Jing Bi

About Jing Bi

Jing Bi, With an exceptional h-index of 32 and a recent h-index of 29 (since 2020), a distinguished researcher at Beijing University of Technology, specializes in the field of Cloud Computing, Big Data, Distributed Computing, Green Energy.

His recent articles reflect a diverse array of research interests and contributions to the field:

Predicting Water Quality With Non-stationarity: Event-Triggered Deep Fuzzy Neural Network

Machine-Level Collaborative Manufacturing and Scheduling for Heterogeneous Plants

An Improved LSTM-Based Prediction Approach for Resources and Workload in Large-scale Data Centers

Cost-Minimized Computation Offloading and User Association in Hybrid Cloud and Edge Computing

Accurate water quality prediction with attention-based bidirectional LSTM and encoder–decoder

Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders

ARIMA-Based and Multiapplication Workload Prediction With Wavelet Decomposition and Savitzky–Golay Filter in Clouds

Attention-Based Spatiotemporal Graph Fusion Convolution Networks for Water Quality Prediction

Jing Bi Information

University

Position

Associate Professor (BJUT)

Citations(all)

3278

Citations(since 2020)

2722

Cited By

1397

hIndex(all)

32

hIndex(since 2020)

29

i10Index(all)

58

i10Index(since 2020)

50

Email

University Profile Page

Beijing University of Technology

Google Scholar

View Google Scholar Profile

Jing Bi Skills & Research Interests

Cloud Computing

Big Data

Distributed Computing

Green Energy

Top articles of Jing Bi

Title

Journal

Author(s)

Publication Date

Predicting Water Quality With Non-stationarity: Event-Triggered Deep Fuzzy Neural Network

IEEE Transactions on Fuzzy Systems

Gongming Wang

Hong Chen

Honggui Han

Jing Bi

Junfei Qiao

...

2024/1/29

Machine-Level Collaborative Manufacturing and Scheduling for Heterogeneous Plants

IEEE Internet of Things Journal

Haitao Yuan

Qinglong Hu

Jing Bi

Guanghong Gong

Jia Zhang

...

2024/1/16

An Improved LSTM-Based Prediction Approach for Resources and Workload in Large-scale Data Centers

IEEE Internet of Things Journal

Haitao Yuan

Jing Bi

Shuang Li

Jia Zhang

MengChu Zhou

2024/4/2

Cost-Minimized Computation Offloading and User Association in Hybrid Cloud and Edge Computing

IEEE Internet of Things Journal

Jing Bi

Ziqi Wang

Haitao Yuan

Jia Zhang

MengChu Zhou

2024/1/16

Accurate water quality prediction with attention-based bidirectional LSTM and encoder–decoder

Expert Systems with Applications

Jing Bi

Zexian Chen

Haitao Yuan

Jia Zhang

2024/3/15

Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders

Expert Systems with Applications

Jing Bi

Ziyue Guan

Haitao Yuan

Jia Zhang

2024/6/15

ARIMA-Based and Multiapplication Workload Prediction With Wavelet Decomposition and Savitzky–Golay Filter in Clouds

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Jing Bi

Haitao Yuan

Shuang Li

Kaiyi Zhang

Jia Zhang

...

2024/1/10

Attention-Based Spatiotemporal Graph Fusion Convolution Networks for Water Quality Prediction

IEEE Transactions on Automation Science and Engineering

Junfei Qiao

Yongze Lin

Jing Bi

Haitao Yuan

Gongming Wang

...

2024/3/12

Hybrid network attack prediction with Savitzky–Golay filter-assisted informer

Expert Systems with Applications

Longbo Zhao

Haitao Yuan

Kangyuan Xu

Jing Bi

Bo Hu Li

2024/1/1

Network Anomaly Detection with Stacked Sparse Shrink Variational Autoencoders and Unbalanced XGBoost

Jing Bi

Ziyue Guan

Haitao Yuan

Jia Zhang

2023/10/1

Hybrid and Spatiotemporal Detection of Cyberattack Network Traffic in Cloud Data Centers

IEEE Internet of Things Journal

Haitao Yuan

Shen Wang

Jing Bi

Jia Zhang

MengChu Zhou

2024/2/13

Partial and cost-minimized computation offloading in hybrid edge and cloud systems

Expert Systems with Applications

Haitao Yuan

Jing Bi

Ziqi Wang

Jinhong Yang

Jia Zhang

2024/4/6

Intelligent Path Planning for Mobile Robots Based on SAC Algorithm

Journal of System Simulation

Laiyi Yang

Jing Bi

Haitao Yuan

2023

Energy-minimized Partial Computation Offloading in Cloud-assisted Vehicular Edge Computing Systems

Ziqi Wang

Xinyang Li

Jiayi Wang

Jiahui Zhai

Shichao Chen

...

2023/10/25

Cost-Minimized Partial Computation Offloading in Cloud-Assisted Mobile Edge Computing Systems

Jing Bi

Ziqi Wang

Haitao Yuan

Jia Zhang

2023/10/1

Self-adaptive teaching-learning-based optimizer with improved RBF and sparse autoencoder for high-dimensional problems

Information Sciences

MengChu Zhou Jing Bi

Ziqi Wang

Haitao Yuan

Jia Zhang

2023/6

Energy-Optimized with Multi-Population Differential Annealed Optimization in Mobile Edge Computing

Ruixuan Wu

Yuliang Shi

Haitao Yuan

Jing Bi

Jia Zhang

2023/10/1

Latency-Minimized Computation Offloading in Vehicle Fog Computing with Improved Whale Optimization Algorithm

Jing Bi

Xiangdong Xue

Haitao Yuan

Jia Zhang

2023/10/1

Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems

Jing Bi

Jiahui Zhai

Haitao Yuan

Ziqi Wang

Junfei Qiao

...

2023/5/29

Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation

Jing Bi

Mingxing Yuan

Haitao Yuan

Junfei Qiao

2023/10/1

See List of Professors in Jing Bi University(Beijing University of Technology)

Co-Authors

H-index: 129
MengChu Zhou

MengChu Zhou

New Jersey Institute of Technology

H-index: 94
Zhihui Du

Zhihui Du

New Jersey Institute of Technology

H-index: 29
Haitao Yuan (苑海涛)

Haitao Yuan (苑海涛)

New Jersey Institute of Technology

H-index: 19
Keman Huang

Keman Huang

Massachusetts Institute of Technology

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