Byron J. Gao

57 papers A* 11A 12B 3C 1Journal 15Unranked 15
YearRankTypeTitle / Venue / Authors
2024 B conf
Introducing the Converse k-clustering Problem.
IEEE Big Data
Byron J. Gao
2023 B conf
Introducing the Partial Clustering Problem.
IEEE Big Data
Byron J. Gao
2022 B conf
COMPA: A Comparative Retrieval and Analytical Engine for Consumer Products.
IEEE Big Data
Ramses J. Sotelo Jimenez, Bhavya Medishetty, Byron J. Gao
2021 A conf
When is Nearest Neighbor Meaningful: Sequential Data.
CIKM
Aaron Hui, Byron J. Gao
2020 — conf
A Preliminary Experimental Analysis on RateMyProfessors.
IEEE BigData
Byron J. Gao, Alexander Katrompas
2020 — conf
Pattern Exploration as Keyword Search.
IEEE BigData
Byron J. Gao
2019 — conf
CoRank: Simultaneously Ranking Publication Venues and Researchers.
IEEE BigData
Byron J. Gao, Gayathri Karupakula Jagadeesh Kumar
2019 — conf
Statistical Correction of Average Customer Ratings for Product Ranking.
IEEE BigData
Byron J. Gao, Frank Medjo
2018 — conf
Investigating Comparative Evaluation for Large Data.
IEEE BigData
Jose Antonio Martinez Torres, Byron J. Gao
2018 — conf
LIGHT: Enabling Instant Communication for Web Surfers with Momentary Needs.
IEEE BigData
Byron J. Gao, Jose A. Lopez
2017 — conf
Iterative matrix correlation for bisection clustering.
IEEE BigData
Byron J. Gao, Robert Tung, Yong Yang
2017 — conf
Personalized search with editable profiles.
IEEE BigData
Binyam A. Zemede, Byron J. Gao
2016 J jnl
Multi-label classification via learning a unified object-label graph with sparse representation.
World Wide Web
Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Xue Li, Sen Wang
2015 J jnl
A Cooperative Coevolution Framework for Parallel Learning to Rank.
IEEE Trans. Knowl. Data Eng.
Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady Wirawan Lauw, Jun Ma
2015 J jnl
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.
IEEE Trans. Knowl. Data Eng.
Peng Zhang, Chuan Zhou, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo
2015 — conf
Real-Time Prediction of Blood Alcohol Content Using Smartwatch Sensor Data.
ICSH
Mario A. Gutierrez, Michelle L. Fast, Anne H. H. Ngu, Byron J. Gao
2015 J jnl
Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things.
CoRR
Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Boualem Benatallah, Xue Li
2014 A conf
Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things.
CIKM
Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao
2014 J jnl
VSRank: A Novel Framework for Ranking-Based Collaborative Filtering.
ACM Trans. Intell. Syst. Technol.
Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma
2013 A* conf
A Model for Discovering Correlations of Ubiquitous Things.
ICDM
Lina Yao, Quan Z. Sheng, Byron J. Gao, Anne H. H. Ngu, Xue Li
2013 J jnl
A novel two-box search paradigm for query disambiguation.
World Wide Web
David C. Anastasiu, Byron J. Gao, Xing Jiang, George Karypis
2013 — conf
MASFA: mass-collaborative faceted search for online communities.
WWW (Companion Volume)
Seth B. Cleveland, Byron J. Gao
2013 C conf
SmartMart: IoT-based In-store mapping for mobile devices.
CollaborateCom
Dylan Hicks, Kevin Mannix, Hannah M. Bowles, Byron J. Gao
2013 J jnl
The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining.
IEEE Trans. Knowl. Data Eng.
Byron J. Gao, Martin Ester, Hui Xiong, Jin-Yi Cai, Oliver Schulte
2013 J jnl
User-Centric Organization of Search Results.
IEEE Internet Comput.
Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan
2012 — conf
A Subjective Logic Framework for Multi-Document Summarization.
COLING (Posters)
Sukanya Manna, Byron J. Gao, Reed Coke
2012 J jnl
A framework for application-driven classification of data streams.
Neurocomputing
Peng Zhang, Byron J. Gao, Ping Liu, Yong Shi, Li Guo
2012 A conf
Adapting vector space model to ranking-based collaborative filtering.
CIKM
Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma
2012 A conf
Cager: a framework for cross-page search.
CIKM
Zhumin Chen, Byron J. Gao, Qi Kang
2012 A conf
Information-complete and redundancy-free keyword search over large data graphs.
CIKM
Byron J. Gao, Zhumin Chen, Qi Kang
2012 A conf
Learning to rank for hybrid recommendation.
CIKM
Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma
2012 J jnl
On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach.
IEEE Trans. Knowl. Data Eng.
