Right of Inference: Nearest Rectangle Learning Revisited. - Byron J. Gao; Martin Ester (ECML, 2006)

Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. - Byron J. Gao; Martin Ester (ICDM, 2006)

Discovering significant OPSM subspace clusters in massive gene expression data. - Byron J. Gao; Obi L. Griffith; Martin Ester; Steven J. M. Jones (KDD, 2006)

Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. - Martin Ester; Rong Ge 002; Byron J. Gao; Zengjian Hu; Boaz Ben-Moshe (SDM, 2006)

Cluster Description Formats, Problems and Algorithms. - Byron J. Gao; Martin Ester (SDM, 2006)

The minimum consistent subset cover problem and its applications in data mining. - Byron J. Gao; Martin Ester; Jin-yi Cai; Oliver Schulte; Hui Xiong 001 (KDD, 2007)

User-Centric Research Challenges in Community Information Management Systems. - AnHai Doan; Philip Bohannon; Raghu Ramakrishnan 001; Xiaoyong Chai; Pedro DeRose; Byron J. Gao; Warren Shen (IEEE Data Eng. Bull., 2007)

Building Community Wikipedias: A Machine-Human Partnership Approach. - Pedro DeRose; Xiaoyong Chai; Byron J. Gao; Warren Shen; AnHai Doan; Philip Bohannon; Xiaojin Zhu 001 (ICDE, 2008)

Information extraction challenges in managing unstructured data. - AnHai Doan; Jeffrey F. Naughton; Raghu Ramakrishnan 001; Akanksha Baid; Xiaoyong Chai; Fei Chen 002; Ting Chen; Eric Chu; Pedro DeRose; Byron J. Gao; Chaitanya Gokhale; Jiansheng Huang; et al. (SIGMOD Rec., 2008)

Joint cluster analysis of attribute data and relationship data: The connected k-center problem, algorithms and applications. - Rong Ge 002; Martin Ester; Byron J. Gao; Zengjian Hu; Binay K. Bhattacharya; Boaz Ben-Moshe (ACM Trans. Knowl. Discov. Data, 2008)

The Case for a Structured Approach to Managing Unstructured Data. - AnHai Doan; Jeffrey F. Naughton; Akanksha Baid; Xiaoyong Chai; Fei Chen 002; Ting Chen; Eric Chu; Pedro DeRose; Byron J. Gao; Chaitanya Gokhale; Jiansheng Huang; Warren Shen; et al. (CIDR, 2009)

The gardener's problem for web information monitoring. - Byron J. Gao; Mingji Xia; Walter Cai; David C. Anastasiu (CIKM, 2009)

OLAP For Multicriteria Maintenance Scheduling. - Walter Cai; David C. Anastasiu; Mingji Xia; Byron J. Gao (DMIN, 2009)

Optimizing complex extraction programs over evolving text data. - Fei Chen 002; Byron J. Gao; AnHai Doan; Jun Yang 001; Raghu Ramakrishnan 001 (SIGMOD Conference, 2009)

KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis - Obi L. Griffith; Byron J. Gao; Mikhail Bilenky; Yuliya Prichyna; Martin Ester; Steven J. M. Jones (CoRR, 2009)

Utilizing User-input Contextual Terms for Query Disambiguation. - Byron J. Gao; David C. Anastasiu; Xing Jiang (COLING (Posters), 2010)

Rants: a framework for rank editing and sharing in web search. - Byron J. Gao; Joey Jan (WWW, 2010)

CCRank: Parallel Learning to Rank with Cooperative Coevolution. - Shuaiqiang Wang; Byron J. Gao; Ke Wang 001; Hady Wirawan Lauw (AAAI, 2011)

A framework for personalized and collaborative clustering of search results. - David C. Anastasiu; Byron J. Gao; David Buttler (CIKM, 2011)

Enabling Fast Lazy Learning for Data Streams. - Peng Zhang 001; Byron J. Gao; Xingquan Zhu 001; Li Guo 001 (ICDM, 2011)

Enabling fast prediction for ensemble models on data streams. - Peng Zhang 001; Jun Li 016; Peng Wang 028; Byron J. Gao; Xingquan Zhu 001; Li Guo 001 (KDD, 2011)

ClusteringWiki: personalized and collaborative clustering of search results. - Dragos C. Anastasiu; Byron J. Gao; David Buttler (SIGIR, 2011)

Parallel learning to rank for information retrieval. - Shuaiqiang Wang; Byron J. Gao; Ke Wang 001; Hady Wirawan Lauw (SIGIR, 2011)

Cager: a framework for cross-page search. - Zhumin Chen; Byron J. Gao; Qi Kang (CIKM, 2012)

Information-complete and redundancy-free keyword search over large data graphs. - Byron J. Gao; Zhumin Chen; Qi Kang (CIKM, 2012)

Learning to rank for hybrid recommendation. - Jiankai Sun; Shuaiqiang Wang; Byron J. Gao; Jun Ma 001 (CIKM, 2012)

