Talks
Last Updated - 2025 May
Journal Papers
# indicates the talk was given by coauthors
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Privacy-Aware Online Resource Allocation with Privacy Preference Heterogeneity (tentative title)
2025-10 (scheduled), 2025 INFORMS Annual Meeting, Atlanta, USA (#) -
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
2025-07 (scheduled), 2025 INFORMS International Conference, Singapore
2025-06 (scheduled), 2025 INFORMS MSOM Conference, London, UK
2025-06 (scheduled), 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 (scheduled), 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 33th 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
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Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm
Poster session at ICLR 2025, Singapore, 2025 Apr -
Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation
Poster session at NeurIPS 2024, Vancouver, Canada, 2024 Dec -
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function
Poster session at ICML 2023, Hawaii, USA, 2023 July