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ORCIDHaitao Yuan 0001
苑海涛
Person information
- unicode name: 苑海涛
- affiliation: New Jersey Institute of Technology, USA
- affiliation: Beijing Jiaotong University, Beijing, China
Other persons with the same name
- Haitao Yuan — disambiguation page
- Haitao Yuan 0002
![[0000-0001-7403-2871]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7403-2871")
— Nanyang Technological University, Singtel Cognitive and Artificial Intelligence Lab for Enterprises, Singapore (and 1 more) - Haitao Yuan 0003 — Shanghai Ocean University, Shanghai, China
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2020 – today
- 2024
[j60]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: 121126 (2024)- [j59]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): 121807 (2024) - [j58]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: 122966 (2024) - [j57]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: 123896 (2024) - [j56]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): 12619-12630 (2024) - [j55]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): 16591-16603 (2024) - [j54]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): 16672-16683 (2024) - [j53]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): 18035-18046 (2024) - [j52]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): 20194-20206 (2024) - [j51]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): 22816-22829 (2024) - [j50]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): 26419-26429 (2024) - [j49]Haitao Yuan, Meijia Wang, Jing Bi, Shuyuan Shi, Jinhong Yang, Jia Zhang, MengChu Zhou, Rajkumar Buyya:
Cost-Efficient Task Offloading in Mobile Edge Computing With Layered Unmanned Aerial Vehicles. IEEE Internet Things J. 11(19): 30496-30509 (2024) - [j48]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): 2495-2506 (2024) - [c76]Ziqi Wang, Xiangxi Wu, Jing Bi, Haitao Yuan, Jia Zhang, MengChu Zhou:
Long-term Water Quality Prediction based on Intelligent Optimization and Seasonal-trend Decomposition. CASE 2024: 264-269 - [c75]Jing Bi, Lifeng Xu, Ziqi Wang, Haitao Yuan, Shichao Chen, Mu Gu, MengChu Zhou:
WaterTS: Integrating Enhanced Transformer, Sliding Block, and Channel Independence for Long-term Water Quality Prediction. CASE 2024: 270-275 - [c74]Boyuan Zhang, Rui Lai, Guanghong Gong, Haitao Yuan, Jinhong Yang, Jia Zhang, MengChu Zhou:
Large-scale Path Planning and Time Window Allocation in UAV-assisted Wireless Sensor Networks with Variational Multi-dimensional Optimization. CASE 2024: 3648-3653 - [c73]Ziqi Wang, Ziyue Guan, Xiangxi Wu, Jing Bi, Haitao Yuan, MengChu Zhou:
Multi-Classification Decision Fusion Based on Stacked Sparse Shrink AutoEncoder and GS-Tabnet for Network Intrusion Detection. CoDIT 2024: 2560-2565 - 2023
- [j47]Yunbo Gao, Guanghong Gong, Bipeng Ye, Xingyu Tian, Ni Li, Haitao Yuan:
Leveraging knowledge graph for domain-specific Chinese named entity recognition via lexicon-based relational graph transformer. Int. J. Bio Inspired Comput. 21(3): 148-162 (2023) - [j46]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): 11896-11909 (2023) - [j45]Jing Bi, Luyao Zhang, Haitao Yuan, Jia Zhang:
Multi-indicator water quality prediction with attention-assisted bidirectional LSTM and encoder-decoder. Inf. Sci. 625: 65-80 (2023) - [j44]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: 463-481 (2023) - [j43]Liwei Dong, Ni Li, Haitao Yuan, Guanghong Gong:
