Faculty Profiles

Gao, B. J. (2024). Introducing the Converse k-clustering problem. In IEEE International Conference on Big Data.

Gao, B. J. (2023). Introducing the partial clustering problem. In IEEE International Conference on Big Data.

Sotelo Jimenez, R. J., Medishetty, B., & Gao, B. J. (2022). COMPA: A Comparative Retrieval and Analytical Engine for Consumer Products. In IEEE International Conference on Big Data.

Hui, A., & Gao, J. (2021). When is Nearest Neighbor Meaningful: Sequential Data. In ACM International Conference on Information and Knowledge Management (CIKM).

Gao, B. J. (2020). Pattern Exploration as Keyword Search. In IEEE International Conference on Big Data.

Gao, B. J., & Katrompas, A. (2020). A Preliminary Experimental Analysis on RateMyProfessors. In IEEE International Conference on Big Data.

Gao, B. J., & Medjo, F. (2019). Statistical Correction of Average Customer Ratings for Product Ranking. In IEEE International Conference on Big Data.

Gao, B. J., & Kumar, G. K. J. (2019). CoRank: Simultaneously Ranking Publication Venues and Researchers. In IEEE International Conference on Big Data.

Gao, B. J., & Lopez, J. A. (2018). LIGHT: Enabling Instant Communication for Web Surfers with Momentary Needs. In IEEE International Conference on Big Data.

Martinez Torres, J. A., & Gao, B. J. (2018). Investigating Comparative Evaluation for Large Data. In IEEE International Conference on Big Data.

Gao, B. J., Tung, R., & Yang, Y. (2017). Iterative Matrix Correlation for Bisection Clustering. In IEEE International Conference on Big Data.

Zemede, B., & Gao, B. J. (2017). Personalized Search with Editable Profiles. In IEEE International Conference on Big Data.

Gao, J., Tung, R., & Yang, Y. (2017). Iterative Matrix Correlation for Bisection Clustering. Retrieved from https://ieeexplore.ieee.org/document/8257914

Yao, L., Sheng, Q. Z., Ngu, A. H. H., Gao, B. J., Li, X., & Wang, S. (2016). Multi-label classification via learning a unified object-label graph with sparse representation. World Wide Web Journal (WWW), 19(6), 1125–1149.

Shuaiqiang, W., Wu, Y., Gao, B. J., Wang, K., Lauw, H. W., & Ma, J. (2015). A Cooperative Coevolution Framework for Parallel Learning to Rank. IEEE Transactions on Knowledge and Data Engineering (TKDE).

Zhang, P., Zhou, C., Wang, P., Gao, B. J., Zhu, X., & Guo, L. (2015). E-Tree: an Efficient Indexing Structure for Ensemble Models on Data Streams. IEEE Transactions on Knowledge and Data Engineering (TKDE).

Gutierrez, M., Fast, M., Ngu, A. H. H., & Gao, B. J. (2015). Real-Time Prediction of Blood Alcohol Content Using Smartwatch Sensor Data. In International Conference for Smart Health (ICSH).

Wang, S., Sun, J., Gao, B. J., & Ma, J. (2014). VSRank: A Novel Framework for Ranking-based Collaborative Filtering. ACM Transactions on Intelligent Systems and Technology (TIST).

Yao, L., Sheng, Q. Z., Ngu, A. H. H., & Gao, B. J. (2014). Keeping You in the Loop: Web-based Things Management in the Internet of Things. In ACM International Conference on Information and Knowledge Management (CIKM).

Manna, S., & Gao, B. J. (2014). A Query-Focused Single Document Summarization using Graph-Based Approach and Subjective Logic. First IKDD Conferences on Data Sciences.

Gao, B. J., Ester, M., Xiong, H., Cai, J., & Schulte, O. (2013). The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining. IEEE Transactions on Knowledge and Data Engineering (TKDE).

