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ORCIDJing Bi 0001
Person information
- affiliation: Beijing University of Technology, School of Software Engineering, Beijing, China
- affiliation: New Jersey Institute of Technology, Department of Electrical and Computer Engineering, Newark, NJ
- affiliation: Tsinghua University, Department of Automation, Beijing, China
- affiliation (PhD 2011): Northeastern University, Shenyang, China
Other persons with the same name
- Jing Bi — disambiguation page
- Jing Bi 0002
![[0009-0006-8235-2158]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0006-8235-2158")
— Univeristy of Rochester, Rochester, NY, USA - Jing Bi 0003 — Shenyang Normal University, Software College, Shenyang, China
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2020 – today
- 2025
[j72]Jing Bi, Siyu Niu, Haitao Yuan, Mengyuan Wang, Jiahui Zhai, Jia Zhang, MengChu Zhou:
Energy-Minimized Partial Computation Offloading in Satellite-Terrestrial Edge Computing Networks. IEEE Internet Things J. 12(5): 5931-5944 (2025)- [j71]Yongze Lin, Junfei Qiao, Jing Bi, Haitao Yuan, Mengyuan Wang, Jia Zhang, MengChu Zhou:
Transformer-Based Water Quality Forecasting With Dual Patch and Trend Decomposition. IEEE Internet Things J. 12(8): 10987-10997 (2025) - [j70]Haitao Yuan, Qinglong Hu, Shen Wang, Jing Bi, Rajkumar Buyya, Jinhu Lü, Jinhong Yang, Jia Zhang, MengChu Zhou:
Cost-Optimized Task Offloading for Dependent Applications in Collaborative Edge and Cloud Computing. IEEE Internet Things J. 12(9): 12975-12988 (2025) - [j69]Junfei Qiao, Yongze Lin, Jing Bi, Haitao Yuan, Gongming Wang, MengChu Zhou:
Attention-Based Spatiotemporal Graph Fusion Convolution Networks for Water Quality Prediction. IEEE Trans Autom. Sci. Eng. 22: 1-10 (2025) - [j68]Jing Bi, Mingxing Yuan, Haitao Yuan, Jun-Fei Qiao, Jia Zhang, MengChu Zhou:
Large-Scale Water Quality Prediction With Deep Decomposition Architecture and Auto-Correlation. IEEE Trans Autom. Sci. Eng. 22: 9240-9251 (2025) - [j67]Jing Bi, Ziqi Wang, Haitao Yuan, Xiangxi Wu, Renren Wu, Jia Zhang, MengChu Zhou:
Long-Term Water Quality Prediction With Transformer-Based Spatial-Temporal Graph Fusion. IEEE Trans Autom. Sci. Eng. 22: 11392-11404 (2025) - [j66]Jing Bi, Ziyue Guan, Haitao Yuan, Jinhong Yang, Jia Zhang:
Network Anomaly Detection With Stacked Sparse Shrink Variational Autoencoders and Unbalanced XGBoost. IEEE Trans. Sustain. Comput. 10(1): 28-38 (2025) - 2024
- [j65]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) - [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]Jiahui Zhai, Jing Bi, Haitao Yuan, Mengyuan Wang, Jia Zhang, Yebing Wang, MengChu Zhou:
Cost-Minimized Microservice Migration With Autoencoder-Assisted Evolution in Hybrid Cloud and Edge Computing Systems. IEEE Internet Things J. 11(24): 40951-40967 (2024) - [j53]Gongming Wang, Hong Chen, Honggui Han, Jing Bi, Junfei Qiao, Erfan Babaee Tirkolaee:
Predicting Water Quality With Nonstationarity: Event-Triggered Deep Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 32(5): 2690-2699 (2024) - [j52]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) - [c99]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 - [c98]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 - [c97]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 - [c96]Meijia Wang, Haitao Yuan, Zhenwei Kuang, Hanbo Ma, Jing Bi, Jia Zhang, MengChu Zhou:
