Search For:

Displaying 1-25 out of 25 total
On Discovering Community Trends in Social Networks
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Jian Li, William K. Cheung, Jiming Liu, C. H. Li
Issue Date:September 2009
pp. 230-237
Real-world social networks (e.g., blogosphere) often evolve over time and thus poses challenges on conventional social network analysis techniques which model the underlying networks as static graphs. In this paper, we are interested in detecting dynamic c...
 
Automatic Generation of Artistic Chinese Calligraphy
Found in: IEEE Intelligent Systems
By Songhua Xu, Francis C.M. Lau, William K. Cheung, Yunhe Pan
Issue Date:May 2005
pp. 32-39
This intelligent system can automatically generate new Chinese calligraphy artwork to meet visually aesthetic requirements. The system first extracts the hierarchical parametric representations of Chinese characters from input images of existing calligraph...
 
Dynamic Resource Selection For Service Composition in The Grid
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By William K. Cheung, Jiming Liu, Kevin H. Tsang, Raymond K. Wong
Issue Date:September 2004
pp. 412-418
While numerous efforts have focused on service composition in the Grid environment, service selection among similar services from multiple providers has not been addressed. In particular, all service composition work done so far are based on a given select...
 
Towards Autonomous Service Composition in A Grid Environment
Found in: Web Services, IEEE International Conference on
By William K. Cheung, Jiming Liu, Kevin H. Tsang, Raymond K. Wong
Issue Date:June 2004
pp. 550
Web services are becoming important in applications from electronic commerce to application interoperation. While numerous efforts have focused on service composition, service selection among similar services from multiple providers has not been addressed....
 
Graph-Based Abstraction for Privacy Preserving Manifold Visualization
Found in: Web Intelligence and Intelligent Agent Technology, International Conference on
By Xiaofeng Zhang, William K. Cheung, C.H. Li
Issue Date:December 2006
pp. 94-97
With the next-generation Web aiming to further facilitate data/information sharing and aggregation, providing data privacy protection support in an open networked environments becomes increasingly important. Learning-fromabstraction is a recently proposed ...
 
A Driving Force for e-Transformation - The Centre for e-Transformation Research / WIC Hong Kong Centre
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Jiming Liu, William K. Cheung
Issue Date:September 2004
pp. 791-792
The Centre for e-Transformation Research (CTR), also an affiliated Centre of Web Intelligence Consortium (WIC), is established under the Science Faculty of Hong Kong Baptist University, currently funded by Hong Kong Research Grant Council Central Allocatio...
   
Stochastic Network Motif Detection in Social Media
Found in: Data Mining Workshops, International Conference on
By Kai Liu,William K. Cheung,Jiming Liu
Issue Date:December 2011
pp. 949-956
Network motifs refer to recurrent patterns of interconnections which are found to be over-represented in real networks when compared with random ones. Such basic building blocks can well characterize the structure of complex networks. Extending the buildin...
 
Online Discussion Participation Prediction Using Non-negative Matrix Factorization
Found in: Web Intelligence and Intelligent Agent Technology, International Conference on
By Yik-Hing Fung, Chun-Hung Li, William K. Cheung
Issue Date:November 2007
pp. 284-287
This paper studies the online discussion participation prediction (OFPP). Online discussion is an application on the web that provides a cyberspace for users to exchange or share different information. Finding suitable online discussions on Internet become...
 
Mining Local Data Sources For Learning Global Cluster Models
Found in: Web Intelligence, IEEE / WIC / ACM International Conference on
By Chak-Man Lam, Xiao-Feng Zhang, William K. Cheung
Issue Date:September 2004
pp. 748-751
Distributed data mining has been a topic getting more important nowadays as there are many cases where physically sharing of data is probibited, e.g., due to huge data volume or data privacy. In this paper, we are interested in learning a global cluster mo...
 
Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks
Found in: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)
By Qing Bao,William K. Cheung,Yu Zhang
Issue Date:November 2013
pp. 431-438
Diffusion is known to be an important process governing the behaviours observed in network environments like social networks, contact networks, etc. For modeling the diffusion process, the Independent Cascade Model (IC Model) is commonly adopted and algori...
 
Multirelational Topic Models
Found in: Data Mining, IEEE International Conference on
By Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu
Issue Date:December 2009
pp. 1070-1075
In this paper we propose the multirelational topic model (MRTM) for multiple types of link modeling such as citation and coauthor links in document networks. In the citation network, the MRTM models the citation link between each pair of documents as a bin...
 
A Game Theoretic Approach to Active Distributed Data Mining
Found in: Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
By Xiaofeng Zhang, William K. Cheung
Issue Date:November 2007
pp. 109-115
Learning-from-abstraction(LFA) is a recently proposed model-based distributed data mining approach which aims to the mining process both scalable and privacy preserving. However how to set the right trade-off between the abstraction levels of the local dat...
 
Integrating Value-Directed Compression and Belief Space Analysis for POMDP Decomposition
Found in: Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
By Xin Li, William K. Cheung, Jiming Liu
Issue Date:December 2006
pp. 45-51
Partially observable Markov decision process (POMDP) is a commonly adopted framework to model planning problems for agents to act in a stochastic environment. Obtaining the optimal policy of POMDP for large-scale problems is known to be intractable, where ...
 
