个人简介
2013年6月高中毕业于厦门市集美中学，2017年7月本科毕业于厦门大学自动化系，2017年9月进入清华大学自动化系直接攻读博士学位，2021年12月提前通过毕业答辩，2022年1月加入南开大学数学科学学院任副教授。
曾获得 4 次国家奖学金、2017年厦门大学文庆奖学金（全校共10个名额）、2021年清华大学“学术新秀”称号（全校共10个名额）等多项奖学金和荣誉。曾在 10 余项省级及以上的科创比赛中获奖。曾指导多名本科生及研究生，其指导成果发表于Nature Machine Intelligence、Nucleic Acids Research、BMC Bioinformatics，并获评清华大学本科生优秀毕业设计。
教育经历
2013.09 - 2017.07 厦门大学自动化系，本科
2017.09 - 2021.12 清华大学自动化系，博士，导师：Prof. Rui Jiang
2020.08 - 2021.08 清华全球私募股权研究院，私募基金综合能力提升项目
工作经历
2022.01 - 南开大学数学科学学院，副教授
学术交流
2019.08 - 2020.01 香港中文大学统计系，导师：Prof. Zhixiang Lin
2020.02 - 2020.08 斯坦福大学统计系，导师：Wing Hung Wong院士，因疫情取消
近期论文
查看导师最新文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
1. Shengquan Chen†, Guanao Yan†, Wenyu Zhang, Jinzhao Li, Rui Jiang*, Zhixiang Lin*. RA3 is a reference-guided approach for epigenetic characterization of single cells. Nature Communications, 2021, 12:2177. (SCI, IF=14.919)
2. Shengquan Chen, Qiao Liu, Xuejian Cui, Zhanying Feng, Chunquan Li, Xiaowo Wang, Xuegong Zhang, Yong Wang, Rui Jiang*. OpenAnnotate: a web server to annotate the chromatin accessibility of genomic regions. Nucleic Acids Research, 2021,49(W1):W483-W490. (SCI, IF=16.971)
3. Xiaoyang Chen†, Shengquan Chen†, Shuang Song, Zijing Gao, Lin Hou, Xuegong Zhang, Hairong Lv, Rui Jiang*. Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding. Nature Machine Intelligence, 2022, 4:116–126. (SCI, IF=15.508)
4. Wanwen Zeng†, Shengquan Chen†, Xuejian Cui†, Xiaoyang Chen, Zijing Gao, Rui Jiang*. SilencerDB: a comprehensive database of silencers. Nucleic Acids Research, 2021, 49(D1):D221-D228. (SCI, IF=16.971)
5. Shengquan Chen, Mingxin Gan, Hairong Lv, Rui Jiang*. DeepCAPE: a deep convolutional neural network for the accurate prediction of enhancers. Genomics, Proteomics & Bioinformatics, 2021, doi:10.1016/j.gpb.2019.04.006. (SCI, IF=7.691)
6. Shengquan Chen, Boheng Zhang, Xiaoyang Chen, Xuegong Zhang, Rui Jiang*. stPlus: reference-based enhancement of spatial transcriptomics. ISMB/ECCB 2021, Bioinformatics, 2021, 37(S1):i299-i307. (SCI, IF=6.937)
7. Shengquan Chen, Kui Hua, Hongfei Cui, Rui Jiang*. VPAC: Variational projection for accurate clustering of single-cell transcriptomic data. BMC Bioinformatics, 2019, 20(7):139-151. (SCI, IF=3.169)
8. Qiao Liu,Shengquan Chen, Rui Jiang*, Wing Hong Wong*. Simultaneous deep generative modeling and clustering of single cell genomic data. Nature Machine Intelligence, 2021, 3:536-544. (SCI, IF=15.508)
9. Xiaoyang Chen, Shengquan Chen, Rui Jiang*. EnClaSC: A novel ensemble approach for accurate and robust cell-type classification of single-cell transcriptomes. BMC Bioinformatics, 2020, 21(13):1-16. (SCI, IF=3.169)
10. Xu Min, Wanwen Zeng, Shengquan Chen, Ning Chen, Ting Chen, Rui Jiang*. Predicting enhancers with deep convolutional neural networks. BMC Bioinformatics, 2017, 18(13):35-46. (SCI, IF=3.169)
11. Shaoming Song, Hongfei Cui, Shengquan Chen, Qiao Liu, Rui Jiang*. EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information. Quantitative Biology, 2019, 7(3):233-243. (CSCD)
12. Xi Xi, Haochen Li, Shengquan Chen, Tingting Lv, Tianxing Ma, Rui Jiang, Ping Zhang, Wing Hung Wong*, Xuegong Zhang*. Unfolding the genotype-to-phenotype black box of cardiovascular diseases through cross-scale modeling. In submission.
13. Sijie Chen, Zheng Wei, Yang Chen, Kui Hua, Wei Zhang, Changyi Liu, Haoxiang Gao, Hao Sun, Zhenyi Wang, Qijin Yin, Shengquan Chen, Shaoming Song, Chen Feng, Hairong Lv, Rui Jiang, Xiaowo Wang, Jin Gu, Xuegong Zhang*. SIP: an interchangeable pipeline for scRNA-seq data processing. In submission.
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