b'Zhi Zhou'

research

∙ 09/18/2023

Parameter-Efficient Long-Tailed Recognition

The "pre-training and fine-tuning" paradigm in addressing long-tailed re...

0 Jiang-Xin Shi, et al. ∙

research

∙ 08/31/2023

BeeFlow: Behavior Tree-based Serverless Workflow Modeling and Scheduling for Resource-Constrained Edge Clusters

Serverless computing has gained popularity in edge computing due to its ...

0 Ke Luo, et al. ∙

research

∙ 08/31/2023

Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks

Physics informed neural networks (PINNs) represent a very powerful class...

0 Tianhao Hu, et al. ∙

research

∙ 08/23/2023

Solving Elliptic Optimal Control Problems using Physics Informed Neural Networks

In this work, we present and analyze a numerical solver for optimal cont...

0 Bangti Jin, et al. ∙

research

∙ 08/07/2023

Numerical Reconstruction of Diffusion and Potential Coefficients from Two Observations: Decoupled Recovery and Error Estimates

The focus of this paper is on the concurrent reconstruction of both the ...

0 Siyu Cen, et al. ∙

research

∙ 07/14/2023

High-order splitting finite element methods for the subdiffusion equation with limited smoothing property

In contrast with the diffusion equation which smoothens the initial data...

0 Buyang Li, et al. ∙

research

∙ 07/06/2023

Recovery of Multiple Parameters in Subdiffusion from One Lateral Boundary Measurement

This work is concerned with numerically recovering multiple parameters s...

0 Siyu Cen, et al. ∙

research

∙ 07/04/2023

Serving Graph Neural Networks With Distributed Fog Servers For Smart IoT Services

Graph Neural Networks (GNNs) have gained growing interest in miscellaneo...

0 Liekang Zeng, et al. ∙

research

∙ 04/22/2023

Towards Carbon-Neutral Edge Computing: Greening Edge AI by Harnessing Spot and Future Carbon Markets

Provisioning dynamic machine learning (ML) inference as a service for ar...

0 Huirong Ma, et al. ∙

research

∙ 04/18/2023

Electrical Impedance Tomography with Deep Calderón Method

Electrical impedance tomography (EIT) is a noninvasive medical imaging m...

0 Siyu Cen, et al. ∙

research

∙ 03/29/2023

Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks

In this work we develop a novel approach using deep neural networks to r...

0 Bangti Jin, et al. ∙

research

∙ 02/21/2023

Hybrid Neural-Network FEM Approximation of Diffusion Coefficient in Elliptic and Parabolic Problems

In this work we investigate the numerical identification of the diffusio...

0 Siyu Cen, et al. ∙

research

∙ 01/16/2023

HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association

Federated learning (FL) is a promising paradigm that enables collaborati...

0 Qiong Wu, et al. ∙

research

∙ 11/03/2022

iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud

GPUs are essential to accelerating the latency-sensitive deep neural net...

0 Fei Xu, et al. ∙

research

∙ 10/31/2022

GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers

Edge intelligence has arisen as a promising computing paradigm for suppo...

0 Liekang Zeng, et al. ∙

research

∙ 10/14/2022

Inverse Problems for Subdiffusion from Observation at an Unknown Terminal Time

Inverse problems of recovering space-dependent parameters, e.g., initial...

0 Bangti Jin, et al. ∙

research

∙ 09/07/2022

Solving Elliptic Problems with Singular Sources using Singularity Splitting Deep Ritz Method

In this work, we develop an efficient solver based on deep neural networ...

0 Tianhao Hu, et al. ∙

research

∙ 08/12/2022

USB: A Unified Semi-supervised Learning Benchmark

Semi-supervised learning (SSL) improves model generalization by leveragi...

0 Yidong Wang, et al. ∙

research

∙ 08/09/2022

LAMDA-SSL: Semi-Supervised Learning in Python

LAMDA-SSL is open-sourced on GitHub and its detailed usage documentation...

0 Lin-Han Jia, et al. ∙

research

∙ 07/28/2022

Stability and numerical analysis of backward problem for subdiffusion with time-dependent coefficients

Our aim is to study the backward problem, i.e. recover the initial data ...

0 Zhengqi Zhang, et al. ∙

research

∙ 07/18/2022

Modified BDF2 schemes for subdiffusion models with a singular source term

The aim of this paper is to study the time stepping scheme for approxima...

0 Minghua Chen, et al. ∙

research

∙ 03/09/2022

Convergence Rate Analysis of Galerkin Approximation of Inverse Potential Problem

In this work we analyze the inverse problem of recovering the space-depe...

0 Bangti Jin, et al. ∙

research

∙ 03/01/2022

Nonlocal diffusion models with consistent local and fractional limits

For some spatially nonlocal diffusion models with a finite range of nonl...

0 Qiang Du, et al. ∙

research

∙ 02/12/2022

Robust Deep Semi-Supervised Learning: A Brief Introduction

Semi-supervised learning (SSL) is the branch of machine learning that ai...

