Identifying the nature of stomach diseases by ultrasonography based on genetic neural network. - Xianlai Chen; Luming Yang; Shu-chu Wang; Rong Yang; Jian-xin Wang 001 (Expert Syst. Appl., 2011)

MAIN: Multimodal Attention-based Fusion Networks for Diagnosis Prediction. - Ying An; Haojia Zhang; Yu Sheng; Jianxin Wang 001; Xianlai Chen (BIBM, 2021)

Identifying the essential nodes in network pharmacology based on multilayer network combined with random walk algorithm. - Xianlai Chen; Mingyue Xu; Ying An (J. Biomed. Informatics, 2021)

High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks. - Ying An; Nengjun Huang; Xianlai Chen; Fang-Xiang Wu; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

DL-BERT: a time-aware double-level BERT-style model with pre-training for disease prediction. - Xianlai Chen; Jiamiao Lin; Ying An (IEEE Big Data, 2022)

Percept U-Net: Percept Attention-based Convolutional Neural Network for Atrial Fibrillation Episode Localization. - Ying An; Lebing Pan; Lin Guo; Xianlai Chen; Yu Shen (DSAA, 2022)

NormToRaw: A Style Transfer Based Self-supervised Learning Approach for Nuclei Segmentation. - Xianlai Chen; Xuantong Zhong; Taixiang Li; Ying An; Long Mo (IJCNN, 2022)

Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. - Ying An; Xianyun Xia; Xianlai Chen; Fang-Xiang Wu; Jianxin Wang 001 (Artif. Intell. Medicine, 2022)

MERGE: A Multi-graph Attentive Representation learning framework integrating Group information from similar patients. - Ying An; Runze Li; Xianlai Chen (Comput. Biol. Medicine, 2022)

Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records. - An Fang; Jiahui Hu; Wanqing Zhao; Ming Feng; Ji Fu; Shanshan Feng; Pei Lou; Huiling Ren; Xianlai Chen (BMC Medical Informatics Decis. Mak., 2022)

Knowledge-Enhanced Difference-Aware Clinical Time Series Representation Learning for Diagnosis Prediction. - Ying An; Yinghong Shi; Lin Guo; Yu Sheng; Xianlai Chen (BIBM, 2023)

SPBERE: Boosting span-based pipeline biomedical entity and relation extraction via entity information. - Chenglin Yang; Jiamei Deng; Xianlai Chen; Ying An (J. Biomed. Informatics, 2023)

PARSE: A personalized clinical time-series representation learning framework via abnormal offsets analysis. - Ying An; Guanglei Cai; Xianlai Chen; Lin Guo (Comput. Methods Programs Biomed., 2023)

Attention-based Multimodal Fusion with Adversarial Network for In-Hospital Mortality Prediction. - Ying An; Ruping Qiu; Lin Guo; Xianlai Chen (BIBM, 2024)

A Multimodal Federated Learning Framework for Modality Incomplete Scenarios in Healthcare. - Ying An; Yaqi Bai; Yuan Liu; Lin Guo; Xianlai Chen (ISBRA (2), 2024)

Multi-grained Cross-Modal Feature Fusion Network for Diagnosis Prediction. - Ying An; Zhenrui Zhao; Xianlai Chen (ISBRA (2), 2024)

Feddaw: Dual Adaptive Weighted Federated Learning for Non-IID Medical Data. - Linan Ren; Kaixin Li; Ying An; Yuan Liu; Xianlai Chen (ISBRA (3), 2024)

A few-shot link prediction framework to drug repurposing using multi-level attention network. - Chenglin Yang; Xianlai Chen; Jincai Huang 002; Ying An; Zhenyu Huang; Yu Sun (Comput. Biol. Medicine, 2024)

Infrared absorption spectroscopy-based non-invasive blood glucose monitoring technology: A comprehensive review. - Taixiang Li; Quangui Wang; Ying An; Lin Guo; Linan Ren; Linghao Lei; Xianlai Chen (Biomed. Signal Process. Control., 2025)

A survey on biomedical automatic text summarization with large language models. - Zhenyu Huang; Xianlai Chen; Yunbo Wang; Jincai Huang 002; Xing Zhao (Inf. Process. Manag., 2025)

Improvement of Non-Invasive Glucose Estimation Accuracy Through Multi-Wavelength PPG. - Taixiang Li; Quangui Wang; Linghao Lei; Ying An; Lin Guo; Linan Ren; Xianlai Chen (IEEE J. Biomed. Health Informatics, 2025)