Accelerating wargaming reinforcement learning by dynamic multi-demonstrator ensemble. Inf. Sci. 648: 119534 (2023) - [j42]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): 232-244 (2023) - [j41]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): 375-384 (2023) - [c72]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: 7265-7271 - [c71]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: 7966-7972 - [c70]Ruixuan Wu, Yuliang Shi, Haitao Yuan, Jing Bi, Jia Zhang:
Energy-Optimized with Multi-Population Differential Annealed Optimization in Mobile Edge Computing. SMC 2023: 2289-2294 - [c69]Jing Bi, Ziyue Guan, Haitao Yuan, Jia Zhang:
Network Anomaly Detection with Stacked Sparse Shrink Autoencoders and Improved XGBoost. SMC 2023: 3104-3109 - [c68]Jiahui Zhai, Jing Bi, Haitao Yuan, Jia Zhang:
Cost-Effective and Dynamic Migration for Microservices in Hybrid Cloud-Edge Systems. SMC 2023: 3110-3115 - [c67]Haitao Yuan, Shen Wang, Jing Bi, Jia Zhang:
Deep and Spatio-Temporal Detection for Abnormal Traffic in Cloud Data Centers. SMC 2023: 4985-4990 - [c66]Haitao Yuan, Meijia Wang, Jing Bi, Jia Zhang:
Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems. SMC 2023: 4991-4996 - [c65]Jing Bi, Zhe Sun, Haitao Yuan, Jia Zhang:
Joint Optimization of Cache-Assisted Offloading and Resource Allocation in Mobile Edge Computing. SMC 2023: 4997-5002 - [c64]Jing Bi, Xiangdong Xue, Haitao Yuan, Jia Zhang:
Latency-Minimized Computation Offloading in Vehicle Fog Computing with Improved Whale Optimization Algorithm. SMC 2023: 5003-5008 - [c63]Jing Bi, Lifeng Xu, Haitao Yuan, Jia Zhang:
Web Traffic Anomaly Detection Using a Hybrid Spatio-temporal Neural Network. SMC 2023: 5009-5014 - [c62]Dian Xu, Mengchu Zhou, Haitao Yuan:
Autoencoder and Teaching-learning-based Optimizer for Mobile Edge Computing System Optimization Problems. SMC 2023: 5021-5026 - [c61]Jing Bi, Ziqi Wang, Haitao Yuan, Jia Zhang:
Cost-Minimized Partial Computation Offloading in Cloud-Assisted Mobile Edge Computing Systems. SMC 2023: 5052-5057 - [c60]Jing Bi, Yibo Li, Xingyang Chang, Haitao Yuan, Junfei Qiao:
Hybrid Water Quality Prediction with Frequency Domain Conversion Enhancement and Seasonal Decomposition. SMC 2023: 5200-5205 - [c59]Jing Bi, Mingxing Yuan, Haitao Yuan, Junfei Qiao:
Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation. SMC 2023: 5206-5211 - 2022
- [j40]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): 1284-1294 (2022) - [j39]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: 146-162 (2022) - [j38]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): 1233-1244 (2022) - [j37]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): 1869-1879 (2022) - [j36]Haitao Yuan, Jing Bi, MengChu Zhou:
Geography-Aware Task Scheduling for Profit Maximization in Distributed Green Data Centers. IEEE Trans. Cloud Comput. 10(3): 1864-1874 (2022) - [j35]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): 1941-1954 (2022) - [j34]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): 20046-20060 (2022) - [j33]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): 83:1-83:14 (2022) - [j32]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): 5506-5517 (2022) - [j31]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): 619-630 (2022) - [c58]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: 1059-1064 - [c57]Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma, Yonghui Xu, Lizhen Cui:
Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. CICAI (2) 2022: 438-449 - [c56]Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang:
Effective Few-Shot Named Entity Linking by Meta-Learning. ICDE 2022: 178-191 - [c55]Jing Bi, Haitao Yuan, Kangyuan Xu, Haisen Ma, MengChu Zhou:
Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks. ICRA 2022: 3865-3870 - [c54]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: 355-360 - [c53]Jing Bi, Ziyue Guan, Haitao Yuan:
Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-based Bidirectional LSTM. SMC 2022: 6-11 - [c52]Jing Bi, Chunhui Zhang, Haitao Yuan, Ziyue Guan, Junfei Qiao:
Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder. SMC 2022: 178-183 - [c51]Jing Bi, Kun Ni, Haitao Yuan, Junfei Qiao:
LBPSC: A Hybrid Prediction Model for Chinese Named Entity Recognition in Water Environment. SMC 2022: 223-228 - [c50]Jing Bi, Wenduo Gu, Haitao Yuan, Zhou Yu:
Latency-minimized Computation Offloading in Fog Computing with Hybrid Whale optimization. SMC 2022: 504-509 - [c49]Jing Bi, Kangyuan Xu, Haitao Yuan, MengChu Zhou:
A Hybrid Deep Learning Method for Network Attack Prediction. SMC 2022: 544-549 - [c48]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: 550-555 - [c47]Jing Bi, Zhou Yu, Haitao Yuan:
Cost-optimized Task Scheduling with Improved Deep Q-Learning in Green Data Centers. SMC 2022: 556-561 - [c46]Haitao Yuan, Qinglong Hu, Jing Bi:
Evolutionary Computational Offloading with Autoencoder in Large-scale Edge Computing. SMC 2022: 1121-1126 - [c45]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: 1419-1424 - [c44]Jiahui Zhai, Jing Bi, Haitao Yuan:
Collaborative Computation Offloading for Cost Minimization in Hybrid Computing Systems. SMC 2022: 1772-1777 - [c43]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: 1997-2002 - [c42]Jing Bi, Zichao Wang, Haitao Yuan, Kun Ni, Junfei Qiao:
Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks. SMC 2022: 2003-2008 - [c41]Jing Bi, Zexian Chen, Haitao Yuan, Yongze Lin, Junfei Qiao:
Hybrid Prediction for Water Quality with Bidirectional LSTM and Temporal Attention. SMC 2022: 2009-2014 - [c40]Jing Bi, Jun Zhang, Haitao Yuan, Junfei Qiao:
Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet. SMC 2022: 2551-2556 - [c39]Haitao Yuan, Qinglong Hu, Jing Bi:
Cost-minimized and Multi-plant Scheduling in Distributed Industrial Systems. SMC 2022: 2851-2856 - [i1]Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang:
Effective Few-Shot Named Entity Linking by Meta-Learning. CoRR abs/2207.05280 (2022) - 2021
- [j30]Jing Bi, Shuang Li, Haitao Yuan, MengChu Zhou:
Integrated deep learning method for workload and resource prediction in cloud systems. Neurocomputing 424: 35-48 (2021) - [j29]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): 3774-3785 (2021) - [j28]Jing Bi, Yongze Lin, QuanXi Dong, Haitao Yuan, MengChu Zhou:
Large-scale water quality prediction with integrated deep neural network. Inf. Sci. 571: 191-205 (2021) - [j27]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): 731-742 (2021) - [j26]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): 817-830 (2021) - [j25]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): 1277-1287 (2021) - [j24]Haitao Yuan, Jing Bi, Mengchu Zhou:
Temporal Task Scheduling of Multiple Delay-Constrained Applications in Green Hybrid Cloud. IEEE Trans. Serv. Comput. 14(5): 1558-1570 (2021) - [c38]Jing Bi, Wenduo Gu, Haitao Yuan:
Chaotic Lévy Whale Optimization Algorithm with Simulated Annealing and Differential Evolution. ICNSC 2021: 1-6 - [c37]Jing Bi, Wenduo Gu, Haitao Yuan:
Hybrid Whale Optimization Algorithm with Differential Evolution and Chaotic Map Operations. ICNSC 2021: 1-6 - [c36]Jing Bi, Jiahui Zhai, Haitao Yuan:
An Adaptive Hybrid Bat Algorithm with Genetic Operations and Dynamic Inertia Weight. ICNSC 2021: 1-6 - [c35]Yihan Wen, Qiuyue Zhang, Haitao Yuan, Jing Bi:
Multi-Stage PSO-Based Cost Minimization for Computation Offloading in Vehicular Edge Networks. ICNSC 2021: 1-6 - [c34]Jing Bi, Kaiyi Zhang, Haitao Yuan:
