activity
20212026
most citedUniform Moment Bounds for Generalized Jackson Networks in Multi-scale Heavy Traffic

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2026

Diffusion-Based Policies for Dynamic Control of Stochastic Processing Networks

Baris Ata, Jin Guang, J. Michael Harrison +1

We consider a processing network model with job classes or buffers, exogenous input flows into some classes, processing activities, and servers. Each activity is either…

math.PR2025

Functional Limits of Generalized Jackson Networks in Multi-scale Heavy Traffic

Zhen-Qing Chen, J. G. Dai, Jin Guang

We investigate the functional limits of generalized Jackson networks in a multi-scale heavy traffic regime where stations approach full utilization at distinct, separated rates. Ou…

math.PR2025

Asymptotic Product-form Steady-state Distribution for Semimartingale Reflecting Brownian Motion in Multi-scaling Regime

Jin Guang, Xinyun Chen, J. G. Dai +1

Inspired by Dai et al. [2023], we develop a novel multi-scaling asymptotic regime for semimartingale reflecting Brownian motion (SRBM). In this regime, we establish the steady-stat…

math.PR2024★ 1 cited

Steady-State Convergence of the Continuous-Time Routing System with General Distributions in Heavy Traffic

Jin Guang, Yaosheng Xu, J. G. Dai

This paper examines a continuous-time routing system with general interarrival and service time distributions, operating under the join-the-shortest-queue and power-of-two-choices…

math.PR2024★ 3 cited

Uniform Moment Bounds for Generalized Jackson Networks in Multi-scale Heavy Traffic

Jin Guang, Xinyun Chen, J. G. Dai

We establish uniform moment bounds for steady-state queue lengths of generalized Jackson networks (GJNs) in multi-scale heavy traffic as recently proposed by Dai et al. [2023]. Uni…

math.PR2022

Tail Quantile Estimation for Non-preemptive Priority Queues

Jin Guang, Guiyu Hong, Xinyun Chen +4

Motivated by applications in computing and telecommunication systems, we investigate the problem of estimating p-quantile of steady-state sojourn times in a single-server multi-cla…

cs.LG2021

A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations

Yihan Pan, Zhenghang Xu, Jin Guang +10

We collaborate with a large teaching hospital in Shenzhen, China and build a high-fidelity simulation model for its ultrasound center to predict key performance metrics, including…