Published 'Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods' at STOC 2025
Published 'Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization' at NeurIPS 2023 (Spotlight)
Published 'Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence' at COLT 2023
Published 'A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem' at AISTATS 2023
Multiple papers accepted at NeurIPS 2024, including works on minimax optimization, stochastic Newton methods, and BFGS convergence analysis (one Spotlight)
Journal publications in SIAM Journal on Optimization (2025) and Mathematical Programming (2025)
Continued publications at top-tier venues including COLT 2025, NeurIPS 2025, and AISTATS 2024