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20092022
most citedWhen Queueing Meets Coding: Optimal-Latency Data Retrieving Scheme in Storage Clouds

87 citations · 559 across the 59 of their papers we have counts for

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19 papers · 1 filter

math.OC2021

Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex Optimization with Time-varying Constraints

Qingsong Liu, Wenfei Wu, Longbo Huang +1

In this paper, we develop a novel virtual-queue-based online algorithm for online convex optimization (OCO) problems with long-term and time-varying constraints and conduct a perfo…

math.OC2018★ 32 cited

Double Quantization for Communication-Efficient Distributed Optimization

Yue Yu, Jiaxiang Wu, Longbo Huang

Modern distributed training of machine learning models suffers from high communication overhead for synchronizing stochastic gradients and model parameters. In this paper, to reduc…

math.OC2017

Learning-aided Stochastic Network Optimization with Imperfect State Prediction

Longbo Huang, Minghua Chen, Yunxin Liu

We investigate the problem of stochastic network optimization in the presence of imperfect state prediction and non-stationarity. Based on a novel distribution-accuracy curve predi…

math.OC2016

Time-Average Optimization with Non-Convex Decision Set and Its Convergence

Sucha Supittayapornpong, Longbo Huang, Michael J. Neely

This paper considers time-average optimization, where a decision vector is chosen every time step within a (possibly non-convex) set, and the goal is to minimize a convex function…

math.OC2016

System Intelligence: Model, Bounds and Algorithms

Longbo Huang

We present a general framework for understanding system intelligence, i.e., the level of system smartness perceived by users, and propose a novel metric for measuring intelligence…

math.OC2015★ 11 cited

Optimizing Age-of-Information in a Multi-class Queueing System

Longbo Huang, Eytan Modiano

We consider the age-of-information in a multi-class queueing system, where each class generates packets containing status information. Age of information is a relatively ne…