Edward Hung

Publication Activity (10 Years)

Years Active: 2000-2015
Publications (10 Years): 0

Top Venues

Knowl. Based Syst.

Neurocomputing

Int. J. Pattern Recognit. Artif. Intell.

Distributed Parallel Databases

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Takazumi Matsumoto, Edward Hung, Man Lung Yiu
Parallel outlier detection on uncertain data for GPUs. Distributed Parallel Databases 33 (3) (2015)
Lei Xu, Qinghua Hu, Edward Hung, Baowen Chen, Xu Tan, Changrui Liao
Large margin clustering on uncertain data by considering probability distribution similarity. Neurocomputing 158 (2015)
Lei Xu, Qinghua Hu, Edward Hung, Chi-Cheong Szeto
A heuristic approach to effective and efficient clustering on uncertain objects. Knowl. Based Syst. 66 (2014)
Lei Xu, Edward Hung
Improving classification accuracy on uncertain data by considering multiple subclasses. Neurocomputing 145 (2014)
Yan Li, Yunming Ye, Zhaocai Sun, Edward Hung, Joshua Zhexue Huang, Yueping Li
An ensemble of decision cluster crotches for classification of high dimensional data. Knowl. Based Syst. 43 (2013)
Lei Xu, Edward Hung
Improving Classification Accuracy on Uncertain Data by Considering Multiple Subclasses. Australasian Conference on Artificial Intelligence (2012)
Edward Hung, Lurong Xiao, Regant Y. S. Hung
An Efficient Representation Model of Distance Distribution between uncertain Objects. Comput. Intell. 28 (3) (2012)
Takazumi Matsumoto, Edward Hung
A transduction-based approach to fuzzy clustering, relevance ranking and cluster label generation on web search results. J. Intell. Inf. Syst. 38 (2) (2012)
Takazumi Matsumoto, Edward Hung
Accelerating Outlier Detection with Uncertain Data Using Graphics Processors. PAKDD (2) (2012)
Yan Li, Edward Hung, Korris Fu-Lai Chung, Joshua Zhexue Huang
Using a Variable Weighting k-Means Method to Build a Decision Cluster Classification Model. Int. J. Pattern Recognit. Artif. Intell. 26 (2) (2012)
Chi-Cheong Szeto, Edward Hung, Yu Deng
Modeling and Querying Probabilistic RDFS Data Sets with Correlated Triples. APWeb (2011)
Chi-Cheong Szeto, Edward Hung, Yu Deng
SPARQL Query Answering with RDFS Reasoning on Correlated Probabilistic Data. WAIM (2011)
Lei Xu, Edward Hung
Distance-Based Feature Selection on Classification of Uncertain Objects. Australasian Conference on Artificial Intelligence (2011)
Yan Li, Edward Hung, Korris Fu-Lai Chung
A subspace decision cluster classifier for text classification. Expert Syst. Appl. 38 (10) (2011)
Takazumi Matsumoto, Edward Hung
Fuzzy clustering and relevance ranking of web search results with differentiating cluster label generation. FUZZ-IEEE (2010)
Chi-Cheong Szeto, Edward Hung
Mining outliers with faster cutoff update and space utilization. Pattern Recognit. Lett. 31 (11) (2010)
Chi-Cheong Szeto, Edward Hung
Mining Outliers with Adaptive Cutoff Update and Space Utilization (RACAS). ECAI (2010)
Edward Hung, Lei Xu, Chi-Cheong Szeto
A Heuristic on Effective and Efficient Clustering on Uncertain Objects. Australasian Conference on Artificial Intelligence (2010)
Chi-Cheong Szeto, Edward Hung
Mining Outliers with Faster Cutoff Update and Space Utilization. PAKDD (2009)
Yan Li, Edward Hung
Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes. ACML (2009)
Wai Kit Wong, David Wai-Lok Cheung, Edward Hung, Ben Kao, Nikos Mamoulis
An Audit Environment for Outsourcing of Frequent Itemset Mining. Proc. VLDB Endow. 2 (1) (2009)
Yan Li, Edward Hung, Korris Fu-Lai Chung, Joshua Zhexue Huang
Building a Decision Cluster Classification Model for High Dimensional Data by a Variable Weighting k-Means Method. Australasian Conference on Artificial Intelligence (2008)
Wai Kit Wong, David W. Cheung, Edward Hung, Huan Liu
Protecting Privacy in Incremental Maintenance for Distributed Association Rule Mining. PAKDD (2008)
Chun Kit Chui, Ben Kao, Edward Hung
Mining Frequent Itemsets from Uncertain Data. PAKDD (2007)
Edward Hung, Lise Getoor, V. S. Subrahmanian
Probabilistic interval XML. ACM Trans. Comput. Log. 8 (4) (2007)
Lurong Xiao, Edward Hung
An Efficient Distance Calculation Method for Uncertain Objects. CIDM (2007)
Wai Kit Wong, David W. Cheung, Edward Hung, Ben Kao, Nikos Mamoulis
Security in Outsourcing of Association Rule Mining. VLDB (2007)
Octavian Udrea, Yu Deng, Edward Hung, V. S. Subrahmanian
Probabilistic Ontologies and Relational Databases. OTM Conferences (1) (2005)
Edward Hung, Yu Deng, V. S. Subrahmanian
RDF Aggregate Queries and Views. ICDE (2005)
Edward Hung, David Wai-Lok Cheung, Ben Kao
Optimization in Data Cube System Design. J. Intell. Inf. Syst. 23 (1) (2004)
Edward Hung, Yu Deng, V. S. Subrahmanian
TOSS: An Extension of TAX with Ontologies and Similarity Queries. SIGMOD Conference (2004)
Edward Hung, Lise Getoor, V. S. Subrahmanian
Probabilistic Interval XML. ICDT (2003)
Edward Hung, Lise Getoor, V. S. Subrahmanian
PXML: A Probabilistic Semistructured Data Model and Algebra. ICDE (2003)
Edward Hung, David Wai-Lok Cheung
Parallel Mining of Outliers in Large Database. Distributed Parallel Databases 12 (1) (2002)
Edward Hung, David Wai-Lok Cheung, Ben Kao, Yilong Liang
An Optimization Problem in Data Cube System Design. PAKDD (2000)

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Publication Activity (10 Years)

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Edward Hung