Haitao Yuan

Orcid: 0000-0002-1510-9127

Affiliations:
  • New Jersey Institute of Technology, USA
  • Beijing Jiaotong University, Beijing, China


According to our database1, Haitao Yuan authored at least 123 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
ARIMA-Based and Multiapplication Workload Prediction With Wavelet Decomposition and Savitzky-Golay Filter in Clouds.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Network Attack Prediction With Hybrid Temporal Convolutional Network and Bidirectional GRU.
IEEE Internet Things J., April, 2024

Accurate water quality prediction with attention-based bidirectional LSTM and encoder-decoder.
Expert Syst. Appl., March, 2024

Hybrid network attack prediction with Savitzky-Golay filter-assisted informer.
Expert Syst. Appl., January, 2024

2023
Accelerating wargaming reinforcement learning by dynamic multi-demonstrator ensemble.
Inf. Sci., November, 2023

Profit-Optimized Computation Offloading With Autoencoder-Assisted Evolution in Large-Scale Mobile-Edge Computing.
IEEE Internet Things J., July, 2023

Self-adaptive teaching-learning-based optimizer with improved RBF and sparse autoencoder for high-dimensional problems.
Inf. Sci., June, 2023

Multi-indicator water quality prediction with attention-assisted bidirectional LSTM and encoder-decoder.
Inf. Sci., May, 2023

Energy-Efficient Computation Offloading for Static and Dynamic Applications in Hybrid Mobile Edge Cloud System.
IEEE Trans. Sustain. Comput., 2023

Accurate Prediction of Workloads and Resources With Multi-Head Attention and Hybrid LSTM for Cloud Data Centers.
IEEE Trans. Sustain. Comput., 2023

Leveraging knowledge graph for domain-specific Chinese named entity recognition via lexicon-based relational graph transformer.
Int. J. Bio Inspired Comput., 2023

Cost-Effective and Dynamic Migration for Microservices in Hybrid Cloud-Edge Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Autoencoder and Teaching-learning-based Optimizer for Mobile Edge Computing System Optimization Problems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Energy-Optimized with Multi-Population Differential Annealed Optimization in Mobile Edge Computing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Web Traffic Anomaly Detection Using a Hybrid Spatio-temporal Neural Network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Latency-Minimized Computation Offloading in Vehicle Fog Computing with Improved Whale Optimization Algorithm.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Cost-Minimized Partial Computation Offloading in Cloud-Assisted Mobile Edge Computing Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Joint Optimization of Cache-Assisted Offloading and Resource Allocation in Mobile Edge Computing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Hybrid Water Quality Prediction with Frequency Domain Conversion Enhancement and Seasonal Decomposition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Network Anomaly Detection with Stacked Sparse Shrink Autoencoders and Improved XGBoost.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Deep and Spatio-Temporal Detection for Abnormal Traffic in Cloud Data Centers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Pedestrian Trajectory Prediction in Heterogeneous Traffic using Facial Keypoints-based Convolutional Encoder-decoder Network.
ACM Trans. Internet Techn., November, 2022

Green Energy Forecast-Based Bi-Objective Scheduling of Tasks Across Distributed Clouds.
IEEE Trans. Sustain. Comput., 2022

Energy Consumption and Performance Optimized Task Scheduling in Distributed Data Centers.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Fully Convolutional Encoder-Decoder With an Attention Mechanism for Practical Pedestrian Trajectory Prediction.
IEEE Trans. Intell. Transp. Syst., 2022

Energy-Minimized Partial Computation Offloading for Delay-Sensitive Applications in Heterogeneous Edge Networks.
IEEE Trans. Emerg. Top. Comput., 2022

Geography-Aware Task Scheduling for Profit Maximization in Distributed Green Data Centers.
IEEE Trans. Cloud Comput., 2022

Energy-Efficient and QoS-Optimized Adaptive Task Scheduling and Management in Clouds.
IEEE Trans Autom. Sci. Eng., 2022

A Hybrid Prediction Method for Realistic Network Traffic With Temporal Convolutional Network and LSTM.
IEEE Trans Autom. Sci. Eng., 2022

Firefly algorithm and learning-based geographical task scheduling for operational cost minimization in distributed green data centers.
Neurocomputing, 2022

Self-adaptive Bat Algorithm With Genetic Operations.
IEEE CAA J. Autom. Sinica, 2022

