Ruocheng Guo

Bytedance Research

Names

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Ruocheng Guo

Emails

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

Personal Links

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Education & Career History

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Researcher
Bytedance Research (bytedance.com)
2022 – Present
 
Assistant Professor
City University of Hong Kong (cityu.edu.hk)
2021 – 2022
 
PhD student
Arizona State University (asu.edu)
2014 – 2021
 

Advisors, Relations & Conflicts

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Coauthor
Hongning Wang
****@virginia.edu
2023 – Present
 
Coauthor
Xiangyu Zhao
****@cityu.edu.hk
2022 – Present
 
Coworker
Hang Li
****@bytedance.com
2022 – Present
 
Coworker
Jean-Francois Ton
****@bytedance.com
2022 – Present
 
Coworker
Yang Liu
****@bytedance.com
2022 – Present
 
Coworker
Xiaoying Zhang
****@bytedance.com
2022 – Present
 
Coauthor
Yanjie Fu
****@ucf.edu
2022 – Present
 
Coauthor
Ninghao Liu
****@uga.edu
2021 – Present
 
Coauthor
Xia Hu
****@cse.tamu.edu
2020 – Present
 
PhD Advisor
Huan Liu
****@asu.edu
2017 – Present
 
Coauthor
Jundong Li
****@virginia.edu
2017 – Present
 
Coauthor
Emre Kiciman
****@microsoft.com
2020 – 2021
 
Coauthor
Pengchuan Zhang
****@microsoft.com
2020 – 2021
 
Coauthor
Paulo Shakarian
****@asu.edu
2014 – 2021
 
Coauthor
Liangjie Hong
****@etsy.com
2019 – 2020
 

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
2022 – Present
 
Counterfactual Fairness
2021 – Present
 
Causal Recommendation Systems
2020 – Present
 
Interpretability
2020 – Present
 
Unbiased Learning to Rank
2019 – Present
 
Causal Inference
2018 – 2030
 
Counterfactual Learning
2018 – 2030