Jing Bi

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 149

Top Venues

SMC

ICNSC

IEEE Trans Autom. Sci. Eng.

CoRR

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)
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) (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)
Nguyen Manh Nguyen, Jing Bi, Ali Vosoughi, Yapeng Tian, Pooyan Fazli, Chenliang Xu
OSCaR: Object State Captioning and State Change Representation. CoRR (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)
Yunlong Tang, Daiki Shimada, Jing Bi, Chenliang Xu
AVicuna: Audio-Visual LLM with Interleaver and Context-Boundary Alignment for Temporal Referential Dialogue. CoRR (2024)
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) (2023)
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)
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)
Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu
Video Understanding with Large Language Models: A Survey. CoRR (2023)
Enjamamul Hoq, Osama Aljarrah, Jun Li, Jing Bi, Alfa R. H. Heryudono, Wenzhen Huang
Data-driven methods for stress field predictions in random heterogeneous materials. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Jing Bi, Lifeng Xu, Haitao Yuan, Jia Zhang
Web Traffic Anomaly Detection Using a Hybrid Spatio-temporal Neural Network. SMC (2023)
Jing Bi, Nguyen Manh Nguyen, Ali Vosoughi, Chenliang Xu
MISAR: A Multimodal Instructional System with Augmented Reality. CoRR (2023)
Jiahui Zhai, Jing Bi, Haitao Yuan, Jia Zhang
Cost-Effective and Dynamic Migration for Microservices in Hybrid Cloud-Edge Systems. SMC (2023)
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)
Rahil Mehrizi, Arash Mehrjou, Maryana Alegro, Yi Zhao, Benedetta Carbone, Carl Fishwick, Johanna Vappiani, Jing Bi, Siobhan Sanford, Hakan Keles, Marcus Bantscheff, Cuong Nguyen, Patrick Schwab
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning. CoRR (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)
Osama Aljarrah, Jun Li, Alfa R. H. Heryudono, Wenzhen Huang, Jing Bi
Predicting part distortion field in additive manufacturing: a data-driven framework. J. Intell. Manuf. 34 (4) (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)
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)
Jing Bi, Vorapong Suppakitpaisarn
Performances of Symmetric Loss for Private Data from Exponential Mechanism. CANDARW (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)
Jing Bi, Vorapong Suppakitpaisarn
Performances of Symmetric Loss for Private Data from Exponential Mechanism. CoRR (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)
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)
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) (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)
Nan Guo, Ke Gu, Junfei Qiao, Jing Bi
Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification. Neural Networks 140 (2021)
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)
Haitao Yuan, Jing Bi, Shuaifei Duanmu
Cost Optimization for Partial Computation Offloading and Resource Allocation in Heterogeneous Mobile Edge Computing. SMC (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)
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)
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 (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)
Jing Bi, Kaiyi Zhang, Haitao Yuan, Qinglong Hu
Energy-Aware Task Offloading with Genetic Particle Swarm Optimization in Hybrid Edge Computing. SMC (2021)
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) (2021)
Jing Bi, Jiebo Luo, Chenliang Xu
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning. ICCV (2021)
Jing Bi, Jiebo Luo, Chenliang Xu
Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning. CoRR (2021)
Jing Bi, Vikas Dhiman, Tianyou Xiao, Chenliang Xu
Learning from Interventions Using Hierarchical Policies for Safe Learning. AAAI (2020)
Jing Bi, Shoulin Yin, Hang Li, Lin Teng, Chu Zhao
Research on Medical Image Encryption Method Based on Improved Krill Herb Algorithm and Chaotic Systems. Int. J. Netw. Secur. 22 (3) (2020)
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)
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)
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)
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) (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)
Jing Shi, Jing Bi, Yingru Liu, Chenliang Xu
Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences. CoRR (2020)
Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu
A sparse deep belief network with efficient fuzzy learning framework. Neural Networks 121 (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)
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 (2019)
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) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jing Bi