Chia-Che Chang (Preferred)
Chia-Che Chang
MediaTek
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@gmail.com
, ****@mediatek.com
Personal Links
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Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Researcher
MediaTek (mediatek.com)
2018 – Present
MS student
National Tsing Hua University (nthu.edu.tw)
2016 – 2018
Undergrad student
National Chi Nan University (ncnu.edu.tw)
2012 – 2016
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
yi-chen lo
****@mediatek.com
2020 – 2021
Coworker
chia-ping chen
****@mediatek.com
2020 – 2021
Coworker
yu-lin chang
****@mediatek.com
2020 – 2021
Coworker
hsuan-chao chiu
****@mediatek.com
2020 – 2021
Coworker
Yu-Hao Huang
****@mediatek.com
2020 – 2021
Coworker
Kevin Jou
****@mediatek.com
2020 – 2021
Coworker
Yu-Sheng Chen
****@cmlab.csie.ntu.edu.tw
2019 – 2020
Coworker
Li Su
****@iis.sinica.edu.tw
2018 – 2018
Coworker
Min-Xin Xue
****@gmail.com
2018 – 2018
Advisor
Hwann-Tzong Chen
****@cs.nthu.edu.tw
2017 – 2018
Coworker
Da-Cheng Juan
****@google.com
2017 – 2018
Coworker
Wei Wei
****@google.com
2017 – 2018
Coworker
Chieh Hubert Lin
****@gmail.com
2017 – 2018
Coworker
Wei-Chun Chen
****@gmail.com
2017 – 2018
Coworker
Chien-Yu Lu
****@gmail.com
2017 – 2018
Advisor
Che-Rung Lee
****@cs.nthu.edu.tw
2016 – 2018
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Generative Adversarial Network
2017 – 2018
Computer Vision
2015 – 2018