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Byron J. Gao
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- affiliation: Simon Fraser University, Burnaby, Canada
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2020 – today
- 2023
- [c41]Byron J. Gao:
Introducing the Partial Clustering Problem. IEEE Big Data 2023: 6148-6151 - 2022
- [c40]Ramses J. Sotelo Jimenez, Bhavya Medishetty, Byron J. Gao:
COMPA: A Comparative Retrieval and Analytical Engine for Consumer Products. IEEE Big Data 2022: 6678-6681 - 2021
- [c39]Aaron Hui, Byron J. Gao:
When is Nearest Neighbor Meaningful: Sequential Data. CIKM 2021: 3103-3106 - 2020
- [c38]Byron J. Gao:
Pattern Exploration as Keyword Search. IEEE BigData 2020: 5676-5678 - [c37]Byron J. Gao, Alexander Katrompas:
A Preliminary Experimental Analysis on RateMyProfessors. IEEE BigData 2020: 5679-5681
2010 – 2019
- 2019
- [c36]Byron J. Gao, Frank Medjo:
Statistical Correction of Average Customer Ratings for Product Ranking. IEEE BigData 2019: 6052-6054 - [c35]Byron J. Gao, Gayathri Karupakula Jagadeesh Kumar:
CoRank: Simultaneously Ranking Publication Venues and Researchers. IEEE BigData 2019: 6055-6057 - 2018
- [c34]Byron J. Gao, Jose A. Lopez:
LIGHT: Enabling Instant Communication for Web Surfers with Momentary Needs. IEEE BigData 2018: 5322-5324 - [c33]Jose Antonio Martinez Torres, Byron J. Gao:
Investigating Comparative Evaluation for Large Data. IEEE BigData 2018: 5454-5456 - 2017
- [c32]Byron J. Gao, Robert Tung, Yong Yang:
Iterative matrix correlation for bisection clustering. IEEE BigData 2017: 80-87 - [c31]Binyam A. Zemede, Byron J. Gao:
Personalized search with editable profiles. IEEE BigData 2017: 4872-4874 - 2016
- [j12]Lina Yao, Quan Z. Sheng
, Anne H. H. Ngu, Byron J. Gao, Xue Li
Multi-label classification via learning a unified object-label graph with sparse representation. World Wide Web 19(6): 1125-1149 (2016) - 2015
- [j11]Peng Zhang, Chuan Zhou, Peng Wang, Byron J. Gao, Xingquan Zhu
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams. IEEE Trans. Knowl. Data Eng. 27(2): 461-474 (2015) - [j10]Shuaiqiang Wang
A Cooperative Coevolution Framework for Parallel Learning to Rank. IEEE Trans. Knowl. Data Eng. 27(12): 3152-3165 (2015) - [c30]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: 175-186 - [i3]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 abs/1512.08493 (2015) - 2014
- [j9]Shuaiqiang Wang
VSRank: A Novel Framework for Ranking-Based Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 5(3): 51:1-51:24 (2014) - [c29]Lina Yao, Quan Z. Sheng
Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. CIKM 2014: 2027-2029 - 2013
- [j8]Byron J. Gao, David Buttler
User-Centric Organization of Search Results. IEEE Internet Comput. 17(3): 52-59 (2013) - [j7]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) - [j6]David C. Anastasiu
A novel two-box search paradigm for query disambiguation. World Wide Web 16(1): 1-29 (2013) - [c28]Dylan Hicks, Kevin Mannix, Hannah M. Bowles, Byron J. Gao:
SmartMart: IoT-based In-store mapping for mobile devices. CollaborateCom 2013: 616-621 - [c27]Lina Yao, Quan Z. Sheng
A Model for Discovering Correlations of Ubiquitous Things. ICDM 2013: 1253-1258 - [c26]Seth B. Cleveland, Byron J. Gao:
MASFA: mass-collaborative faceted search for online communities. WWW (Companion Volume) 2013: 293-296 - 2012
- [j5]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) - [j4]Byron J. Gao, Obi L. Griffith
On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach. IEEE Trans. Knowl. Data Eng. 24(2): 309-325 (2012) - [c25]Shuaiqiang Wang
Adapting vector space model to ranking-based collaborative filtering. CIKM 2012: 1487-1491 - [c24]Jiankai Sun, Shuaiqiang Wang
Learning to rank for hybrid recommendation. CIKM 2012: 2239-2242 - [c23]Shuaiqiang Wang
Polygene-based evolution: a novel framework for evolutionary algorithms. CIKM 2012: 2263-2266 - [c22]Byron J. Gao, Zhumin Chen, Qi Kang:
Information-complete and redundancy-free keyword search over large data graphs. CIKM 2012: 2639-2642 - [c21]Zhumin Chen, Byron J. Gao, Qi Kang:
Cager: a framework for cross-page search. CIKM 2012: 2704-2706 - [c20]Sukanya Manna, Byron J. Gao, Reed Coke:
A Subjective Logic Framework for Multi-Document Summarization. COLING (Posters) 2012: 797-808 - 2011
- [c19]Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw:
CCRank: Parallel Learning to Rank with Cooperative Coevolution. AAAI 2011: 1249-1254 - [c18]David C. Anastasiu
A framework for personalized and collaborative clustering of search results. CIKM 2011: 573-582 - [c17]Peng Zhang, Byron J. Gao, Xingquan Zhu
Enabling Fast Lazy Learning for Data Streams. ICDM 2011: 932-941 - [c16]Peng Zhang, Jun Li, Peng Wang, Byron J. Gao, Xingquan Zhu
Enabling fast prediction for ensemble models on data streams. KDD 2011: 177-185 - [c15]Shuaiqiang Wang
Parallel learning to rank for information retrieval. SIGIR 2011: 1083-1084 - [c14]Dragos C. Anastasiu
ClusteringWiki: personalized and collaborative clustering of search results. SIGIR 2011: 1263-1264 - 2010
- [c13]Byron J. Gao, David C. Anastasiu, Xing Jiang:
Utilizing User-input Contextual Terms for Query Disambiguation. COLING (Posters) 2010: 329-337 - [c12]Byron J. Gao, Joey Jan:
Rants: a framework for rank editing and sharing in web search. WWW 2010: 1245-1248
2000 – 2009
- 2009
- [c11]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 - [c10]Byron J. Gao, Mingji Xia, Walter Cai, David C. Anastasiu
The gardener's problem for web information monitoring. CIKM 2009: 1525-1528 - [c9]Walter Cai, David C. Anastasiu, Mingji Xia, Byron J. Gao:
OLAP For Multicriteria Maintenance Scheduling. DMIN 2009: 35-41 - [c8]Fei Chen, Byron J. Gao, AnHai Doan, Jun Yang, Raghu Ramakrishnan:
Optimizing complex extraction programs over evolving text data. SIGMOD Conference 2009: 321-334 - [i2]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) - [i1]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) - 2008
- [j3]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): 14-20 (2008) - [j2]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. ACM Trans. Knowl. Discov. Data 2(2): 7:1-7:35 (2008) - [c7]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 - 2007
- [j1]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) - [c6]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 - 2006
- [c5]Byron J. Gao, Martin Ester:
Right of Inference: Nearest Rectangle Learning Revisited. ECML 2006: 638-645 - [c4]Byron J. Gao, Martin Ester:
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. ICDM 2006: 200-211 - [c3]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 - [c2]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: 246-257 - [c1]Byron J. Gao, Martin Ester:
Cluster Description Formats, Problems and Algorithms. SDM 2006: 464-468
Coauthor Index
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