Haitao Yuan

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 121

Top Venues

SMC

ICNSC

IEEE Trans Autom. Sci. Eng.

IEEE Internet Things J.

Publications

Longbo Zhao, Haitao Yuan, Kangyuan Xu, Jing Bi, Bo Hu Li
Hybrid network attack prediction with Savitzky-Golay filter-assisted informer. Expert Syst. Appl. 235 (2024)
Haitao Yuan, Jing Bi, Ziqi Wang, Jinhong Yang, Jia Zhang
Partial and cost-minimized computation offloading in hybrid edge and cloud systems. Expert Syst. Appl. 250 (2024)
Jing Bi, Zexian Chen, Haitao Yuan, Jia Zhang
Accurate water quality prediction with attention-based bidirectional LSTM and encoder-decoder. Expert Syst. Appl. 238 (Part C) (2024)
Haitao Yuan, Jing Bi, Shuang Li, Jia Zhang, MengChu Zhou
An Improved LSTM-Based Prediction Approach for Resources and Workload in Large-Scale Data Centers. IEEE Internet Things J. 11 (12) (2024)
Jing Bi, Kangyuan Xu, Haitao Yuan, Jia Zhang, MengChu Zhou
Network Attack Prediction With Hybrid Temporal Convolutional Network and Bidirectional GRU. IEEE Internet Things J. 11 (7) (2024)
Haitao Yuan, Shen Wang, Jing Bi, Jia Zhang, MengChu Zhou
Hybrid and Spatiotemporal Detection of Cyberattack Network Traffic in Cloud Data Centers. IEEE Internet Things J. 11 (10) (2024)
Jing Bi, Ziqi Wang, Haitao Yuan, Jia Zhang, MengChu Zhou
Cost-Minimized Computation Offloading and User Association in Hybrid Cloud and Edge Computing. IEEE Internet Things J. 11 (9) (2024)
Haitao Yuan, Qinglong Hu, Jing Bi, Guanghong Gong, Jia Zhang, MengChu Zhou
Machine-Level Collaborative Manufacturing and Scheduling for Heterogeneous Plants. IEEE Internet Things J. 11 (9) (2024)
Jing Bi, Haitao Yuan, Shuang Li, Kaiyi Zhang, Jia Zhang, MengChu Zhou
ARIMA-Based and Multiapplication Workload Prediction With Wavelet Decomposition and Savitzky-Golay Filter in Clouds. IEEE Trans. Syst. Man Cybern. Syst. 54 (4) (2024)
Jing Bi, Ziyue Guan, Haitao Yuan, Jia Zhang
Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders. Expert Syst. Appl. 244 (2024)
Jing Bi, Haisen Ma, Haitao Yuan, Rajkumar Buyya, Jinhong Yang, Jia Zhang, MengChu Zhou
Multivariate Resource Usage Prediction With Frequency-Enhanced and Attention-Assisted Transformer in Cloud Computing Systems. IEEE Internet Things J. 11 (15) (2024)
Rui Lai, Boyuan Zhang, Guanghong Gong, Haitao Yuan, Jinhong Yang, Jia Zhang, Mengchu Zhou
Energy-Efficient Scheduling in UAV-Assisted Hierarchical Wireless Sensor Networks. IEEE Internet Things J. 11 (11) (2024)
Jing Bi, Ziqi Wang, Haitao Yuan, Jia Zhang, MengChu Zhou
Self-adaptive teaching-learning-based optimizer with improved RBF and sparse autoencoder for high-dimensional problems. Inf. Sci. 630 (2023)
Jing Bi, Xiangdong Xue, Haitao Yuan, Jia Zhang
Latency-Minimized Computation Offloading in Vehicle Fog Computing with Improved Whale Optimization Algorithm. SMC (2023)
Jing Bi, Kaiyi Zhang, Haitao Yuan, Jia Zhang
Energy-Efficient Computation Offloading for Static and Dynamic Applications in Hybrid Mobile Edge Cloud System. IEEE Trans. Sustain. Comput. 8 (2) (2023)
Liwei Dong, Ni Li, Haitao Yuan, Guanghong Gong
Accelerating wargaming reinforcement learning by dynamic multi-demonstrator ensemble. Inf. Sci. 648 (2023)
Jing Bi, Zhe Sun, Haitao Yuan, Jia Zhang
Joint Optimization of Cache-Assisted Offloading and Resource Allocation in Mobile Edge Computing. SMC (2023)
