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2020 – today
- 2024
[j4]Haibin Zhou, Lujiao Shao, Haijun Zhang
:
SRRNet: A Transformer Structure With Adaptive 2-D Spatial Attention Mechanism for Cell Phone-Captured Shopping Receipt Recognition. IEEE Trans. Consumer Electron. 70(1): 3289-3298 (2024)- 2023
- [j3]Haibin Zhou, Lujiao Shao, Boxiang Jia, Haijun Zhang:
𝕋2Net: an improved image-based text transfer framework using background inpainting and text conversion. Ind. Artif. Intell. 1(1) (2023) - [j2]Choujun Zhan, Yufan Zheng, Lujiao Shao, Guanrong Chen, Haijun Zhang:
Modeling the spread dynamics of multiple-variant coronavirus disease under public health interventions: A general framework. Inf. Sci. 628: 469-487 (2023) - 2022
- [j1]Choujun Zhan, Lujiao Shao, Xinyu Zhang, Ziliang Yin, Ying Gao, Chi K. Tse, Dong Yang, Di Wu, Haijun Zhang:
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. 607: 418-439 (2022) - [c3]Qi Yuan, Lujiao Shao, Xinyu Zhang, Xinrui Yu, Huiyue Sun, Jianghong Ma, Weizhi Meng, Xiao-Zhi Gao, Haijun Zhang:
A Collaborators Recommendation Method Based on Multi-feature Fusion. NCAA (1) 2022: 247-261 - [c2]Jiaqi Chen, Lujiao Shao, Haibin Zhou, Jianghong Ma, Weizhi Meng, Zenghui Wang, Haijun Zhang:
Extracting Key Information from Shopping Receipts by Using Bayesian Deep Learning via Multi-modal Features. NCAA (1) 2022: 378-393 - 2021
- [c1]Lang Ren, Haibin Zhou, Jiaqi Chen, Lujiao Shao, Yingji Wu, Haijun Zhang:
A Transformer-Based Decoupled Attention Network for Text Recognition in Shopping Receipt Images. NCAA 2021: 563-577
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