Talks

Last Updated - 2025 August

Journal Papers

# = delivered by coauthor

  • Design and Analysis of Algorithms for Privacy-Aware Online Allocation under Heterogeneous Privacy Expectations
        2025-10 (scheduled), 2025 INFORMS Annual Meeting, Atlanta, USA (Session info: TE54, 4:15 PM)

  • Joint Differential Privacy for Resource Allocation: Protection Capability, Price of Privacy, Algorithm Design, and Policy Implications
        2025-10 (scheduled), 2025 INFORMS Annual Meeting, Atlanta, USA (Session info: SB09, 11 AM)
        2025-07, 2025 INFORMS International Conference, Singapore
        2025-06, 2025 INFORMS MSOM Conference, London, UK
        2025-06, The 34th European Conference on Operational Research (EURO 2025), Leeds, UK
        2025-05, Singapore Rising Scholars Conference, Singapore
        2025-01, The 15th POMS-HK International Conference (POMS-HK 2025), Hong Kong SAR, China
        2024-10, 2024 INFORMS Annual Meeting, Seattle, USA
        2024-09, Singapore Analytics and Operations Day, Singapore (#)

  • An Algorithmic Approach to Managing Supply Chain Data Security: The Differentially Private Newsvendor
        2025-07, 2025 INFORMS International Conference, Singapore
        2024-09, Research Seminar at Singapore Management University (SMU), Singapore (#)
        2024-09, Singapore Analytics and Operations Day, Singapore
        2024-07, The 33rd European Conference on Operational Research (EURO 2024), Copenhagen, Denmark
        2024-02, Research Seminar at Singapore University of Technology and Design (SUTD), Singapore (#)
        2024-01, The 14th POMS-HK International Conference (POMS-HK 2024), Hong Kong SAR, China
        2023-07, 2023 POMS International Conference in China (POMS-China 2023), Hangzhou, China
        2023-01, The 13th POMS-HK International Conference (POMS-HK 2023), Hong Kong SAR, China

Conference Papers

  • Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm
        2025-04, Poster session at ICLR 2025, Singapore

  • Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation
        2024-12, Poster session at NeurIPS 2024, Vancouver, Canada

  • Differentially Private Stochastic Convex Optimization under a Quantile Loss Function
        2023-07, Poster session at ICML 2023, Hawaii, USA