Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Differential Privacy with Multiple Selections. With Ashish Goel, Aleksandra Korolova, Kamesh Munagala and Sahasrajit Sarmasarkar. FORC 2025.
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood. With Moses Charikar, Kirankumar Shiragur and Aaron Sidford. NeurIPS 2022.
Online Selection Problems against Constrained Adversary. With Pinyan Lu, Zhihao Gavin Tang and Yuhao Zhang. ICML 2021.
Fair for All: Best-effort Fairness Guarantees for Classification. With Anilesh K. Krishnaswamy, Kangning Wang, Yu Cheng and Kamesh Munagala. AISTATS 2021.
Online Algorithms for Weighted Paging with Predictions. With Debmalya Panigrahi and Kevin Sun. ICALP 2020.
Approximately Stable Committee Selection. With Kamesh Munagala and Kangning Wang. STOC 2020.
Group Fairness in Commitee Selection. With Yu Cheng, Kamesh Munagala and Kangning Wang. EC 2019 / TEAC.
An FPTAS for Stochastic Unbounded Min-Knapsack Problem. With Haoyu Zhao. FAW 2019.
Background
Research interests include management science and engineering. Completed a PhD in Management Science and Engineering at Stanford University.