Zheng Shi (Preferred)
Zheng Shi
International Business Machines
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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.
****@lehigh.edu
, ****@gmail.com
, ****@us.ibm.com
Personal Links
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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.
Data Scientist
International Business Machines (ibm.com)
2013 – Present
PhD Candidate
Lehigh University (lehigh.edu)
2016 – 2022
MS student
Lehigh University (lehigh.edu)
2010 – 2012
Undergrad student
Nankai University (nankai.edu.cn)
2007 – 2009
Undergrad student
Tianjin University (tju.edu.cn)
2005 – 2009
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Nicolas Loizou
****@mila.quebec
2020 – Present
Coauthor
Majid Jahani
****@lehigh.edu
2020 – Present
Coauthor
Sergey Rusakov
****@lehigh.edu
2020 – Present
Coauthor
Michael Mahoney
****@stat.berkeley.edu
2020 – Present
Coauthor
Peter Richtarik
****@gmail.com
2020 – Present
PhD Advisor
Martin Takac
****@gmail.com
2019 – Present
Coauthor
Srinivas Rangarajan
****@lehigh.edu
2019 – Present
Social
Lam M. Nguyen
****@ibm.com
2016 – Present
Coauthor
Albert Berahas
****@gmail.com
2019 – 2020
Coauthor
Shamim Pakzad
****@lehigh.edu
2019 – 2020
Coauthor
Sila Nur Gulgec
****@gmail.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
Optimization algorithm for machine learning
2019 – Present
Application of Deep Learning and Reinforcement Learning
2019 – Present
Operations Research
2016 – 2019