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2020 – today
- 2024
[j9]Chenglin Yang
, Xianlai Chen, Jincai Huang, Ying An, Zhenyu Huang, Yu Sun:
A few-shot link prediction framework to drug repurposing using multi-level attention network. Comput. Biol. Medicine 170: 107936 (2024)- [c8]Linan Ren, Kaixin Li, Ying An, Yuan Liu, Xianlai Chen:
Feddaw: Dual Adaptive Weighted Federated Learning for Non-IID Medical Data. ISBRA (3) 2024: 1-13 - [c7]Ying An, Zhenrui Zhao, Xianlai Chen:
Multi-grained Cross-Modal Feature Fusion Network for Diagnosis Prediction. ISBRA (2) 2024: 221-232 - [c6]Ying An, Yaqi Bai, Yuan Liu, Lin Guo, Xianlai Chen:
A Multimodal Federated Learning Framework for Modality Incomplete Scenarios in Healthcare. ISBRA (2) 2024: 245-256 - 2023
- [j8]Ying An, Guanglei Cai, Xianlai Chen, Lin Guo:
PARSE: A personalized clinical time-series representation learning framework via abnormal offsets analysis. Comput. Methods Programs Biomed. 242: 107838 (2023) - [j7]Chenglin Yang, Jiamei Deng, Xianlai Chen, Ying An:
SPBERE: Boosting span-based pipeline biomedical entity and relation extraction via entity information. J. Biomed. Informatics 145: 104456 (2023) - [c5]Ying An, Yinghong Shi, Lin Guo, Yu Sheng, Xianlai Chen:
Knowledge-Enhanced Difference-Aware Clinical Time Series Representation Learning for Diagnosis Prediction. BIBM 2023: 1014-1021 - 2022
- [j6]Ying An, Xianyun Xia, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang:
Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. Artif. Intell. Medicine 127: 102282 (2022) - [j5]Ying An, Runze Li, Xianlai Chen:
MERGE: A Multi-graph Attentive Representation learning framework integrating Group information from similar patients. Comput. Biol. Medicine 151(Part): 106245 (2022) - [j4]An Fang, Jiahui Hu, Wanqing Zhao, Ming Feng, Ji Fu, Shanshan Feng, Pei Lou, Huiling Ren, Xianlai Chen:
Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records. BMC Medical Informatics Decis. Mak. 22(1): 72 (2022) - [c4]Xianlai Chen, Jiamiao Lin, Ying An:
DL-BERT: a time-aware double-level BERT-style model with pre-training for disease prediction. IEEE Big Data 2022: 1801-1808 - [c3]Ying An, Lebing Pan, Lin Guo, Xianlai Chen, Yu Shen:
Percept U-Net: Percept Attention-based Convolutional Neural Network for Atrial Fibrillation Episode Localization. DSAA 2022: 1-9 - [c2]Xianlai Chen, Xuantong Zhong, Taixiang Li, Ying An, Long Mo:
NormToRaw: A Style Transfer Based Self-supervised Learning Approach for Nuclei Segmentation. IJCNN 2022: 1-7 - 2021
- [j3]Xianlai Chen, Mingyue Xu, Ying An:
Identifying the essential nodes in network pharmacology based on multilayer network combined with random walk algorithm. J. Biomed. Informatics 114: 103666 (2021) - [j2]Ying An, Nengjun Huang, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang:
High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1093-1105 (2021) - [c1]Ying An, Haojia Zhang, Yu Sheng, Jianxin Wang, Xianlai Chen:
MAIN: Multimodal Attention-based Fusion Networks for Diagnosis Prediction. BIBM 2021: 809-816
2010 – 2019
- 2011
- [j1]Xianlai Chen, Luming Yang, Shu-chu Wang, Rong Yang, Jian-xin Wang:
Identifying the nature of stomach diseases by ultrasonography based on genetic neural network. Expert Syst. Appl. 38(5): 6400-6403 (2011)
Coauthor Index
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