Haitao Yuan
Orcid: 0000-0002-1510-9127Affiliations:
- New Jersey Institute of Technology, USA
- Beijing Jiaotong University, Beijing, China
According to our database1,
Haitao Yuan
authored at least 131 papers
between 2011 and 2024.
Collaborative distances:
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Bibliography
2024
An Improved LSTM-Based Prediction Approach for Resources and Workload in Large-Scale Data Centers.
IEEE Internet Things J., June, 2024
IEEE Internet Things J., June, 2024
Hybrid and Spatiotemporal Detection of Cyberattack Network Traffic in Cloud Data Centers.
IEEE Internet Things J., May, 2024
IEEE Internet Things J., May, 2024
Cost-Minimized Computation Offloading and User Association in Hybrid Cloud and Edge Computing.
IEEE Internet Things J., May, 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
Expert Syst. Appl., January, 2024
Multivariate Resource Usage Prediction With Frequency-Enhanced and Attention-Assisted Transformer in Cloud Computing Systems.
IEEE Internet Things J., 2024
Expert Syst. Appl., 2024
Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders.
Expert Syst. Appl., 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
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
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
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
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
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
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
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
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
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
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
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
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
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
IEEE Trans Autom. Sci. Eng., 2021
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
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
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
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
IEEE Robotics Autom. Lett., 2019
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
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
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
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
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
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
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
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
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017
Proceedings of the 23rd International Conference on Distributed Multimedia Systems, 2017
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
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
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
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
Proceedings of the IEEE International Conference on Cloud Computing, 2011