Shuai Tang

Quantitative Researcher, Jump Trading

Joined

November 2016

Names

Shuai Tang (Preferred)

Emails

****@ucsd.edu (Confirmed)

****@amazon.com (Confirmed)

Personal Links

Homepage

Google Scholar

Semantic Scholar

Career & Education History

Quantitative Researcher

Jump Trading (jumptrading.com)

2024 – Present

Applied Scientist

Amazon Web Services (amazon.com)

2021 – 2024

PhD student

University of California, San Diego (ucsd.edu)

2015 – 2021

Undergrad student

Zhejiang University (zju.edu.cn)

2011 – 2015

Advisors, Relations & Conflicts

PhD Advisor

Virginia R. de Sa

2017 – 2021

PhD Advisor

Zhuowen Tu

2015 – 2017

Expertise

Representation Learning

Present

Transfer Learning

Present

Differential Privacy

Present

Publications

Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable
Martin Andres Bertran, Shuai Tang, Michael Kearns, Jamie Heather Morgenstern, Aaron Roth, Steven Wu
- NeurIPS 2024 poster
- Readers: Everyone
Membership Inference Attacks on Diffusion Models via Quantile Regression
Shuai Tang, Steven Wu, Sergul Aydore, Michael Kearns, Aaron Roth
- ICML 2024 Poster
- Readers: Everyone
Improved Differentially Private Regression via Gradient Boosting
Shuai Tang, Sergul Aydore, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Steven Wu
- SaTML 2024
- Readers: Everyone
Membership Inference Attack on Diffusion Models via Quantile Regression
Steven Wu, Shuai Tang, Sergul Aydore, Michael Kearns, Aaron Roth
- RegML 2023
- Readers: Everyone
Scalable Membership Inference Attacks via Quantile Regression
Martin Andres Bertran, Shuai Tang, Aaron Roth, Michael Kearns, Jamie Heather Morgenstern, Steven Wu
- NeurIPS 2023 poster
- Readers: Everyone
Improved Differentially Private Regression via Gradient Boosting
Shuai Tang, Sergul Aydore, Michael Kearns, Saeyoung Rho, Aaron Roth, Yichen Wang, Yu-Xiang Wang, Steven Wu
- 02 Apr 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Differentially Private Gradient Boosting on Linear Learners for Tabular Data
Saeyoung Rho, Cedric Archambeau, Sergul Aydore, Beyza Ermis, Michael Kearns, Aaron Roth, Shuai Tang, Yu-Xiang Wang, Steven Wu
- Published: 21 Nov 2022, Last Modified: 05 May 2023
- TSRML2022
- Readers: Everyone
Private Synthetic Data for Multitask Learning and Marginal Queries
Giuseppe Vietri, Cedric Archambeau, Sergul Aydore, William Brown, Michael Kearns, Aaron Roth, Ankit Siva, Shuai Tang, Steven Wu
- Published: 31 Oct 2022, Last Modified: 11 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Improving Robustness in Motor Imagery Brain-Computer Interfaces
Mahta Mousavi, Eric Lybrand, Shuangquan Feng, Shuai Tang, Rayan Saab, Virginia R. de Sa
- Published: 02 Dec 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Workshop DistShift Poster
- Readers: Everyone

Shuai Tang

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors