Choujun Zhan
Orcid: 0000-0002-1445-3559
According to our database1,
Choujun Zhan
authored at least 76 papers
between 2010 and 2024.
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Bibliography
2024
BO-SHAP-BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities.
Neural Comput. Appl., May, 2024
2023
Inf. Sci., December, 2023
Expert Syst. Appl., December, 2023
Entropy, September, 2023
Modeling the spread dynamics of multiple-variant coronavirus disease under public health interventions: A general framework.
Inf. Sci., May, 2023
Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age.
Neural Comput. Appl., March, 2023
A Memetic Algorithm for Cooperative Complex Task Offloading in Heterogeneous Vehicular Networks.
IEEE Trans. Netw. Sci. Eng., 2023
Joint task offloading and resource optimization in NOMA-based vehicular edge computing: A game-theoretic DRL approach.
J. Syst. Archit., 2023
Appl. Intell., 2023
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
Pearson Correlation Coefficient-Based Performance Enhancement of Broad Learning System for Stock Price Prediction.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Neural Comput. Appl., 2022
Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention.
Neural Comput. Appl., 2022
Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical interventions: A dynamic spreading model.
Inf. Sci., 2022
Improved YOLOV4-CSP Algorithm for Detection of Bamboo Surface Sliver Defects With Extreme Aspect Ratio.
IEEE Access, 2022
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022
COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Proceedings of the Neural Computing for Advanced Applications, 2022
An Early Prediction and Label Smoothing Alignment Strategy for User Intent Classification of Medical Queries.
Proceedings of the Neural Computing for Advanced Applications, 2022
Bayesian Optimization Based Seq2Seq Network Models for Real Estate Price Prediction in Hong Kong.
Proceedings of the Neural Computing for Advanced Applications, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
2021
Comparative Study of COVID-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, U.K. and USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases.
IEEE J. Biomed. Health Informatics, 2021
Sci. Program., 2021
Identification of Nonlinear Dynamical System Based on Raised-Cosine Radial Basis Function Neural Networks.
Neural Process. Lett., 2021
Dense Residual Network: Enhancing global dense feature flow for character recognition.
Neural Networks, 2021
Identifying epidemic spreading dynamics of COVID-19 by pseudocoevolutionary simulated annealing optimizers.
Neural Comput. Appl., 2021
Learning knowledge graph embedding with a bi-directional relation encoding network and a convolutional autoencoder decoding network.
Neural Comput. Appl., 2021
An investigation of testing capacity for evaluating and modeling the spread of coronavirus disease.
Inf. Sci., 2021
IEEE Internet Things J., 2021
Proceedings of the Neural Computing for Advanced Applications, 2021
Proceedings of the Neural Computing for Advanced Applications, 2021
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021
Detection Capability Prediction Based on Broad Learning System during the COVID-19 Pandemic.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021
Predicting Video Game Sales Based on Machine Learning and Hybrid Feature Selection Method.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021
The Impact of COVID-19 on Online Games: Machine Learning and Difference-in-Difference.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021
2020
IEEE Trans. Ind. Informatics, 2020
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
Proceedings of the Neural Computing for Advanced Applications, 2020
Housing prices prediction with deep learning: an application for the real estate market in Taiwan.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
Short-term PM2.5 Forecasting with a Hybrid Model Based on Ensemble GRU Neural Network.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
Optimizing Broad Learning System Hyper-parameters through Particle Swarm Optimization for Predicting COVID-19 in 184 Countries.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020
Proceedings of the EITCE 2020: 4th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, 6 November, 2020, 2020
Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020
2019
A Model for Growth of Markets of Products or Services Having Hierarchical Dependence.
IEEE Trans. Netw. Sci. Eng., 2019
A Novel Algorithm for Estimating Purchase Incentive of the Public Based on Mobile Cloud Computing.
IEEE Access, 2019
Prediction of Daily Precipitation Based on Deep Learning and Broad Learning Techniques.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
A Study of The Growth of The Amount of Meteorological Observation Sites over 200 Years.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Indefinite Kernels in One-Class Support Vector Machine and its Application on Virtual Screening.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Wirel. Commun. Mob. Comput., 2018
Int. J. Auton. Adapt. Commun. Syst., 2018
IEEE Access, 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
2017
IEEE J. Emerg. Sel. Topics Circuits Syst., 2017
IEEE J. Emerg. Sel. Topics Circuits Syst., 2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Netw. Sci., 2016
2015
IEEE Signal Process. Lett., 2015
Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension.
Neurocomputing, 2015
2014
A Parameter Estimation Method for Biological Systems modelled by ODE/DDE Models Using Spline Approximation and Differential Evolution Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
Characterisation of protein-protein interaction network base on ℓ1-norm optimisation.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2011
BMC Syst. Biol., 2011
2010
A parameter estimation approach for non-linear systems biology models using spline approximation.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010