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Shuangqing Zhai
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Journal Articles
- 2022
- [j6]Yun Zhang, Yongguo Liu
, Dongxiao Li, Shuangqing Zhai:
Exploring Chinese word embedding with similar context and reinforcement learning. Neural Comput. Appl. 34(24): 22287-22302 (2022) - 2020
- [j5]Yun Zhang
NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection. IEEE Access 8: 46642-46664 (2020) - [j4]Weiguang Wang
Learning Methods of Convolutional Neural Network Combined With Image Feature Extraction in Brain Tumor Detection. IEEE Access 8: 152659-152668 (2020) - [j3]Yun Zhang, Yongguo Liu, Jiajing Zhu, Shuangqing Zhai, Rongjiang Jin, Chuanbiao Wen:
A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study. Comput. Math. Methods Medicine 2020: 1862168:1-1862168:23 (2020) - 2019
- [j2]Qiaoqin Li, Yongguo Liu
ANDERATION: A New Anti-Community Detection Algorithm and its Application to Explore Incompatibility of Traditional Chinese Medicine. IEEE Access 7: 113975-113987 (2019) - [j1]Jiajing Zhu, Yongguo Liu
IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine. Neurocomputing 338: 207-221 (2019)
Conference and Workshop Papers
- 2019
- [c2]Yun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai:
Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. CIKM 2019: 1011-1020 - 2018
- [c1]Jiajing Zhu, Yongguo Liu, Shangming Yang, Shuangqing Zhai, Zhang Yi, Chuanbiao Wen:
A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine. CIKM 2018: 1799-1802
Coauthor Index
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