左云

基本信息

左云，博士，讲师，硕士生导师。2022年7月获厦门大学计算机科学与技术专业工学博士学位。2023年1月入职于江南大学人工智能与计算机学院。

研究方向

（1）利用机器学习方法解决生物信息学问题：生物序列分类（序列分类软件、深度学习、修饰位点预测及不平衡分类）、集成分类和降维；

（2）生物信息学应用问题：疾病关联预测及相关计算问题、COVID-19冠状病毒生物信息学分析等。

招生信息

1、学术型研究生招生：计算机科学与技术、软件工程、人工智能。

2、专业型研究生招生：计算机技术、软件工程、人工智能。

联系方式：

zuoyun@jiangnan.edu.cn

人才培养

（1）入职以来指导6名研究生（3名学术型硕士，3名专业型硕士）。其中，三人获优秀研究生称号（2024年）；一人获江苏省研究生科研与实践创新计划项目（2025年）；两人分别获江苏省省级和市级三好学生荣誉称号（2025年）；

（2）以唯一指导老师身份指导一名本科生（2021级）获江苏省优秀本科毕业设计1篇，两名本科生（2022级）获校级优秀本科毕业设计2篇；

（3）入职以来，以第一指导老师身份指导学生学科竞赛6项，其中获国一1项，国二3项，国三2项；

（4）指导国家级“大学生创新创业训练计划”项目两项（2024、2025），省级“大学生创新创业训练计划”项目（2025）一项。其中，实施年份为2024-2025的国家级大创已于2025年6月以优秀结题；

（5）2025年获校级优秀本科毕业论文（设计）指导教师。

科学研究

（1）主持国家自然科学基金青年科学基金1项（62302198, 2024.1-2026.12, 30万，在研）；

（2）主持江苏省科技计划项目青年基金项目1项（BK20231035, 2023.9-2026.8, 20万，在研）;

（3）主持横向一项（2024.03-2024.06, 11.55万，已结题)；

（4）截止到2025年7月4日，在Briefings in Bioinformatics、PLOS Computational Biology、Journal of Chemical Information and Modeling、IEEE Journal of Biomedical and Health Informatics、Bioinformatics等国际知名生物信息学期刊上发表SCI论文二十余篇；

（5）获教育部学位与研究生教育发展中心主题案例项目(大国智造方向）1项，排序（3/6，2024）；江南大学研究生教育教学改革研究与实践课题（重点课题）1项，排序（2/5，2024）；江南大学研究生教学案例库建设项目1项，排序（2/6,2024）；江南大学研究生省级教学成果奖培育项目，排序（4/6,2024）；江苏省研究生优质教学资源（课程）1项，排序（2/6, 2025）;江苏省学位与研究生教育教学改革课题1项，排序（3/9,2025）。

科研成果（论文、论著、专利）

论文：

(1)Yun Zuo, Minquan Wan, Xinyue Shao, Dandan Qiao, Bulanni Xiong, Zhaohong Deng.LM-TLIPs: Integrating Large Model and Transfer Learning Technology for Precise Identification of Phosphorylation Sites in SARS-CoV-2.IEEE Journal of Biomedical and Health Informatics,2025（SCI一区；JCR：Q1）

(2)Yun Zuo*, Xingze Fang,Jiankang Chen, Jiayi Ji, Yuwen Li, Zeyu Wu, Xiangrong Liu, Xiangxiang Zeng, Zhaohong Deng*, Hongwei Yin, Anjing Zhao*. MlyPredCSED: Based on Extreme Point Deviation Compensated Clustering combined with Cross-Scale Convolutional Neural Networks to predict multiple lysine sites in human. Briefings in Bioinformatics, 2025. (SCI一区；JCR：Q1)

