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Current position： Home Faculty Associate Professor Content
Qiu Yushan

  • Educational level:

  • Professional titles: Associate Professor

  • Telephone:0755-26538953

  • Email:yushan.qiu@szu.edu.cn

  • Address:Room 312,Huixing Building

Educational level Professional titles Associate Professor
Professional titles 0755-26538953 Email yushan.qiu@szu.edu.cn
Address Room 312,Huixing Building Personal Profile
Educational experience Work experience
Research Field Bioinformatics; machine learning Honors obtained
Academic Programs Scientific research 1.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
2.Liangjie Sun, Yushan Qiu*, 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.
3.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. （JCR Q1，IF 2020：11.622）
4. Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu*. A High-Order Norm-Product Regularized Multiple Kernel Learning Framework for Kernel Optimization, Information Sciences, 2022. 606:72-97. （JCR Q1）
5. Ying Yang, Sha Tian, Yushan Qiu*, 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. (JCR Q1，IF 2021：11.622）
6. 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. （JCR Q1，IF 2020：11.622）
7. 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. （JCR Q1，IF 2020：11.622）
8.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. （JCR Q1，IF 2020: 3.015）
9. 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. （JCR Q1，IF 2020: 4.942）
10. Hao Jiang, Yushan Qiu(*, 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. （JCR Q1，IF 2020: 4.942）
11. 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. （JCR: Q2, IF 2018: 2.048）
12. Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu*. Stationary mahalanobis kernel SVM for credit risk evaluation. Applied Soft Computing, 2018, 71: 407-417. （JCR: Q1, IF 2018: 4.873）

Personal Profile

Qiu Yushan, female, a native of Puning, Guangdong Province, graduated from the University of Hong Kong in 2015. She has worked as a postdoctoral researcher at Northwestern University and Baylor College of Medicine in the United States. She joined the school of Mathematics and statistics of Shenzhen University in 2016. Applicants have been engaged in Bioinformatics and machine learning research since their doctoral studies. Currently, more than 30 SCI papers have been published as lead authors in Cell, PLoS Computational Biology, Briefings in Bioinformatics, he has presided over and participated in several National Natural Science Foundation of China and Natural Science Foundation of Guangdong Province. I am currently a member of the Bioinformatics Committee of the Chinese Computer Society (CCF) , as well as a member of the editorial board of several journals and a peer reviewer of several top journals in the industry. He is also a member of the procedure committee of International Conferences BIBM 2022/2021/2020/2019/2018, Isbra 2018/2017/2016, ICIC 2022/2021, etc. .

Educational experience

Work experience

Research Field

  • Bioinformatics; machine learning

Honors obtained

Academic Programs

Scientific research

  • 1.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 2.Liangjie Sun, Yushan Qiu*, 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. 3.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. （JCR Q1，IF 2020：11.622） 4. Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu*. A High-Order Norm-Product Regularized Multiple Kernel Learning Framework for Kernel Optimization, Information Sciences, 2022. 606:72-97. （JCR Q1） 5. Ying Yang, Sha Tian, Yushan Qiu*, 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. (JCR Q1，IF 2021：11.622） 6. 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. （JCR Q1，IF 2020：11.622） 7. 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. （JCR Q1，IF 2020：11.622） 8.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. （JCR Q1，IF 2020: 3.015） 9. 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. （JCR Q1，IF 2020: 4.942） 10. Hao Jiang, Yushan Qiu(*, 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. （JCR Q1，IF 2020: 4.942） 11. 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. （JCR: Q2, IF 2018: 2.048） 12. Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu*. Stationary mahalanobis kernel SVM for credit risk evaluation. Applied Soft Computing, 2018, 71: 407-417. （JCR: Q1, IF 2018: 4.873）

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