
Jia Zou | ASU Search - Arizona State University
Jia Zou is a Tenure-Track Assistant Professor in the School of Computing and Augmented Intelligence, Arizona State University - Tempe, starting in fall 2019. She is also the director of the CACTUS data-intensive systems lab founded in the summer of 2020.
Jia Zou - Google Sites
Jia Zou is a Tenure-Track Assistant Professor in the School of Computing and Augmented Intelligence, Ira A. Fulton Schools of Engineering, Arizona State University - Tempe, starting...
Zou JiaJia - AKB48 Wiki
Zou JiaJia was a member of SNH48's Team XII. 2015.07.25 - Joined SNH48 as a Trainee 2015.12.04 - Promoted to Team XII (Team XII Formation) 2017.05.19 - Graduated from SNH48's Team XII 3rd Senbatsu...
jiazou-web - Students - Google Sites
[SSDBM 2022] Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou, "Benchmark of DNN Model Search at Deployment Time." ( Published in SSDBM 2022 ). [12 pages]
Jia Zou - School of Computing and Augmented Intelligence
2020年4月1日 · Jia Zou Assistant Professor. Research interests Data-intensive distributed systems, machine learning systems, blockchain, development of dynamic applications
Jia Zou at Arizona State University | Rate My Professors
Jia Zou is a professor in the Computer Science department at Arizona State University - see what their students are saying about them or leave a rating yourself.
Jia Zou - Tempe, Arizona, United States - LinkedIn
Jia Zou is a Tenure-Track Assistant Professor in the School of Computing and Augmented… · Location: Tempe. 500+ connections on LinkedIn. View Jia Zou’s profile on LinkedIn, a professional ...
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Jia Zou - Arizona State University
Dive into the research topics where Jia Zou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Zou JiaJia - Wiki48 - Stage48
Zou JiaJia was a member of SNH48 's Team XII.
Closing the gap for real-time data-intensive intelligence
2022年5月31日 · ASU Assistant Professor Jia Zou received a 2022 National Science Foundation Faculty Early Career Development Program (CAREER) Award for her proposal to design a new database that seamlessly supports and optimizes the deployment, storage and serving of both traditional machine learning models and deep neural network models.
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