(3) Bangyi Zhang,Yun Zuo*,Zhiqiang Dai, Sifan Zhu, Xuan Liu, Zhaohong Deng. MBSCLoc: Multi-label subcellular localization predict based on cluster balanced subspace partitioning method and multi-class contrastive representation learning.IEEE Journal of Biomedical and Health Informatics,2025（SCI一区；JCR：Q1）

(4)Wenying He*, Jialu Xu,Yun Zuo, Yude Bai, Fei Guo*.EnsembleSE: identification of super-enhancers basedon ensemble learning. Briefings in Functional Genomics, 2025, 24, elaf003. (SCI四区；JCR：Q3)

(5)Yun Zuo, Xubin Wu, Fei Ge, Hongjin Yan, Sirui Fei, Jingwen Liang, Zhaohong Deng*. Research progress on Drug-Target Interactions in the last five years. Analytical Biochemistry 2024, 697:115691. (SCI三区；JCR：Q2)

(6) Wenying He, Haolu Zhou,Yun Zuo, Yude Bai, Fei Guo*. MuSE: A deep learning model based on multi-feature fusion forsuper-enhancer prediction. Computational Biology & Chemistry, 2024, 113(000). (SCI四区；JCR：Q2)

(7)Yun Zuo*, Xingze Fang, Jiayong Wan, Wenying He, Xiangrong Liu,Xiangxiang Zeng, Zhaohong Deng*. PreMLS: The undersampling technique basedon ClusterCentroids to predict multiple lysinesites. PLOS Computational Biology, 2024, 20(10).（SCI二区；JCR：Q1）

(8) Wenying He, Yu Han,Yun Zuo, Yude Bai, Fei Guo*. NBCR-ac4C: A Deep Learning Framework Based on MultivariateBERT for Human mRNA N4-Acetylcytidine Sites Prediction.Journal of Chemical Information and Modeling, 2024, 64(20):8.（SCI二区；JCR：Q1）

(9)Yun Zuo, Bangyi Zhang, Wenying He, Yue Bi, Xiangrong Liu, Xiangxiang Zeng, Zhaohong Deng*.MSlocPRED: deep transfer learning-based identificationof multi-label mRNA subcellular localization.Briefings in Bioinformatics, 2024, bbae504.(SCI一区；JCR：Q1)

(10)Yun Zuo, Minquan Wan, Yang Shen, Xinheng Wang, Wenying He, Yue Bi, Xiangrong Liu, Zhaohong Deng*. ILYCROsite: Identiffcation of lysine crotonylation sites based on FCM-GRNN undersampling technique.Computational Biology and Chemistry,2024,113:108212.（SCI四区；JCR：Q2）

(11)Yun Zuo,Bangyi Zhang, Yinkang Dong, Wenying He, Yue Bi, Xiangrong Liu, Xiangxiang Zeng, Zhaohong Deng*.Glypred: Lysine Glycation Site Prediction viaCCU−LightGBM−BiLSTM Framework with Multi-Head AttentionMechanism. Journal of Chemical Information and Modeling，2024,64（16）：6699-6711.（SCI二区；JCR：Q1）

(12)Yun Zuo, Huixian Chen, Lele Yang, Ruoyan Chen, Xiaoyao Zhang, Zhaohong Deng*.Research progress on prediction of RNA-protein binding sites in the past five years. Analytical Biochemistry, 691 (2024) , 115535. (SCI三区；JCR：Q2)

(13)Hailong Yang, Yue Chen,Yun Zuo*, Zhaohong Deng*, Xiaoyong Pan,Hong-Bin Shen, Kup-Sze Choi, Dong-Jun Yu.MINDG: a drug–target interaction prediction method basedon an integrated learning algorithm. Bioinformatics, 2024, 40(4), btae147. (SCI三区；JCR：Q1)

(14)Yun Zuo, Jingrun Zhang, Wenying He, Xiangrong Liu, Zhaohong Deng. CarSitePred: anintegrated algorithm for identifying carbonylated sites based on KNDUALNDOT resampling technique.Journal of Biomolecular Structure and Dynamics, 2024. (SCI三区；JCR：Q2)

