Gang Luo

74 papers A* 13A 7B 2C 2Misc 2Journal 31Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A conf
Using Brand Knowledge Bases and LLM Agents to Enhance E-commerce Retailers' Catalog Quality.
WSDM
Hayreddin Çeker, Gang Luo, Kee Kiat Koo, Prashant Mathur, Wencong You, Atharva Amdekar, Rob Barton, Navaneet K. L., Vidit Bansal, Karim Bouyarmane
2025 A conf
Using Large Language Models to Improve Product Information in E-commerce Catalogs.
CIKM
Gang Luo, Julien Han, Hayreddin Çeker, Karim Bouyarmane
2024 J jnl
Progress Estimation for End-to-End Training of Deep Learning Models With Online Data Preprocessing.
IEEE Access
Qifei Dong, Gang Luo
2023 A conf
Proactive and Automatic Detection of Product Misclassifications at Massive Scale.
CIKM
Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick, Gang Luo
2022 — ed.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers
Poly/DMAH@VLDB
El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Jun Kong, Gang Luo, Dejun Teng, Fusheng Wang
2022 J jnl
Improving the Accuracy of Progress Indication for Constructing Deep Learning Models.
IEEE Access
Qifei Dong, Xiaoyi Zhang, Gang Luo
2021 — ed.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers
Poly/DMAH@VLDB
Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya
2021 — ed.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers
Poly/DMAH@VLDB
El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya
2020 J jnl
DicomAnnotator: a Configurable Open-Source Software Program for Efficient DICOM Image Annotation.
J. Digit. Imaging
Qifei Dong, Gang Luo, David R. Haynor, Michael O'Reilly, Ken Linnau, Ziv Yaniv, Jeffrey G. Jarvik, Nathan M. Cross
2020 — conf
Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection.
Poly/DMAH@VLDB
Weipeng Zhou, Gang Luo
2020 J jnl
Progress Indication for Deep Learning Model Training: A Feasibility Demonstration.
IEEE Access
Qifei Dong, Gang Luo
2020 J jnl
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
Yao Tong, Amanda I. Messinger, Gang Luo
2019 J jnl
Guest editorial: special issue on data management and analytics for healthcare.
Distributed Parallel Databases
Fusheng Wang, Gang Luo
2019 — ed.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB 2018 Workshops, Poly and DMAH, Rio de Janeiro, Brazil, August 31, 2018, Revised Selected Papers
Poly/DMAH@VLDB
Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Fusheng Wang, Gang Luo, George Teodoro
2019 — ed.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB 2019 Workshops, Poly and DMAH, Los Angeles, CA, USA, August 30, 2019, Revised Selected Papers
Poly/DMAH@VLDB
Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Fusheng Wang, Gang Luo, Yanhui Laing, Alevtina Dubovitskaya
2018 J jnl
Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction.
CoRR
Gang Luo
2018 J jnl
Progress Indication for Machine Learning Model Building: A Feasibility Demonstration.
SIGKDD Explor.
Gang Luo
2018 J jnl
Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection.
CoRR
Xueqiang Zeng, Gang Luo
2017 J jnl
Automatic identification of high impact articles in PubMed to support clinical decision making.
J. Biomed. Informatics
Jiantao Bian, Mohammad Amin Morid, Siddhartha Jonnalagadda, Gang Luo, Guilherme Del Fiol
2017 — ed.
Data Management and Analytics for Medicine and Healthcare - Second International Workshop, DMAH 2016, Held at VLDB 2016, New Delhi, India, September 9, 2016, Revised Selected Papers
DMAH@VLDB
Fusheng Wang, Lixia Yao, Gang Luo
2017 — ed.
Data Management and Analytics for Medicine and Healthcare - Third International Workshop, DMAH 2017, Held at VLDB 2017, Munich, Germany, September 1, 2017, Proceedings
DMAH@VLDB
Edmon Begoli, Fusheng Wang, Gang Luo
2017 — conf
General Symptom Extraction from VA Electronic Medical Notes.