Gao, B. J., Butler, D., Anastasiu, D. C., Wang, S., Zhang, P., & Jan, J. (2013). User-centric Organization of Search Results. IEEE Internet Computing (IC).

Anastasiu, D. C., Gao, B. J., Jiang, X., & Karypis, G. (2013). A Novel Two-Box Search Paradigm for Query Disambiguation. World Wide Web Journal (WWW).

Yao, L., Sheng, Q. Z., Gao, B. J., Ngu, A. H. H., & Li, X. (2013). A Model for Discovering Correlations of Ubiquitous Things. IEEE International Conference on Data Mining (ICDM).

Hicks, D., Mannix, K., Bowles, H., & Gao, B. J. (2013). SmartMart: IoT-based In-store Mapping for Mobile Devices.

Cleveland, S. B., & Gao, B. J. (2013). MASFA: Mass-collaborative Faceted Search for Online Communities. International World Wide Web Conference (WWW demo).

Fares, R., & Gao, B. J. (2013). Recursive Longest Common Subsequence: A Novel Similarity Measure for Sequences. RECOMB Poster.

Zhang, P., Gao, B. J., Liu, P., Shi, Y., & Guo, L. (2012). A Framework for Application-Driven Classification of Data Streams. Neurocomputing.

Gao, B. J., Griffith, O. L., Ester, M., Xiong, H., Zhao, Q., & Jones, S. J. M. (2012). On the Deep Order-preserving Submatrix Problem: A Best-Effort Approach. IEEE Transactions on Knowledge and Data Engineering (TKDE).

Manna, S., Gao, B. J., & Coke, R. (2012). A Subjective Logic Framework for Multi-Document Summarization. International Conference on Computational Linguistics (COLING).

Wang, S., Sun, J., Gao, J., & Ma, J. (2012). Adapting Vector Space Model to Ranking-based Collaborative Filtering. ACM International Conference on Information and Knowledge Management (CIKM).

Gao, B. J., Chen, Z., & Kang, Q. (2012). Information-complete and Redundancy-free Keyword Search Over Large Data Graphs. ACM International Conference on Information and Knowledge Management (CIKM).

Sun, J., Wang, S., Gao, B. J., & Ma, J. (2012). Cager: A Framework for Cross-page Search. ACM International Conference on Information and Knowledge Management (CIKM).

Wang, S., Gao, B. J., Wang, S., Cao, G., & Yin, Y. (2012). Polygene-based Evolution: A Novel Framework for Evolutionary Algorithms. ACM International Conference on Information and Knowledge Management (CIKM).

Gao, B. J., Griffith, O. L., Ester, M., Xiong, H., Zhao, Q., & Jones, S. J. M. (2012). On the Deep Order-preserving Submatrix Problem: A Best-effort Approach. IEEE Transactions on Knowledge and Data Engineering, 24(2), 309–325. Retrieved from https://www.computer.org/web/tkde

Zhang, P., Gao, B. J., Zhu, X., & Guo, L. (2011). Enabling Fast Lazy Learning for Data Streams. IEEE International Conference on Data Mining (ICDM).

Anastasiu, D., Gao, J., & Buttler, D. (2011). A Framework for Personalized and Collaborative Clustering of Search Results. ACM Conference on Information and Knowledge Management (CIKM).

Zhang, P., Li, J., Wang, P., Gao, B. J., Zhu, X., & Guo, L. (2011). Enabling Fast Prediction for Ensemble Models on Data Streams. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).

Wang, S., Gao, J., Wang, K., & Lauw, H. W. (2011). CCRank: Parallel Learning to Rank with Cooperative Coevolution. National Conference on Artificial Intelligence (AAAI).

Anastasiu, D. C., Gao, B. J., & Buttler, D. (2011). ClusteringWiki: Personalized and Collaborative Clustering of Search Results. In ACM  International Conference on Research and Development in Information Retrieval (SIGIR demo).

Wang, S., Gao, B. J., Wang, K., & Lauw, H. (2011). Parallel Learning to Rank for Information Retrieval. ACM  International Conference on Research and Development in Information Retrieval (SIGIR poster).

