Newton-CG methods for nonconvex unconstrained optimization with Hölder continuous Hessian. - Chuan He 004; Zhaosong Lu (CoRR, 2023)

A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition. - Masaru Ito; Zhaosong Lu; Chuan He 004 (J. Mach. Learn. Res., 2023)

A Newton-CG Based Barrier Method for Finding a Second-Order Stationary Point of Nonconvex Conic Optimization with Complexity Guarantees. - Chuan He 004; Zhaosong Lu (SIAM J. Optim., 2023)

A Newton-CG Based Augmented Lagrangian Method for Finding a Second-Order Stationary Point of Nonconvex Equality Constrained Optimization with Complexity Guarantees. - Chuan He 004; Zhaosong Lu; Ting Kei Pong (SIAM J. Optim., 2023)

A Newton-CG based barrier-augmented Lagrangian method for general nonconvex conic optimization. - Chuan He 004; Heng Huang; Zhaosong Lu (Comput. Optim. Appl., 2024)

Complexity of normalized stochastic first-order methods with momentum under heavy-tailed noise. - Chuan He 004; Zhaosong Lu; Defeng Sun; Zhanwang Deng (CoRR, 2025)