Polygene-based evolution: a novel framework for evolutionary algorithms. - Shuaiqiang Wang; Byron J. Gao; Shuangling Wang; Guibao Cao; Yilong Yin (CIKM, 2012)

Adapting vector space model to ranking-based collaborative filtering. - Shuaiqiang Wang; Jiankai Sun; Byron J. Gao; Jun Ma 001 (CIKM, 2012)

A Subjective Logic Framework for Multi-Document Summarization. - Sukanya Manna; Byron J. Gao; Reed Coke (COLING (Posters), 2012)

A framework for application-driven classification of data streams. - Peng Zhang 001; Byron J. Gao; Ping Liu 001; Yong Shi 001; Li Guo 001 (Neurocomputing, 2012)

On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach. - Byron J. Gao; Obi L. Griffith; Martin Ester; Hui Xiong 001; Qiang Zhao; Steven J. M. Jones (IEEE Trans. Knowl. Data Eng., 2012)

SmartMart: IoT-based In-store mapping for mobile devices. - Dylan Hicks; Kevin Mannix; Hannah M. Bowles; Byron J. Gao (CollaborateCom, 2013)

A Model for Discovering Correlations of Ubiquitous Things. - Lina Yao 001; Quan Z. Sheng; Byron J. Gao; Anne H. H. Ngu; Xue Li 001 (ICDM, 2013)

MASFA: mass-collaborative faceted search for online communities. - Seth B. Cleveland; Byron J. Gao (WWW (Companion Volume), 2013)

User-Centric Organization of Search Results. - Byron J. Gao; David Buttler; David C. Anastasiu; Shuaiqiang Wang; Peng Zhang 001; Joey Jan (IEEE Internet Comput., 2013)

The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining. - Byron J. Gao; Martin Ester; Hui Xiong 001; Jin-Yi Cai; Oliver Schulte (IEEE Trans. Knowl. Data Eng., 2013)

A novel two-box search paradigm for query disambiguation. - David C. Anastasiu; Byron J. Gao; Xing Jiang; George Karypis (World Wide Web, 2013)

Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Byron J. Gao (CIKM, 2014)

VSRank: A Novel Framework for Ranking-Based Collaborative Filtering. - Shuaiqiang Wang; Jiankai Sun; Byron J. Gao; Jun Ma 001 (ACM Trans. Intell. Syst. Technol., 2014)

Real-Time Prediction of Blood Alcohol Content Using Smartwatch Sensor Data. - Mario A. Gutierrez; Michelle L. Fast; Anne H. H. Ngu; Byron J. Gao (ICSH, 2015)

Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Byron J. Gao; Boualem Benatallah; Xue Li 001 (CoRR, 2015)

A Cooperative Coevolution Framework for Parallel Learning to Rank. - Shuaiqiang Wang; Yun Wu; Byron J. Gao; Ke Wang 001; Hady Wirawan Lauw; Jun Ma 001 (IEEE Trans. Knowl. Data Eng., 2015)

E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams. - Peng Zhang 001; Chuan Zhou 001; Peng Wang 028; Byron J. Gao; Xingquan Zhu 001; Li Guo 001 (IEEE Trans. Knowl. Data Eng., 2015)

Multi-label classification via learning a unified object-label graph with sparse representation. - Lina Yao 001; Quan Z. Sheng; Anne H. H. Ngu; Byron J. Gao; Xue Li 001; Sen Wang 001 (World Wide Web, 2016)

Iterative matrix correlation for bisection clustering. - Byron J. Gao; Robert Tung; Yong Yang (IEEE BigData, 2017)

Personalized search with editable profiles. - Binyam A. Zemede; Byron J. Gao (IEEE BigData, 2017)

LIGHT: Enabling Instant Communication for Web Surfers with Momentary Needs. - Byron J. Gao; Jose A. Lopez (IEEE BigData, 2018)

Investigating Comparative Evaluation for Large Data. - Jose Antonio Martinez Torres; Byron J. Gao (IEEE BigData, 2018)

CoRank: Simultaneously Ranking Publication Venues and Researchers. - Byron J. Gao; Gayathri Karupakula Jagadeesh Kumar (IEEE BigData, 2019)

Statistical Correction of Average Customer Ratings for Product Ranking. - Byron J. Gao; Frank Medjo (IEEE BigData, 2019)

Pattern Exploration as Keyword Search. - Byron J. Gao (IEEE BigData, 2020)

A Preliminary Experimental Analysis on RateMyProfessors. - Byron J. Gao; Alexander Katrompas (IEEE BigData, 2020)

When is Nearest Neighbor Meaningful: Sequential Data. - Aaron Hui; Byron J. Gao (CIKM, 2021)

COMPA: A Comparative Retrieval and Analytical Engine for Consumer Products. - Ramses J. Sotelo Jimenez; Bhavya Medishetty; Byron J. Gao (IEEE Big Data, 2022)

Introducing the Partial Clustering Problem. - Byron J. Gao (IEEE Big Data, 2023)

Introducing the Converse k-clustering Problem. - Byron J. Gao (IEEE Big Data, 2024)