梁莹，女，中共党员，副教授，计算机科学与技术专业博士，硕士生导师，教育部学位中心学位论文评审专家，担任多个SCI期刊审稿人。以第一（通讯）作者发表SCI论文10+篇，独撰专著1部，
主持国家自然科学基金1项，2022年度江西农业大学先进工作者。
研究方向
• Deep learning methods and its application in Bioinformatics（深度学习方法及其在生物信息学中的应用）
• Biological big data analysis（生物大数据分析）
• Sequence analysis of DNA/RNA/ Protein（DNA/RNA/ Protein序列分析）
教学工作
计算机与信息工程学院，江西农业大学，2018-至今
所授课程：生物信息学, 数据结构, Python 语言编程
学术论文（第一作者或通讯作者）
1）Ying Liang, Kunlong Qiu, Bo Liao*, Wen Zhu, Xuanglin Huang, Lin Li, Xiangtao Chen, Keqin Li. Seeksv: an accurate tool for somatic structural variation and virus integration detection. Bioinformatics, 2017, 33(2): 184-191.
2）Zequn Zhang, Junlin Xu, Yanan Wu, Niannian Liu, Yinglong Wang, Ying Liang*, CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data, Briefings in Bioinformatics, 2022; bbac531
3）Shi Qiu, Renxin Liu, Ying Liang*,GR-m6A: Prediction of N6-methyladenosine sites in mammals with molecular graph and residual network.Computers in Biology and Medicine, 2023:163
4）Niannian Liu, Zequn zhang, Yanan Wu, Yinglong Wang and Ying Liang*，CRBSP:Prediction of CircRNA-RBP Binding Sites Based on Multimodal Intermediate Fusion, IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023
5）Liang Ying, Li Suhui, You Xiya, Guo You, Tang Jianjun, Stacking-Kcr: A Stacking Model for Predicting the Crotonylation Sites ofLysine by Fusing Serial and Automatic Encoder, Current Bioinformatics; Volume 19, Issue 7, Year 2024, e011223224145.
6）Liang Ying, Yin XingRui, Zhang YangSen, Guo You, Wang Yinglong. Predicting lncRNA-protein interactions through deep learning framework employing multiple features and random forest algorithm. BMC Bioinformatics. 2024 Mar 12;25(1):108.
7) Liang Ying, You Xiya, Zhang Zequn, Qiu Shi, Li Suhui, Fu Lianlian. MGFmiRNAloc: predicting miRNA Subcellular Localization Using Molecular Graph Feature and Convolutional Block Attention Module. IEEE/ACM Trans Comput Biol Bioinform. 2024 Apr 1;PP. doi: 10.1109/TCBB.2024.3383438. Epub ahead of print. PMID: 38557611.
8）Ying Liang*,Yanan Wu, Zequn Zhang, Niannian Liu, Jun Peng and Jianjun Tang. Hyb4mC: a hybrid DNA2vec-based model for DNA N4-methylcytosine sites prediction. BMC bioinformatics, 2022, 23(1): 1-18.
9）Ying Liang+, Zequn Zhang+, Niannian Liu, Yanan Wu,Changlong Gu, Yinglong Wang*. MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model. BMC bioinformatics, 2022, 23(1): 1-22.
10）Ying Liang+*, Haifeng Wang+, jialiang Yang+, Xiong Li, Chan Dai, Peng Shao, Geng Tian, Bo Wang, Yinglong Wang. A Deep Learning Framework to Predict Tumor Tissue-of-Origin Based on Copy Number Alteration. Front Bioeng Biotechnol. 2020;8:701-.
11）Ying Liang, Bo Liao*, Wen Zhu. An Improved Binary Differential Evolution Algorithm to Infer Tumor Phylogenetic Trees. Biomed Research International, 2017, 2017(5):1-13.
12) Ying Liang, Niannian Liu, Le Yang, Jianjun Tang, Yinglong Wang*, Meng Mei. A brief review of circRNA biogenesis, detection and function. Current Genomics, 2021, 22(7):485-495.
13）Ning Li, Jialiang Yang, Wen Zhu*, Ying Liang*. MVSC: A Multi-variation Simulator of Cancer Genome. Combinatorial Chemistry & High Throughput Screening, 2020; 23.
学术专著
• 梁莹，基于高通量数据的拷贝数变异检测算法及应用研究，2021，汕头大学出版社
科研项目
1) 国家自然科学基金委员会, 循环游离DNA拷贝数变异检测方法及肿瘤溯源研究, 32万元, 主持
2) 国家自然科学基金委员会, 杜鹃花科吊钟花属多倍化和系统发育研究, 40万元,参与
3) 国家自然科学基金委员会,发育年龄途径在调控竹类植物开花过程中的作用及其演化研究, 40万元, 参与
4) 国家自然科学基金委员会,面向生物大数据分析的正则化方法及应用研究, 63万元, 参与
联系方式：
联系地址：江西农业大学计算机与信息工程学院，南昌, 江西, 330045, 中国
联系邮箱: aliang1229@126.com