Anastasiu, D. C., Gao, B. J., & Jiang, X. (2010). Utilizing User-input Contextual Terms for Query Disambiguation. The 23rd International Conference on Computational Linguistics (COLING).

Gao, B. J., & Jan, J. (2010). Rants: A Framework for Rank Editing and Sharing in Web Search. International World Wide Web Conference (WWW demo).

Gao, B. J., Xia, M., Cai, W., & Anastasiu, D. C. (2009). The Gardener’s Problem for Web Information Monitoring. ACM Conference on Information and Knowledge Management (CIKM).

Chen, F., Gao, B. J., Doan, A., Ramakrishnan, R., & Yang, J. (2009). Optimizing Complex Extraction Programs over Evolving Text Data. ACM SIGMOD Conference (SIGMOD).

Cai, W., Anastasiu, D. C., Xia, M., & Gao, B. J. (2009). OLAP for Multicriteria Maintenance Scheduling. The International Conference on Data Mining (DMIN).

Griffith, O. L., Gao, B. J., Bilenky, M., Yuliya Prichyna, Ester, M., & Jones, S. J. M. (2009). KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis. International Conference on Bioinformatics and Biomedical Engineering (iCBBE).

Doan, A., Naughton, J. F., Baid, A., Chai, X., Chen, F., Chen, T., … Vuong, B.-Q. (2009). The Case for a Structured Approach to Managing Unstructured Data. Conference on Innovative Data Systems Research (CIDR).

Doan, A., Naughton, J., Ramakrishnan, R., Baid, A., Chai, X., Chen, F., … Vuong, B.-Q. (2008). Information Extraction Challenges in Managing Unstructured Data. ACM SIGMOD Record, Special Issue on Managing Information Extraction.

Ge, R., Ester, M., Gao, B. J., Hu, Z., Ben-Moshe, B., & Bhattacharya, B. (2008). Joint Cluster Analysis of Attribute Data and Relationship Data: Problems, Algorithms and Applications. ACM Transactions on Knowledge Discovery from Data (TKDD).

Derose, P., Chai, X., Gao, B. J., Shen, W., Doan, A., Bohannon, P., & Zhu, J. (2008). Building Community Wikipedias: A Machine-Human Partnership Approach. IEEE International Conference on Data Engineering (ICDE).

Ester, M., Ge, R., Gao, B. J., Hu, Z., & Ben-Moshe, B. (2008). Joint Cluster Analysis of Attribute Data and Relationship Data. In Constrained Clustering: Advances in Algorithms, Theory, and Applications. Chapman & Hall / CRC Press.

Doan, A., Bohannon, P., Ramakrishnan, R., Chai, X., DeRose, P., Gao, B. J., & Shen, W. (2007). User-Centric Research Challenges in Community Information Management Systems. IEEE Data Engineering Bulletin.

Gao, B. J., Ester, M., Cai, J., Schulte, O., & Xiong, H. (2007). The Minimum Consistent Subset Cover Problem and its Applications in Data Mining. In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).

Gao, B. J., & Ester, M. (2006). Turning Clusters into Patterns: Rectangle-based Discriminative Data Description. IEEE International Conference on Data Mining (ICDM).

Gao, B. J., Griffith, O. L., Ester, M., & Jones, S. J. M. (2006). Discovering Significant OPSM Subspace Clusters in Massive Gene Expression Data. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).

Gao, B. J., & Ester, M. (2006). Right of Inference: Nearest Rectangle Learning Revisited. European Conference on Machine Learning (ECML).

Ester, M., Ge, R., Gao, B. J., Hu, Z., & Ben-Moshe, B. (2006). Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. SIAM International Conference on Data Mining (SDM).

Gao, B. J., & Ester, M. (2006). Summarizing Data Clusters: Description Formats, Problems and Algorithms. SIAM International Conference on Data Mining (SDM).