Chieh Hubert Lin (Preferred)
Chieh Hubert Lin
University of California at Merced
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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
, ****@ucmerced.edu
, ****@snap.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.
PhD student
University of California at Merced (ucmerced.edu)
2020 – Present
Research Assistent
National Tsing Hua University (nthu.edu.tw)
2018 – 2019
Intern
Microsoft (microsoft.com)
2017 – 2018
Undergrad student
National Tsing Hua University (nthu.edu.tw)
2013 – 2018
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Ming-Hsuan Yang
****@ucmerced.edu
2020 – Present
Coworker
Hsin-Ying Lee
****@snap.com
2020 – Present
Advisor
Jia-Bin Huang
****@vt.edu
2019 – Present
Advisor
Hwann-Tzong Chen
****@cs.nthu.edu.tw
2018 – Present
Coworker
Da-Cheng Juan
****@google.com
2018 – Present
Coworker
Wei Wei
****@google.com
2018 – Present
Advisor
Min Sun
****@ee.nthu.edu.tw
2018 – Present
Coworker
Chia-Che Chang
****@gmail.com
2018 – Present
Coworker
Che-Rung Lee
****@cs.nthu.edu.tw
2018 – Present
Coworker
Yu-Sheng Chen
****@cmlab.csie.ntu.edu.tw
2018 – Present
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 model
Present
generative adversarial networks
2018 – Present
neural architecture search
2018 – Present
deep learning
2018 – Present