Ruibo Tu

KTH Royal Institute of Technology, Stockholm, Sweden

Names

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Ruibo Tu (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.

****@kth.se

Education & Career History

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PhD student
KTH Royal Institute of Technology, Stockholm, Sweden (kth.se)
20182023
 
MS student
KTH Royal Institute of Technology, Stockholm, Sweden (kth.se)
20162018
 
Undergrad student
Dalian University of Technology (dlut.edu.cn)
20122016
 

Advisors, Relations & Conflicts

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

PhD Advisor
Cheng Zhang
****@microsoft.com
20182023
 
PhD Advisor
Kun Zhang
****@cmu.edu
20182023
 
PhD Advisor
Hedvig Kjellström
****@kth.se
20182023
 
Coauthor
Yingzhen Li
****@imperial.ac.uk
20212022
 
Coworker
Lenon Minorics
****@amazon.de
20212022
 
Coworker
Dominik Janzing
****@amazon.de
20212022
 
Coworker
Elke Kirschbaum
****@amazon.de
20212022
 
Coauthor
Xueru Zhang
****@umich.edu
20202020
 
Coauthor
Yang Liu
****@ucsc.edu
20202020
 
Coauthor
Mingyan Liu
****@umich.edu
20202020
 
Coauthor
Bo Christer Bertilson
****@ki.se
20192020
 
Coauthor
Clark Glymour
****@andrew.cmu.edu
20182020
 
Coauthor
Karthika Mohan
****@berkeley.edu
20182019
 
Coauthor
Paul Ackermann
****@ki.se
20182019
 
Coauthor
Charles Hamesse
****@mil.be
20182019
 
Coauthor
Wang Hongkai
****@dlut.edu.cn
20152016
 

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

Optimal transport
2020Present
 
Missing data
2018Present
 
causal discovery
2018Present