各系部老师-邱育珊
个人简介
教育经历
工作经历
研究领域
获得荣誉
教学课程
科研成果


邱育珊

姓名：邱育珊
职称：助理教授
性别：女

教育程度：博士以上
电话：**

邮箱：yushan.qiu@szu.edu.cn
地址：科技楼312





简介：

教育经历： 2011.10~2015.8，香港大学，数学系，博士，导师：Ching Wai-Ki
2007.9~2011.7， 华南师范大学，数学与计算学院，学士

工作经历： (1) 2016.9~至今，深圳大学，数学与统计学院，助理教授
(2) 2016.6~2016.8，美国贝勒医学院，博士后，合作导师：Cheng Chonghui
(3) 2015.9-2016.5，美国西北大学，博士后，合作导师：Cheng Chonghui
(4) 2013.5-2013.9 日本京都大学，Research Fellow


研究领域： 生物信息学、计算生物学

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。

教学课程： 数学建模、高等数学（全英授课）、凸分析

科研成果： 科研项目：
1. 国家自然科学基金青年项目，面向肿瘤转移标志物识别的多源数据整合方法研究，**，主持，24万，2021/01-2023/12；
2. 广东省基础与应用基础研究, 基于多源单细胞组学数据的肿瘤异质性识别模型与算法研究, 2019A，主持，10万，2020/01-2022/12；
3. 深圳大学新引进教师科研启动项目，基于多源异构的的多组学数据整合方法研究，主持，14万，2019/09-2022/08；
4. 深圳大学新引进高端人才财政补助科研启动项目，面向多源异构生物大数据的模式发现理论及其应用，主持，160万，2019/01-2021/12；
5. 国家自然科学基金面上项目，基于罚函数方法的HJB广义互补问题研究，**，参与，52万，2019/01-2022/12；
6. 深圳市科技计划基础研究项目，基于深度数学优化方法的新型生物信息技术，JCYJ20**0436，参与，30万，2018/04-2020/03；
7. 深圳大学新引进高端人才财政补助科研启动项目，基于深度特征选择技术的基因调控网络研究，参与，147万，2017/01-2019/12；
8. 深圳大学新引进教师科研启动项目，基于特征提取方法研究及其应用，**，主持，6万，2017/06-2019/05，结题。

期刊论文列表：
1. 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. Accepted.?
2. 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.**.
3. 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.
4. 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.
5. Yushan Qiu, Yulong Huang, Shaobo Tan, et al., Exploring observability of attractor cycles in Boolean networks for biomarker detection. IEEE Access, 2019, 7:127745-127753.
6. Yushan Qiu, Hao Jiang, Wai-Ki Ching, Michael Kwok-Po Ng. On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L1/2-regularized method. Artificial Intelligence in Medicine, 2019, 95:96-103.
7. Samuel E. Harvey, Yilin Xu, Xiaodan Lin, Xin D. Gao, Yushan Qiu, Jaegyoon Ahn Xinshu Xiao, Chonghui Cheng. Co-regulation of alternative splicing by hnRNPM and ESRP1 during EMT. RNA, 2018, 24(10):1326-1338.
8. 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.
9. 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.
10. Hao Jiang, Wai-Ki Ching, Yushan Qiu(*通讯作者), Xiaoqing Cheng. Optimal projection method determination by logdet divergence and perturbed von-neumann divergence. BMC Systems Biology, 2017, 11(6): 115-127.
11. Xiaoqing Cheng, Yushan Qiu(*通讯作者), Wenpin Hou, Wai-Ki Ching. Integer programming-based method for observability of singleton attractors in Boolean networks. 2017, 11(1):30-35.
12. Xiaoqing Cheng, Tomoya Mori, Yushan Qiu, Wai-Ki Ching, Tatsuya Akutsu. Exact identification of the structure of a probabilistic Boolean network from samples. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016, 13(6): 1107-1116.
13. Yushan Qiu, Takeyuki Tamura, Wai-Ki Ching, Tatsuya Akutsu. On control of singleton attractors in multiple Boolean networks: integer programming-based method. BMC Systems Biology, 2014, 8(1).
14. Yushan Qiu, Kazuaki Shimada, Nobuyoshi Hiraoka, Kensei Maeshiro, Wai-Ki Ching, Kiyoko F. Aoki-Kinoshita, Koh Furuta. Knowledge discovery for pancreatic cancer using inductive logic programming. IET Systems Biology, 2014, 8(4): 162-168.
15. Yushan Qiu, Hao Jiang, Kazuaki Shimada, Nobuyoshi Hiraoka, Kensei Maeshiro, Wai-ki Ching, Kiyoko F. Aoki-Kinoshita, Koh Furuta. Towards prediction of pancreatic cancer using SVM study model. JSM Clinical Oncology and Research 2014, 2(4):1031.
会议论文列表：
1. Yushan Qiu, Yulong Huang, Shaobo Tan, et al. Novel method for singleton and cyclic attractor observability in Boolean networks. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, 2018, pp. 1526-1531. (CCF B)
2. Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching, Hao Jiang, Tatsuya Akutsu. On observability of attractors in Boolean networks. 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Washington, DC, 2015, pp. 263-266. (CCF B)