邱育珊
  • 教育程度:博士及以上

  • 职称:副教授

  • 电话:0755-26538953

  • 邮箱:yushan.qiu@szu.edu.cn

  • 地址:汇星楼312

教程程度 博士及以上 职称 副教授
电话 0755-26538953 邮箱 yushan.qiu@szu.edu.cn
地址 汇星楼312 教育经历 2011.10~2015.08,香港大学-数学系-博士,导师:Ching Wai-Ki;
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2013.05~2013.08,京都大学-生物信息学中心-访问学生,导师:Tatsuya Akutsu


工作经历 2016.09~至今,他缓慢而有力的在车里撞着视频-数学与统计学院-助理教授、副教授;
<br>
2016.6~2016.8,美国贝勒医学院-博士后,合作导师:Cheng  Chonghui;
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2015.9-2016.5,美国西北大学-博士后,合作导师:Cheng  Chonghui


研究领域 生物信息学;机器学习
获得荣誉 深圳市海外高层次人才“孔雀计划”C类人才;
深圳市南山区领航人才;
他缓慢而有力的在车里撞着视频“荔园优青”
教学课程 数学建模、高等数学(全英授课)、数学分析、凸分析与优化
科研成果 <p>
代表性论文:<br>1.    Yushan Qiu, Lingfei Yang, Hao Jiang, Quan Zou. scTPC: a novel semi-supervised deep clustering model for scRNA-seq data. Bioinformatics, 2024, btae293(数学学会T1).
<br>2. Yushan Qiu, Yahooing Zhang, Liwen Tian, Quan Zou, Pu Zhao. Identification of a comprehensive alternative splicing function during epithelial-mesenchymal transition. iScience, 2023, 26(4):106517 (CELL 子刊)<br>3.    Liangjie Sun, Yushan Qiu(*通讯作者), Wai-Ki Ching, Pu Zhao, Quan Zou. PCB: a pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression. PLoS Computational Biology. 2023, 19(3): e1010939. (学生一作,中科院大类2区)<br>4.    Yushan Qiu, Chang Yan, Pu Zhao, Quan Zou. SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data. Briefings in Bioinformatics, 2023,  bbad149. (中科院1区Top期刊,JCR Q1,IF 2020:11.622)<br>5.    Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu(*通讯作者). A High-Order Norm-Product Regularized Multiple Kernel Learning Framework for Kernel Optimization, Information Sciences, 2022. 606:72-97. (中科院大类1区Top期刊,JCR Q1) <br>6.    Ying Yang, Sha Tian, Yushan Qiu(*通讯作者), Pu Zhao, Quan Zou, MDICC: novel method for multi-omics data integration and cancer subtype identification, Briefings in Bioinformatics, Volume 23, Issue 3, May 2022, bbac132, https://doi.org/10.1093/bib/bbac132. (中科院1区Top期刊,JCR Q1,IF 2021:11.622,学生一作) <br>7.    Yushan Qiu, Wai-Ki Ching, Quan Zou. Matrix factorization-based data fusion for the prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition. Briefings in Bioinformatics, 2021, Doi:10.1093/bib/bbab332. (中科院1区Top期刊,JCR Q1,IF 2020:11.622)<br>8.     Yushan Qiu, Wai-Ki Ching, Quan Zou. Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion. Briefings in Bioinformatics. doi: 10.1093/bib/bbaa440. (中科院1区Top期刊,JCR Q1,IF 2020:11.622) <br>9.    Yushan Qiu, Hao Jiang, Wai-Ki Ching. Unsupervised learning framework with multidimensional scaling in predicting epithelial-mesenchymal transitions. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020,  doi: 10.1109/TCBB.2020.2992605. (中科院小类2区,JCR Q1,IF 2020: 3.015) <br>10.    Yushan Qiu, Jingyi Lyu, Mikayla Dunlap, Sameul E. Harvey, Chonghui Cheng. A combinatorially regulated RNA splicing signature predicts breast cancer EMT states and patient survival. RNA, 2020, 10.1261/rna.074187.119. (中科院大类2区,JCR Q1,IF 2020: 4.942) <br>11.    Hao Jiang, Yushan Qiu(*通讯作者), Wenpin Hou, Xiaoqing Cheng, Manyi Yim, Wai-Ki Ching. Drug side-effect profiles prediction: from empirical risk minimization to structural risk minimization. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, 17(2): 402-410. (中科院大类2区,JCR Q1,IF 2020: 4.942) <br>12.    Yushan Qiu, Hao Jiang, Wai-Ki Ching, Xiaoqing Cheng. Discovery of Boolean metabolic networks: integer linear programming based approach. BMC Systems Biology, 2018, 12(1): 53-60. (中科院小类2区,JCR: Q2, IF 2018: 2.048) <br>13.    Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu(*通讯作者). Stationary mahalanobis kernel SVM for credit risk evaluation. Applied Soft Computing, 2018, 71: 407-417. (中科院升级版大类1区,JCR: Q1, IF 2018: 4.873)<br><br></p>
科研项目 1. 国家自然科学基金面上项目,62372303,主持,50万,2024/01-2027/12;
<br>
2. 国家自然科学基金青年项目,62002234,主持,30万,2021/01-2023/12;
<br>
3. 广东省自然科学基金面上项目,2024A1515010113,主持,15万,2024/01-2026/12;
<br>
4. 广东省基础与应用基础研究,  2019A1515111180,主持,10万,2020/01-2022/12;
<br>
5. 他缓慢而有力的在车里撞着视频新引进教师科研启动项目,主持,14万,2019/09-2022/08;
<br>
6. 他缓慢而有力的在车里撞着视频新引进高端人才财政补助科研启动项目,主持,160万,2019/01-2021/12;
<br>
7. 国家自然科学基金面上项目,11871347,参与,52万,2019/01-2022/12;
<br>
8. 深圳市科技计划基础研究项目,JCYJ20170817100950436,参与,30万,2018/04-2020/03;
<br>
7. 他缓慢而有力的在车里撞着视频新引进高端人才财政补助科研启动项目,参与,147万,2017/01-2019/12;
<br>
9. 他缓慢而有力的在车里撞着视频新引进教师科研启动项目,2017058,主持,6万,2017/06-2019/05,结题。

