the Key Research and Development Program of Guangdong Province of China under Grant No.2019B010155003;the National Natural Science Foundation of China under Grant Nos.61672511,61702495,and 61802384;the Shenzhen Institute of Artificial Intelligence and Robotics for Society,The Chinese University of Hong Kong,Shenzhen,and the Alibaba Innovative Research Project for Large-Scale Graph Pattern Discovery,Analysis,and Query Techniques.
Recently,analyzing big data on the move is booming.It requires that the hardware resource should be low volume,low power,light in weight,high-performance,and highly scalable whereas the management software should be f...
This work was supported by the National Key Research and Development Program of China under Grant No. 2016YFB1000805 and the National Natural Science Foundation of China under Grant Nos. 61432020, 61303064, 61472430 and 61502512.
Code reviews in pull-based model are open to community users on GitHub. Various participants are taking part in the review discussions and the review topics are not only about the improvement of code contributions but...
supported by the National Basic Research 973 Program of China under Grant No.2011CB302203;the National Natural Science Foundation of China under Grant No.61120106007;the National High Technology Research and Development 863 Program of China under Grant No.2012AA011801
Extracting feature regions on mesh models is crucial for shape analysis and understanding. It can be widely used for various 3D content-based applications in graphics and geometry field. In this paper, we present a ne...
Many optimization problems that involve practical applications have functional constraints, and some of these constraints are active, meaning that they prevent any solution from improving the objective function value ...
Finding correlated sequential patterns in large sequence databases is one of the essential tasks in data mining since a huge number of sequential patterns are usually mined, but it is hard to find sequential patterns ...
Work in inductive learning has mostly been concentrated on classifying. However,there are many applications in which it is desirable to order rather than to classify instances. For modelling ordering problems, we gene...
There are several purposes of analyzing a program: functional or performance analysis, debugging or, more recently, mapping a program to a new parallel or distributed architecture. In this paper, we introduce an effec...
The reachability of a strongly connected network may be destroyed after link damage.Since many networds have directed links with the potential for reversal,the reachabilty may be restored by reversing the direction of...