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Jerry Chi-Yuan Chou, Professor


AI Research and Outline:

  • Study the parallel computing method of deep learning, reduce the training time of the model, and increase the accuracy of the training results.

  • Apply deep learning to solve problems in the field of computer system management, such as automating the search for optimal execution parameters of computational work, predicting the execution time of computational work, predicting system errors, and detecting the use of abnormal systems.

  • Implement a more automated, smarter computer management system.

  • Study technologies such as Tensorflow, OpenStack, and Kubernetes, to develop computing platforms and cloud computing services for deep learning.


AI Research Papers (Pease see https://lsalab.cs.nthu.edu.tw/home/?page=Advisor/publication):

  • Chan-Yi Lin, Hsin-Yu Pai and Jerry Chou, "A Deep Learning Application-oriented Performance Evaluation for Cloud Resource Orchestration Comparison between Bare-metal, Container and VM" in the 8th International Conference on Cloud Computing and Service Science (CLOSER), March 2018.

  • Chen-Chun Chen, Yu-Tung Hsiao, Chan-Yi Lin, Shihyu Lu, Hsin-Tse Lu and Jerry Chou, "Using Deep Learning to Predict and Optimize Hadoop Data Analytic Service in a Cloud Platform" in IEEE International Conference on Big Data Intelligence and Computing (DataCom), Nov 2017.

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