Network Traffic Prediction with Decomposition and Multi-Scale Autocorrelation in Large-Scale Cloud Data Centers. ICNSC 2024: 1-6 - [c95]Xiangxi Wu, Ziqi Wang, Yibo Li, Jing Bi, Haitao Yuan:
Long-term Water Quality Prediction Based on Multimodal Fusion and Temporal 2D-variation. ICNSC 2024: 1-6 - [c94]Meifang Zhang, Ziqi Wang, Jing Bi, Haitao Yuan:
Data-Driven Modeling and Working Condition Prediction in Process Industry Production. ICNSC 2024: 1-6 - [c93]Haitao Yuan, Shen Wang, Yaofei Ma, Jing Bi, Jinhong Yang, Jia Zhang, MengChu Zhou:
Energy-Optimized Offloading of Delay-Sensitive Tasks in Hybrid Edge-Cloud Computing. SMC 2024: 197-202 - [c92]Jing Bi, Ziqi Wang, Haitao Yuan, Jinhong Yang, Jia Zhang:
Surrogate-Assisted Multi-Class Collaborative Teaching and Learning Optimizer for High-Dimensional Industrial Optimization Problems. SMC 2024: 386-391 - [c91]Haitao Yuan, Meijia Wang, Jing Bi, Jia Zhang, MengChu Zhou:
Energy-Optimized Computation Offloading with Improved Differential Evolution in UAV-Enabled Edge and Cloud Computing. SMC 2024: 605-610 - [c90]Jingyao Li, Haitao Yuan, Yaofei Ma, Jing Bi, Jinhong Yang, Jia Zhang:
Low-Latency and Energy-Efficient Task Scheduling for End-Edge-Cloud Collaborative Computing. SMC 2024: 611-616 - [c89]Haitao Yuan, Qinglong Hu, Jing Bi, Wei Zhang, Jia Zhang, MengChu Zhou:
Data-Enhanced Prediction with Decomposition and Amplitude-Aware Permutation Entropy in Distributed Computing Systems. SMC 2024: 617-622 - [c88]Haitao Yuan, Ziyue Zheng, Jing Bi, Jia Zhang, MengChu Zhou:
Energy-Optimized Task Offloading with Genetic Simulated-Annealing-Based PSO for Heterogeneous Edge and Cloud Computing. SMC 2024: 647-652 - [c87]Jiahui Zhai, Jing Bi, Haitao Yuan, Jinhong Yang, Jia Zhang, MengChu Zhou:
Energy-Efficient and Latency-Optimized Computation Offloading with Improved MOEA for Industrial Internet of Things. SMC 2024: 852-857 - [c86]Jing Bi, Xiangshuai Cheng, Haitao Yuan, Siyu Niu, Jiahui Zhai:
Resource Allocation and Trajectory Optimization in Unmanned Aerial Vehicle-assisted Mobile Edge Computing. SMC 2024: 858-863 - [c85]Jing Bi, Yibo Li, Xuan Zhang, Haitao Yuan, Ziqi Wang, Jia Zhang, MengChu Zhou:
Multi-Indicator Water Quality Prediction Using Multimodal Bottleneck Fusion and ITransformer with Attention. SMC 2024: 2367-2372 - [c84]Jing Bi, Xinmin Zhou, Haitao Yuan, Jia Zhang, Mengchu Zhou:
Energy and Time-Optimized Task Scheduling with Simulated-Annealing-Based Firefly Algorithm in Hybrid Cloud Edge Computing. SMC 2024: 3514-3519 - [c83]Jing Bi, Siyu Niu, Haitao Yuan, Jiahui Zhai, Jia Zhang, MengChu Zhou:
Mobility and Privacy-aware Computation Offloading with Energy Harvesting in MEC-enabled Networks. SMC 2024: 3553-3558 - [c82]Jing Bi, Ming Yuan, Haitao Yuan, Ziqi Wang, Junfei Qiao:
Water Quality Anomaly Detection with Dual Sliding Windows and Convolutional LSTM. SMC 2024: 3559-3564 - [c81]Jing Bi, Danqing Chen, Haitao Yuan:
Graph Attention Transformer with Dilated Causal Convolution and Laplacian Eigenvectors for Long-term Water Quality Prediction. SMC 2024: 3571-3576 - [c80]Jing Bi, Caiheng Yue, Haitao Yuan, Jiahui Zhai, Jia Zhang, MengChu Zhou:
An Evolutionary Framework with Improved Variance-Stabilized Multi-Objective Proximal Policy Optimization and NSGA-II. SMC 2024: 3733-3738 - [c79]Jing Bi, Rina Wu, Haitao Yuan, Ziqi Wang, Jia Zhang, MengChu Zhou:
