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2020 – today
- 2024
[j5]Fuqian Zhang, Bin Wang, Dong Gao, Chengxi Yan
, Zhenhua Wang:
When grey model meets deep learning: A new hazard classification model. Inf. Sci. 670: 120653 (2024)- [c6]Chengxi Yan, Zhichao Fang:
Revealing the Country-level Preference on Research Methods in the Field of Digital Humanities: From the Perspective of Library and Information Science. EEKE/AII@iConference 2024: 80-84 - 2023
- [j4]Chengxi Yan, Xuemei Tang, Hao Yang, Jun Wang:
A deep active learning-based and crowdsourcing-assisted solution for named entity recognition in Chinese historical corpora. Aslib J. Inf. Manag. 75(3): 455-480 (2023) - [j3]Chengxi Yan, Ruojia Wang, Xiaoke Fang:
SEN: A subword-based ensemble network for Chinese historical entity extraction. Nat. Lang. Eng. 29(4): 1043-1065 (2023) - [c5]Shaojian Li, Chengxi Yan:
Characterizing Emerging Technologies of Global Digital Humanities Using Scientific Method Entities. EEKE/AII@JCDL 2023: 33-40 - [c4]Chengxi Yan, Shaojian Li:
Exploring Multiview Interactive Visualization for Chinese Historical Texts Using Knowledge Aggregation. JCDL 2023: 165-168 - 2022
- [j2]Wenhuan Li, Fangfang Yu, Mingxi Liu, Chengxi Yan:
Clinical value of resting cardiac dual-energy CT in patients suspected of coronary artery disease. BMC Medical Imaging 22(1): 32 (2022) - 2021
- [c3]Chengxi Yan, Tzu-Yi Ho, Jun Wang:
A Comparative Studies of Automatic Query Formulation in Full-Text Database Search of Chinese Digital Humanities. iConference (1) 2021: 457-468 - 2020
- [j1]Chengxi Yan, Qi Su, Jun Wang:
MoGCN: Mixture of Gated Convolutional Neural Network for Named Entity Recognition of Chinese Historical Texts. IEEE Access 8: 181629-181639 (2020) - [c2]Chengxi Yan, Jun Wang:
Exploiting Hybrid Subword Information for Chinese Historical Named Entity Recognition. IEEE BigData 2020: 4795-4801 - [c1]Bo Wu, Peng Cao, Jinzhu Yang, Qi Yang, Chengxi Yan, Wenxin Wang, Minglei Yang, Lili Dou:
Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images. ISICDM 2020: 86-90
Coauthor Index
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