Shiqian Ma

Tianjin Research Institute of Electric Science (China) — China

Engineering · Physical Sciences

38h-index5.8kcitations210works1.32yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(108), Advanced Optimization Algorithms Research(53), Stochastic Gradient Optimization Techniques(41), Optimization and Variational Analysis(22), Microgrid Control and Optimization(19)

Publications210 total

Relaxed Proximal Point Algorithm: Tight Complexity Bounds and Acceleration Without Momentum
INFORMS Journal on Optimization·2025Open Access
Efficient OPF calculations for power system reliability assessment based on state similarity
Applied Energy·2025Open Access
On the Convergence of Constrained Gradient Method
arXiv (Cornell University)·2025Open Access
Mirror Flow Matching with Heavy-Tailed Priors for Generative Modeling on Convex Domains
arXiv (Cornell University)·2025Open Access
AutoBalance: An Automatic Balancing Framework for Training Physics-Informed Neural Networks
arXiv (Cornell University)·2025Open Access
A Simple Adaptive Proximal Gradient Method for Nonconvex Optimization
arXiv (Cornell University)·2025Open Access
A Single-Loop Algorithm for Decentralized Bilevel Optimization
Mathematics of Operations Research·2025· 1 cited
Bregman Douglas-Rachford Splitting Method
arXiv (Cornell University)·2025Open Access
Data-Driven Distributionally Robust Optimization for Solar-Powered EV Charging Under Spatiotemporal Uncertainty in Urban Distribution Networks
Energies·2025Open Access
Exact worst-case convergence rates for Douglas--Rachford and Davis--Yin splitting methods
arXiv (Cornell University)·2025Open Access
An Adaptive and Parameter-Free Nesterov's Accelerated Gradient Method for Convex Optimization
arXiv (Cornell University)·2025Open Access
Load Restoration Based on Improved Girvan–Newman and QTRAN-Alt in Distribution Networks
Processes·2025Open Access
First-Order Federated Bilevel Learning
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
AdaBB: Adaptive Barzilai-Borwein Method for Convex Optimization
Mathematics of Operations Research·2025· 2 cited
Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
arXiv (Cornell University)·2025Open Access
Tuning-Free Decentralized Nonconvex Stochastic Optimization
Pacific Journal of Optimization·2025Open Access
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications
IEEE Transactions on Signal Processing·2025
Fully First-Order Methods for DecentralizedBilevel Optimization
IEEE Transactions on Signal Processing·2025· 1 cited
A Riemannian Alternating Direction Method of Multipliers
Mathematics of Operations Research·2024· 5 cited
Fully First-Order Methods for Decentralized Bilevel Optimization
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Shuzhong Zhang(12), Donald Goldfarb(11), Tianyi Lin(8), Hui Zou(4), Bo Jiang(4), Mingyi Hong(4), Yu‐Hong Dai(4), Katya Scheinberg(3), Wei Liu(3), Lingzhou Xue(3), Xiangfeng Wang(3), Ya‐Feng Liu(3), Caihua Chen(2), Junfeng Yang(2), Shixiang Chen(2), Zhi‐Quan Luo(2), Conghui Tan(2), Yuqiu Qian(2), Tsung‐Hui Chang(2), Meisam Razaviyayn(2)