Ontology Mapping-Based Semantic Reasoning with OPC UA for Heterogeneous Industrial Devices. SMC 2024: 4674-4679 - [c78]Yongze Lin, Junfei Qiao, Jing Bi, Haitao Yuan, Jiahui Zhai, MengChu Zhou:
Long-Term Water Quality Prediction with Patch Savitsky-Golay Filtering and Transformer. SMC 2024: 4827-4832 - 2023
- [j51]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) - [j50]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) - [j49]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) - [j48]Gongming Wang, Jing Bi, Qing-Shan Jia, Junfei Qiao, Lei Wang:
Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 19(5): 6398-6407 (2023) - [j47]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) - [j46]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) - [c77]Ziqi Wang, Xinyang Li, Jiayi Wang, Jiahui Zhai, Shichao Chen, Jing Bi:
Energy-minimized Partial Computation Offloading in Cloud-assisted Vehicular Edge Computing Systems. ICNSC 2023: 1-6 - [c76]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 - [c75]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 - [c74]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 - [c73]Jing Bi, Ziyue Guan, Haitao Yuan, Jia Zhang:
Network Anomaly Detection with Stacked Sparse Shrink Autoencoders and Improved XGBoost. SMC 2023: 3104-3109 - [c72]Jiahui Zhai, Jing Bi, Haitao Yuan, Jia Zhang:
Cost-Effective and Dynamic Migration for Microservices in Hybrid Cloud-Edge Systems. SMC 2023: 3110-3115 - [c71]Haitao Yuan, Shen Wang, Jing Bi, Jia Zhang:
Deep and Spatio-Temporal Detection for Abnormal Traffic in Cloud Data Centers. SMC 2023: 4985-4990 - [c70]Haitao Yuan, Meijia Wang, Jing Bi, Jia Zhang:
Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems. SMC 2023: 4991-4996 - [c69]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 - [c68]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 - [c67]Jing Bi, Lifeng Xu, Haitao Yuan, Jia Zhang:
Web Traffic Anomaly Detection Using a Hybrid Spatio-temporal Neural Network. SMC 2023: 5009-5014 - [c66]Jing Bi, Ziqi Wang, Haitao Yuan, Jia Zhang:
Cost-Minimized Partial Computation Offloading in Cloud-Assisted Mobile Edge Computing Systems. SMC 2023: 5052-5057 - [c65]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 - [c64]Jing Bi, Mingxing Yuan, Haitao Yuan, Junfei Qiao:
Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation. SMC 2023: 5206-5211 - 2022
- [j45]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao, Abdullah Abusorrah:
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review. Artif. Intell. Rev. 55(1): 565-587 (2022) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]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) - [c63]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 - [c62]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 - [c61]Jing Bi, Ziyue Guan, Haitao Yuan:
Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-based Bidirectional LSTM. SMC 2022: 6-11 - [c60]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 - [c59]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 - [c58]Jing Bi, Wenduo Gu, Haitao Yuan, Zhou Yu:
Latency-minimized Computation Offloading in Fog Computing with Hybrid Whale optimization. SMC 2022: 504-509 - [c57]Jing Bi, Kangyuan Xu, Haitao Yuan, MengChu Zhou:
A Hybrid Deep Learning Method for Network Attack Prediction. SMC 2022: 544-549 - [c56]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 - [c55]Jing Bi, Zhou Yu, Haitao Yuan:
