Associate Professor, Master Supervisor

Jiangxi Agricultural University,

School of Computer and Information Engineering, Nanchang, Jiangxi, 330045, China

Email: aliang1229@126.com

Research Interests

·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）

·Sequence analysis of DNA/RNA/ Protein（DNA/RNA/ Protein序列分析）

·Biological big data analysis（生物大数据分析）

Education

·Ph.D., School of Computer Science and Engineering, Hunan University, 2013-2017

·M.S., School of Computer Science and Engineering, Hunan University, 2011-2013

·B.S., School of Mathematics and Information Science, Jiangxi Normal University, 2007-2011

Job title

·Associate Professor,School of Computer and Information Engineering, Jiangxi Agricultural University, 2022-present

Teaching

·School of Computer and Information Engineering, Jiangxi Agricultural University, 2018-present

Bioinformatics, Data Structures, Programming in Python Language

Dissertation (as 1st or Correspondence author)

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.（SCI, IF=5.481）

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 andYing 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.

monograph

·Ying Liang,Copy Number Variation Detection Algorithm and Application Research Based on High-throughput Data, 2021, Shantou University Press

Grants & Projects

(1) National Natural Science Foundation of China, Regional Science Foundation of China, 62163018, Detection Method of Circulating Cell-free DNA Copy Number Variation and Tumor Traceability, 2022-01-01 to 2025-12-31, 320,000 RMB Researching, hosting

(2) National Natural Science Foundation of China, Regional Science Foundation of China, 31960049, Polyploidy and phylogenetic study of Rhododendron family, 2020-01-01 to 2023-12-31, 400,000 RMB, under research, Participation

(3) National Natural Science Foundation of China, Regional Science Foundation of China, 31960051, The Role of Developmental Age Pathway in Regulating the Flowering Process of Bamboo Plants and Its Evolution, 2020-01-01 to 2023-12-31, 400,000 RMB, Researching, participating

(4) National Natural Science Foundation of China, General Project, 61672214, Research on Regularization Methods and Applications for Biological Big Data Analysis, 2017-01-01 to 2020-12-31, 630,000 RMB , completed, Participation