Zeng Zeng

Orcid: 0000-0002-2405-0323

According to our database1, Zeng Zeng authored at least 152 papers between 2004 and 2024.

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Bibliography

2024
End-Edge-Cloud Collaboration-Based False Data Injection Attack Detection in Distribution Networks.
IEEE Trans. Ind. Informatics, February, 2024

Graph Neural Networks for Protein-Protein Interactions - A Short Survey.
CoRR, 2024

Application of Imagery Modeling and Deep Learning in Chip Thermal Analysis.
Proceedings of the 31st International Conference on Mixed Design of Integrated Circuits and System , 2024

Electricity Price Gaming Based on Personalized Load Forecasting for Energy Saving.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2024

2023
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation.
IEEE Trans. Medical Imaging, March, 2023

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data.
IEEE J. Biomed. Health Informatics, February, 2023

Efficient Perturbation Inference and Expandable Network for continual learning.
Neural Networks, February, 2023

Service Cost Effective and Reliability Aware Job Scheduling Algorithm on Cloud Computing Systems.
IEEE Trans. Cloud Comput., 2023

A Lightweight Nonlinear White-Box SM4 Implementation Applied to Edge IoT Agents.
IEEE Access, 2023

Improved Semantic Segmentation Adversarial Networks Applied to Industrial Production Datasets.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

Enhancing Semiconductor Chip Image Defect Classification Using Deep Learning and Segmented Defect Region Information.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

Adaptive Modelling for Anomaly Detection and Defect Diagnosis in Semiconductor Smart Manufacturing: A Domain-specific AutoML.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

Wafer Map Defect Patterns Semi-Supervised Classification Using Latent Vector Representation.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

Wafer Map Defect Recognition and Accurate Localization Based on Defect Completion Algorithm.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

AutoML with Focal Loss for Defect Diagnosis and Prognosis in Smart Manufacturing.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

A Deeply Supervised Semantic Segmentation Method Based on GAN.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space.
Proceedings of the IEEE International Conference on Image Processing, 2023

An Efficient Deep Video Model For Deepfake Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing.
World Wide Web, 2022

Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds.
IEEE Trans. Parallel Distributed Syst., 2022

Hierarchical Semantic Graph Reasoning for Train Component Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022

Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting.
ACM Trans. Knowl. Discov. Data, 2022

Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road.
IEEE Trans. Intell. Transp. Syst., 2022

A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains.
IEEE Trans. Intell. Transp. Syst., 2022

Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things.
IEEE Trans. Ind. Informatics, 2022

MOCLoc: Emerging Online Collaborative Localization Enhanced by Multidimensional Scaling.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning.
IEEE Trans. Cybern., 2022

Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains.
IEEE Trans. Cybern., 2022

Hierarchical Graph Neural Networks for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

AdaSG: A Lightweight Feature Point Matching Method Using Adaptive Descriptor with GNN for VSLAM.
Sensors, 2022

Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing.
Neurocomputing, 2022

Enhanced gradient learning for deep neural networks.
IET Image Process., 2022

An improved DECPSOHDV-Hop algorithm for node location of WSN in Cyber-Physical-Social-System.
Comput. Commun., 2022

Hand Movement Classification from Spatio-Temporal Sensory Data Based on Hybrid Random Forest Deep Learning.
Proceedings of the IEEE Smartworld, 2022

Surface Defect Detection Based on ResNet Classification Network with GAN Optimized.
Proceedings of the IEEE Smartworld, 2022

Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks.
Proceedings of the IEEE Smartworld, 2022

Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fabric Image Layering Based on Kmeans-AP.
Proceedings of the 6th International Conference on Video and Image Processing, 2022

Adaptive Mean-Residue Loss for Robust Facial Age Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Research on a non-intrusive electrical load intelligent identification algorithm.
Proceedings of the 5th IEEE International Conference on Information Systems and Computer Aided Education, 2022

ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Iterative Contrastive Learning for Single Image Raindrop Removal.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Object-Aware Self-Supervised Multi-Label Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Latent Vector Prototypes Guided Conditional Face Synthesis.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

MANET: Mitral Annulus Point Tracking Network in Cardiac Magnetic Resonance.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Fabric Image Layering Based on Parallel K-means.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Self-supervised Assisted Active Learning for Skin Lesion Segmentation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Residual Channel Attention Network for Brain Glioma Segmentation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Research on Using Dynamic Thread Pool to Improve the Performance of VPN Gateway.
Proceedings of the 7th International Conference on Computer and Communication Systems, 2022