Cost-optimized Task Scheduling with Improved Deep Q-Learning in Green Data Centers. SMC 2022: 556-561 - [c54]Haitao Yuan, Qinglong Hu, Jing Bi:
Evolutionary Computational Offloading with Autoencoder in Large-scale Edge Computing. SMC 2022: 1121-1126 - [c53]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 - [c52]Jiahui Zhai, Jing Bi, Haitao Yuan:
Collaborative Computation Offloading for Cost Minimization in Hybrid Computing Systems. SMC 2022: 1772-1777 - [c51]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 - [c50]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 - [c49]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 - [c48]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 - [c47]Haitao Yuan, Qinglong Hu, Jing Bi:
Cost-minimized and Multi-plant Scheduling in Distributed Industrial Systems. SMC 2022: 2851-2856 - 2021
- [j37]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) - [j36]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao:
Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning. Neurocomputing 436: 103-113 (2021) - [j35]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) - [j34]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) - [j33]Nan Guo, Ke Gu, Junfei Qiao, Jing Bi:
Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification. Neural Networks 140: 158-166 (2021) - [j32]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) - [j31]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) - [j30]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, MengChu Zhou:
Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3643-3652 (2021) - [j29]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) - [c46]Jing Bi, Wenduo Gu, Haitao Yuan:
Chaotic Lévy Whale Optimization Algorithm with Simulated Annealing and Differential Evolution. ICNSC 2021: 1-6 - [c45]Jing Bi, Wenduo Gu, Haitao Yuan:
Hybrid Whale Optimization Algorithm with Differential Evolution and Chaotic Map Operations. ICNSC 2021: 1-6 - [c44]Jing Bi, Jiahui Zhai, Haitao Yuan:
An Adaptive Hybrid Bat Algorithm with Genetic Operations and Dynamic Inertia Weight. ICNSC 2021: 1-6 - [c43]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 - [c42]Jing Bi, Kaiyi Zhang, Haitao Yuan:
Workload and Renewable Energy Prediction in Cloud Data Centers with Multi-scale Wavelet Transformation. MED 2021: 506-511 - [c41]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 - [c40]Haitao Yuan, Jing Bi, Shuaifei Duanmu:
Cost Optimization for Partial Computation Offloading and Resource Allocation in Heterogeneous Mobile Edge Computing. SMC 2021: 3089-3094 - [c39]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
- [j28]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu:
A sparse deep belief network with efficient fuzzy learning framework. Neural Networks 121: 430-440 (2020) - [j27]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) - [j26]Gongming Wang, Junfei Qiao, Jing Bi, Qing-Shan Jia, MengChu Zhou:
An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4217-4228 (2020) - [c38]Haitao Yuan, Jing Bi, MengChu Zhou:
Energy Cost and Performance-Sensitive Bi-objective Scheduling of Tasks in Clouds. ICNSC 2020: 1-6 - [c37]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 - [c36]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 - [c35]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 - [c34]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 - [c33]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 - [c32]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