MedInfo
Guy Divita, Gang Luo, Le-Thuy T. Tran, Terri Elizabeth Workman, Adi V. Gundlapalli, Matthew H. Samore
2017 J jnl
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection.
Health Inf. Sci. Syst.
Xueqiang Zeng, Gang Luo
2017 J jnl
Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution: A Position Paper.
SIGKDD Explor.
Gang Luo
2016 J jnl
A review of automatic selection methods for machine learning algorithms and hyper-parameter values.
Netw. Model. Anal. Health Informatics Bioinform.
Gang Luo
2016 J jnl
Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction.
Health Inf. Sci. Syst.
Gang Luo
2016 — ed.
Biomedical Data Management and Graph Online Querying - VLDB 2015 Workshops, Big-O(Q) and DMAH, Waikoloa, HI, USA, August 31 - September 4, 2015, Revised Selected Papers
Big-O(Q)/DMAH@VLDB
Fusheng Wang, Gang Luo, Chunhua Weng, Arijit Khan, Prasenjit Mitra, Cong Yu
2016 C conf
Dietary Management Software for Chronic Kidney Disease: Current Status and Open Issues.
HIS
Xiaorui Chen, Maureen A. Murtaugh, Corinna Koebnick, Srinivasan Beddhu, Jennifer H. Garvin, Mike Conway, Younghee Lee, Ramkiran Gouripeddi, Gang Luo
2016 J jnl
Efficient Execution Methods of Pivoting for Bulk Extraction of Entity-Attribute-Value-Modeled Data.
IEEE J. Biomed. Health Informatics
Gang Luo, Lewis J. Frey
2016 J jnl
PredicT-ML: a tool for automating machine learning model building with big clinical data.
Health Inf. Sci. Syst.
Gang Luo
2015 J jnl
A systematic review of predictive models for asthma development in children.
BMC Medical Informatics Decis. Mak.
Gang Luo, Flory L. Nkoy, Bryan L. Stone, Darell Schmick, Michael D. Johnson
2015 J jnl
MLBCD: a machine learning tool for big clinical data.
Health Inf. Sci. Syst.
Gang Luo
2015 J jnl
Predicting asthma control deterioration in children.
BMC Medical Informatics Decis. Mak.
Gang Luo, Bryan L. Stone, Bernhard A. Fassl, Christopher G. Maloney, Per H. Gesteland, Sashidhar Yerram, Flory Nkoy
2014 J jnl
A Roadmap for Designing a Personalized Search Tool for Individual Healthcare Providers.
J. Medical Syst.
Gang Luo
2014 J jnl
A systematic review of predictive modeling for bronchiolitis.
Int. J. Medical Informatics
Gang Luo, Flory L. Nkoy, Per H. Gesteland, Tiffany S. Glasgow, Bryan L. Stone
2013 J jnl
Open Issues in Intelligent Personal Health Record - An Updated Status Report for 2012.
J. Medical Syst.
Gang Luo
2012 J jnl
Automatic Home Medical Product Recommendation.
J. Medical Syst.
Gang Luo, Selena B. Thomas, Chunqiang Tang
2012 J jnl
Distance-Constrained Orthogonal Latin Squares for Brain-Computer Interface.
J. Medical Syst.
Gang Luo, Wanli Min
2012 J jnl
Intelligent Personal Health Record: Experience and Open Issues.
J. Medical Syst.
Gang Luo, Chunqiang Tang, Selena B. Thomas
2012 J jnl
Navigation Interface for Recommending Home Medical Products.
J. Medical Syst.
Gang Luo
2012 J jnl
Triggers and Monitoring in Intelligent Personal Health Record.
J. Medical Syst.
Gang Luo
2010 — conf
Intelligent personal health record: experience and open issues.
IHI
Gang Luo, Chunqiang Tang, Selena B. Thomas
2010 J jnl
Transaction reordering.
