Weiwei Fang

Orcid: 0000-0002-6407-7467

According to our database1, Weiwei Fang authored at least 54 papers between 2007 and 2024.

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Bibliography

2024
EdgeCI: Distributed Workload Assignment and Model Partitioning for CNN Inference on Edge Clusters.
ACM Trans. Internet Techn., May, 2024

An Intelligent Co-Scheduling Framework for Efficient Super-Resolution on Edge Platforms With Heterogeneous Processors.
IEEE Internet Things J., May, 2024

TLEE: Temporal-Wise and Layer-Wise Early Exiting Network for Efficient Video Recognition on Edge Devices.
IEEE Internet Things J., January, 2024

Efficient Deep Neural Network Compression for Environmental Sound Classification on Microcontroller Units.
Turkish J. Electr. Eng. Comput. Sci., 2024

2023
Dynamic deep neural network inference via adaptive channel skipping.
Turkish J. Electr. Eng. Comput. Sci., September, 2023

JMDC: A joint model and data compression system for deep neural networks collaborative computing in edge-cloud networks.
J. Parallel Distributed Comput., March, 2023

Δfree-LSTM: An error distribution free deep learning for short-term traffic flow forecasting.
Neurocomputing, March, 2023

Joint Architecture Design and Workload Partitioning for DNN Inference on Industrial IoT Clusters.
ACM Trans. Internet Techn., 2023

Model Parallelism Optimization for Distributed DNN Inference on Edge Devices.
Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

Deep Reinforcement Learning Based Multi-Task Automated Channel Pruning for DNNs.
Proceedings of the International Joint Conference on Neural Networks, 2023

Classification-Based Dynamic Network for Efficient Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems.
IEEE Trans. Big Data, 2022

2021
Computation offloading optimization for UAV-assisted mobile edge computing: a deep deterministic policy gradient approach.
Wirel. Networks, 2021

EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices.
IEEE Trans. Ind. Informatics, 2021

An ADMM-based incentive approach for cooperative data analysis in edge computing.
Turkish J. Electr. Eng. Comput. Sci., 2021

Channel pruning guided by spatial and channel attention for DNNs in intelligent edge computing.
Appl. Soft Comput., 2021

A stable second-order BDF scheme for the three-dimensional Cahn-Hilliard-Hele-Shaw system.
Adv. Comput. Math., 2021

Accelerating Federated Learning for IoT in Big Data Analytics With Pruning, Quantization and Selective Updating.
IEEE Access, 2021

Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going.
IEEE Access, 2021

2020
More trainable inception-ResNet for face recognition.
Neurocomputing, 2020

EdgeLD: Locally Distributed Deep Learning Inference on Edge Device Clusters.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019
OKRA: optimal task and resource allocation for energy minimization in mobile edge computing systems.
Wirel. Networks, 2019

Markov Approximation for Task Offloading and Computation Scaling in Mobile Edge Computing.
Mob. Inf. Syst., 2019

Numerical simulation of Swift-Hohenberg equation by the fourth-order compact scheme.
Comput. Appl. Math., 2019

Android Malware Identification Based on Traffic Analysis.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

2018
A Stochastic Control Approach to Maximize Profit on Service Provisioning for Mobile Cloudlet Platforms.
IEEE Trans. Syst. Man Cybern. Syst., 2018

A distributed ADMM approach for energy-efficient resource allocation in mobile edge computing.
Turkish J. Electr. Eng. Comput. Sci., 2018

2017
Clustered multi-dictionary code compression method for portable medical electronic systems.
Proceedings of the 19th IEEE International Conference on e-Health Networking, 2017

2016
基于隐私保护的序列模式挖掘 (Sequential Pattern Mining Based on Privacy Preserving).
计算机科学, 2016

Optimal scheduling for energy harvesting mobile sensing devices.
Comput. Commun., 2016

2015
A Comment on "Power Cost Reduction in Distributed Data Centers: A Two Time Scale Approach for Delay Tolerant Workloads".
IEEE Trans. Parallel Distributed Syst., 2015

Optimal scheduling for data transmission between mobile devices and cloud.
Inf. Sci., 2015

Software-defined cellular networking: a practical path towards 5G.
Int. J. Commun. Networks Distributed Syst., 2015

2014
Achieving optimal admission control with dynamic scheduling in energy constrained network systems.
J. Netw. Comput. Appl., 2014

Diamond: An Improved Fat-tree Architecture for Large-scale Data Centers.
J. Commun., 2014

On the throughput-energy tradeoff for data transmission between cloud and mobile devices.
Inf. Sci., 2014

Optimising data placement and traffic routing for energy saving in Backbone Networks.
Trans. Emerg. Telecommun. Technol., 2014

2013
Comment on 'Robust Cooperative Routing Protocol in Mobile Wireless Sensor Networks'.
IEEE Trans. Wirel. Commun., 2013

Privacy preserving linear regression modeling of distributed databases.
Optim. Lett., 2013

VMPlanner: Optimizing virtual machine placement and traffic flow routing to reduce network power costs in cloud data centers.
Comput. Networks, 2013

2012
ERSVC: An Efficient Routing Scheme for Satellite Constellation Adapting Vector Composition.
Proceedings of the 3rd International Conference on Ambient Systems, 2012

Network Element Scheduling for Achieving Energy-Aware Data Center Networks.
Int. J. Comput. Commun. Control, 2012

Metric-based PRT set selection in tone reservation scheme for PAPR reduction in OFDM systmes.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2010
Energy-efficient cooperative communication for data transmission in wireless sensor networks.
IEEE Trans. Consumer Electron., 2010

Congestion avoidance, detection and alleviation in wireless sensor networks.
J. Zhejiang Univ. Sci. C, 2010

Preserving Private Knowledge In Decision Tree Learning.
J. Comput., 2010

A Novel Scheme for High Performance Finite-Difference Time-Domain (FDTD) Computations Based on GPU.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2010

2009
RRDD: Receiver-oriented Robust Data Delivery in Mobile Sensor Networks.
Proceedings of the IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, 2009

A Compensation-Based Reliable Data Delivery for Instant Wireless Sensor Network.
Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009

Link-Aware Geographic Routing in Wireless Sensor Networks.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
A Learning Algorithm of Fuzzy Cognitive Map in Document Classification.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Privacy Preserving Decision Tree Learning over Vertically Partitioned Data.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
An On-demand Address Allocation Scheme for Query based Sensor Networks.
Proceedings of the International Symposium on Autonomous Decentralized Systems (ISADS 2007), 2007

EDDS: An Efficient Data Delivery Scheme for Address-Free Wireless Sensor Networks.
Proceedings of the Sixth International Conference on Networking (ICN 2007), 2007


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