- [j25]Lijuan Tang, Kezheng Sun, Jing Bi, Jiheng Wang:
Feature comparison and analysis for new challenging research fields of image quality assessment. Digit. Signal Process. 91: 3-10 (2019) - [j24]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) - [j23]Jing Bi, Haitao Yuan, Wei Tan:
Deadlock prevention for service orchestration via controlled Petri nets. J. Parallel Distributed Comput. 124: 92-105 (2019) - [j22]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) - [j21]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) - [j20]Gongming Wang, Junfei Qiao, Jing Bi, Wenjing Li, MengChu Zhou:
TL-GDBN: Growing Deep Belief Network With Transfer Learning. IEEE Trans Autom. Sci. Eng. 16(2): 874-885 (2019) - [j19]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) - [j18]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) - [j17]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) - [c31]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 - [c30]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 - [c29]Haitao Yuan, Jing Bi, MengChu Zhou:
Spatio-Temporal Scheduling of Heterogeneous Delay-Constrained Tasks in Geo-Distributed Green Clouds. ICNSC 2019: 287-292 - [c28]Haitao Yuan, Jing Bi, MengChu Zhou:
Temporal-Variation-Aware Profit-Maximized and Delay-Bounded Task Scheduling in Green Data Center. IDCS 2019: 203-212 - [c27]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 - [c26]Haitao Yuan, Jing Bi:
Location-Sensitive Resource optimization for Profit Maximization in Distributed Data Centers. SMC 2019: 39-44 - [c25]Haitao Yuan, Jing Bi:
Profit-Aware Spatial Task Scheduling in Distributed Green Clouds. SMC 2019: 421-426 - [c24]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 - [c23]Gongming Wang, Junfei Qiao, Jing Bi, Mengchu Zhou:
An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling. SMC 2019: 3549-3554 - 2018
- [j16]Haitao Yuan, Jing Bi, Mengchu Zhou, Khaled Sedraoui:
WARM: Workload-Aware Multi-Application Task Scheduling for Revenue Maximization in SDN-Based Cloud Data Center. IEEE Access 6: 645-657 (2018) - [j15]Jing Bi, Tianzhi Feng, Haitao Yuan:
Real-time and short-term anomaly detection for GWAC light curves. Comput. Ind. 97: 76-84 (2018) - [j14]Bing Bai, Yushun Fan, Wei Tan, Jia Zhang, Keman Huang, Jing Bi:
End-to-End Web Service Recommendations by Extending Collaborative Topic Regression. Int. J. Web Serv. Res. 15(1): 89-112 (2018) - [j13]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): 1138-1151 (2018) - [c22]Jing Bi, Haitao Yuan, Jia Zhang, MengChu Zhou:
Temporal Task Scheduling for Delay-Constrained Applications in Geo-Distributed Cloud Data Centers. IEEE CLOUD 2018: 138-145 - [c21]Libo Zhang, Jing Bi, Haitao Yuan:
Workload Forecasting with Hybrid Stochastic Configuration Networks in Clouds. CCIS 2018: 112-116 - [c20]Cheng Lu, Lei Peng, Jing Bi, Haitao Yuan:
An Improved Dro-Based Recurrent Neural Networks for Large-Scale Light Curve Time Series Prediction. CCIS 2018: 117-121 - [c19]Jing Bi, Libo Zhang, Haitao Yuan, MengChu Zhou:
Hybrid task prediction based on wavelet decomposition and ARIMA model in cloud data center. ICNSC 2018: 1-6 - [c18]Jing Bi, Haitao Yuan, Mengchu Zhou:
Geographical Scheduling of Multi-application Tasks for Cost Minimization in Distributed Green Data Centers. SMC 2018: 3171-3176 - 2017
