教学团队现有科研骨干教师3名（其中正高1人，副高2人）。近5年承担各类纵/横项科研目十余项，发表论文15篇，出版教材专著1部，申请专利21项。团队教师高度重视指导学生参加全国科技竞赛，曾获2019华为软件精英挑战赛全国总决赛亚军；指导学生在多个A类会议上发表文章并做口头报告，曾获VCIP2018会议最佳学生论文奖。团队教师积极参与研究生课程教学，成果突出，同时在JCR一区、二区发表多篇高水平学术论文。

（1）主要学术论文

1. Tian Q, Zou J, Tang J, Fang Y, Yu Z, Fan S, MRCNN: a deep learning model for regression of genome-wide DNA methylation, BMC Genomics, 2019.4, 20(Suppl 2).

2. Fan S, Tang J, Li N, Zhao Y, Ai Z, Zhang K, Wang M, Du W, Wang W, Integrative analysis with expanded DNA methylation data reveals common key regulators and pathways in cancers, npj Genomic Medicine, 2019.2, 4(2)

3. Fan S, Tang J, Tian Q, Wu C, A robust fuzzy rule based integrative feature selection strategy for gene expression data in TCGA, BMC Medical Genomics, 2019.1, 12 (Suppl 1) :14

4. Fan S, Zeng X, A superpixel-based codebook model for real time foreground detection, 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) , May 2017

5. 凡时财, 曾祥峰, 周雪, 邹见效, 徐红兵. 融合超像素分割与码本模型的目标检测算法[J]. 电子科技大学学报, 2017.7, 46(4): 572-578.

6. Ai R, Hammaker D, Boyle D, Morgan R, Walsh A, Fan S, Firestein G, Wang W, Joint-specific DNA methylation and transcriptome signatures in rheumatoid arthritis identify distinct pathogenic processes, Nat. Commun.2016.6, 7:11849

7. Fan S, Li C,Ai R, Wang M, Firestein G.S, Wang W. Computationally expanding infinium HumanMethylation450 BeadChip array data to reveal distinct DNA methylation patterns of rheumatoid arthritis. Bioinformatics. 2016.6, 32(12):1773-1778.

8. Fan S, Huang K, Ai R, Wang M, Wang W. Predicting CpG methylation levels by integrating Infinium HumanMethylation450 BeadChip array data. Genomics. 2016.4, 107(4): 132-137.

9. Fan S, Chi W. Methods for genome-wide DNA methylation analysis in human cancer, Briefings in Functional Genomics,2016.11, (2016) 15 (6): 432-442

10. 凡时财，李承哲，裴云飞.人类基因组DNA甲基化数据分析的现状研究.中国科学.生命科学, 2015.5, 45:450-459