Workload and Renewable Energy Prediction in Cloud Data Centers with Multi-scale Wavelet Transformation. MED 2021: 506-511 - [c33]Jing Bi, Han Li, Haitao Yuan, Shuaifei Duanmu:
A Spatio-Temporal Prediction Method of Wind Energy in Green Cloud Data Centers. SMC 2021: 570-575 - [c32]Haitao Yuan, Jing Bi, Shuaifei Duanmu:
Cost Optimization for Partial Computation Offloading and Resource Allocation in Heterogeneous Mobile Edge Computing. SMC 2021: 3089-3094 - [c31]Jing Bi, Kaiyi Zhang, Haitao Yuan, Qinglong Hu:
Energy-Aware Task Offloading with Genetic Particle Swarm Optimization in Hybrid Edge Computing. SMC 2021: 3194-3199 - 2020
- [j23]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: 66448-66455 (2020) - [j22]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: 135513-135523 (2020) - [j21]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): 1380-1393 (2020) - [j20]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): 1097-1106 (2020) - [c30]Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang:
Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference. DASFAA (1) 2020: 369-385 - [c29]Haitao Yuan, Jing Bi, MengChu Zhou:
Energy Cost and Performance-Sensitive Bi-objective Scheduling of Tasks in Clouds. ICNSC 2020: 1-6 - [c28]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: 1-6 - [c27]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: 1-6 - [c26]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: 1-6 - [c25]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: 1206-1211 - [c24]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: 1212-1217 - [c23]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: 1218-1223
2010 – 2019
- 2019
- [j19]Jing Bi, Haitao Yuan, Libo Zhang, Jia Zhang:
SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers⁎. Inf. Sci. 481: 57-68 (2019) - [j18]Jing Bi, Haitao Yuan, Wei Tan:
Deadlock prevention for service orchestration via controlled Petri nets. J. Parallel Distributed Comput. 124: 92-105 (2019) - [j17]Jing Bi, Haitao Yuan, MengChu Zhou, Qing Liu:
Time-Dependent Cloud Workload Forecasting via Multi-Task Learning. IEEE Robotics Autom. Lett. 4(3): 2401-2406 (2019) - [j16]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): 729-740 (2019) - [j15]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): 1686-1697 (2019) - [j14]Jing Bi, Haitao Yuan, Mengchu Zhou:
Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds. IEEE Trans Autom. Sci. Eng. 16(4): 1763-1773 (2019) - [j13]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): 5404-5412 (2019) - [c22]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: 904-909 - [c21]Jing Bi, Shuang Li, Haitao Yuan, Ziyan Zhao, Haoyue Liu:
Deep Neural Networks for Predicting Task Time Series in Cloud Computing Systems. ICNSC 2019: 86-91 - [c20]Haitao Yuan, Jing Bi, MengChu Zhou:
Spatio-Temporal Scheduling of Heterogeneous Delay-Constrained Tasks in Geo-Distributed Green Clouds. ICNSC 2019: 287-292 - [c19]Haitao Yuan, Jing Bi, MengChu Zhou:
Temporal-Variation-Aware Profit-Maximized and Delay-Bounded Task Scheduling in Green Data Center. IDCS 2019: 203-212 - [c18]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: 293-302 - [c17]Haitao Yuan, Jing Bi:
Location-Sensitive Resource optimization for Profit Maximization in Distributed Data Centers. SMC 2019: 39-44 - [c16]Haitao Yuan, Jing Bi:
Profit-Aware Spatial Task Scheduling in Distributed Green Clouds. SMC 2019: 421-426 - [c15]QuanXi Dong, YongZhe Lin, Jing Bi, Haitao Yuan:
An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction. SMC 2019: 3537-3542 - 2018
- [j12]Haitao Yuan, Jing Bi