Answering Summation Queries for Numerical Attributes under Differential Privacy. - Yikai Wu 001; David Pujol; Ios Kotsogiannis; Ashwin Machanavajjhala (CoRR, 2019)

Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks. - Yikai Wu 001; Xingyu Zhu 003; Chenwei Wu 002; Annie N. Wang; Rong Ge 001 (CoRR, 2020)

Budget Sharing for Multi-Analyst Differential Privacy. - David Pujol; Yikai Wu 001; Brandon Fain; Ashwin Machanavajjhala (Proc. VLDB Endow., 2021)

Private Matrix Approximation and Geometry of Unitary Orbits. - Oren Mangoubi; Yikai Wu 001; Satyen Kale; Abhradeep Thakurta; Nisheeth K. Vishnoi (COLT, 2022)

Unrealized Expectations: Comparing AI Methods vs Classical Algorithms for Maximum Independent Set. - Yikai Wu 001; Haoyu Zhao; Sanjeev Arora (CoRR, 2025)

AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs? - Ori Press; Brandon Amos; Haoyu Zhao; Yikai Wu 001; Samuel K. Ainsworth; Dominik Krupke; Patrick Kidger; Touqir Sajed; Bartolomeo Stellato; Jisun Park 003; Nathanael Bosch; Eli Meril; et al. (CoRR, 2025)