Jing Bi, Jiahui Zhai, Haitao Yuan, Ziqi Wang, Junfei Qiao, Jia Zhang, MengChu Zhou
Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems. ICRA (2023)
Haitao Yuan, Meijia Wang, Jing Bi, Jia Zhang
Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems. SMC (2023)
Haitao Yuan, Shen Wang, Jing Bi, Jia Zhang
Deep and Spatio-Temporal Detection for Abnormal Traffic in Cloud Data Centers. SMC (2023)
Jing Bi, Ziyue Guan, Haitao Yuan, Jia Zhang
Network Anomaly Detection with Stacked Sparse Shrink Autoencoders and Improved XGBoost. SMC (2023)
Jing Bi, Mingxing Yuan, Haitao Yuan, Junfei Qiao
Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation. SMC (2023)
Jing Bi, Haisen Ma, Haitao Yuan, Jia Zhang
Accurate Prediction of Workloads and Resources With Multi-Head Attention and Hybrid LSTM for Cloud Data Centers. IEEE Trans. Sustain. Comput. 8 (3) (2023)
Jing Bi, Lifeng Xu, Haitao Yuan, Jia Zhang
Web Traffic Anomaly Detection Using a Hybrid Spatio-temporal Neural Network. SMC (2023)
Dian Xu, Mengchu Zhou, Haitao Yuan
Autoencoder and Teaching-learning-based Optimizer for Mobile Edge Computing System Optimization Problems. SMC (2023)
Haitao Yuan, Qinglong Hu, Jing Bi, Jinhu Lü, Jia Zhang, Mengchu Zhou
Profit-Optimized Computation Offloading With Autoencoder-Assisted Evolution in Large-Scale Mobile-Edge Computing. IEEE Internet Things J. 10 (13) (2023)
Jing Bi, Yibo Li, Xingyang Chang, Haitao Yuan, Junfei Qiao
Hybrid Water Quality Prediction with Frequency Domain Conversion Enhancement and Seasonal Decomposition. SMC (2023)
Jing Bi, Luyao Zhang, Haitao Yuan, Jia Zhang
Multi-indicator water quality prediction with attention-assisted bidirectional LSTM and encoder-decoder. Inf. Sci. 625 (2023)
Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou
Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems. ICRA (2023)
Ruixuan Wu, Yuliang Shi, Haitao Yuan, Jing Bi, Jia Zhang
Energy-Optimized with Multi-Population Differential Annealed Optimization in Mobile Edge Computing. SMC (2023)
Jing Bi, Ziqi Wang, Haitao Yuan, Jia Zhang
Cost-Minimized Partial Computation Offloading in Cloud-Assisted Mobile Edge Computing Systems. SMC (2023)
Jing Bi, Wenduo Gu, Haitao Yuan, Zhou Yu
Latency-minimized Computation Offloading in Fog Computing with Hybrid Whale optimization. SMC (2022)
Kai Chen, Xiao Song, Haitao Yuan, Xiaoxiang Ren
Fully Convolutional Encoder-Decoder With an Attention Mechanism for Practical Pedestrian Trajectory Prediction. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Jing Bi, Kun Ni, Haitao Yuan, Junfei Qiao
LBPSC: A Hybrid Prediction Model for Chinese Named Entity Recognition in Water Environment. SMC (2022)
Jing Bi, Zhou Yu, Haitao Yuan
Cost-optimized Task Scheduling with Improved Deep Q-Learning in Green Data Centers. SMC (2022)
Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui
Is it fair? Resource allocation for differentiated services on demands. ICWS (2022)
Jing Bi, Haisen Ma, Haitao Yuan, Kangyuan Xu, MengChu Zhou
Adaptive Prediction of Resources and Workloads for Cloud Computing Systems with Attention-based and Hybrid LSTM. SMC (2022)
Jing Bi, Xiang Zhang, Haitao Yuan, Jia Zhang, MengChu Zhou
A Hybrid Prediction Method for Realistic Network Traffic With Temporal Convolutional Network and LSTM. IEEE Trans Autom. Sci. Eng. 19 (3) (2022)
