Gang Luo - RankMe

74 papers A* 13A 7B 2C 2Misc 2Journal 31Unranked 9

Year	Rank	Type	Title / 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