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Gang Luo 0001
Person information
- affiliation: University of Washington, Department of Biomedical Informatics and Medical Education, Seattle, USA
- affiliation (former): University of Wisconsin, USA
Other persons with the same name
- Gang Luo — disambiguation page
- Gang Luo 0002
— Chang'an University, School of Highway, Xi'an, Shaanxi, China
- Gang Luo 0003
— Harvard Medical School, Department of Ophthalmology, Boston, MA, USA
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2020 – today
- 2024
- [j29]Qifei Dong
, Gang Luo
:
Progress Estimation for End-to-End Training of Deep Learning Models With Online Data Preprocessing. IEEE Access 12: 18658-18684 (2024) - 2023
- [c33]Ling Jiang
, Xiaoyu Chu
, Saaransh Gulati
, Pulkit Garg
, Andrew Borthwick
, Gang Luo
:
Proactive and Automatic Detection of Product Misclassifications at Massive Scale. CIKM 2023: 5242-5243 - 2022
- [j28]Qifei Dong
, Xiaoyi Zhang, Gang Luo
:
Improving the Accuracy of Progress Indication for Constructing Deep Learning Models. IEEE Access 10: 63754-63781 (2022) - [e8]El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Jun Kong, Gang Luo, Dejun Teng
, Fusheng Wang
:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13814, Springer 2022, ISBN 978-3-031-23904-5 [contents] - 2021
- [e7]Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang
, Gang Luo, Jun Kong, Alevtina Dubovitskaya:
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. Lecture Notes in Computer Science 12633, Springer 2021, ISBN 978-3-030-71054-5 [contents] - [e6]El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang
, Gang Luo, Jun Kong, Alevtina Dubovitskaya:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers. Lecture Notes in Computer Science 12921, Springer 2021, ISBN 978-3-030-93662-4 [contents] - 2020
- [j27]Qifei Dong
, Gang Luo
:
Progress Indication for Deep Learning Model Training: A Feasibility Demonstration. IEEE Access 8: 79811-79843 (2020) - [j26]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: 195971-195979 (2020) - [j25]Qifei Dong, Gang Luo, David R. 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): 1514-1526 (2020) - [c32]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: 213-227
2010 – 2019
- 2019
- [j24]Fusheng Wang
, Gang Luo:
Guest editorial: special issue on data management and analytics for healthcare. Distributed Parallel Databases 37(2): 233-234 (2019) - [e5]Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Fusheng Wang, Gang Luo, George Teodoro:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB 2018 Workshops, Poly and DMAH, Rio de Janeiro, Brazil, August 31, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11470, Springer 2019, ISBN 978-3-030-14176-9 [contents] - [e4]Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Fusheng Wang, Gang Luo, Yanhui Laing, Alevtina Dubovitskaya:
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB 2019 Workshops, Poly and DMAH, Los Angeles, CA, USA, August 30, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11721, Springer 2019, ISBN 978-3-030-33751-3 [contents] - 2018
- [j23]Gang Luo:
Progress Indication for Machine Learning Model Building: A Feasibility Demonstration. SIGKDD Explor. 20(2): 1-12 (2018) - [i2]Gang Luo:
Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction. CoRR abs/1812.02852 (2018) - [i1]Xueqiang Zeng, Gang Luo:
Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection. CoRR abs/1812.02855 (2018) - 2017
- [j22]Xueqiang Zeng, Gang Luo
:
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection. Health Inf. Sci. Syst. 5(1): 2 (2017) - [j21]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: 95-103 (2017) - [j20]Gang Luo:
Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution: A Position Paper. SIGKDD Explor. 19(2): 13-24 (2017) - [c31]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: 356-360 - [e3]Fusheng Wang, Lixia Yao, Gang Luo:
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. Lecture Notes in Computer Science 10186, 2017, ISBN 978-3-319-57740-1 [contents] - [e2]Edmon Begoli, Fusheng Wang, Gang Luo:
Data Management and Analytics for Medicine and Healthcare - Third International Workshop, DMAH 2017, Held at VLDB 2017, Munich, Germany, September 1, 2017, Proceedings. Lecture Notes in Computer Science 10494, Springer 2017, ISBN 978-3-319-67185-7 [contents] - 2016
- [j19]Gang Luo:
Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction. Health Inf. Sci. Syst. 4(1): 2 (2016) - [j18]Gang Luo:
PredicT-ML: a tool for automating machine learning model building with big clinical data. Health Inf. Sci. Syst. 4(1): 5 (2016) - [j17]Gang Luo:
A review of automatic selection methods for machine learning algorithms and hyper-parameter values. Netw. Model. Anal. Health Informatics Bioinform. 5(1): 18 (2016) - [j16]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): 644-654 (2016) - [c30]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: 62-72 - [e1]Fusheng Wang, Gang Luo, Chunhua Weng, Arijit Khan
, Prasenjit Mitra, Cong Yu:
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. Lecture Notes in Computer Science 9579, Springer 2016, ISBN 978-3-319-41575-8 [contents] - 2015
- [j15]Gang Luo:
MLBCD: a machine learning tool for big clinical data. Health Inf. Sci. Syst. 3(1): 3 (2015) - [j14]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: 84 (2015) - [j13]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: 99 (2015) - 2014