Jiahui Zhai, Jing Bi, Haitao Yuan
Collaborative Computation Offloading for Cost Minimization in Hybrid Computing Systems. SMC (2022)
Yongze Lin, Junfei Qiao, Jing Bi, Haitao Yuan, Han Gao, MengChu Zhou
Hybrid Water Quality Prediction with Graph Attention and Spatio-Temporal Fusion. SMC (2022)
Jing Bi, Haitao Yuan, Jia Zhang, MengChu Zhou
Green Energy Forecast-Based Bi-Objective Scheduling of Tasks Across Distributed Clouds. IEEE Trans. Sustain. Comput. 7 (3) (2022)
Haitao Yuan, Qinglong Hu, Meijia Wang, Jing Bi, MengChu Zhou
Cost-minimized User Association and Partial Offloading for Dependent Tasks in Hybrid Cloud-edge Systems. CASE (2022)
Jing Bi, Chunhui Zhang, Haitao Yuan, Ziyue Guan, Junfei Qiao
Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder. SMC (2022)
Ahmed Chiheb Ammari, Wael Labidi, Faisal Mnif, Haitao Yuan, MengChu Zhou, Mohamed Sarrab
Firefly algorithm and learning-based geographical task scheduling for operational cost minimization in distributed green data centers. Neurocomputing 490 (2022)
Jing Bi, Zexian Chen, Haitao Yuan, Yongze Lin, Junfei Qiao
Hybrid Prediction for Water Quality with Bidirectional LSTM and Temporal Attention. SMC (2022)
Jing Bi, Zichao Wang, Haitao Yuan, Kun Ni, Junfei Qiao
Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks. SMC (2022)
Haitao Yuan, Qinglong Hu, Jing Bi
Evolutionary Computational Offloading with Autoencoder in Large-scale Edge Computing. SMC (2022)
Jing Bi, Ziyue Guan, Haitao Yuan
Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-based Bidirectional LSTM. SMC (2022)
Jing Bi, Haitao Yuan, Kangyuan Xu, Haisen Ma, MengChu Zhou
Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks. ICRA (2022)
Haitao Yuan, Jing Bi, Jia Zhang, MengChu Zhou
Energy Consumption and Performance Optimized Task Scheduling in Distributed Data Centers. IEEE Trans. Syst. Man Cybern. Syst. 52 (9) (2022)
Luyao Zhang, Jing Bi, Haitao Yuan, Jun Zhang, Junfei Qiao
Hybrid Water Quality Prediction with Bidirectional Long Short-Term Memory and Encoder-Decoder. SMC (2022)
Jing Bi, Kangyuan Xu, Haitao Yuan, MengChu Zhou
A Hybrid Deep Learning Method for Network Attack Prediction. SMC (2022)
Jing Bi, Haitao Yuan, Kaiyi Zhang, MengChu Zhou
Energy-Minimized Partial Computation Offloading for Delay-Sensitive Applications in Heterogeneous Edge Networks. IEEE Trans. Emerg. Top. Comput. 10 (4) (2022)
Jing Bi, Jun Zhang, Haitao Yuan, Junfei Qiao
Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet. SMC (2022)
Haitao Yuan, Jing Bi, MengChu Zhou
Geography-Aware Task Scheduling for Profit Maximization in Distributed Green Data Centers. IEEE Trans. Cloud Comput. 10 (3) (2022)
Jing Bi, Haitao Yuan, Jiahui Zhai, MengChu Zhou, H. Vincent Poor
Self-adaptive Bat Algorithm With Genetic Operations. IEEE CAA J. Autom. Sinica 9 (7) (2022)
Haitao Yuan, Jing Bi, MengChu Zhou
Energy-Efficient and QoS-Optimized Adaptive Task Scheduling and Management in Clouds. IEEE Trans Autom. Sci. Eng. 19 (2) (2022)
Haitao Yuan, Qinglong Hu, Jing Bi
Cost-minimized and Multi-plant Scheduling in Distributed Industrial Systems. SMC (2022)
Xiao Song, Kai Chen, Xiaoxiang Ren, Haitao Yuan
Pedestrian Trajectory Prediction in Heterogeneous Traffic using Facial Keypoints-based Convolutional Encoder-decoder Network. ACM Trans. Internet Techn. 22 (4) (2022)
