People

I am grateful for having you in my intellectual journey!

Mentees

Jianing Zhang (2023-present)
Gwyneth Lemaster (2023 - present)
Thomas Kwok (2023 - present)
Hengzhi He (2024 - present)
Lan Tao (2024-present)
Joshua Ward (2024-present)
Din-Yin (Darren) Hsieh (2023 - present)
- Paper: Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective. [ICAIF 2023 - Workshop][Arxiv]
Krishna Dave (2023-2024)
- Master Thesis: Adversarial Privacy Auditing of Synthetically Generated Data produced by Large Language Models using the TAPAS Toolbox [UCLA]
Yinan Cheng (2022-2023)
- Paper: Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models [ICAIF 2022 - Workshop][Arxiv]
Yucong Liu (2022-2023)
- Paper: On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation, submitted [Arxiv]
Jacob Swoveland (2022-2023)
- Master Thesis: The Impact of Generative and Real Training Data on Model Vulnerability [UCLA]
Ryan O'Dell (2022-2023)
- Master Thesis: Estimating Privacy Leakage of Machine Learning Models [UCLA]
Nicklaus Kim (2022-2023)
- Master Thesis: Privacy Auditing of Tabular Synthetic Data Generators Using Membership Inference Attacks [UCLA]
Po-Yi (Justin) Liu (2020-2022)
- Paper: Non-Stationary Dynamic Pricing Via Actor-Critic Information-Directed Pricing, submitted [Arxiv]

Yuantong Li (2019 - present)
- Paper: Rate-optimal contextual online matching bandit, submitted. [Arxiv]
- Paper: Residual Bootstrap Exploration for Stochastic Linear Bandit. [UAI2022][Arixv]
- Paper: Online Forgetting Process for Linear Regression Models [AISTAT2021][Arxiv]
Dr. Namjoon Suh (2023-present)
Dr. Shirong Xu (2022-present)
Dr. Yulu Jin (2023 - present)
Dr. Zhanyu Wang (2018-2023)
- Paper: Online Regularization toward Always-Valid High-Dimensional Dynamic Pricing. [Journal of the American Statistical Association -- T&M (2023)][Arxiv]
Dr. Wenjie Li (2019-2023)
- Paper: Federated High-Dimensional Online Decision Making, [TMLR2023][Arxiv]
- Paper: Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization [TMLR2023][Arxiv]
- Paper: Always Valid Risk Monitoring for Online Matrix Completion, submitted. [Arxiv]
Shuang Wu (2020-2023)
- Paper: Residual Bootstrap Exploration for Stochastic Linear Bandit. [UAI2022][Arixv]