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Yang, Jun
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Data management in machine learning systems
Boehm M., Kumar A., Yang J., Morgan&Claypool Publishers, San Rafael, CA, 2019. 174 pp. Type: Book (978-1-681734-96-5)
Supervised machine learning (ML) systems need labeled datasets for training and testing models, and unsupervised ML systems need datasets for identifying hidden patterns. If the datasets for an application could be generated from an ex...
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Jan 10 2020
Towards update-conscious compilation for energy-efficient code dissemination in WSNs
Li W., Zhang Y., Yang J., Zheng J. ACM Transactions on Architecture and Code Optimization 6(4): 1-33, 2009. Type: Article
In this paper, Li et al. propose an update-conscious compilation (UCC) mechanism that reduces and minimizes the code size from the optimized intermediate representation (IR) stage to the binary code generation stage....
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Jan 19 2011
Input-sensitive scalable continuous join query processing
Agarwal P., Xie J., Yang J., Yu H. ACM Transactions on Database Systems 34(3): 1-41, 2009. Type: Article
This paper provides an excellent overview of continuous query processing. It successfully shows why continuous queries are an important part of today’s applications....
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Dec 14 2009
Recent progress on selected topics in database research: a report by nine young Chinese researchers working in the United States
Chen Z., Li C., Pei J., Tao Y., Wang H., Wang W., Yang J., Yang J., Zhang D. Journal of Computer Science and Technology 18(5): 538-552, 2003. Type: Article
The results of recent, loosely interrelated research by each of the nine authors are compiled in this paper. It is organized by researcher name, and there is very little overlap between the sections....
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Apr 13 2004
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