Byron J. Gao

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 12

Top Topics

Efficient Indexing

Consumer Products

Learning To Rank

Sequential Data

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Byron J. Gao
Introducing the Partial Clustering Problem. BigData (2023)
Ramses J. Sotelo Jimenez, Bhavya Medishetty, Byron J. Gao
COMPA: A Comparative Retrieval and Analytical Engine for Consumer Products. Big Data (2022)
Aaron Hui, Byron J. Gao
When is Nearest Neighbor Meaningful: Sequential Data. CIKM (2021)
Byron J. Gao
Pattern Exploration as Keyword Search. IEEE BigData (2020)
Byron J. Gao, Alexander Katrompas
A Preliminary Experimental Analysis on RateMyProfessors. IEEE BigData (2020)
Byron J. Gao, Frank Medjo
Statistical Correction of Average Customer Ratings for Product Ranking. IEEE BigData (2019)
Byron J. Gao, Gayathri Karupakula Jagadeesh Kumar
CoRank: Simultaneously Ranking Publication Venues and Researchers. IEEE BigData (2019)
Byron J. Gao, Jose A. Lopez
LIGHT: Enabling Instant Communication for Web Surfers with Momentary Needs. IEEE BigData (2018)
Jose Antonio Martinez Torres, Byron J. Gao
Investigating Comparative Evaluation for Large Data. IEEE BigData (2018)
Binyam A. Zemede, Byron J. Gao
Personalized search with editable profiles. IEEE BigData (2017)
Byron J. Gao, Robert Tung, Yong Yang
Iterative matrix correlation for bisection clustering. IEEE BigData (2017)
Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Xue Li, Sen Wang
Multi-label classification via learning a unified object-label graph with sparse representation. World Wide Web 19 (6) (2016)
Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Boualem Benatallah, Xue Li
Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things. CoRR (2015)
Peng Zhang, Chuan Zhou, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams. IEEE Trans. Knowl. Data Eng. 27 (2) (2015)
Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady Wirawan Lauw, Jun Ma
A Cooperative Coevolution Framework for Parallel Learning to Rank. IEEE Trans. Knowl. Data Eng. 27 (12) (2015)
Mario A. Gutierrez, Michelle L. Fast, Anne H. H. Ngu, Byron J. Gao
Real-Time Prediction of Blood Alcohol Content Using Smartwatch Sensor Data. ICSH (2015)
Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma
VSRank: A Novel Framework for Ranking-Based Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 5 (3) (2014)
Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao
Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. CIKM (2014)
David C. Anastasiu, Byron J. Gao, Xing Jiang, George Karypis
A novel two-box search paradigm for query disambiguation. World Wide Web 16 (1) (2013)
Dylan Hicks, Kevin Mannix, Hannah M. Bowles, Byron J. Gao
SmartMart: IoT-based In-store mapping for mobile devices. CollaborateCom (2013)
Byron J. Gao, Martin Ester, Hui Xiong, Jin-Yi Cai, Oliver Schulte
The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining. IEEE Trans. Knowl. Data Eng. 25 (3) (2013)
Lina Yao, Quan Z. Sheng, Byron J. Gao, Anne H. H. Ngu, Xue Li
A Model for Discovering Correlations of Ubiquitous Things. ICDM (2013)
Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan
User-Centric Organization of Search Results. IEEE Internet Comput. 17 (3) (2013)
Seth B. Cleveland, Byron J. Gao
MASFA: mass-collaborative faceted search for online communities. WWW (Companion Volume) (2013)
Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma
Learning to rank for hybrid recommendation. CIKM (2012)
Sukanya Manna, Byron J. Gao, Reed Coke
A Subjective Logic Framework for Multi-Document Summarization. COLING (Posters) (2012)
Zhumin Chen, Byron J. Gao, Qi Kang
Cager: a framework for cross-page search. CIKM (2012)
Shuaiqiang Wang, Byron J. Gao, Shuangling Wang, Guibao Cao, Yilong Yin
Polygene-based evolution: a novel framework for evolutionary algorithms. CIKM (2012)
