22 citations · 51 across the 3 of their papers we have counts for
3 papers
math.OC2023★ 12 cited
Fixed-Time Gradient Flows for Solving Constrained Optimization: A Unified Approach
Xinli Shi, Xiangping Xu, Guanghui Wen +1
The accelerated method in solving optimization problems has always been an absorbing topic. Based on the fixed-time (FxT) stability of nonlinear dynamical systems, we provide a uni…
cs.AI2023★ 17 cited
A data-driven rutting depth short-time prediction model with metaheuristic optimization for asphalt pavements based on RIOHTrack
Zhuoxuan Li, Iakov Korovin, Xinli Shi +4
Rutting of asphalt pavements is a crucial design criterion in various pavement design guides. A good road transportation base can provide security for the transportation of oil and…
math.OC2023★ 22 cited
Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization
Luyao Guo, Xinli Shi, Jinde Cao +1
This paper proposes a novel CTA (Combine-Then-Adapt)-based decentralized algorithm for solving convex composite optimization problems over undirected and connected networks. The lo…