Hybrid Water Quality Prediction with Bidirectional Long Short-Term Memory and Encoder-Decoder.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Collaborative Computation Offloading for Cost Minimization in Hybrid Computing Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Cost-minimized and Multi-plant Scheduling in Distributed Industrial Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Evolutionary Computational Offloading with Autoencoder in Large-scale Edge Computing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Hybrid Water Quality Prediction with Graph Attention and Spatio-Temporal Fusion.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Cost-optimized Task Scheduling with Improved Deep Q-Learning in Green Data Centers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

A Hybrid Deep Learning Method for Network Attack Prediction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

LBPSC: A Hybrid Prediction Model for Chinese Named Entity Recognition in Water Environment.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Adaptive Prediction of Resources and Workloads for Cloud Computing Systems with Attention-based and Hybrid LSTM.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Latency-minimized Computation Offloading in Fog Computing with Hybrid Whale optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-based Bidirectional LSTM.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Hybrid Prediction for Water Quality with Bidirectional LSTM and Temporal Attention.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Is it fair? Resource allocation for differentiated services on demands.
Proceedings of the IEEE International Conference on Web Services, 2022

Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Effective Few-Shot Named Entity Linking by Meta-Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Cost-minimized User Association and Partial Offloading for Dependent Tasks in Hybrid Cloud-edge Systems.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Temporal Task Scheduling of Multiple Delay-Constrained Applications in Green Hybrid Cloud.
IEEE Trans. Serv. Comput., 2021

Profit-Maximized Collaborative Computation Offloading and Resource Allocation in Distributed Cloud and Edge Computing Systems.
IEEE Trans Autom. Sci. Eng., 2021

Revenue and Energy Cost-Optimized Biobjective Task Scheduling for Green Cloud Data Centers.
IEEE Trans Autom. Sci. Eng., 2021

Biobjective Task Scheduling for Distributed Green Data Centers.
IEEE Trans Autom. Sci. Eng., 2021

Large-scale water quality prediction with integrated deep neural network.
Inf. Sci., 2021

Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization.
IEEE Internet Things J., 2021

Integrated deep learning method for workload and resource prediction in cloud systems.
Neurocomputing, 2021

Cost Optimization for Partial Computation Offloading and Resource Allocation in Heterogeneous Mobile Edge Computing.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Energy-Aware Task Offloading with Genetic Particle Swarm Optimization in Hybrid Edge Computing.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A Spatio-Temporal Prediction Method of Wind Energy in Green Cloud Data Centers.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Workload and Renewable Energy Prediction in Cloud Data Centers with Multi-scale Wavelet Transformation.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Multi-Stage PSO-Based Cost Minimization for Computation Offloading in Vehicular Edge Networks.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

An Adaptive Hybrid Bat Algorithm with Genetic Operations and Dynamic Inertia Weight.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Hybrid Whale Optimization Algorithm with Differential Evolution and Chaotic Map Operations.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Chaotic Lévy Whale Optimization Algorithm with Simulated Annealing and Differential Evolution.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

2020
Profit-Sensitive Spatial Scheduling of Multi-Application Tasks in Distributed Green Clouds.
IEEE Trans Autom. Sci. Eng., 2020

Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds.
IEEE CAA J. Autom. Sinica, 2020

Path Planning Method With Improved Artificial Potential Field - A Reinforcement Learning Perspective.
IEEE Access, 2020

New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale.
IEEE Access, 2020

Profit-Maximized Task Offloading with Simulated-annealing-based Migrating Birds Optimization in Hybrid Cloud-Edge Systems.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Fine-grained Task Scheduling in Cloud Data Centers Using Simulated-annealing-based Bees Algorithm.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Improved LSTM-based Prediction Method for Highly Variable Workload and Resources in Clouds.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Bi-objective Intelligent Task Scheduling for Green Clouds with Deep Learning-based Prediction.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

A Deep Learning Approach to Large-Scale Light Curve Prediction and Real-Time Anomaly Detection with Grubbs Criterion.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

An Improved Attention-based LSTM for Multi-Step Dissolved Oxygen Prediction in Water Environment.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Energy Cost and Performance-Sensitive Bi-objective Scheduling of Tasks in Clouds.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Multiqueue Scheduling of Heterogeneous Tasks With Bounded Response Time in Hybrid Green IaaS Clouds.
IEEE Trans. Ind. Informatics, 2019

