安莹

个人简介

安莹，男，计算机应用技术博士，中南大学大数据研究院副教授，博士生导师。医疗大数据应用技术国家工程实验室核心参与人员，湖南省医学大数据协同创新中心骨干成员、参与中南大学医疗大数据平台的整体设计和建设，湘雅医学大数据专病透明采集系统研发项目负责人。长期从事医学大数据分析与应用、医学人工智能、机器学习等方面的科学研究。在AIIM、IEEE/ACM TCBB、CIBM、CMPB、JBI等期刊或会议上发表学术论文40余篇。主持或作为骨干参与国家重点研发计划、国家自然科学基金、湖南省自然科学基金及其他国家和省部级各类课题近10项。

近三年部分发表或录用的论文：

[1] Ying An, Guanglei Cai, Xianlai Chen, Lin Guo. PARSE: A personalized clinical time-series representation learning framework via abnormal offsets analysis[J]. Computer Methods and Programs in Biomedicine, 2023, Volume 242, DOI: 10.1016/j.cmpb.2023.107838.

[2] Ying An, Yinghong Shi, Lin Guo, Yu Sheng, and Xianlai Chen. Knowledge-Enhanced Difference-Aware Clinical Time Series Representation Learning for Diagnosis Prediction[C]. Proceedings of the 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023), 2023.

[3] Mengjie Zou, Ying An, Hulin Kuang, Jianxin Wang. LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction[J]. Journal of Biomedical Informatics, 2023, 143 (2023) 104408.

[4] Chenglin Yang, Jiamei Deng, Xianlai Chen, Ying An. SPBERE: Boosting span-based pipeline biomedical entity and relation extraction via entity information[J]. Journal of Biomedical Informatics, 2023, 145 (2023) 104456.

[5] Ying An, Xianyun Xia, Xianlai Chen, Fangxiang Wu, and Jianxin Wang. Chinese Clinical Named Entity Recognition via Multi-head Self-attention Based BiLSTM-CRF[J]. Artificial Intelligence in Medicine, 2022, 102282. DOI: 10.1016/j.artmed.2022.102282.

[6] Yuxia Guan, Ying An, Jinrui Xu, Ning Liu, and Jianxin Wang. HA-ResNet: Residual Neural Network with Hidden Attention for ECG Arrhythmia Detection using Two-dimensional Signal[J]. IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2022, DOI 10.1109/TCBB.2022.3198998.

[7] Ying An, Runze Li, Xianlai Chen. MERGE: A Multi-graph Attentive Representation Learning Framework Integrating Group Information from Similar Patients[J]. Computers in Biology and Medicine, December 2022, Volume 151, Part A, DOI: 10.1016/j.compbiomed.2022.106245.

[8] Weibai Pan, Ying An, Yuxia Guan, Jianxin Wang. MCA-net: A multi-task channel attention network for Myocardial infarction detection and location using 12-lead ECGs[J]. Computers in Biology and Medicine, Volume 150, November 2022, DOI: 10.1016/j.compbiomed.2022.106199.

[9] Ying An, Nengjun Huang, Xianlai Chen, FangXiang Wu and Jianxin Wang. High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks[J]. IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2021, DOI: 10.1109/TCBB.2019.2935059.

[10] Ying An, Kun Tang, and Jianxin Wang. Time-Aware Multi-Type Data Fusion Representation Learning Framework for Risk Prediction of Cardiovascular Diseases，IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2021. DOI: 10.1109/tcbb.2021.3118418.

[11] Ying An, Haojia Zhang, Jianxin Wang, Yu Sheng, and Xianlai Chen. MAIN: Multimodal Attention-based Fusion Networks for Diagnosis Prediction, International Conference on Bioinformatics & Biomedicine (BIBM), 2021. DOI: 10.1109/BIBM52615.2021.9669634.

[12] Xianlai Chen, Mingyue Xu, Ying An. Identifying the essential nodes in network pharmacology based on multilayer network combined with random walk algorithm[J]. Journal of Biomedical Informatics, 2021, DOI: 10.1016/j.jbi.2020.103666.

其他联系方式