2021
DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2021

Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network.
ACM Trans. Intell. Syst. Technol., 2021

Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things.
IEEE Trans. Ind. Informatics, 2021

A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems Using Multi-objective Reinforcement Learning.
ACM Trans. Cyber Phys. Syst., 2021

Topics, Sentiments, and Emotions Triggered by COVID-19-Related Tweets from IRAN and Turkey Official News Agencies.
SN Comput. Sci., 2021

Correction to "Nonlinear Regression via Deep Negative Correlation Learning".
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Nonlinear Regression via Deep Negative Correlation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Ordered or Orderless: A Revisit for Video Based Person Re-Identification.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A novel cooperative resource provisioning strategy for Multi-Cloud load balancing.
J. Parallel Distributed Comput., 2021

Bridge health anomaly detection using deep support vector data description.
Neurocomputing, 2021

An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance.
CoRR, 2021

A Data-Driven Approach for Blockchain-Based Smart Grid System.
IEEE Access, 2021

A Seq2Seq Learning Approach for Link Quality Estimation Based on System Metrics in WSNs.
IEEE Access, 2021

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Soudain: Online Adaptive Profile Configuration for Real-time Video Analytics.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Adaptive Task Scheduling in Cloud-Edge System for Edge Intelligence Application.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Multi-Agent Reinforcement Learning for Edge Resource Management with Reconstructed Environment.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Workload Prediction in Edge Computing based on Graph Neural Network.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Microservice Replacement Algorithm in Cloud-Edge System for Edge Intelligence.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

Multi-Job Multi-Edge Allocation in Edge Computing Environments.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

TRAN: Task Replication with Guarantee via Multi-armed Bandit.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

Systematic Analysis of Circular Artifacts for Stylegan.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

The Application of Beidou and Ultra-Broadband Positioning Technology in the Power Security Protection System.
Proceedings of the Big Data and Security - Third International Conference, 2021

Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A IoT Terminal Position Recognition Method Based on RSSI and Magnetic Field in A Low Trust Environment.
Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

Wi-SL: A Secure Lightweight WiFi Transmission Mechanism for IoT Devices.
Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

2020
Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks.
ACM Trans. Knowl. Discov. Data, 2020

Towards secure and network state aware bitrate adaptation at IoT edge.
J. Cloud Comput., 2020

A hierarchical deep convolutional neural network and gated recurrent unit framework for structural damage detection.
Inf. Sci., 2020

A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks.
Neurocomputing, 2020

Overlapped universal filtered multicarrier system for uplink wireless communication.
Int. J. Commun. Syst., 2020

EDC: An Edge-Oriented Dynamic Resource Configuration Strategy.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2020

An Edge-Assisted Video Computing Framework for Industrial IoT.
Proceedings of the Mobile Computing, Applications, and Services, 2020

Robust Train Component Detection with Cascade Convolutional Neural Networks based on Structure Knowledge.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Efficient Edge Service Migration in Mobile Edge Computing.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Adaptive DNN Partition in Edge Computing Environments.
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading.
Proceedings of the IEEE International Conference on Image Processing, 2020

An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments.
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

A Balanced Cost Fault-Tolerant Scheduling Algorithm in Heterogeneous Real-Time Systems.
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

Efficient Design of Hybrid Half-band Multi-stage Filter Based on Simulated Annealing Algorithm.
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

A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications.
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

Deeply Supervised Active Learning for Finger Bones Segmentation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Multi-Target Deep Learning for Algal Detection and Classification.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Efficient and Accurate Classification Enabled by a Lightweight CNN.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2019
<i>SeSe-Net</i>: Self-Supervised deep learning for segmentation.
Pattern Recognit. Lett., 2019

Joint spatial modulation and beamforming based on statistical channel state information for hybrid massive MIMO communication systems.
IET Commun., 2019

Cribriform pattern detection in prostate histopathological images using deep learning models.
CoRR, 2019

Robust Regression via Deep Negative Correlation Learning.
CoRR, 2019

Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN).
Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019

FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

3D Inception U-Net for Aorta Segmentation using Computed Tomography Cardiac Angiography.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