Service-Oriented Distributed Data Mining
Found in: IEEE Internet Computing
By William K. Cheung, Xiao-Feng Zhang, Ho-Fai Wong, Jiming Liu, Zong-Wei Luo, Frank C.H. Tong
Issue Date:July 2006
pp. 44-54
Data mining research currently faces two great challenges: how to embrace data mining services with just-in-time and autonomous properties and how to mine distributed and privacy-protected data. To address these problems, the authors adopt the Business Pro...
 
Agent-Supported Web Service Composition for Supply Chain Management
Found in: E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on
By Minhong Wang, William K. Cheung, Jiming Liu, Zongwei Lou
Issue Date:June 2006
pp. 43
Web service composition requires allocating suitable resources to a set of services that constitute a composite service. The problem is complicated by the fact that the availability of resources may be uncertain and change over time, and the constraints of...
 
A Privacy-Aware Service-oriented Platform for Distributed Data Mining
Found in: E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on
By Xiaofeng Zhang, Ho-fai Wong, William K. Cheung
Issue Date:June 2006
pp. 44
Customer data privacy is known to be a factor which makes just-in-time data sharing and mining among enterprises challenging. Learning-from-abstraction is a recently proposed paradigm for privacy preserving distributed data mining where distributed local d...
 
Visualizing Global Manifold Based on Distributed Local Data Abstractions
Found in: Data Mining, IEEE International Conference on
By Xiaofeng Zhang, William K. Cheung
Issue Date:November 2005
pp. 821-824
Mining distributed data for global knowledge is getting more attention recently. The problem is especially challenging when data sharing is prohibited due to local constraints like limited bandwidth and data privacy. In this paper, we investigate how to de...
 
Sub-Ontology Evolution for Service Composition with Application to Distributed E-Learning
Found in: Tools with Artificial Intelligence, IEEE International Conference on
By Yuxin Mao, William K. Cheung, Zhaohui Wu, Jiming Liu
Issue Date:November 2005
pp. 701-702
In order to meet the on-demand requirement of service composition at a large scale, one should go beyond the use of static domain ontologies but allow different focused aspects of the ontologies to be distributed as sub-ontologies. To demonstrate the feasi...
   
Decomposing Large-Scale POMDP Via Belief State Analysis
Found in: Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
By Xin Li, William K. Cheung, Jiming Liu
Issue Date:September 2005
pp. 428-434
<p>Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing the optimal policy for a large-scale POMDP is known to be intractabl...
 
A Critiquing System to Support English Composition through the Use of Latent Semantic Analysis
Found in: e-Technology, e-Commerce, and e-Services, IEEE International Conference on
By Kelvin C. Wong, Anders I. Mørch, William K. Cheung, Mason H. Lam, Janti P. Tang
Issue Date:April 2005
pp. 576-581
Many students find essay writing stressful because they do not have sufficient ideas to fully cover the topic of the essay. They usually run out of ideas before they can complete their essays. In this paper, we investigate the use of Critiquing Systems and...
 
Learning the Kernel Matrix for XML Document Clustering
Found in: e-Technology, e-Commerce, and e-Services, IEEE International Conference on
By Jianwu Yang, William K. Cheung, Xiaoou Chen
Issue Date:April 2005
pp. 353-358
The rapid growth of XML adoption has urged for the need of a proper representation for semi-structured documents, where the document structural information has to be taken into account so as to support more precise document analysis. In this paper, an XML ...
 
A Hybrid Probabilistic Model for Unified Collaborative and Content-Based Image Tagging
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ning Zhou, William K. Cheung, Guoping Qiu, Xiangyang Xue
Issue Date:July 2011
pp. 1281-1294
The increasing availability of large quantities of user contributed images with labels has provided opportunities to develop automatic tools to tag images to facilitate image search and retrieval. In this paper, we present a novel hybrid probabilistic mode...
 
Coauthor Network Topic Models with Application to Expert Finding
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu
Issue Date:September 2010
pp. 366-373
This paper presents the coauthor network topic (CNT) model constructed based on Markov random fields (MRFs) with higher-order cliques. Regularized by the complex coauthor network structures, the CNT can simultaneously learn topic distributions as well as e...
 
International Workshop on Situation, Activity and Goal Awareness (SAGAware 2012)
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Liming Chen, Parisa Rashidi, William K. Cheung
Issue Date:September 2012
pp. 1012-1015
Ubiquitous computing aims to enable and support anywhere, anytime, context-aware applications. Sensing, interpretation and integration of events, behaviors and environmental states have been keys to the success of such ubiquitous systems. Over the past two...
     
Workshop overview for the international workshop on situation, activity and goal awareness
Found in: Proceedings of the 13th international conference on Ubiquitous computing (UbiComp '11)
By Christian Becker, Ismail Khalil, Liming Chen, Parisa Rashidi, William K. Cheung, Zhiwen Yu
Issue Date:September 2011
pp. 631-632
This report summarizes the International Workshop on Situation, Activity and Goal Awareness held at the 13th ACM International Conference on Ubiquitous Computing, on September 18 in Beijing, China.
     
 1