(15)Qunzhuo Wu, Zhaohong Deng*, Wei Zhang, Xiaoyong Pan, Kup-Sze Choi,Yun Zuo, Hong-Bin Shen, Dong-Jun Yu. MLNGCF: circRNA–disease associations prediction withmultilayer attention neural graph-based collaborativefiltering. Bioinformatics, 2023. (SCI三区；JCR：Q1)

(16)Yun Zuo, Yue Hong, Xiangxiang Zeng, Qiang Zhang, Xiangrong Liu*. MLysPRED: Graph-based multi-view clustering and multi-dimensional normal distribution resampling techniques to predict multiple lysine sites. Briefings in Bioinformatics, 2022, 23(5): bbac277. (SCI一区；JCR：Q1)

(17)Yun Zuo, Jianyuan Lin, Xiangxiang Zeng, Quan Zou*, Xiangrong Liu*. CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques. BMC Bioinformatics, 2021, 22(1). (SCI二区；JCR：Q2)

(18)Yun Zuo, Xiangrong Liu, Xiangxiang Zeng*. Pm6A: an Integrated Classification Algorithm for identifying m6A Sites. IEEE BIBM 2021, 235-240. CCF B类会议.

(19)Yun Zuo, Quan Zou*, Jianyuan Lin, Min Jiang*, Xiangrong Liu*. 2lpiRNApred: A two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection. RNA Biology, 2020,17(6): 892-902. (SCI二区；JCR：Q2)

(20)Jianyuan Lin，Xiangxiang Zeng，Yun Zuo, Xiangrong Liu. A deep neural network for antimicrobial peptide recognition. IEEE BIBM 2019, 2019:82-85. CCF B类会议.

(21)Yun Zuo, Cangzhi Jia*, Taoying Li, Yan Chen. Identification of Cancerlectins by Split Bi-profile Bayes Feature Extraction. Current Proteomics, 2018, 15(3). (SCI四区；JCR：Q4)

(22) Cangzhi Jia*,Yun Zuo, Quan Zou*. O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and K-means PCA oversampling technique. Bioinformatics, 2018, 34(12): 2029-2036. (2018年度中科院分区大类：SCI二区，小类：SCI一区；JCR分区：Q1,“ESI高被引论文”,引用次数>100)

(23) Cangzhi Jia*,Yun Zuo. S-SulfPred: A sensitive predictor to capture S-sulfenylation sites based on resampling one-sided selection undersampling-synthetic minority oversampling technique. Journal of Theoretical Biology, 422:84-89. (SCI三区；JCR：Q2)

(24) Cangzhi Jia*,Yun Zuo. Computional prediction of protein O-GlcNAc modification, Methods in molecular biology (Clifton, N.J.), 2018. (COMPUTATIONAL SYSTEMS BIOLOGY: METHODS AND PROTOCOLS，丛书: Methods in Molecular Biology，卷: 1754页: 235-246，出版年: 2018).

(25)Yun Zuo, Cangzhi Jia*. CarSite: identify carbonylated sites of human proteins based on a one-sided selection resampling method. Molecular BioSystems, 2017, 13(11): 2362-2369. (SCI三区；JCR：Q2)

专利:

（1）基于多种分类算法集成学习的智能医疗欺诈监测方法，申请号：2024105857823

（2）基于深度迁移学习的多标签亚细胞定位预测方法，申请号：2024107520072

（3）基于ClusterCentroids欠采样技术预测多种赖氨酸修饰位点的方法，申请号：2024108533879

（4）基于平衡子空间和对比学习的多标签亚细胞定位方法，申请号：2024111421987

（5）基于EPDCC技术识别多种赖氨酸修饰位点的方法，申请号：102952024110006

（6）基于大模型技术识别磷酸化修饰位点的方法，申请号：102952024110172