1. Frank E. Curtis, Xin Jiang, and Qi Wang. “A Single-Loop Stochastic Feasible Interior-Point Algorithm for Nonlinear Inequality-Constrained Optimization.” Mathematical Programming, 2026. https://doi.org/10.1007/s10107-025-02320-2  

2. Frank E. Curtis, Vyacheslav Kungurtsev, Daniel P. Robinson, and Qi Wang. “A Stochastic-Gradient-based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems.” SIAM Journal on Optimization 35(2): 1030–1059, 2025. https://doi.org/10.1137/23M1569460

3. Frank E. Curtis, Xin Jiang, and Qi Wang. “Almost-Sure Convergence of Iterates and Multipliers in Stochastic Sequential Quadratic Optimization.” Journal of Optimization Theory and Applications 204(2): 28, 2025. https://doi.org/10.1007/s10957-024-02568-2

4. Frank E. Curtis and Qi Wang. “Worst-Case Complexity of TRACE with Inexact Subproblem Solutions for Nonconvex Smooth Optimization.” SIAM Journal on Optimization 33(3): 2191–2221, 2023. https://doi.org/10.1137/22M1492428

1. Qi Wang, Uday V. Shanbhag, and Yue Xie. “A Problem-Parameter-Free Stochastic Linesearch-Enabled Accelerated Method for Smooth Stochastic Convex Optimization.” To appear in the 65th IEEE Conference on Decision and Control, 2026.

Qi Wang. “Inexact and Stochastic Large-Scale Nonlinear Optimization.” Ph.D. dissertation, Lehigh University, 2025.

1. Qi Wang, Christian Piermarini, Yunlang Zhu, and Frank E. Curtis. “Projected Stochastic Momentum Methods for Nonlinear Equality-Constrained Optimization for Machine Learning.” Under review at Mathematics of Operations Research, 2026. https://arxiv.org/abs/2601.11795 [code]

2. Qi Wang, Uday V. Shanbhag, and Yue Xie. “A Parameter-Free Stochastic LineseArch Method (SLAM) for Minimizing Expectation Residuals.” Under second-round review at Mathematics of Operations Research, 2025. https://arxiv.org/abs/2512.14979

1. Qi Wang, Uday V. Shanbhag, and Yue Xie. “A Stochastic Linesearch-Enabled Accelerated Method (aSLAM) for Nonsmooth Stochastic Convex Optimization.” Working paper, 2026; in preparation for submission to SIAM Journal on Optimization.

2. Albert S. Berahas, Wanping Dong, Michael J. O’Neill, and Qi Wang. “A Filter Method with Deterministic Bounded Noise.” Working paper.