Deng, Kangkang

4 publications

NeurIPS 2025 Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity Without Smoothing Kangkang Deng, Jiachen Jin, Jiang Hu, Hongxia Wang

AAAI 2025 Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization Kangkang Deng, Jiang Hu

NeurIPS 2025 Rethinking Gradient Step Denoiser: Towards Truly Pseudo-Contractive Operator Shuchang Zhang, Yaoyun Zeng, Kangkang Deng, Hongxia Wang

JMLR 2024 A Projected Semismooth Newton Method for a Class of Nonconvex Composite Programs with Strong Prox-Regularity Jiang Hu, Kangkang Deng, Jiayuan Wu, Quanzheng Li