Haitao Yuan, Jing Bi, MengChu Zhou, Qing Liu, Ahmed Chiheb Ammari
Biobjective Task Scheduling for Distributed Green Data Centers. IEEE Trans Autom. Sci. Eng. 18 (2) (2021)
Haitao Yuan, Heng Liu, Jing Bi, MengChu Zhou
Revenue and Energy Cost-Optimized Biobjective Task Scheduling for Green Cloud Data Centers. IEEE Trans Autom. Sci. Eng. 18 (2) (2021)
Jing Bi, Yongze Lin, QuanXi Dong, Haitao Yuan, MengChu Zhou
Large-scale water quality prediction with integrated deep neural network. Inf. Sci. 571 (2021)
Jing Bi, Shuang Li, Haitao Yuan, MengChu Zhou
Integrated deep learning method for workload and resource prediction in cloud systems. Neurocomputing 424 (2021)
Jing Bi, Wenduo Gu, Haitao Yuan
Hybrid Whale Optimization Algorithm with Differential Evolution and Chaotic Map Operations. ICNSC (2021)
Haitao Yuan, MengChu Zhou
Profit-Maximized Collaborative Computation Offloading and Resource Allocation in Distributed Cloud and Edge Computing Systems. IEEE Trans Autom. Sci. Eng. 18 (3) (2021)
Yihan Wen, Qiuyue Zhang, Haitao Yuan, Jing Bi
Multi-Stage PSO-Based Cost Minimization for Computation Offloading in Vehicular Edge Networks. ICNSC (2021)
Jing Bi, Jiahui Zhai, Haitao Yuan
An Adaptive Hybrid Bat Algorithm with Genetic Operations and Dynamic Inertia Weight. ICNSC (2021)
Haitao Yuan, Jing Bi, Mengchu Zhou
Temporal Task Scheduling of Multiple Delay-Constrained Applications in Green Hybrid Cloud. IEEE Trans. Serv. Comput. 14 (5) (2021)
Jing Bi, Wenduo Gu, Haitao Yuan
Chaotic Lévy Whale Optimization Algorithm with Simulated Annealing and Differential Evolution. ICNSC (2021)
Jing Bi, Kaiyi Zhang, Haitao Yuan
Workload and Renewable Energy Prediction in Cloud Data Centers with Multi-scale Wavelet Transformation. MED (2021)
Jing Bi, Haitao Yuan, Shuaifei Duanmu, MengChu Zhou, Abdullah Abusorrah
Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization. IEEE Internet Things J. 8 (5) (2021)
Jing Bi, Han Li, Haitao Yuan, Shuaifei Duanmu
A Spatio-Temporal Prediction Method of Wind Energy in Green Cloud Data Centers. SMC (2021)
Haitao Yuan, Jing Bi, MengChu Zhou
Profit-Sensitive Spatial Scheduling of Multi-Application Tasks in Distributed Green Clouds. IEEE Trans Autom. Sci. Eng. 17 (3) (2020)
Yang Fu, Zeyu Zheng, Mengchu Zhou, Haitao Yuan, Xiwang Guo
New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale. IEEE Access 8 (2020)
Jing Bi, Yongze Lin, QuanXi Dong, Haitao Yuan, MengChu Zhou
An Improved Attention-based LSTM for Multi-Step Dissolved Oxygen Prediction in Water Environment. ICNSC (2020)
Qingfeng Yao, Zeyu Zheng, Liang Qi, Haitao Yuan, Xiwang Guo, Ming Zhao, Zhi Liu, Tianji Yang
Path Planning Method With Improved Artificial Potential Field - A Reinforcement Learning Perspective. IEEE Access 8 (2020)
Xiaodong Huang, Lei Peng, Cheng Lu, Jing Bi, Haitao Yuan
A Deep Learning Approach to Large-Scale Light Curve Prediction and Real-Time Anomaly Detection with Grubbs Criterion. ICNSC (2020)
Haitao Yuan, MengChu Zhou, Qing Liu, Abdullah Abusorrah
Fine-grained resource provisioning and task scheduling for heterogeneous applications in distributed green clouds. IEEE CAA J. Autom. Sinica 7 (5) (2020)
Haitao Yuan, Jing Bi, MengChu Zhou, Jia Zhang, Wei Zhang
Fine-grained Task Scheduling in Cloud Data Centers Using Simulated-annealing-based Bees Algorithm. SMC (2020)
