
Backward diffusionwave problem: stability, regularization and approximation
We aim at the development and analysis of the numerical schemes for appr...
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Recovery of a SpaceTime Dependent Diffusion Coefficient in Subdiffusion: Stability, Approximation and Error Analysis
In this work, we study an inverse problem of recovering a spacetime dep...
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Robust Convergence of Parareal Algorithms with Arbitrarily Highorder Fine Propagators
The aim of this paper is to analyze the robust convergence of a class of...
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Recovering the Potential in OneDimensional TimeFractional Diffusion with Unknown Initial Condition and Source
This paper is concerned with an inverse problem of recovering a potentia...
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Arbitrarily Highorder Maximum Bound Preserving Schemes with Cutoff Postprocessing for AllenCahn Equations
We develop and analyze a class of maximum bound preserving schemes for a...
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Stability implies robust convergence of a class of diagonalizationbased iterative algorithms
Solving wave equations in a timeparallel manner is challenging, and the...
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Reconstruction of a SpaceTime Dependent Source in Subdiffusion Models via a Perturbation Approach
In this article we study inverse problems of recovering a spacetime dep...
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Deep Reinforcement Learning with Spatiotemporal Traffic Forecasting for DataDriven Base Station Sleep Control
To meet the ever increasing mobile traffic demand in 5G era, base statio...
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FedHome: CloudEdge based Personalized Federated Learning for InHome Health Monitoring
Inhome health monitoring has attracted great attention for the ageing p...
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CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
Recent advances in artificial intelligence have driven increasing intell...
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Backward difference formula: The energy technique for subdiffusion equation
Based on the equivalence of Astability and Gstability, the energy tech...
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Arbitrarily highorder exponential cutoff methods for preserving maximum principle of parabolic equations
A new class of highorder maximum principle preserving numerical methods...
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Error Analysis of Finite Element Approximations of Diffusion Coefficient Identification for Elliptic and Parabolic Problems
In this work, we present a novel error analysis for recovering a spatial...
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When Deep Reinforcement Learning Meets Federated Learning: Intelligent MultiTimescale Resource Management for Multiaccess Edge Computing in 5G Ultra Dense Network
Ultradense edge computing (UDEC) has great potential, especially in the...
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An Inverse Potential Problem for Subdiffusion: Stability and Reconstruction
In this work, we study the inverse problem of recovering a potential coe...
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Numerical Analysis of Backward Subdiffusion Problems
The aim of this paper is to develop and analyze numerical schemes for ap...
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Parallelintime highorder BDF schemes for diffusion and subdiffusion equations
In this paper, we propose a parallelintime algorithm for approximately...
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The energy technique for the sixstep BDF method
In combination with the Grenander–Szegö theorem, we observe that a relax...
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Leveraging the Power of Prediction: Predictive Service Placement for LatencySensitive Mobile Edge Computing
Mobile edge computing (MEC) is emerging to support delaysensitive 5G ap...
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Subdiffusion with TimeDependent Coefficients: Improved Regularity and SecondOrder Time Stepping
This article concerns secondorder time discretization of subdiffusion e...
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Age of Processing: Agedriven Status Sampling and Processing Offloading for Edge Computingenabled Realtime IoT Applications
The freshness of status information is of great importance for timecrit...
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HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in MobileEdgeCloud Computing
Nowadays, deep neural networks (DNNs) are the core enablers for many eme...
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DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network
Online social networks (OSNs) are emerging as the most popular mainstrea...
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Nonlocalintime dynamics and crossover of diffusive regimes
We study a simple nonlocalintime dynamic system proposed for the effec...
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Highorder Time Stepping Schemes for Semilinear Subdiffusion Equations
The aim of this paper is to develop and analyze highorder time stepping...
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HFEL: Joint Edge Association and Resource Allocation for CostEfficient Hierarchical Federated Edge Learning
Federated Learning (FL) has been proposed as an appealing approach to ha...
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Numerical methods for nonlocal and fractional models
Partial differential equations (PDEs) are used, with huge success, to mo...
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Edge AI: OnDemand Accelerating Deep Neural Network Inference via Edge Computing
As a key technology of enabling Artificial Intelligence (AI) application...
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Numerical Estimation of a Diffusion Coefficient in Subdiffusion
In this work, we consider the numerical recovery of a spatially dependen...
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TimeFractional AllenCahn Equations: Analysis and Numerical Methods
In this work, we consider a timefractional AllenCahn equation, where t...
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Incomplete Iterative Solution of the Subdiffusion Problem
In this work, we develop an efficient incomplete iterative scheme for th...
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Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
With the breakthroughs in deep learning, the recent years have witnessed...
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Follow Me at the Edge: MobilityAware Dynamic Service Placement for Mobile Edge Computing
Mobile edge computing is a new computing paradigm, which pushes cloud co...
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Edge Intelligence: OnDemand Deep Learning Model CoInference with DeviceEdge Synergy
As the backbone technology of machine learning, deep neural networks (DN...
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Efficient Resource Allocation for OnDemand MobileEdge Cloud Computing
Mobileedge cloud computing is a new paradigm to provide cloud computing...
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Zhi Zhou
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