Shiqi Wang (Preferred)
Shiqi Wang
Amazon
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.
****@cs.columbia.edu
, ****@columbia.edu
, ****@amazon.com
Personal Links
Add links to your profiles on other sites. (Optional)
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
Amazon (amazon.com)
2022 – Present
PhD student
Columbia University (columbia.edu)
2017 – 2022
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
PhD Advisor
Suman Jana
****@cs.columbia.edu
2017 – 2023
Coauthor
Huan Zhang
****@huan-zhang.com
2020 – 2021
Coauthor
Kaidi Xu
****@northeastern.edu
2020 – 2021
Coauthor
Zico Kolter
****@cs.cmu.edu
2020 – 2021
Coauthor
Cho-Jui Hsieh
****@cs.ucla.edu
2020 – 2021
Coauthor
Xue Lin
****@northeastern.edu
2020 – 2021
Coworker
Kexin Pei
****@cs.columbia.edu
2018 – 2021
Coworker
Yizheng Chen
****@gmail.com
2018 – 2021
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
Adversarial Machine Learning
2017 – 2023
Verifiable Training, Model Certification
2017 – 2023
Neural Network Verification, Neural Network Certification, Provable Robustness
2017 – 2023
Adversarial Examples, Adversarial Training, Adversarial Robustness
2017 – 2023
Machine Learning, Security, AI Safety
2017 – 2023
Neural Network Pruning
2017 – 2023