- [j12]Jianqiang Li, Ji-Jiang Yang, Yu Zhao, Bo Liu, Mengchu Zhou, Jing Bi, Qing Wang:
Enforcing Differential Privacy for Shared Collaborative Filtering. IEEE Access 5: 35-49 (2017) - [j11]Haitao Yuan, Jing Bi, Bo Hu Li, Wei Tan:
Cost-aware request routing in multi-geography cloud data centres using software-defined networking. Enterp. Inf. Syst. 11(3): 359-388 (2017) - [j10]Xiao Song, Ziping Xie, Yan Xu, Gary Tan, Wenjie Tang, Jing Bi, Xiaosong Li:
Supporting real-world network-oriented mesoscopic traffic simulation on GPU. Simul. Model. Pract. Theory 74: 46-63 (2017) - [j9]Haitao Yuan, Jing Bi, Wei Tan, Bo Hu Li:
Temporal Task Scheduling With Constrained Service Delay for Profit Maximization in Hybrid Clouds. IEEE Trans Autom. Sci. Eng. 14(1): 337-348 (2017) - [j8]Jing Bi, Haitao Yuan, Wei Tan, MengChu Zhou, Yushun Fan, Jia Zhang, Jianqiang Li:
Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center. IEEE Trans Autom. Sci. Eng. 14(2): 1172-1184 (2017) - [j7]Haitao Yuan, Jing Bi, Wei Tan, MengChu Zhou, Bo Hu Li, Jianqiang Li:
TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds. IEEE Trans. Cybern. 47(11): 3658-3668 (2017) - [c17]Haitao Yuan, Jing Bi, Jia Zhang, Wei Tan, Keman Huang:
Workload-Aware Revenue Maximization in SDN-Enabled Data Center. CLOUD 2017: 18-25 - [c16]Tianzhi Feng, Zhihui Du, Yankui Sun, Jianyan Wei, Jing Bi, Jason Liu:
Real-Time Anomaly Detection of Short-Time-Scale GWAC Survey Light Curves. BigData Congress 2017: 224-231 - [c15]Haitao Yuan, Jing Bi, MengChu Zhou:
Revenue-sensitive scheduling of multi-application tasks in software-defined cloud. CASE 2017: 1566-1571 - [c14]Jing Bi, Haitao Yuan, Junfei Qiao, MengChu Zhou, Xiao Song:
Temporal request scheduling for energy-efficient cloud data centers. ICNSC 2017: 180-185 - [c13]Haitao Yuan, Jing Bi, MengChu Zhou:
Cost-sensitive task routing and resource provisioning in geo-distributed clouds. ICNSC 2017: 507-512 - 2016
- [j6]Jing Bi, Haitao Yuan, Mengchu Zhou:
A Petri Net Method for Compatibility Enforcement to Support Service Choreography. IEEE Access 4: 8581-8592 (2016) - [j5]Ji-Jiang Yang, Jianqiang Li, Ruifang Shen, Yang Zeng, Jian He, Jing Bi, Yong Li, Qinyan Zhang, Lihui Peng, Qing Wang:
Exploiting ensemble learning for automatic cataract detection and grading. Comput. Methods Programs Biomed. 124: 45-57 (2016) - [j4]Jing Bi, Haitao Yuan, Wei Tan, Bo Hu Li:
TRS: Temporal Request Scheduling with bounded delay assurance in a green cloud data center. Inf. Sci. 360: 57-72 (2016) - [j3]Yayu Ni, Yushun Fan, Wei Tan, Keman Huang, Jing Bi:
NCSR: Negative-Connection-Aware Service Recommendation for Large Sparse Service Network. IEEE Trans Autom. Sci. Eng. 13(2): 579-590 (2016) - [j2]Haitao Yuan, Jing Bi, Wei Tan, Bo Hu Li:
CAWSAC: Cost-Aware Workload Scheduling and Admission Control for Distributed Cloud Data Centers. IEEE Trans Autom. Sci. Eng. 13(2): 976-985 (2016) - [c12]Bo Liu, Jianqiang Li, Ji-Jiang Yang, Jing Bi, Rong Li, Yong Li:
Pattern Recognition for Large-Scale and Incremental Time Series in Healthcare. COMPSAC Workshops 2016: 653-658 - [c11]Meng Tian, Jianqiang Li, Ji-Jiang Yang, Bo Liu, Xi Meng, Rong Li, Jing Bi:
Exploiting collaborative learning for concept extraction in the medical field. ICCIP 2016: 1-5 - [c10]Jingchao Sun, Lu Liu, Jianqiang Li, Ji-Jiang Yang, Shi Chen, Qing Wang, Mengchu Zhou, Rong Li, Bo Liu, Jing Bi:
