邱育珊，博士，深圳大学数学科学学院副教授、博导、硕导。获得“深圳市优秀青年基金”项目资助，入选深圳市海外高层次人才、深圳大学“荔园优青”。2015年8月毕业于香港大学获博士学位，随后在美国西北大学、贝勒医学院从事博士后工作。2016年9月加入深圳大学任助理教授，2022年7月晋升长聘副教授。研究方向包括生物信息学，智能计算方法，生物医药大数据的数据分析等。目前担任 CCF生物信息学专业委员会委员、CAAI生物信息学与人工生命专业委员会委员、中国生物工程学会计算生物学与生物信息学专业委员会委员。主持国家级自然科学基金3项（面上项目2项，青年项目1项）和多项省部级项目。
招生信息：招收生物信息与机器学习方向的硕士研究生与博士研究生，要求理论基础扎实，编程能力强，对科研感兴趣并能做到刻苦钻研
Email：yushan.qiu@szu.edu.cn
部分科研项目：
国家自然科学基金面上项目: 62673338，2027.01-2030.12 （65万）
国家自然科学基金面上项目: 62372308，2024.01-2027.12 （65万）
国家自然科学基金青年项目: 62002234，2020.01-2023.12 （30万）
深圳市科创局优秀青年基金项目：RCYX20231211090244048，2024.06-2027.06 （200万）
广东省自然科学基金面上项目：2024A1515010113， 2024.01-2026.12 （15万）
部分期刊论文列表：
1. Hui Yuan, Mingzhu Liu, Yushan Qiu(*通讯作者), Wai-Ki Ching, Quan Zou, PLNMFG: Pseudo-label guided non-negative matrix factorization model with graph constraint for single-cell multi-omics data clustering. PLoS Computational Biology, 2025, 21(8): e1013375.
2. Yangsong He, Zheng-Jian Bai, Wai-Ki Ching, Quan Zou, Yushan Qiu. APDCA: An accurate and effective method for predicting associations between RBPs and AS-events during epithelial-mesenchymal transition. PLoS Computational Biology, 2025, 21(11): e1013665
3. Yushan Qiu, Lingfei Yang, Hao Jiang, Quan Zou.scTPC: a novel semisupervised deep clustering model for scRNA-seq data. Bioinformatics, 2024, 40(5):btae293.
4. 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.
5. 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. https://doi.org/10.1371/journal.pcbi.1010939
6.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, 24(3): bbad149.
7. 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.
8. 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.
9. Xiaoqing Cheng, Chang Yan, Yushan Qiu(*通讯作者), Hao Jiang, schois: determining cell heterogeneity through hierarchical clustering based on optimal imputation strategy, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, doi: 10.1109/TCBB.2022.3203592.
10. 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.
