45 citations · 209 across the 21 of their papers we have counts for
22 papers
Online Service Placement and Request Scheduling in MEC Networks
Lina Su, Ne Wang, Ruiting Zhou +1
Mobile edge computing (MEC) emerges as a promising solution for servicing delay-sensitive tasks at the edge network. A body of recent literature started to focus on cost-efficient…
Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters
Xinxin Mei, Qiang Wang, Xiaowen Chu +3
Energy conservation of large data centers for high-performance computing workloads, such as deep learning with big data, is of critical significance, where cutting down a few perce…
Perceptual Generative Autoencoders
Zijun Zhang, Ruixiang Zhang, Zongpeng Li +2
Modern generative models are usually designed to match target distributions directly in the data space, where the intrinsic dimension of data can be much lower than the ambient dim…
Removing the Feature Correlation Effect of Multiplicative Noise
Zijun Zhang, Yining Zhang, Zongpeng Li
Multiplicative noise, including dropout, is widely used to regularize deep neural networks (DNNs), and is shown to be effective in a wide range of architectures and tasks. From an…
Circular-shift Linear Network Codes with Arbitrary Odd Block Lengths
Qifu Tyler Sun, Hanqi Tang, Zongpeng Li +2
Circular-shift linear network coding (LNC) is a class of vector LNC with low encoding and decoding complexities, and with local encoding kernels chosen from cyclic permutation matr…
A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization
Rui Zhu, Di Niu, Zongpeng Li
Many machine learning models, including those with non-smooth regularizers, can be formulated as consensus optimization problems, which can be solved by the alternating direction m…
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
Rui Zhu, Di Niu, Zongpeng Li
We study stochastic algorithms for solving nonconvex optimization problems with a convex yet possibly nonsmooth regularizer, which find wide applications in many practical machine…
Online Job Scheduling in Distributed Machine Learning Clusters
Yixin Bao, Yanghua Peng, Chuan Wu +1
Nowadays large-scale distributed machine learning systems have been deployed to support various analytics and intelligence services in IT firms. To train a large dataset and derive…
Device-to-Device Load Balancing for Cellular Networks
Lei Deng, Yinghui He, Ying Zhang +5
Small-cell architecture is widely adopted by cellular network operators to increase network capacity. By reducing the size of cells, operators can pack more (low-power) base statio…
Normalized Direction-preserving Adam
Zijun Zhang, Lin Ma, Zongpeng Li +1
Adaptive optimization algorithms, such as Adam and RMSprop, have shown better optimization performance than stochastic gradient descent (SGD) in some scenarios. However, recent stu…
Circular-shift Linear Network Coding
Hanqi Tang, Qifu Tyler Sun, Zongpeng Li +2
We study a class of linear network coding (LNC) schemes, called circular-shift LNC, whose encoding operations consist of only circular-shifts and bit-wise additions (XOR). Formulat…
Optimal Posted Prices for Online Cloud Resource Allocation
Zijun Zhang, Zongpeng Li, Chuan Wu
We study online resource allocation in a cloud computing platform, through a posted pricing mechanism: The cloud provider publishes a unit price for each resource type, which may v…
An Auction Approach to Spectrum Management in HetNets
Linquan Zhang, Zongpeng Li, Chuan Wu
The growing demand in mobile Internet access calls for high capacity and energy efficient cellular access with better cell coverage. The in-band relaying solution, proposed in LTE-…
Online Scaling of NFV Service Chains across Geo-distributed Datacenters
Yongzheng Jia, Chuan Wu, Zongpeng Li +2
Network Function Virtualization (NFV) is an emerging paradigm that turns hardware-dependent implementation of network functions (i.e., middleboxes) into software modules running on…
A Truthful -Optimal Mechanism for On-demand Cloud Resource Provisioning
Xiaoxi Zhang, Chuan Wu, Zongpeng Li +1
On-demand resource provisioning in cloud computing provides tailor-made resource packages (typically in the form of VMs) to meet users' demands. Public clouds nowadays provide more…
Expectile Matrix Factorization for Skewed Data Analysis
Rui Zhu, Di Niu, Linglong Kong +1
Matrix factorization is a popular approach to solving matrix estimation problems based on partial observations. Existing matrix factorization is based on least squares and aims to…
On Vector Linear Solvability of Multicast Networks
Qifu Tyler Sun, Xiaolong Yang, Keping Long +2
Vector linear network coding (LNC) is a generalization of the conventional scalar LNC, such that the data unit transmitted on every edge is an -dimensional vector of data symbol…
Online VNF Scaling in Datacenters
Xiaoke Wang, Chuan Wu, Franck Le +3
Network Function Virtualization (NFV) is a promising technology that promises to significantly reduce the operational costs of network services by deploying virtualized network fun…
Multicast Network Coding and Field Sizes
Qifu, Sun, Xunrui Yin +2
In an acyclic multicast network, it is well known that a linear network coding solution over GF() exists when is sufficiently large. In particular, for each prime power …
Cost Minimization in Multiple IaaS Clouds: A Double Auction Approach
Jian Zhao, Chuan Wu, Zongpeng Li
IaaS clouds invest substantial capital in operating their data centers. Reducing the cost of resource provisioning, is their forever pursuing goal. Computing resource trading among…
A Graph Minor Perspective to Multicast Network Coding
Xunrui Yin, Yan Wang, Zongpeng Li +2
Network Coding encourages information coding across a communication network. While the necessity, benefit and complexity of network coding are sensitive to the underlying graph str…
Virtual Machine Trading in a Federation of Clouds: Individual Profit and Social Welfare Maximization
Hongxing Li, Chuan Wu, Zongpeng Li +1
By sharing resources among different cloud providers, the paradigm of federated clouds exploits temporal availability of resources and geographical diversity of operational costs f…