个人简介

邱育珊,博士研究生导师,于2015年毕业于香港大学,随后先后在美国西北大学和贝勒医学院从事博士后研究,于2016年加入他缓慢而有力的在车里撞着视频数学科学学院。申请人自攻读博士学位以来一直从事生物信息学与机器学习的研究,目前以主要作者身份在PLoS Computational Biology、Bioinformatics、Briefings in Bioinformatics正式发表SCI论文30余篇,主持国家自然科学面上和青年基金以及多项省部级项目。本人目前担任中国计算机学会(CCF)生物信息学专业委员会委员,同时担任多个期刊的编委,是业内多个顶级期刊的审稿人。也是国际会议BIBM 2023/2022/2021/2020/2019/2018,ISBRA 2018/2017/2016, ICIC 2022/2021等的程序委员会委员。

教育经历

  • 2011.10~2015.08,香港大学-数学系-博士,导师:Ching Wai-Ki;
    2013.05~2013.08,京都大学-生物信息学中心-访问学生,导师:Tatsuya Akutsu

工作经历

  • 2016.09~至今,他缓慢而有力的在车里撞着视频-数学与统计学院-助理教授、副教授;
    2016.6~2016.8,美国贝勒医学院-博士后,合作导师:Cheng Chonghui;
    2015.9-2016.5,美国西北大学-博士后,合作导师:Cheng Chonghui

研究领域

  • 生物信息学;机器学习

获得荣誉

  • 深圳市海外高层次人才“孔雀计划”C类人才; 深圳市南山区领航人才; 他缓慢而有力的在车里撞着视频“荔园优青”

