Xianlai Chen

According to our database, Xianlai Chen authored at least 25 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SRFormer: Embedding individual spectral fingerprints for PPG-based glucose estimation.

Taixiang Li, Zhenyu Huang, Xing Zhao, Ying An, Lin Guo, Quangui Wang, Linghao Lei, Jiawei Xin, Xianlai Chen

Biomed. Signal Process. Control., 2026

BioDPP: Dynamic Prompt Policy Learning for Biomedical Vision-Language Models.

Pingyi Miao, Xianlai Chen, Kai Sun, Yunbo Wang, Shuang Zhao, Ying An

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, August, 2025

A survey on biomedical automatic text summarization with large language models.

Zhenyu Huang, Xianlai Chen, Yunbo Wang, Jincai Huang, Xing Zhao

Inf. Process. Manag., 2025

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

HiGraphSum: Hierarchical Hypergraph-Based Dual-Stage Automatic Summarization of Discharge Summaries.

Zhenyu Huang, Xianlai Chen, Taixiang Li, Xing Zhao, Ying An, Yunbo Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

SPG-Net: A Structure-Aware Spatiotemporal Graph Neural Network for Electrocardiogram-Based Myocardial Infarction Localization.

Ying An, Ke Du, Xianlai Chen, Lin Guo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

A few-shot link prediction framework to drug repurposing using multi-level attention network.

Chenglin Yang, Xianlai Chen, Jincai Huang, Ying An, Zhenyu Huang, Yu Sun

Comput. Biol. Medicine, March, 2024

Feddaw: Dual Adaptive Weighted Federated Learning for Non-IID Medical Data.

Linan Ren, Kaixin Li, Ying An, Yuan Liu, Xianlai Chen

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Multi-grained Cross-Modal Feature Fusion Network for Diagnosis Prediction.

Ying An, Zhenrui Zhao, Xianlai Chen

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

A Multimodal Federated Learning Framework for Modality Incomplete Scenarios in Healthcare.

Ying An, Yaqi Bai, Yuan Liu, Lin Guo, Xianlai Chen

Proceedings of the Bioinformatics Research and Applications - 20th International Symposium, 2024

Attention-based Multimodal Fusion with Adversarial Network for In-Hospital Mortality Prediction.

Ying An, Ruping Qiu, Lin Guo, Xianlai Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

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., December, 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, September, 2023

Knowledge-Enhanced Difference-Aware Clinical Time Series Representation Learning for Diagnosis Prediction.

Ying An, Yinghong Shi, Lin Guo, Yu Sheng, Xianlai Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

MERGE: A Multi-graph Attentive Representation learning framework integrating Group information from similar patients.

Ying An, Runze Li, Xianlai Chen

Comput. Biol. Medicine, 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

Artif. Intell. Medicine, 2022

NormToRaw: A Style Transfer Based Self-supervised Learning Approach for Nuclei Segmentation.

Xianlai Chen, Xuantong Zhong, Taixiang Li, Ying An, Long Mo

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

DL-BERT: a time-aware double-level BERT-style model with pre-training for disease prediction.

Xianlai Chen, Jiamiao Lin, Ying An

Proceedings of the IEEE International Conference on Big Data, 2022

2021

High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks.

Ying An, Nengjun Huang, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 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

MAIN: Multimodal Attention-based Fusion Networks for Diagnosis Prediction.

Ying An, Haojia Zhang, Yu Sheng, Jianxin Wang, Xianlai Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2011

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

Expert Syst. Appl., 2011