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09/18/2023
Parameter-Efficient Long-Tailed Recognition
The "pre-training and fine-tuning" paradigm in addressing long-tailed re...
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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 ...
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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...
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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...
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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 ...
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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...
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07/06/2023
Recovery of Multiple Parameters in Subdiffusion from One Lateral Boundary Measurement
This work is concerned with numerically recovering multiple parameters s...
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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...
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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...
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04/18/2023
Electrical Impedance Tomography with Deep Calderón Method
Electrical impedance tomography (EIT) is a noninvasive medical imaging m...
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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...
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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...
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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...
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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...
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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...
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10/14/2022
Inverse Problems for Subdiffusion from Observation at an Unknown Terminal Time
Inverse problems of recovering space-dependent parameters, e.g., initial...
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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...
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08/12/2022
USB: A Unified Semi-supervised Learning Benchmark
Semi-supervised learning (SSL) improves model generalization by leveragi...
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08/09/2022
LAMDA-SSL: Semi-Supervised Learning in Python
LAMDA-SSL is open-sourced on GitHub and its detailed usage documentation...
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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 ...
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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...
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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...
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03/01/2022
Nonlocal diffusion models with consistent local and fractional limits
For some spatially nonlocal diffusion models with a finite range of nonl...
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02/12/2022
Robust Deep Semi-Supervised Learning: A Brief Introduction
Semi-supervised learning (SSL) is the branch of machine learning that ai...
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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 ...
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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...
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09/15/2021
Backward diffusion-wave problem: stability, regularization and approximation
We aim at the development and analysis of the numerical schemes for appr...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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12/06/2020
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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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...
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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...
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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...
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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...
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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...
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07/31/2020
Numerical Analysis of Backward Subdiffusion Problems
The aim of this paper is to develop and analyze numerical schemes for ap...
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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...
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07/17/2020
The energy technique for the six-step BDF method
In combination with the Grenander–Szegö theorem, we observe that a relax...
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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...
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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...
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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...
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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...
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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...
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03/07/2020