Peng Zhang, Byron J. Gao, Ping Liu, Yong Shi, Li Guo
A framework for application-driven classification of data streams. Neurocomputing 92 (2012)
Byron J. Gao, Obi L. Griffith, Martin Ester, Hui Xiong, Qiang Zhao, Steven J. M. Jones
On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach. IEEE Trans. Knowl. Data Eng. 24 (2) (2012)
Byron J. Gao, Zhumin Chen, Qi Kang
Information-complete and redundancy-free keyword search over large data graphs. CIKM (2012)
Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma
Adapting vector space model to ranking-based collaborative filtering. CIKM (2012)
Peng Zhang, Byron J. Gao, Xingquan Zhu, Li Guo
Enabling Fast Lazy Learning for Data Streams. ICDM (2011)
Dragos C. Anastasiu, Byron J. Gao, David Buttler
ClusteringWiki: personalized and collaborative clustering of search results. SIGIR (2011)
Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo
Enabling fast prediction for ensemble models on data streams. KDD (2011)
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
Parallel learning to rank for information retrieval. SIGIR (2011)
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
CCRank: Parallel Learning to Rank with Cooperative Coevolution. AAAI (2011)
David C. Anastasiu, Byron J. Gao, David Buttler
A framework for personalized and collaborative clustering of search results. CIKM (2011)
Byron J. Gao, Joey Jan
Rants: a framework for rank editing and sharing in web search. WWW (2010)
Byron J. Gao, David C. Anastasiu, Xing Jiang
Utilizing User-input Contextual Terms for Query Disambiguation. COLING (Posters) (2010)
Walter Cai, David C. Anastasiu, Mingji Xia, Byron J. Gao
OLAP For Multicriteria Maintenance Scheduling. DMIN (2009)
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
The Case for a Structured Approach to Managing Unstructured Data CoRR (2009)
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
The Case for a Structured Approach to Managing Unstructured Data. CIDR (2009)
Obi L. Griffith, Byron J. Gao, Mikhail Bilenky, Yuliya Prichyna, Martin Ester, Steven J. M. Jones
KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis CoRR (2009)
Byron J. Gao, Mingji Xia, Walter Cai, David C. Anastasiu
The gardener's problem for web information monitoring. CIKM (2009)
Fei Chen, Byron J. Gao, AnHai Doan, Jun Yang, Raghu Ramakrishnan
Optimizing complex extraction programs over evolving text data. SIGMOD Conference (2009)
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
Information extraction challenges in managing unstructured data. SIGMOD Rec. 37 (4) (2008)
Pedro DeRose, Xiaoyong Chai, Byron J. Gao, Warren Shen, AnHai Doan, Philip Bohannon, Xiaojin Zhu
Building Community Wikipedias: A Machine-Human Partnership Approach. ICDE (2008)
Rong Ge, Martin Ester, Byron J. Gao, Zengjian Hu, Binay K. Bhattacharya, Boaz Ben-Moshe
-center problem, algorithms and applications. ACM Trans. Knowl. Discov. Data 2 (2) (2008)
AnHai Doan, Philip Bohannon, Raghu Ramakrishnan, Xiaoyong Chai, Pedro DeRose, Byron J. Gao, Warren Shen
User-Centric Research Challenges in Community Information Management Systems. IEEE Data Eng. Bull. 30 (2) (2007)
Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Schulte, Hui Xiong
The minimum consistent subset cover problem and its applications in data mining. KDD (2007)
Byron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones
Discovering significant OPSM subspace clusters in massive gene expression data. KDD (2006)
Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe
Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. SDM (2006)
Byron J. Gao, Martin Ester
Right of Inference: Nearest Rectangle Learning Revisited. ECML (2006)
Byron J. Gao, Martin Ester
Cluster Description Formats, Problems and Algorithms. SDM (2006)
Byron J. Gao, Martin Ester
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. ICDM (2006)