Shuang Li, Jing Bi, Haitao Yuan, MengChu Zhou, Jia Zhang
Improved LSTM-based Prediction Method for Highly Variable Workload and Resources in Clouds. SMC (2020)
Haitao Yuan, Jing Bi, MengChu Zhou
Energy Cost and Performance-Sensitive Bi-objective Scheduling of Tasks in Clouds. ICNSC (2020)
Haitao Yuan, Jing Bi, MengChu Zhou, Jia Zhang, Wei Zhang
Profit-Maximized Task Offloading with Simulated-annealing-based Migrating Birds Optimization in Hybrid Cloud-Edge Systems. SMC (2020)
Heng Liu, Xiaofen Zhang, Jing Bi, Haitao Yuan, MengChu Zhou
Bi-objective Intelligent Task Scheduling for Green Clouds with Deep Learning-based Prediction. ICNSC (2020)
Jing Bi, Haitao Yuan, Libo Zhang, Jia Zhang
. Inf. Sci. 481 (2019)
Jing Bi, Haitao Yuan, Mengchu Zhou
Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds. IEEE Trans Autom. Sci. Eng. 16 (4) (2019)
Jing Bi, Shuang Li, Haitao Yuan, Ziyan Zhao, Haoyue Liu
Deep Neural Networks for Predicting Task Time Series in Cloud Computing Systems. ICNSC (2019)
Haitao Yuan, Jing Bi, MengChu Zhou
Spatio-Temporal Scheduling of Heterogeneous Delay-Constrained Tasks in Geo-Distributed Green Clouds. ICNSC (2019)
Haitao Yuan, Jing Bi, MengChu Zhou
Spatial Task Scheduling for Cost Minimization in Distributed Green Cloud Data Centers. IEEE Trans Autom. Sci. Eng. 16 (2) (2019)
Huizhang Luo, Dan Huang, Qing Liu, Zhenbo Qiao, Hong Jiang, Jing Bi, Haitao Yuan, Mengchu Zhou, Jinzhen Wang, Zhenlu Qin
Identifying Latent Reduced Models to Precondition Lossy Compression. IPDPS (2019)
Jing Bi, Haitao Yuan, MengChu Zhou, Qing Liu
Time-Dependent Cloud Workload Forecasting via Multi-Task Learning. IEEE Robotics Autom. Lett. 4 (3) (2019)
Haitao Yuan, Jing Bi, MengChu Zhou
Multiqueue Scheduling of Heterogeneous Tasks With Bounded Response Time in Hybrid Green IaaS Clouds. IEEE Trans. Ind. Informatics 15 (10) (2019)
Jing Bi, Haitao Yuan, Wei Tan
Deadlock prevention for service orchestration via controlled Petri nets. J. Parallel Distributed Comput. 124 (2019)
Haitao Yuan, Jing Bi, MengChu Zhou
Spatiotemporal Task Scheduling for Heterogeneous Delay-Tolerant Applications in Distributed Green Data Centers. IEEE Trans Autom. Sci. Eng. 16 (4) (2019)
Haitao Yuan, Jing Bi
Location-Sensitive Resource optimization for Profit Maximization in Distributed Data Centers. SMC (2019)
Haitao Yuan, Jing Bi, MengChu Zhou
Temporal-Variation-Aware Profit-Maximized and Delay-Bounded Task Scheduling in Green Data Center. IDCS (2019)
QuanXi Dong, YongZhe Lin, Jing Bi, Haitao Yuan
An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction. SMC (2019)
Haitao Yuan, Jing Bi
Profit-Aware Spatial Task Scheduling in Distributed Green Clouds. SMC (2019)
Haitao Yuan, Jing Bi, MengChu Zhou
QoS and Profit Aware Task Scheduling with Simulated-Annealing-Based Bi-Objective Differential Evolution in Green Clouds. CASE (2019)
Haitao Yuan, Jing Bi, MengChu Zhou, Ahmed Chiheb Ammari
Time-Aware Multi-Application Task Scheduling With Guaranteed Delay Constraints in Green Data Center. IEEE Trans Autom. Sci. Eng. 15 (3) (2018)
Jing Bi, Libo Zhang, Haitao Yuan, MengChu Zhou
Hybrid task prediction based on wavelet decomposition and ARIMA model in cloud data center. ICNSC (2018)

Haitao Yuan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Haitao Yuan