Presenting in the INFORMS 2026 Job Market Showcase
Presenting Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates in the Stochastic and Decentralized Optimization Job Market Showcase.
Presenting Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates in the Stochastic and Decentralized Optimization Job Market Showcase.
Co-organizing Recent Progress in Stochastic Optimization for Reinforcement Learning with Yan Li at the 2026 INFORMS Annual Meeting.
Co-organizing New Advances in Stochastic Optimization, Theories and Methodologies with Hongcheng Liu at the 2026 INFORMS Annual Meeting.
Attended ColOpt 2026 at Lehigh University, including a funding-agencies session for early-career researchers.
Gave a talk on Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates at MOPTA 2026, Lehigh University.
Co-organized and co-chaired two sessions on stochastic optimization and variational inequalities with Tianjiao Li at MOPTA 2026.
Presented a poster on Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates at SoCal OR/OM Day, USC Marshall.
Presenting our poster on Transformer-Based Patient Response Modeling for Cardiac Surgery-Associated AKI at SCA 2026.
Chairing a session on Accelerated Methods and Sharp Analysis for Nonlinear Optimization at IOS 2026.
Presenting a talk on High-Order Accumulative Regularization for Gradient Minimization at INFORMS 2025.