Wei Xia

Amazon

Names

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

Wei Xia (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.

****@nus.edu.sg
,
****@gmail.com
,
****@amazon.com
,
****@nus.edu.sg

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.

Principal Applied Scientist
Amazon (amazon.com)
2019Present
 
Sr Applied Scientist
Amazon (amazon.com)
20152019
 
Chief Scientist/Founding Partner
Orbeus (orbe.us)
20142015
 
PhD student
National University of Singapore (nus.edu.sg)
20102014
 

Advisors, Relations & Conflicts

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

Coauthor
Bingbing Ni
****@adsc.com.sg
20112016
Coauthor
Jian Dong
****@360.cn
20112016
Coauthor
Jiashi Feng
****@nus.edu.sg
20112016
Coauthor
Junping Zhang
****@fudan.edu.cn
20152015
Coauthor
Yao Zhao
****@bjtu.edu.cn
20112014
Coauthor
Jiebo Luo
****@gmail.com
20112014
Coauthor
Jiashi Feng
****@berkeley.edu
20112014
Coauthor
Shuicheng Yan
****@nus.edu.sg
20112014
Coauthor
Loong-fah Cheong
****@nus.edu.sg
20112014
Coauthor
Yunchao Wei
****@gmail.com
20112014
Coauthor
Hairong Liu
****@nus.edu.sg
20112014
Coauthor
Jiashi Feng
****@nus.edu.sg
20112014
Coauthor
Jiebo Luo
****@cs.rochester.edu
20112014
Coauthor
Jiashi Feng
****@gmail.com
20112014
Coauthor
Junshi Huang
****@nus.edu.sg
20112014
PhD Advisor
Shuicheng Yan
****@nus.edu.sg
20102014
 
PhD Advisor
Loong Fah Cheong
****@nus.edu.sg
20102014
 
Coauthor
Mohan Kankanhalli
****@comp.nus.edu.sg
20132013

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

deep learning
2014Present
 
face recognition
2014Present
 
Object Recognition, classification, semantic segmentation
2010Present