Lujiao Shao

According to our database, Lujiao Shao authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SRRNet: A Transformer Structure With Adaptive 2-D Spatial Attention Mechanism for Cell Phone-Captured Shopping Receipt Recognition.

Haibin Zhou, Lujiao Shao, Haijun Zhang

IEEE Trans. Consumer Electron., February, 2024

2023

Modeling the spread dynamics of multiple-variant coronavirus disease under public health interventions: A general framework.

Choujun Zhan, Yufan Zheng, Lujiao Shao, Guanrong Chen, Haijun Zhang

Inf. Sci., May, 2023

𝕋²Net: an improved image-based text transfer framework using background inpainting and text conversion.

Haibin Zhou, Lujiao Shao, Boxiang Jia, Haijun Zhang

Ind. Artif. Intell., 2023

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.

Choujun Zhan, Lujiao Shao, Xinyu Zhang, Ziliang Yin, Ying Gao, Chi K. Tse, Dong Yang, Di Wu, Haijun Zhang

Inf. Sci., 2022

A Collaborators Recommendation Method Based on Multi-feature Fusion.

Qi Yuan, Lujiao Shao, Xinyu Zhang, Xinrui Yu, Huiyue Sun, Jianghong Ma, Weizhi Meng, Xiao-Zhi Gao, Haijun Zhang

Proceedings of the Neural Computing for Advanced Applications, 2022

Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features.

Jiaqi Chen, Lujiao Shao, Haibin Zhou, Jianghong Ma, Weizhi Meng, Zenghui Wang, Haijun Zhang

Proceedings of the Neural Computing for Advanced Applications, 2022

2021

A Transformer-Based Decoupled Attention Network for Text Recognition in Shopping Receipt Images.

Lang Ren, Haibin Zhou, Jiaqi Chen, Lujiao Shao, Yingji Wu, Haijun Zhang

Proceedings of the Neural Computing for Advanced Applications, 2021