Spatiotemporal Task Scheduling for Heterogeneous Delay-Tolerant Applications in Distributed Green Data Centers.
IEEE Trans Autom. Sci. Eng., 2019

Spatial Task Scheduling for Cost Minimization in Distributed Green Cloud Data Centers.
IEEE Trans Autom. Sci. Eng., 2019

Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds.
IEEE Trans Autom. Sci. Eng., 2019

Time-Dependent Cloud Workload Forecasting via Multi-Task Learning.
IEEE Robotics Autom. Lett., 2019

Deadlock prevention for service orchestration via controlled Petri nets.
J. Parallel Distributed Comput., 2019

SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers<sup>⁎</sup>.
Inf. Sci., 2019

Profit-Aware Spatial Task Scheduling in Distributed Green Clouds.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Location-Sensitive Resource optimization for Profit Maximization in Distributed Data Centers.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Identifying Latent Reduced Models to Precondition Lossy Compression.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Temporal-Variation-Aware Profit-Maximized and Delay-Bounded Task Scheduling in Green Data Center.
Proceedings of the Internet and Distributed Computing Systems, 2019

Spatio-Temporal Scheduling of Heterogeneous Delay-Constrained Tasks in Geo-Distributed Green Clouds.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

Deep Neural Networks for Predicting Task Time Series in Cloud Computing Systems.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

QoS and Profit Aware Task Scheduling with Simulated-Annealing-Based Bi-Objective Differential Evolution in Green Clouds.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
NPIY : A novel partitioner for improving mapreduce performance.
J. Vis. Lang. Comput., 2018

Time-Aware Multi-Application Task Scheduling With Guaranteed Delay Constraints in Green Data Center.
IEEE Trans Autom. Sci. Eng., 2018

Real-time and short-term anomaly detection for GWAC light curves.
Comput. Ind., 2018

WARM: Workload-Aware Multi-Application Task Scheduling for Revenue Maximization in SDN-Based Cloud Data Center.
IEEE Access, 2018

Geographical Scheduling of Multi-application Tasks for Cost Minimization in Distributed Green Data Centers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Hybrid task prediction based on wavelet decomposition and ARIMA model in cloud data center.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018

Workload Forecasting with Hybrid Stochastic Configuration Networks in Clouds.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

An Improved Dro-Based Recurrent Neural Networks for Large-Scale Light Curve Time Series Prediction.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

Temporal Task Scheduling for Delay-Constrained Applications in Geo-Distributed Cloud Data Centers.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds.
IEEE Trans. Cybern., 2017

Temporal Task Scheduling With Constrained Service Delay for Profit Maximization in Hybrid Clouds.
IEEE Trans Autom. Sci. Eng., 2017

Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center.
IEEE Trans Autom. Sci. Eng., 2017

Cost-aware request routing in multi-geography cloud data centres using software-defined networking.
Enterp. Inf. Syst., 2017

Cost-sensitive task routing and resource provisioning in geo-distributed clouds.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

Temporal request scheduling for energy-efficient cloud data centers.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

Improving MapReduce Performance By Using A New Partitioner In YARN.
Proceedings of the 23rd International Conference on Distributed Multimedia Systems, 2017

Revenue-sensitive scheduling of multi-application tasks in software-defined cloud.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

Workload-Aware Revenue Maximization in SDN-Enabled Data Center.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
CAWSAC: Cost-Aware Workload Scheduling and Admission Control for Distributed Cloud Data Centers.
IEEE Trans Autom. Sci. Eng., 2016

TRS: Temporal Request Scheduling with bounded delay assurance in a green cloud data center.
Inf. Sci., 2016

A Petri Net Method for Compatibility Enforcement to Support Service Choreography.
IEEE Access, 2016

2015
SLA-based optimisation of virtualised resource for multi-tier web applications in cloud data centres.
Enterp. Inf. Syst., 2015

Dynamic Fine-Grained Resource Provisioning for Heterogeneous Applications in Virtualized Cloud Data Center.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
An Approach to Optimized Resource Allocation for Cloud Simulation Platform.
Proceedings of the AsiaSim 2014, 2014

2011
A Petri Net Based Hybrid Optimal Controller for Deadlock Prevention in Web Service Composition.
Proceedings of the IEEE International Conference on Web Services, 2011

SLA Based Dynamic Virtualized Resources Provisioning for Shared Cloud Data Centers.
Proceedings of the IEEE International Conference on Cloud Computing, 2011


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