Pei-Yuan Wu

National Taiwan University

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Pei-Yuan Wu (Preferred)

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.

****@ntu.edu.tw

Education & Career History

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Assistant Professor
National Taiwan University (ntu.edu.tw)
2017Present
 
PhD student
Princeton University (princeton.edu)
20102015
 
Undergrad student
National Taiwan University (ntu.edu.tw)
20052009
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Ju-Chin Chao
****@ntu.edu.tw
20172021
 
Coauthor
B. Tseng
****@ntu.edu.tw
20172021
 
Coauthor
Hung Nguyen
****@mail.usf.edu
20172021
 
Coauthor
Di Zhuang
****@gmail.com
20172021
 
Coauthor
J. M. Chang
****@usf.edu
20122021
 
Coauthor
C. H. Lu
****@gmail.com
20102021
 
Coauthor
T. Chanyaswad
****@princeton.edu
20152020
 
Coauthor
C. C. Fang
****@iastate.edu
20122017
 
Coauthor
Mohammad Al-Rubaie
****@iastate.edu
20122017
 
Coauthor
Stephen B. Gilbert
****@iastate.edu
20122015
 
Coauthor
K. H. Ho
****@iastate.edu
20122015
 
Coauthor
N. Kelly
****@iastate.edu
20122015
 
Coauthor
Yixiao Ding
****@iastate.edu
20122015
 
Coauthor
Chris Chu
****@iastate.edu
20122015
 
Coauthor
Ahmed E. Kamal
****@iastate.edu
20122015
 
PhD Advisor
Sun Yuan Kung
****@princeton.edu
20102015
 

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

active authentication, privacy preserving machine learning
20122021
 
machine learning, deep learning, kernel methods
20102021
 
estimation theory, signal processing
20102021