教学课程

  • 数学建模、高等数学(全英授课)、数学分析、凸分析与优化

科研成果

  • 代表性论文:
    1. Yushan Qiu, Lingfei Yang, Hao Jiang, Quan Zou. scTPC: a novel semi-supervised deep clustering model for scRNA-seq data. Bioinformatics, 2024, btae293(数学学会T1).
    2. Yushan Qiu, Yahooing Zhang, Liwen Tian, Quan Zou, Pu Zhao. Identification of a comprehensive alternative splicing function during epithelial-mesenchymal transition. iScience, 2023, 26(4):106517 (CELL 子刊)
    3. Liangjie Sun, Yushan Qiu(*通讯作者), Wai-Ki Ching, Pu Zhao, Quan Zou. PCB: a pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression. PLoS Computational Biology. 2023, 19(3): e1010939. (学生一作,中科院大类2区)
    4. Yushan Qiu, Chang Yan, Pu Zhao, Quan Zou. SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data. Briefings in Bioinformatics, 2023, bbad149. (中科院1区Top期刊,JCR Q1,IF 2020:11.622)
    5. Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu(*通讯作者). A High-Order Norm-Product Regularized Multiple Kernel Learning Framework for Kernel Optimization, Information Sciences, 2022. 606:72-97. (中科院大类1区Top期刊,JCR Q1)
    6. Ying Yang, Sha Tian, Yushan Qiu(*通讯作者), Pu Zhao, Quan Zou, MDICC: novel method for multi-omics data integration and cancer subtype identification, Briefings in Bioinformatics, Volume 23, Issue 3, May 2022, bbac132, https://doi.org/10.1093/bib/bbac132. (中科院1区Top期刊,JCR Q1,IF 2021:11.622,学生一作)
    7. Yushan Qiu, Wai-Ki Ching, Quan Zou. Matrix factorization-based data fusion for the prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition. Briefings in Bioinformatics, 2021, Doi:10.1093/bib/bbab332. (中科院1区Top期刊,JCR Q1,IF 2020:11.622)
    8. Yushan Qiu, Wai-Ki Ching, Quan Zou. Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion. Briefings in Bioinformatics. doi: 10.1093/bib/bbaa440. (中科院1区Top期刊,JCR Q1,IF 2020:11.622)
    9. Yushan Qiu, Hao Jiang, Wai-Ki Ching. Unsupervised learning framework with multidimensional scaling in predicting epithelial-mesenchymal transitions. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, doi: 10.1109/TCBB.2020.2992605. (中科院小类2区,JCR Q1,IF 2020: 3.015)
    10. Yushan Qiu, Jingyi Lyu, Mikayla Dunlap, Sameul E. Harvey, Chonghui Cheng. A combinatorially regulated RNA splicing signature predicts breast cancer EMT states and patient survival. RNA, 2020, 10.1261/rna.074187.119. (中科院大类2区,JCR Q1,IF 2020: 4.942)
    11. Hao Jiang, Yushan Qiu(*通讯作者), Wenpin Hou, Xiaoqing Cheng, Manyi Yim, Wai-Ki Ching. Drug side-effect profiles prediction: from empirical risk minimization to structural risk minimization. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020, 17(2): 402-410. (中科院大类2区,JCR Q1,IF 2020: 4.942)
    12. Yushan Qiu, Hao Jiang, Wai-Ki Ching, Xiaoqing Cheng. Discovery of Boolean metabolic networks: integer linear programming based approach. BMC Systems Biology, 2018, 12(1): 53-60. (中科院小类2区,JCR: Q2, IF 2018: 2.048)
    13. Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu(*通讯作者). Stationary mahalanobis kernel SVM for credit risk evaluation. Applied Soft Computing, 2018, 71: 407-417. (中科院升级版大类1区,JCR: Q1, IF 2018: 4.873)

科研项目

  • 1. 国家自然科学基金面上项目,62372303,主持,50万,2024/01-2027/12;
    2. 国家自然科学基金青年项目,62002234,主持,30万,2021/01-2023/12;
    3. 广东省自然科学基金面上项目,2024A1515010113,主持,15万,2024/01-2026/12;
    4. 广东省基础与应用基础研究, 2019A1515111180,主持,10万,2020/01-2022/12;
    5. 他缓慢而有力的在车里撞着视频新引进教师科研启动项目,主持,14万,2019/09-2022/08;
    6. 他缓慢而有力的在车里撞着视频新引进高端人才财政补助科研启动项目,主持,160万,2019/01-2021/12;
    7. 国家自然科学基金面上项目,11871347,参与,52万,2019/01-2022/12;
    8. 深圳市科技计划基础研究项目,JCYJ20170817100950436,参与,30万,2018/04-2020/03;
    7. 他缓慢而有力的在车里撞着视频新引进高端人才财政补助科研启动项目,参与,147万,2017/01-2019/12;
    9. 他缓慢而有力的在车里撞着视频新引进教师科研启动项目,2017058,主持,6万,2017/06-2019/05,结题。