Byron J. Gao, Obi L. Griffith, Martin Ester, Hui Xiong, Qiang Zhao, Steven J. M. Jones
2012 A conf
Polygene-based evolution: a novel framework for evolutionary algorithms.
CIKM
Shuaiqiang Wang, Byron J. Gao, Shuangling Wang, Guibao Cao, Yilong Yin
2011 A conf
A framework for personalized and collaborative clustering of search results.
CIKM
David C. Anastasiu, Byron J. Gao, David Buttler
2011 A* conf
CCRank: Parallel Learning to Rank with Cooperative Coevolution.
AAAI
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
2011 A* conf
ClusteringWiki: personalized and collaborative clustering of search results.
SIGIR
Dragos C. Anastasiu, Byron J. Gao, David Buttler
2011 A* conf
Enabling Fast Lazy Learning for Data Streams.
ICDM
Peng Zhang, Byron J. Gao, Xingquan Zhu, Li Guo
2011 A* conf
Enabling fast prediction for ensemble models on data streams.
KDD
Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo
2011 A* conf
Parallel learning to rank for information retrieval.
SIGIR
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
2010 A* conf
Rants: a framework for rank editing and sharing in web search.
WWW
Byron J. Gao, Joey Jan
2010 — conf
Utilizing User-input Contextual Terms for Query Disambiguation.
COLING (Posters)
Byron J. Gao, David C. Anastasiu, Xing Jiang
2009 J jnl
KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis
CoRR
Obi L. Griffith, Byron J. Gao, Mikhail Bilenky, Yuliya Prichyna, Martin Ester, Steven J. M. Jones
2009 — conf
OLAP For Multicriteria Maintenance Scheduling.
DMIN
Walter Cai, David C. Anastasiu, Mingji Xia, Byron J. Gao
2009 — conf
Optimizing complex extraction programs over evolving text data.
SIGMOD Conference
Fei Chen, Byron J. Gao, AnHai Doan, Jun Yang, Raghu Ramakrishnan
2009 J jnl
The Case for a Structured Approach to Managing Unstructured Data
CoRR
AnHai Doan, Jeffrey F. Naughton, Akanksha Baid, Xiaoyong Chai, Fei Chen, Ting Chen, Eric Chu, Pedro DeRose, Byron J. Gao, Chaitanya Gokhale, Jiansheng Huang, Warren Shen, Ba-Quy Vuong
2009 A conf
The Case for a Structured Approach to Managing Unstructured Data.
CIDR
AnHai Doan, Jeffrey F. Naughton, Akanksha Baid, Xiaoyong Chai, Fei Chen, Ting Chen, Eric Chu, Pedro DeRose, Byron J. Gao, Chaitanya Gokhale, Jiansheng Huang, Warren Shen, Ba-Quy Vuong
2009 A conf
The gardener's problem for web information monitoring.
CIKM
Byron J. Gao, Mingji Xia, Walter Cai, David C. Anastasiu
2008 A* conf
Building Community Wikipedias: A Machine-Human Partnership Approach.
ICDE
Pedro DeRose, Xiaoyong Chai, Byron J. Gao, Warren Shen, AnHai Doan, Philip Bohannon, Xiaojin Zhu
2008 J jnl
Information extraction challenges in managing unstructured data.
SIGMOD Rec.
AnHai Doan, Jeffrey F. Naughton, Raghu Ramakrishnan, Akanksha Baid, Xiaoyong Chai, Fei Chen, Ting Chen, Eric Chu, Pedro DeRose, Byron J. Gao, Chaitanya Gokhale, Jiansheng Huang, Warren Shen, Ba-Quy Vuong
2008 J jnl
Joint cluster analysis of attribute data and relationship data: The connected
ACM Trans. Knowl. Discov. Data
Rong Ge, Martin Ester, Byron J. Gao, Zengjian Hu, Binay K. Bhattacharya, Boaz Ben-Moshe
2007 A* conf
The minimum consistent subset cover problem and its applications in data mining.
KDD
Byron J. Gao, Martin Ester, Jin-Yi Cai, Oliver Schulte, Hui Xiong
2007 J jnl
User-Centric Research Challenges in Community Information Management Systems.
IEEE Data Eng. Bull.
AnHai Doan, Philip Bohannon, Raghu Ramakrishnan, Xiaoyong Chai, Pedro DeRose, Byron J. Gao, Warren Shen
2006 A conf
Cluster Description Formats, Problems and Algorithms.
SDM
Byron J. Gao, Martin Ester
2006 A* conf
Discovering significant OPSM subspace clusters in massive gene expression data.
KDD
Byron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones
2006 A conf
Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem.
SDM
Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe
2006 — conf
Right of Inference: Nearest Rectangle Learning Revisited.
ECML
Byron J. Gao, Martin Ester
2006 A* conf
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description.
ICDM
Byron J. Gao, Martin Ester