A data-driven approach to predict Small-for-Gestational-Age infants. ICNSC 2016: 1-6 - 2015
- [j1]Jing Bi, Haitao Yuan, Ming Tie, Wei Tan:
SLA-based optimisation of virtualised resource for multi-tier web applications in cloud data centres. Enterp. Inf. Syst. 9(7): 743-767 (2015) - [c9]Jing Bi, Haitao Yuan, Yushun Fan, Wei Tan, Jia Zhang:
Dynamic Fine-Grained Resource Provisioning for Heterogeneous Applications in Virtualized Cloud Data Center. CLOUD 2015: 429-436 - [c8]Meng Tian, Jianqiang Li, Xi Meng, Rong Li, Jing Bi, Juan Li, Yu Zhao, Bo Liu:
A Topic-Level Privacy Preserving Search in the Medical Field. SmartCity 2015: 1139-1142 - 2014
- [c7]Haitao Yuan, Jing Bi, Bo Hu Li, Xudong Chai:
An Approach to Optimized Resource Allocation for Cloud Simulation Platform. AsiaSim 2014: 139-152 - [c6]Yayu Ni, Yushun Fan, Keman Huang, Jing Bi, Wei Tan:
Negative-Connection-Aware Tag-Based Association Mining and Service Recommendation. ICSOC 2014: 419-428 - 2011
- [c5]Zhiliang Zhu, Jing Bi, Haitao Yuan, Ying Chen:
SLA Based Dynamic Virtualized Resources Provisioning for Shared Cloud Data Centers. IEEE CLOUD 2011: 630-637 - [c4]Jing Bi, Zhiliang Zhu, Haitao Yuan, Yushun Fan, Ming Tie:
A Petri Net Based Hybrid Optimal Controller for Deadlock Prevention in Web Service Composition. ICWS 2011: 718-719 - 2010
- [c3]Jing Bi, Zhiliang Zhu, Ruixiong Tian, Qingbo Wang:
Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center. IEEE CLOUD 2010: 370-377 - [c2]Jingqi Wei, Dancheng Li, Jun Na, Jing Bi, Zhiliang Zhu, Ying Chen:
Web Service Publication and Discovery Architecture Based on JXTA. ICSS 2010: 383-387
2000 – 2009
- 2007
- [c1]Ming Tie, Jing Bi, Yushun Fan:
Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process. ISNN (1) 2007: 609-617
Coauthor Index
[j72] [j71] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j52] [c99] [c98] [c97] [c95] [c94] [c92] [c91] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [j51] [j50] [j49] [j47] [j46] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [j37] [j35] [j34] [j32] [j31] [j29] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [j27] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [j24] [j23] [j22] [j21] [j19] [j18] [j17] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [j16] [j15] [j13] [c22] [c21] [c20] [c19] [c18] [j11] [j9] [j8] [j7] [c17] [c15] [c14] [c13] [j6] [j4] [j2] [j1] [c9] [c7] [c5] [c4]
[j72] [j71] [j70] [j68] [j67] [j66] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j52] [c99] [c96] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c85] [c84] [c83] [c80] [c79] [j51] [j50] [j49] [j47] [j46] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [j42] [j39] [j38] [c34] [c33] [c32] [j24] [j14] [c22] [j8] [c17] [c9]
MengChu Zhou
aka: Mengchu Zhou
aka: Mengchu Zhou
[j72] [j71] [j70] [j69] [j68] [j67] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j52] [c99] [c98] [c97] [c96] [c93] [c91] [c89] [c88] [c87] [c85] [c84] [c83] [c80] [c79] [c78] [j51] [j49] [c76] [c75] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [c63] [c62] [c57] [c56] [c53] [j37] [j36] [j35] [j34] [j32] [j31] [j30] [j29] [j27] [j26] [c38] [c37] [c35] [c34] [c33] [c32] [j22] [j21] [j20] [j19] [j18] [j17] [c31] [c29] [c28] [c27] [c23] [j16] [j13] [c22] [c19] [c18] [j12] [j8] [j7] [c15] [c14] [c13] [j6] [c10]
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