4 citations · 4 across the 3 of their papers we have counts for
5 papers
Accelerated Zeroth-order Algorithm for Stochastic Distributed Nonconvex Optimization
Shengjun Zhang, Colleen P. Bailey
This paper investigates how to accelerate the convergence of distributed optimization algorithms on nonconvex problems with zeroth-order information available only. We propose a ze…
Accelerated Primal-Dual Algorithm for Distributed Non-convex Optimization
Shengjun Zhang, Colleen P. Bailey
This paper investigates accelerating the convergence of distributed optimization algorithms on non-convex problems. We propose a distributed primal-dual stochastic gradient descent…
Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method
Shengjun Zhang, Yunlong Dong, Dong Xie +3
This paper investigates the stochastic distributed nonconvex optimization problem of minimizing a global cost function formed by the summation of local cost functions. We solve…
Obstacle Avoidance and Navigation Utilizing Reinforcement Learning with Reward Shaping
Daniel Zhang, Colleen P. Bailey
In this paper, we investigate the obstacle avoidance and navigation problem in the robotic control area. For solving such a problem, we propose revised Deep Deterministic Policy Gr…
Extremal Region Analysis based Deep Learning Framework for Detecting Defects
Zelin Deng, Xiaolong Yan, Shengjun Zhang +1
A maximally stable extreme region (MSER) analysis based convolutional neural network (CNN) for unified defect detection framework is proposed in this paper. Our proposed framework…