ResHNet: Spectrograms Based Efficient Heart Sounds Classification Using Stacked Residual Networks.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

Gated Residual Recurrent Graph Neural Networks for Traffic Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data.
IEEE Trans. Parallel Distributed Syst., 2018

Multi-target deep neural networks: Theoretical analysis and implementation.
Neurocomputing, 2018

Graph Convolutional Neural Networks for Polymers Property Prediction.
CoRR, 2018

An intelligent system for taxi service: Analysis, prediction and visualization.
AI Commun., 2018

Deep Learning for Practical Image Recognition: Case Study on Kaggle Competitions.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2018

Skin Lesion Analysis By Multi-Target Deep Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

CardioXNet: Automated Detection for Cardiomegaly Based on Deep Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Computational Platform Based on Deep Learning for Segmenting Ventricular Endocardium in Long-axis Cardiac MR Imaging.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Automated Classification Using End-to-End Deep Learning.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Deep convolutional neural networks for automatic segmentation of left ventricle cavity from cardiac magnetic resonance images.
IET Comput. Vis., 2017

End-to-End Video Classification with Knowledge Graphs.
CoRR, 2017

A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification.
CoRR, 2017

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text.
CoRR, 2017

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge.
CoRR, 2017

Cloud-of-clouds based resource provisioning strategy for continuous write applications.
Proceedings of the 23rd Asia-Pacific Conference on Communications, 2017

2016
Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds.
Clust. Comput., 2016

2014
Holistic Scheduling of Real-Time Applications in Time-Triggered In-Vehicle Networks.
IEEE Trans. Ind. Informatics, 2014

A 1.5 mW 68 dB SNDR 80 Ms/s 2 × Interleaved Pipelined SAR ADC in 28 nm CMOS.
IEEE J. Solid State Circuits, 2014

Optimal metadata replications and request balancing strategy on cloud data centers.
J. Parallel Distributed Comput., 2014

2012
Do More Replicas of Object Data Improve the Performance of Cloud Data Centers?
Proceedings of the IEEE Fifth International Conference on Utility and Cloud Computing, 2012

An energy-efficient interface for resonant sensors based on ring-down measurement.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

2011
A Novel Security-Driven Scheduling Algorithm for Precedence-Constrained Tasks in Heterogeneous Distributed Systems.
IEEE Trans. Computers, 2011

A novel server-side proxy caching strategy for large-scale multimedia applications.
J. Parallel Distributed Comput., 2011

2009
A novel distributed architecture of large-scale multimedia storage system using autonomous object-based storage devices.
J. Parallel Distributed Comput., 2009

2008
Large-Scale Object-Based Multimedia Storage Systems.
Proceedings of the Encyclopedia of Multimedia, 2nd Ed., 2008

On the Design of Distributed Object Placement and Load Balancing Strategies in Large-Scale Networked Multimedia Storage Systems.
IEEE Trans. Knowl. Data Eng., 2008

H<sup>k</sup>/T: A Novel Server-Side Web Caching Strategy for Multimedia Applications.
Proceedings of IEEE International Conference on Communications, 2008

2006
Design and Performance Evaluation of Queue-and-Rate-Adjustment Dynamic Load Balancing Policies for Distributed Networks.
IEEE Trans. Computers, 2006

Distributed scheduling strategy for divisible loads on arbitrarily configured distributed networks using load balancing via virtual routing.
J. Parallel Distributed Comput., 2006

Design and Performance Evaluation of Fail-over and Recovery Strategies for Large-Scale Multimedia Storage Systems.
Proceedings of the 14th IEEE International Conference on Networks, 2006

A Replica-Conscious Load Balancing Strategy for Large-Scale Multimedia Storage Systems.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

Network-based Caching Algorithms for Reservation-based Multimedia Systems.
Proceedings of the Grid and Cooperative Computing, 2006

2004
Design and analysis of a non-preemptive decentralized load balancing algorithm for multi-class jobs in distributed networks.
Comput. Commun., 2004

Rate-Based and Queue-Based Dynamic Load Balancing Algorithms in Distributed Systems.
Proceedings of the 10th International Conference on Parallel and Distributed Systems, 2004

Divisible Load Scheduling on Arbitrary Distributed Networks via Virtual Routing Approach.
Proceedings of the 10th International Conference on Parallel and Distributed Systems, 2004


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