Ruocheng Guo

Bytedance Research

Names

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

Ruocheng Guo

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.

****@asu.edu
,
****@cityu.edu.hk
,
****@gmail.com
,
****@bytedance.com

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
Bytedance Research (bytedance.com)
2022Present
 
Assistant Professor
City University of Hong Kong (cityu.edu.hk)
20212022
 
PhD student
Arizona State University (asu.edu)
20142021
 

Advisors, Relations & Conflicts

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

Coauthor
Hongning Wang
****@virginia.edu
2023Present
 
Coauthor
Xiangyu Zhao
****@cityu.edu.hk
2022Present
 
Coworker
Hang Li
****@bytedance.com
2022Present
 
Coworker
Jean-Francois Ton
****@bytedance.com
2022Present
 
Coworker
Yang Liu
****@bytedance.com
2022Present
 
Coworker
Xiaoying Zhang
****@bytedance.com
2022Present
 
Coauthor
Yanjie Fu
****@ucf.edu
2022Present
 
Coauthor
Ninghao Liu
****@uga.edu
2021Present
 
Coauthor
Xia Hu
****@cse.tamu.edu
2020Present
 
PhD Advisor
Huan Liu
****@asu.edu
2017Present
 
Coauthor
Jundong Li
****@virginia.edu
2017Present
 
Coauthor
Emre Kiciman
****@microsoft.com
20202021
 
Coauthor
Pengchuan Zhang
****@microsoft.com
20202021
 
Coauthor
Paulo Shakarian
****@asu.edu
20142021
 
Coauthor
Liangjie Hong
****@etsy.com
20192020
 

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

Off-policy Evaluation
Present
 
Off-policy Learning
Present
 
Counterfactual Example
Present
 
Conformal Prediction
2022Present
 
Counterfactual Fairness
2021Present
 
Causal Recommendation Systems
2020Present
 
Interpretability
2020Present
 
Unbiased Learning to Rank
2019Present
 
Causal Inference
20182030
 
Counterfactual Learning
20182030