Jing Bi

Orcid: 0000-0002-4610-0141

According to our database1, Jing Bi authored at least 156 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
ARIMA-Based and Multiapplication Workload Prediction With Wavelet Decomposition and Savitzky-Golay Filter in Clouds.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024

Network Attack Prediction With Hybrid Temporal Convolutional Network and Bidirectional GRU.
IEEE Internet Things J., April, 2024

Accurate water quality prediction with attention-based bidirectional LSTM and encoder-decoder.
Expert Syst. Appl., March, 2024

Hybrid network attack prediction with Savitzky-Golay filter-assisted informer.
Expert Syst. Appl., January, 2024

AVicuna: Audio-Visual LLM with Interleaver and Context-Boundary Alignment for Temporal Referential Dialogue.
CoRR, 2024

OSCaR: Object State Captioning and State Change Representation.
CoRR, 2024

2023
Profit-Optimized Computation Offloading With Autoencoder-Assisted Evolution in Large-Scale Mobile-Edge Computing.
IEEE Internet Things J., July, 2023

Self-adaptive teaching-learning-based optimizer with improved RBF and sparse autoencoder for high-dimensional problems.
Inf. Sci., June, 2023

Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process.
IEEE Trans. Ind. Informatics, May, 2023

Multi-indicator water quality prediction with attention-assisted bidirectional LSTM and encoder-decoder.
Inf. Sci., May, 2023

Predicting part distortion field in additive manufacturing: a data-driven framework.
J. Intell. Manuf., April, 2023

Energy-Efficient Computation Offloading for Static and Dynamic Applications in Hybrid Mobile Edge Cloud System.
IEEE Trans. Sustain. Comput., 2023

Accurate Prediction of Workloads and Resources With Multi-Head Attention and Hybrid LSTM for Cloud Data Centers.
IEEE Trans. Sustain. Comput., 2023

Data-driven methods for stress field predictions in random heterogeneous materials.
Eng. Appl. Artif. Intell., 2023

Video Understanding with Large Language Models: A Survey.
CoRR, 2023

MISAR: A Multimodal Instructional System with Augmented Reality.
CoRR, 2023

Multi-omics Prediction from High-content Cellular Imaging with Deep Learning.
CoRR, 2023

Cost-Effective and Dynamic Migration for Microservices in Hybrid Cloud-Edge Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Energy-Optimized with Multi-Population Differential Annealed Optimization in Mobile Edge Computing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Web Traffic Anomaly Detection Using a Hybrid Spatio-temporal Neural Network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Latency-Minimized Computation Offloading in Vehicle Fog Computing with Improved Whale Optimization Algorithm.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Cost-Minimized Partial Computation Offloading in Cloud-Assisted Mobile Edge Computing Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Joint Optimization of Cache-Assisted Offloading and Resource Allocation in Mobile Edge Computing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Hybrid Water Quality Prediction with Frequency Domain Conversion Enhancement and Seasonal Decomposition.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Network Anomaly Detection with Stacked Sparse Shrink Autoencoders and Improved XGBoost.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Towards Energy-Efficient Scheduling of UAV-Enabled Mobile Edge Computing Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Deep and Spatio-Temporal Detection for Abnormal Traffic in Cloud Data Centers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Energy-minimized Partial Computation Offloading in Cloud-assisted Vehicular Edge Computing Systems.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

2022
Green Energy Forecast-Based Bi-Objective Scheduling of Tasks Across Distributed Clouds.
IEEE Trans. Sustain. Comput., 2022

Energy Consumption and Performance Optimized Task Scheduling in Distributed Data Centers.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Energy-Minimized Partial Computation Offloading for Delay-Sensitive Applications in Heterogeneous Edge Networks.
IEEE Trans. Emerg. Top. Comput., 2022

Geography-Aware Task Scheduling for Profit Maximization in Distributed Green Data Centers.
IEEE Trans. Cloud Comput., 2022

Energy-Efficient and QoS-Optimized Adaptive Task Scheduling and Management in Clouds.
IEEE Trans Autom. Sci. Eng., 2022

A Hybrid Prediction Method for Realistic Network Traffic With Temporal Convolutional Network and LSTM.
IEEE Trans Autom. Sci. Eng., 2022