8 Lan-Zhe Guo, et al. ∙

research

∙ 01/05/2022

Identification of potential in diffusion equations from terminal observation: analysis and discrete approximation

The aim of this paper is to study the recovery of a spatially dependent ...

0 Zhengqi Zhang, et al. ∙

research

∙ 12/25/2021

Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping

With the wide penetration of smart robots in multifarious fields, Simult...

9 Peng Huang, et al. ∙

research

∙ 09/15/2021

Backward diffusion-wave problem: stability, regularization and approximation

We aim at the development and analysis of the numerical schemes for appr...

0 Zhengqi Zhang, et al. ∙

research

∙ 09/14/2021

Recovery of a Space-Time Dependent Diffusion Coefficient in Subdiffusion: Stability, Approximation and Error Analysis

In this work, we study an inverse problem of recovering a space-time dep...

0 Bangti Jin, et al. ∙

research

∙ 09/11/2021

Robust Convergence of Parareal Algorithms with Arbitrarily High-order Fine Propagators

The aim of this paper is to analyze the robust convergence of a class of...

0 Jiang Yang, et al. ∙

research

∙ 05/31/2021

Recovering the Potential in One-Dimensional Time-Fractional Diffusion with Unknown Initial Condition and Source

This paper is concerned with an inverse problem of recovering a potentia...

0 Bangti Jin, et al. ∙

research

∙ 02/26/2021

Arbitrarily High-order Maximum Bound Preserving Schemes with Cut-off Postprocessing for Allen-Cahn Equations

We develop and analyze a class of maximum bound preserving schemes for a...

0 Jiang Yang, et al. ∙

research

∙ 02/09/2021

Stability implies robust convergence of a class of diagonalization-based iterative algorithms

Solving wave equations in a time-parallel manner is challenging, and the...

0 Shulin Wu, et al. ∙

research

∙ 02/05/2021

Reconstruction of a Space-Time Dependent Source in Subdiffusion Models via a Perturbation Approach

In this article we study inverse problems of recovering a space-time dep...

0 Bangti Jin, et al. ∙

research

∙ 01/21/2021

Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control

To meet the ever increasing mobile traffic demand in 5G era, base statio...

11 Qiong Wu, et al. ∙

research

∙ 12/14/2020

FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring

In-home health monitoring has attracted great attention for the ageing p...

0 Qiong Wu, et al. ∙

research

∙ 12/06/2020

CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices

Recent advances in artificial intelligence have driven increasing intell...

0 Liekang Zeng, et al. ∙

research

∙ 10/25/2020

Backward difference formula: The energy technique for subdiffusion equation

Based on the equivalence of A-stability and G-stability, the energy tech...

0 Minghua Chen, et al. ∙

research

∙ 10/17/2020

Arbitrarily high-order exponential cut-off methods for preserving maximum principle of parabolic equations

A new class of high-order maximum principle preserving numerical methods...

0 Buyang Li, et al. ∙

research

∙ 10/06/2020

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...

0 Bangti Jin, et al. ∙

research

∙ 09/22/2020

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network

Ultra-dense edge computing (UDEC) has great potential, especially in the...

0 Shuai Yu, et al. ∙

research

∙ 09/08/2020

An Inverse Potential Problem for Subdiffusion: Stability and Reconstruction

In this work, we study the inverse problem of recovering a potential coe...

0 Bangti Jin, et al. ∙

research

∙ 07/31/2020

Numerical Analysis of Backward Subdiffusion Problems

The aim of this paper is to develop and analyze numerical schemes for ap...

0 Zhengqi Zhang, et al. ∙

research

∙ 07/26/2020

Parallel-in-time high-order BDF schemes for diffusion and subdiffusion equations

In this paper, we propose a parallel-in-time algorithm for approximately...

0 Shuonan Wu, et al. ∙

research

∙ 07/17/2020

The energy technique for the six-step BDF method

In combination with the Grenander–Szegö theorem, we observe that a relax...

0 Georgios Akrivis, et al. ∙

research

∙ 06/17/2020

Leveraging the Power of Prediction: Predictive Service Placement for Latency-Sensitive Mobile Edge Computing

Mobile edge computing (MEC) is emerging to support delay-sensitive 5G ap...

0 Huirong Ma, et al. ∙

research

∙ 04/23/2020

Subdiffusion with Time-Dependent Coefficients: Improved Regularity and Second-Order Time Stepping

This article concerns second-order time discretization of subdiffusion e...

0 Bangti Jin, et al. ∙

research

∙ 03/24/2020

Age of Processing: Age-driven Status Sampling and Processing Offloading for Edge Computing-enabled Real-time IoT Applications

The freshness of status information is of great importance for time-crit...

0 Rui Li, et al. ∙

research

∙ 03/22/2020

HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing

Nowadays, deep neural networks (DNNs) are the core enablers for many eme...

0 Deyin Liu, et al. ∙

research

∙ 03/09/2020

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...

0 Qiong Wu, et al. ∙

research

∙ 03/07/2020

Nonlocal-in-time dynamics and crossover of diffusive regimes

We study a simple nonlocal-in-time dynamic system proposed for the effec...

0 Qiang Du, et al. ∙

Zhi Zhou

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