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Displaying 1-15 out of 15 total
User-Centric Organization of Search Results
Found in: IEEE Internet Computing
By Byron J. Gao,David Buttler,David C. Anastasiu,Shuaiqiang Wang,Peng Zhang,Joey Jan
Issue Date:May 2013
pp. 52-59
The authors investigated the use of microblogs—or weibos—and related censorship practices using 111 million microblogs collected between 1 January and 30 June 2012. Using a matched case-control study design helped researchers determin...
 
A Complex Interface Modeling Approach Based on Design Pattern
Found in: Communication Software and Networks, International Conference on
By Teng Gao, Qingzhong Li, Shuaiqiang Wang
Issue Date:February 2009
pp. 191-195
User interface modeling methods based on design pattern and code generation methods are hot points in software engineering research field in recent years. However, there is no unified standard description until now. As a result, it leads to the great insuf...
 
PostB: The Post-condition Extension onto the B-Method
Found in: Software Engineering Research, Management and Applications, ACIS International Conference on
By Shuaiqiang Wang, Ying Li, Guodong Huang
Issue Date:August 2007
pp. 195-202
In the traditional B-Method, operations are designed only by pre-conditions and a series of substitutions, and it works well. However, with the appearance and development of the modeling by the integration of semi-formal methods (especially UML) and formal...
 
OR-ATP: An Operation Refinement Approach As a Process of Automatic Theorem Proving
Found in: Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
By Shuaiqiang Wang, Jiancheng Wan, Jinkui Hou
Issue Date:August 2007
pp. 1078-1083
Since it is too difficult to develop a feasible tool to execute the stepwise refinement automatically, the applications of formal methods have mainly been limited to safety critical domains. With the development of the theory and practice of modeling by th...
 
Formalization of Architecture-Centric Model Mapping Using Category Theory
Found in: Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
By Jinkui Hou, Jiancheng Wan, Shuaiqiang Wang
Issue Date:August 2007
pp. 670-675
Model transformation is touted to play a key role in model-driven development. The mapping relations between models are the foundation and basis for the transformation. On the basis of software architecture, this paper tries to provide a precise semantics ...
 
Describing, Verifying and Developing Web Service Using the B-method
Found in: Next Generation Web Services Practices, International Conference on
By Shuaiqiang Wang, Jiancheng Wan, Xiao Yang
Issue Date:September 2006
pp. 11-16
It is necessary to guarantee the validity of Web services and their composition. Traditional approaches transform the BPEL4WS specification into other formal models and then check them. Unfortunately, if we could not find the proper composition of services...
 
Polygene-based evolution: a novel framework for evolutionary algorithms
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Byron J. Gao, Guibao Cao, Shuaiqiang Wang, Shuangling Wang, Yilong Yin
Issue Date:October 2012
pp. 2263-2266
In this paper, we introduce polygene-based evolution, a novel framework for evolutionary algorithms (EAs) that features distinctive operations in the evolution process. In traditional EAs, the primitive evolution unit is gene, where genes are independent c...
     
Parallel learning to rank for information retrieval
Found in: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information (SIGIR '11)
By Byron J. Gao, Hady W. Lauw, Ke Wang, Shuaiqiang Wang
Issue Date:July 2011
pp. 1083-1084
Learning to rank represents a category of effective ranking methods for information retrieval. While the primary concern of existing research has been accuracy, learning efficiency is becoming an important issue due to the unprecedented availability of lar...
     
Semantically coherent image annotation with a learning-based keyword propagation strategy
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Chaoran Cui, Jun Ma, Shuai Gao, Shuaiqiang Wang, Tao Lian
Issue Date:October 2012
pp. 2423-2426
Automatic image annotation plays an important role in modern keyword-based image retrieval systems. Recently, many neighbor-based methods have been proposed and achieved good performance for image annotation. However, existing work mainly focused on explor...
     
Importance weighted passive learning
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Shuaiqiang Wang, Xiaoming Xi, Yilong Yin
Issue Date:October 2012
pp. 2243-2246
Importance weighted active learning (IWAL) introduces a weighting scheme to measure the importance of each instance for correcting the sampling bias of the probability distributions between training and test datasets. However, the weighting scheme of IWAL ...
     
Learning to rank for hybrid recommendation
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Byron J. Gao, Jiankai Sun, Jun Ma, Shuaiqiang Wang
Issue Date:October 2012
pp. 2239-2242
Most existing recommender systems can be classified into two categories: collaborative filtering and content-based filtering. Hybrid recommender systems combine the advantages of the two for improved recommendation performance. Traditional recommender syst...
     
Adapting vector space model to ranking-based collaborative filtering
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Byron J. Gao, Jiankai Sun, Jun Ma, Shuaiqiang Wang
Issue Date:October 2012
pp. 1487-1491
Collaborative filtering (CF) is an effective technique addressing the information overload problem. Recently ranking-based CF methods have shown advantages in recommendation accuracy, being able to capture the preference similarity between users even if th...
     
Summarizing web forum threads based on a latent topic propagation process
Found in: Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11)
By Jun Ma, Shuaiqiang Wang, Yang Liu, Zhaochun Ren
Issue Date:October 2011
pp. 879-884
With an increasingly amount of information in web forums, quick comprehension of threads in web forums has become a challenging research problem. To handle this issue, this paper investigates the task of Web Forum Thread Summarization (WFTS), aiming to giv...
     
Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm
Found in: Proceedings of the 19th ACM international conference on Information and knowledge management (CIKM '10)
By Jun Ma, Qiang He, Shuaiqiang Wang
Issue Date:October 2010
pp. 1449-1452
One fundamental issue of learning to rank is the choice of loss function to be optimized. Although the evaluation measures used in Information Retrieval (IR) are ideal ones, in many cases they can't be used directly because they do not satisfy the smooth p...
     
Learning to rank using evolutionary computation: immune programming or genetic programming?
Found in: Proceeding of the 18th ACM conference on Information and knowledge management (CIKM '09)
By Jiming Liu, Jun Ma, Shuaiqiang Wang
Issue Date:November 2009
pp. 1879-1882
Nowadays ranking function discovery approaches using Evolutionary Computation (EC), especially Genetic Programming (GP), have become an important branch in the Learning to Rank for Information Retrieval (LR4IR) field. Inspired by the GP based learning to r...
     
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