22 citations · 56 across the 13 of their papers we have counts for
5 papers · 1 filter
A Proximal Gradient Method With Probabilistic Multi-Gossip Communications for Decentralized Composite Optimization
Luyao Guo, Luqing Wang, Xinli Shi +1
Decentralized optimization methods with local updates have recently gained attention for their provable ability to communication acceleration. In these methods, nodes perform sever…
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…
Extended Zero-Gradient-Sum Approach for Constrained Distributed Optimization with Free Initialization
Xinli Shi, Xinghuo Yu, Guanghui Wen +1
This paper proposes an extended zero-gradient-sum (EZGS) approach for solving constrained distributed optimization (DO) with free initialization. A Newton-based continuous-time alg…
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…
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…