Self-adaptive Bat Algorithm With Genetic Operations.
IEEE CAA J. Autom. Sinica, 2022

Artificial neural networks for water quality soft-sensing in wastewater treatment: a review.
Artif. Intell. Rev., 2022

Hybrid Water Quality Prediction with Bidirectional Long Short-Term Memory and Encoder-Decoder.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Collaborative Computation Offloading for Cost Minimization in Hybrid Computing Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Cost-minimized and Multi-plant Scheduling in Distributed Industrial Systems.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Evolutionary Computational Offloading with Autoencoder in Large-scale Edge Computing.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Hybrid Water Quality Prediction with Graph Attention and Spatio-Temporal Fusion.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Cost-optimized Task Scheduling with Improved Deep Q-Learning in Green Data Centers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

A Hybrid Deep Learning Method for Network Attack Prediction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

LBPSC: A Hybrid Prediction Model for Chinese Named Entity Recognition in Water Environment.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Adaptive Prediction of Resources and Workloads for Cloud Computing Systems with Attention-based and Hybrid LSTM.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Latency-minimized Computation Offloading in Fog Computing with Hybrid Whale optimization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Hybrid Network Intrusion Detection with Stacked Sparse Contractive Autoencoders and Attention-based Bidirectional LSTM.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Hybrid Prediction for Water Quality with Bidirectional LSTM and Temporal Attention.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Large-scale Network Traffic Prediction With LSTM and Temporal Convolutional Networks.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Performances of Symmetric Loss for Private Data from Exponential Mechanism.
Proceedings of the 2022 Tenth International Symposium on Computing and Networking, CANDAR 2022, 2022

Cost-minimized User Association and Partial Offloading for Dependent Tasks in Hybrid Cloud-edge Systems.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Temporal Task Scheduling of Multiple Delay-Constrained Applications in Green Hybrid Cloud.
IEEE Trans. Serv. Comput., 2021

Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System.
IEEE Trans. Neural Networks Learn. Syst., 2021

Revenue and Energy Cost-Optimized Biobjective Task Scheduling for Green Cloud Data Centers.
IEEE Trans Autom. Sci. Eng., 2021

Biobjective Task Scheduling for Distributed Green Data Centers.
IEEE Trans Autom. Sci. Eng., 2021

Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification.
Neural Networks, 2021

Large-scale water quality prediction with integrated deep neural network.
Inf. Sci., 2021

Energy-Optimized Partial Computation Offloading in Mobile-Edge Computing With Genetic Simulated-Annealing-Based Particle Swarm Optimization.
IEEE Internet Things J., 2021

Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning.
Neurocomputing, 2021

Integrated deep learning method for workload and resource prediction in cloud systems.
Neurocomputing, 2021

Cost Optimization for Partial Computation Offloading and Resource Allocation in Heterogeneous Mobile Edge Computing.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Energy-Aware Task Offloading with Genetic Particle Swarm Optimization in Hybrid Edge Computing.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A Spatio-Temporal Prediction Method of Wind Energy in Green Cloud Data Centers.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Workload and Renewable Energy Prediction in Cloud Data Centers with Multi-scale Wavelet Transformation.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021

Multi-Stage PSO-Based Cost Minimization for Computation Offloading in Vehicular Edge Networks.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

An Adaptive Hybrid Bat Algorithm with Genetic Operations and Dynamic Inertia Weight.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Hybrid Whale Optimization Algorithm with Differential Evolution and Chaotic Map Operations.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Chaotic Lévy Whale Optimization Algorithm with Simulated Annealing and Differential Evolution.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021

Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines.
IEEE Trans. Neural Networks Learn. Syst., 2020

Profit-Sensitive Spatial Scheduling of Multi-Application Tasks in Distributed Green Clouds.
IEEE Trans Autom. Sci. Eng., 2020

A sparse deep belief network with efficient fuzzy learning framework.
Neural Networks, 2020

Research on Medical Image Encryption Method Based on Improved Krill Herb Algorithm and Chaotic Systems.
Int. J. Netw. Secur., 2020

Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences.
CoRR, 2020

Profit-Maximized Task Offloading with Simulated-annealing-based Migrating Birds Optimization in Hybrid Cloud-Edge Systems.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Fine-grained Task Scheduling in Cloud Data Centers Using Simulated-annealing-based Bees Algorithm.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Improved LSTM-based Prediction Method for Highly Variable Workload and Resources in Clouds.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Bi-objective Intelligent Task Scheduling for Green Clouds with Deep Learning-based Prediction.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

A Deep Learning Approach to Large-Scale Light Curve Prediction and Real-Time Anomaly Detection with Grubbs Criterion.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

An Improved Attention-based LSTM for Multi-Step Dissolved Oxygen Prediction in Water Environment.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Energy Cost and Performance-Sensitive Bi-objective Scheduling of Tasks in Clouds.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

Learning from Interventions Using Hierarchical Policies for Safe Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multiqueue Scheduling of Heterogeneous Tasks With Bounded Response Time in Hybrid Green IaaS Clouds.
IEEE Trans. Ind. Informatics, 2019

Spatiotemporal Task Scheduling for Heterogeneous Delay-Tolerant Applications in Distributed Green Data Centers.
IEEE Trans Autom. Sci. Eng., 2019

Spatial Task Scheduling for Cost Minimization in Distributed Green Cloud Data Centers.
IEEE Trans Autom. Sci. Eng., 2019

TL-GDBN: Growing Deep Belief Network With Transfer Learning.
IEEE Trans Autom. Sci. Eng., 2019

Temporal Prediction of Multiapplication Consolidated Workloads in Distributed Clouds.
IEEE Trans Autom. Sci. Eng., 2019

Time-Dependent Cloud Workload Forecasting via Multi-Task Learning.
IEEE Robotics Autom. Lett., 2019

Deadlock prevention for service orchestration via controlled Petri nets.
J. Parallel Distributed Comput., 2019

SGW-SCN: An integrated machine learning approach for workload forecasting in geo-distributed cloud data centers<sup>⁎</sup>.
Inf. Sci., 2019

Feature comparison and analysis for new challenging research fields of image quality assessment.
Digit. Signal Process., 2019

Profit-Aware Spatial Task Scheduling in Distributed Green Clouds.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Location-Sensitive Resource optimization for Profit Maximization in Distributed Data Centers.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

An Integrated Deep Neural Network Approach for Large-Scale Water Quality Time Series Prediction.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Identifying Latent Reduced Models to Precondition Lossy Compression.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Temporal-Variation-Aware Profit-Maximized and Delay-Bounded Task Scheduling in Green Data Center.
Proceedings of the Internet and Distributed Computing Systems, 2019

Spatio-Temporal Scheduling of Heterogeneous Delay-Constrained Tasks in Geo-Distributed Green Clouds.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

Deep Neural Networks for Predicting Task Time Series in Cloud Computing Systems.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

QoS and Profit Aware Task Scheduling with Simulated-Annealing-Based Bi-Objective Differential Evolution in Green Clouds.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Time-Aware Multi-Application Task Scheduling With Guaranteed Delay Constraints in Green Data Center.
IEEE Trans Autom. Sci. Eng., 2018

End-to-End Web Service Recommendations by Extending Collaborative Topic Regression.
Int. J. Web Serv. Res., 2018

Navigation by Imitation in a Pedestrian-Rich Environment.
CoRR, 2018

Real-time and short-term anomaly detection for GWAC light curves.
Comput. Ind., 2018

WARM: Workload-Aware Multi-Application Task Scheduling for Revenue Maximization in SDN-Based Cloud Data Center.
IEEE Access, 2018

Geographical Scheduling of Multi-application Tasks for Cost Minimization in Distributed Green Data Centers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Medical Image Annotation Based on Deep Transfer Learning.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

A New Graph Semi-Supervised Learning Method for Medical Image Automatic Annotation.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

Hybrid task prediction based on wavelet decomposition and ARIMA model in cloud data center.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018

Automatic Rib Detection and Segmentation Based on Spatial Distance Constraints Particle Filter Method.
Proceedings of the 2018 International Conference on Image and Graphics Processing, 2018

Workload Forecasting with Hybrid Stochastic Configuration Networks in Clouds.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

An Improved Dro-Based Recurrent Neural Networks for Large-Scale Light Curve Time Series Prediction.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