Data Knowl. Eng.
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
2010 — conf
V Locking Protocol for Materialized Aggregate Join Views on B-Tree Indices.
WAIM
Gang Luo
2009 J jnl
Answering linear optimization queries with an approximate stream index.
Knowl. Inf. Syst.
Gang Luo, Kun-Lung Wu, Philip S. Yu
2009 Misc conf
Automatic Home Nursing Activity Recommendation.
AMIA
Gang Luo, Chunqiang Tang
2009 A* conf
Design and Evaluation of the iMed Intelligent Medical Search Engine.
ICDE
Gang Luo
2009 — conf
Intelligent Consumer-Centric Electronic Medical Record.
MIE
Gang Luo, Selena B. Thomas, Chunqiang Tang
2008 B conf
Challenging issues in iterative intelligent medical search.
ICPR
Gang Luo, Chunqiang Tang
2008 A conf
Content-based filtering for efficient online materialized view maintenance.
CIKM
Gang Luo, Philip S. Yu
2008 A* conf
Intelligent Output Interface for Intelligent Medical Search Engine.
AAAI
Gang Luo
2008 A conf
MedSearch: a specialized search engine for medical information retrieval.
CIKM
Gang Luo, Chunqiang Tang, Hao Yang, Xing Wei
2008 A* conf
On iterative intelligent medical search.
SIGIR
Gang Luo, Chunqiang Tang
2008 A conf
Real-time new event detection for video streams.
CIKM
Gang Luo, Rong Yan, Philip S. Yu
2008 A conf
Transaction reordering with application to synchronized scans.
CIKM
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
2008 C conf
Transaction reordering with application to synchronized scans.
DOLAP
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
2007 A* conf
Answering relationship queries on the web.
WWW
Gang Luo, Chunqiang Tang, Ying-li Tian
2007 A* conf
Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S.
VLDB
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
2007 A* conf
MedSearch: a specialized search engine for medical information.
WWW
Gang Luo, Chunqiang Tang, Hao Yang, Xing Wei
2007 A* conf
Partial Materialized Views.
ICDE
Gang Luo
2007 — conf
Resource-adaptive real-time new event detection.
SIGMOD Conference
Gang Luo, Chunqiang Tang, Philip S. Yu
2007 A* conf
SAO: A Stream Index for Answering Linear Optimization Queries.
ICDE
Gang Luo, Kun-Lung Wu, Philip S. Yu
2007 Misc conf
Subject-Adaptive Real-Time Sleep Stage Classification Based on Conditional Random Field.
AMIA
Gang Luo, Wanli Min
2007 J jnl
Toward a progress indicator for program compilation.
Softw. Pract. Exp.
Gang Luo, Tong Chen, Hao Yu
2006 A* conf
Efficient Detection of Empty-Result Queries.
VLDB
Gang Luo
2006 B conf
Multi-query SQL Progress Indicators.
EDBT
Gang Luo, Jeffrey F. Naughton, Philip S. Yu
2006 — conf
Transaction Reordering and Grouping for Continuous Data Loading.
BIRTE
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
2005 A* conf
Increasing the Accuracy and Coverage of SQL Progress Indicators.
ICDE
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
2005 J jnl
Locking Protocols for Materialized Aggregate Join Views.
IEEE Trans. Knowl. Data Eng.
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
2004 — conf
Toward a Progress Indicator for Database Queries.
SIGMOD Conference
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
2003 A* conf
A Comparison of Three Methods for Join View Maintenance in Parallel RDBMS.
ICDE
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
2003 A* conf
Locking Protocols for Materialized Aggregate Join Views.
VLDB
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke
2002 A* conf
A Non-Blocking Parallel Spatial Join Algorithm.
ICDE
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann
2002 — conf
A scalable hash ripple join algorithm.
SIGMOD Conference
Gang Luo, Curt J. Ellmann, Peter J. Haas, Jeffrey F. Naughton