Byron J. Gao

Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan: User-Centric Organization of Search Results. IEEE Internet Computing 17(3): 52-59 (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): 690-703 (2013)

David C. Anastasiu, Byron J. Gao, Xing Jiang, George Karypis: A novel two-box search paradigm for query disambiguation. World Wide Web 16(1): 1-29 (2013)

Peng Zhang, Byron J. Gao, Ping Liu, Yong Shi, Li Guo: A framework for application-driven classification of data streams. Neurocomputing 92: 170-182 (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): 309-325 (2012)

Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma: Adapting vector space model to ranking-based collaborative filtering. CIKM 2012: 1487-1491

Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma: Learning to rank for hybrid recommendation. CIKM 2012: 2239-2242

Shuaiqiang Wang, Byron J. Gao, Shuangling Wang, Guibao Cao, Yilong Yin: Polygene-based evolution: a novel framework for evolutionary algorithms. CIKM 2012: 2263-2266

Byron J. Gao, Zhumin Chen, Qi Kang: Information-complete and redundancy-free keyword search over large data graphs. CIKM 2012: 2639-2642

Zhumin Chen, Byron J. Gao, Qi Kang: Cager: a framework for cross-page search. CIKM 2012: 2704-2706

Sukanya Manna, Byron J. Gao, Reed Coke: A Subjective Logic Framework for Multi-Document Summarization. COLING (Posters) 2012: 797-808

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: 573-582

Peng Zhang, Byron J. Gao, Xingquan Zhu, Li Guo: Enabling Fast Lazy Learning for Data Streams. ICDM 2011: 932-941

Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu, Li Guo: Enabling fast prediction for ensemble models on data streams. KDD 2011: 177-185

Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw: Parallel learning to rank for information retrieval. SIGIR 2011: 1083-1084

Dragos C. Anastasiu, Byron J. Gao, David Buttler: ClusteringWiki: personalized and collaborative clustering of search results. SIGIR 2011: 1263-1264

Byron J. Gao, David C. Anastasiu, Xing Jiang: Utilizing User-input Contextual Terms for Query Disambiguation. COLING (Posters) 2010: 329-337

Byron J. Gao, Joey Jan: Rants: a framework for rank editing and sharing in web search. WWW 2010: 1245-1248

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

Byron J. Gao, Mingji Xia, Walter Cai, David C. Anastasiu: The gardener's problem for web information monitoring. CIKM 2009: 1525-1528

Walter Cai, David C. Anastasiu, Mingji Xia, Byron J. Gao: OLAP For Multicriteria Maintenance Scheduling. DMIN 2009: 35-41

Fei Chen, Byron J. Gao, AnHai Doan, Jun Yang, Raghu Ramakrishnan: Optimizing complex extraction programs over evolving text data. SIGMOD Conference 2009: 321-334

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 abs/0904.1931 (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 abs/0909.1783 (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 Record 37(4): 14-20 (2008)

Rong Ge, Martin Ester, Byron J. Gao, Zengjian Hu, Binay K. Bhattacharya, Boaz Ben-Moshe: Joint cluster analysis of attribute data and relationship data: The connected k-center problem, algorithms and applications. TKDD 2(2) (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: 646-655

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): 32-40 (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: 310-319

Byron J. Gao, Martin Ester: Right of Inference: Nearest Rectangle Learning Revisited. ECML 2006: 638-645

Byron J. Gao, Martin Ester: Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. ICDM 2006: 200-211

Byron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones: Discovering significant OPSM subspace clusters in massive gene expression data. KDD 2006: 922-928

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: Cluster Description Formats, Problems and Algorithms. SDM 2006