- [j12]Gang Luo, Flory L. Nkoy, Per H. Gesteland, Tiffany S. Glasgow, Bryan L. Stone:
A systematic review of predictive modeling for bronchiolitis. Int. J. Medical Informatics 83(10): 691-714 (2014) - [j11]Gang Luo:
A Roadmap for Designing a Personalized Search Tool for Individual Healthcare Providers. J. Medical Syst. 38(2): 6 (2014) - 2013
- [j10]Gang Luo:
Open Issues in Intelligent Personal Health Record - An Updated Status Report for 2012. J. Medical Syst. 37(3): 9943 (2013) - 2012
- [j9]Gang Luo, Wanli Min:
Distance-Constrained Orthogonal Latin Squares for Brain-Computer Interface. J. Medical Syst. 36(1): 159-166 (2012) - [j8]Gang Luo, Selena B. Thomas, Chunqiang Tang:
Automatic Home Medical Product Recommendation. J. Medical Syst. 36(2): 383-398 (2012) - [j7]Gang Luo:
Navigation Interface for Recommending Home Medical Products. J. Medical Syst. 36(2): 699-705 (2012) - [j6]Gang Luo, Chunqiang Tang, Selena B. Thomas:
Intelligent Personal Health Record: Experience and Open Issues. J. Medical Syst. 36(4): 2111-2128 (2012) - [j5]Gang Luo:
Triggers and Monitoring in Intelligent Personal Health Record. J. Medical Syst. 36(5): 2993-3009 (2012) - 2010
- [j4]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke:
Transaction reordering. Data Knowl. Eng. 69(1): 29-49 (2010) - [c29]Gang Luo, Chunqiang Tang, Selena B. Thomas:
Intelligent personal health record: experience and open issues. IHI 2010: 326-335 - [c28]Gang Luo:
V Locking Protocol for Materialized Aggregate Join Views on B-Tree Indices. WAIM 2010: 768-780
2000 – 2009
- 2009
- [j3]Gang Luo, Kun-Lung Wu, Philip S. Yu:
Answering linear optimization queries with an approximate stream index. Knowl. Inf. Syst. 20(1): 95-121 (2009) - [c27]Gang Luo, Chunqiang Tang:
Automatic Home Nursing Activity Recommendation. AMIA 2009 - [c26]Gang Luo:
Design and Evaluation of the iMed Intelligent Medical Search Engine. ICDE 2009: 1379-1390 - [c25]Gang Luo, Selena B. Thomas, Chunqiang Tang:
Intelligent Consumer-Centric Electronic Medical Record. MIE 2009: 120-124 - 2008
- [c24]Gang Luo:
Intelligent Output Interface for Intelligent Medical Search Engine. AAAI 2008: 1201-1206 - [c23]Gang Luo, Chunqiang Tang, Hao Yang, Xing Wei:
MedSearch: a specialized search engine for medical information retrieval. CIKM 2008: 143-152 - [c22]Gang Luo, Philip S. Yu:
Content-based filtering for efficient online materialized view maintenance. CIKM 2008: 163-172 - [c21]Gang Luo, Rong Yan, Philip S. Yu:
Real-time new event detection for video streams. CIKM 2008: 379-388 - [c20]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke:
Transaction reordering with application to synchronized scans. CIKM 2008: 1335-1336 - [c19]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke:
Transaction reordering with application to synchronized scans. DOLAP 2008: 17-24 - [c18]Gang Luo, Chunqiang Tang:
Challenging issues in iterative intelligent medical search. ICPR 2008: 1-4 - [c17]Gang Luo, Chunqiang Tang:
On iterative intelligent medical search. SIGIR 2008: 3-10 - 2007
- [j2]Gang Luo, Tong Chen, Hao Yu:
Toward a progress indicator for program compilation. Softw. Pract. Exp. 37(9): 909-933 (2007) - [c16]Gang Luo, Wanli Min:
Subject-Adaptive Real-Time Sleep Stage Classification Based on Conditional Random Field. AMIA 2007 - [c15]Gang Luo:
Partial Materialized Views. ICDE 2007: 756-765 - [c14]Gang Luo, Kun-Lung Wu, Philip S. Yu:
SAO: A Stream Index for Answering Linear Optimization Queries. ICDE 2007: 1302-1306 - [c13]Gang Luo, Chunqiang Tang, Philip S. Yu:
Resource-adaptive real-time new event detection. SIGMOD Conference 2007: 497-508 - [c12]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: 1185-1196 - [c11]Gang Luo, Chunqiang Tang, Ying-li Tian
:
Answering relationship queries on the web. WWW 2007: 561-570 - [c10]Gang Luo, Chunqiang Tang, Hao Yang, Xing Wei:
MedSearch: a specialized search engine for medical information. WWW 2007: 1175-1176 - 2006
- [c9]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke:
Transaction Reordering and Grouping for Continuous Data Loading. BIRTE 2006: 34-49 - [c8]Gang Luo, Jeffrey F. Naughton, Philip S. Yu:
Multi-query SQL Progress Indicators. EDBT 2006: 921-941 - [c7]Gang Luo:
Efficient Detection of Empty-Result Queries. VLDB 2006: 1015-1025 - 2005
- [j1]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke:
Locking Protocols for Materialized Aggregate Join Views. IEEE Trans. Knowl. Data Eng. 17(6): 796-807 (2005) - [c6]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke:
Increasing the Accuracy and Coverage of SQL Progress Indicators. ICDE 2005: 853-864 - 2004
- [c5]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke:
Toward a Progress Indicator for Database Queries. SIGMOD Conference 2004: 791-802 - 2003
- [c4]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke:
A Comparison of Three Methods for Join View Maintenance in Parallel RDBMS. ICDE 2003: 177-188 - [c3]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael Watzke:
Locking Protocols for Materialized Aggregate Join Views. VLDB 2003: 596-607 - 2002
- [c2]Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann:
A Non-Blocking Parallel Spatial Join Algorithm. ICDE 2002: 697-705 - [c1]Gang Luo, Curt J. Ellmann, Peter J. Haas, Jeffrey F. Naughton:
A scalable hash ripple join algorithm. SIGMOD Conference 2002: 252-262
Coauthor Index
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