Wenkun Zhang

Orcid: 0000-0003-0841-7153

According to our database1, Wenkun Zhang authored at least 12 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Maximum likelihood estimation of the SDMINAR( <i>p</i> ) model to analyze some COVID-19 data.
Commun. Stat. Simul. Comput., September, 2024

A Study on Factors Influencing Consumers Omni-Channel Usage Intention: Focusing on the Mediation Effect of Relationship Quality.
Proceedings of the 2024 International Conference on Cloud Computing and Big Data, 2024

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
An empirical study of the impact of metaverse storytelling on intentions to visit.
J. Inf. Technol. Tour., September, 2023

Identifying the factors influencing enterprise digital transformation intention: an empirical study based on net effects and joint effects.
Bus. Process. Manag. J., 2023

Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Live-streaming community interaction effects on travel intention: the mediation role of sense of community and swift-guanxi.
J. Inf. Technol. Tour., 2022

2019
Promising Generative Adversarial Network Based Sinogram Inpainting Method for Ultra-Limited-Angle Computed Tomography Imaging.
Sensors, 2019

Unpaired Low-Dose CT Denoising Network Based on Cycle-Consistent Generative Adversarial Network with Prior Image Information.
Comput. Math. Methods Medicine, 2019

A Direct Material Reconstruction Method for DECT Based on Total Variation and BM3D Frame.
IEEE Access, 2019

2018
Preliminary Study: an Efficient Solving Algorithm for Determining the Exact Sampling Condition of Limited-Angle CT Reconstruction.
Proceedings of the 14th International Conference on Natural Computation, 2018

2017
Data driven tight frames regularization for few-view image reconstruction.
Proceedings of the 13th International Conference on Natural Computation, 2017


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