Temporal Task Scheduling for Delay-Constrained Applications in Geo-Distributed Cloud Data Centers.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
TTSA: An Effective Scheduling Approach for Delay Bounded Tasks in Hybrid Clouds.
IEEE Trans. Cybern., 2017

Temporal Task Scheduling With Constrained Service Delay for Profit Maximization in Hybrid Clouds.
IEEE Trans Autom. Sci. Eng., 2017

Application-Aware Dynamic Fine-Grained Resource Provisioning in a Virtualized Cloud Data Center.
IEEE Trans Autom. Sci. Eng., 2017

Supporting real-world network-oriented mesoscopic traffic simulation on GPU.
Simul. Model. Pract. Theory, 2017

Cost-aware request routing in multi-geography cloud data centres using software-defined networking.
Enterp. Inf. Syst., 2017

Enforcing Differential Privacy for Shared Collaborative Filtering.
IEEE Access, 2017

Cost-sensitive task routing and resource provisioning in geo-distributed clouds.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

Temporal request scheduling for energy-efficient cloud data centers.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017

Revenue-sensitive scheduling of multi-application tasks in software-defined cloud.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

Real-Time Anomaly Detection of Short-Time-Scale GWAC Survey Light Curves.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Workload-Aware Revenue Maximization in SDN-Enabled Data Center.
Proceedings of the 2017 IEEE 10th International Conference on Cloud Computing (CLOUD), 2017

2016
CAWSAC: Cost-Aware Workload Scheduling and Admission Control for Distributed Cloud Data Centers.
IEEE Trans Autom. Sci. Eng., 2016

NCSR: Negative-Connection-Aware Service Recommendation for Large Sparse Service Network.
IEEE Trans Autom. Sci. Eng., 2016

TRS: Temporal Request Scheduling with bounded delay assurance in a green cloud data center.
Inf. Sci., 2016

Exploiting ensemble learning for automatic cataract detection and grading.
Comput. Methods Programs Biomed., 2016

A Petri Net Method for Compatibility Enforcement to Support Service Choreography.
IEEE Access, 2016

A data-driven approach to predict Small-for-Gestational-Age infants.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Exploiting collaborative learning for concept extraction in the medical field.
Proceedings of the 2nd International Conference on Communication and Information Processing, 2016

Pattern Recognition for Large-Scale and Incremental Time Series in Healthcare.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

2015
SLA-based optimisation of virtualised resource for multi-tier web applications in cloud data centres.
Enterp. Inf. Syst., 2015

A Topic-Level Privacy Preserving Search in the Medical Field.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

Dynamic Fine-Grained Resource Provisioning for Heterogeneous Applications in Virtualized Cloud Data Center.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014
Negative-Connection-Aware Tag-Based Association Mining and Service Recommendation.
Proceedings of the Service-Oriented Computing - 12th International Conference, 2014

An Approach to Optimized Resource Allocation for Cloud Simulation Platform.
Proceedings of the AsiaSim 2014, 2014

2011
A Petri Net Based Hybrid Optimal Controller for Deadlock Prevention in Web Service Composition.
Proceedings of the IEEE International Conference on Web Services, 2011

D optimal design for inertial navigation systems self-demarcation test based on genetic algorithm and tabu search algorithm.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

SLA Based Dynamic Virtualized Resources Provisioning for Shared Cloud Data Centers.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

2010
Web Service Publication and Discovery Architecture Based on JXTA.
Proceedings of the International Conference on Service Sciences, 2010

Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center.
Proceedings of the IEEE International Conference on Cloud Computing, 2010

2009
A DR algorithm based on artificial potential field method.
Multim. Tools Appl., 2009

The Level Filling Algorithm for Clockwise Edge.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009

Application of IP Multicast Technology in Computer Laboratory Teaching System.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009

2008
A Speaker Identification System for Video Content Analysis.
Proceedings of the 4th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2008), 2008

2007
Automatic Audio Classification and Speaker Identification for Video Content Analysis.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Automatic Audio Classification and Segmentation for Video Content Analysis.
Proceedings of the 2007 International Conference on Multimedia Systems and Applications, 2007

Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process.
Proceedings of the Advances in Neural Networks, 2007

Fault Tolerant Reconstruction Algorithm Based on Distributed Agents for Network Management.
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007


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