Byron J. Gao

According to our database1, Byron J. Gao
  • authored at least 45 papers between 2006 and 2016.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2016
Multi-label classification via learning a unified object-label graph with sparse representation.
World Wide Web, 2016

2015
E-Tree: An Efficient Indexing Structure for Ensemble Models on Data Streams.
IEEE Trans. Knowl. Data Eng., 2015

A Cooperative Coevolution Framework for Parallel Learning to Rank.
IEEE Trans. Knowl. Data Eng., 2015

Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things.
CoRR, 2015

Real-Time Prediction of Blood Alcohol Content Using Smartwatch Sensor Data.
Proceedings of the Smart Health - International Conference, 2015

2014
VSRank: A Novel Framework for Ranking-Based Collaborative Filtering.
ACM TIST, 2014

Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
A novel two-box search paradigm for query disambiguation.
World Wide Web, 2013

The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining.
IEEE Trans. Knowl. Data Eng., 2013

User-Centric Organization of Search Results.
IEEE Internet Computing, 2013

MASFA: mass-collaborative faceted search for online communities.
Proceedings of the 22nd International World Wide Web Conference, 2013

A Model for Discovering Correlations of Ubiquitous Things.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

SmartMart: IoT-based In-store mapping for mobile devices.
Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, 2013

2012
On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach.
IEEE Trans. Knowl. Data Eng., 2012

A framework for application-driven classification of data streams.
Neurocomputing, 2012

A Subjective Logic Framework for Multi-Document Summarization.
Proceedings of the COLING 2012, 2012

Adapting vector space model to ranking-based collaborative filtering.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Polygene-based evolution: a novel framework for evolutionary algorithms.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Learning to rank for hybrid recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Information-complete and redundancy-free keyword search over large data graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Cager: a framework for cross-page search.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Parallel learning to rank for information retrieval.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

ClusteringWiki: personalized and collaborative clustering of search results.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Enabling fast prediction for ensemble models on data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Enabling Fast Lazy Learning for Data Streams.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A framework for personalized and collaborative clustering of search results.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

CCRank: Parallel Learning to Rank with Cooperative Coevolution.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Rants: a framework for rank editing and sharing in web search.
Proceedings of the 19th International Conference on World Wide Web, 2010

Utilizing User-input Contextual Terms for Query Disambiguation.
Proceedings of the COLING 2010, 2010

2009
The Case for a Structured Approach to Managing Unstructured Data
CoRR, 2009

KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis
CoRR, 2009

Optimizing complex extraction programs over evolving text data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

OLAP For Multicriteria Maintenance Scheduling.
Proceedings of The 2009 International Conference on Data Mining, 2009

The gardener's problem for web information monitoring.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

The Case for a Structured Approach to Managing Unstructured Data.
Proceedings of the CIDR 2009, 2009

2008
Joint cluster analysis of attribute data and relationship data: The connected k-center problem, algorithms and applications.
TKDD, 2008

Information extraction challenges in managing unstructured data.
SIGMOD Record, 2008

Building Community Wikipedias: A Machine-Human Partnership Approach.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
User-Centric Research Challenges in Community Information Management Systems.
IEEE Data Eng. Bull., 2007

The minimum consistent subset cover problem and its applications in data mining.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
Cluster Description Formats, Problems and Algorithms.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Discovering significant OPSM subspace clusters in massive gene expression data.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Right of Inference: Nearest Rectangle Learning Revisited.
Proceedings of the Machine Learning: ECML 2006, 2006


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