2017.01-2017.12计算生物学的若干问题研究，引智项目，负责人 项目编号：C2017021,

2014.01-2016.12 基于机器学习的蛋白质翻译后修饰位点预测的研究 国家自然科学青年基金 负责人 项目编号:11301024,

2016.01-2016.12整合成多标签学习问题的蛋白质修饰研究，基础科研业务费 负责人 项目编号: FRF-BR-15-075A,

2017.12-2018.11多示例多标签学习在蛋白质组学中的研究与应用，基础科研业务费 负责人 项目编号： FRF-TP-17-024A2,

2018.01-2018.12 深度学习前言与应用 引智项目，负责人 项目编号：C2018033,

Yan Xu*, Jun Ding, Qiang Huang, Nai-Yang Deng. Prediction of Protein Methylation Sites using Conditional Random Field. Protein and Peptide Letters, 2013, 20(1), 71-77..

Yan Xu*, Jun Ding, Ling-Yun Wu, Kuo-Chen Chou. iSNO-PseAAC: Predict Cysteine S-nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition, PLoS One, 2013.Feb. 8(2), e55844..

Yan Xu*, Xiao-Jian Shao, Ling-Yun Wu, Nai-Yang Deng, Kuo-Chen Chou. iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins. PeerJ. 2013 Oct 3. 1:e171..

Yan Xu*, Xiao-Bo Wang, Yong-Cui Wang, Ying-Jie Tian, Xiao-Jian Shao, Ling-Yun Wu, Nai-Yang Deng. Prediction of Posttranslational Modification Sites from Sequences with Kernel Methods. Journal of Theoretical Biology. 2014. March 7. 7:344, 78-87..

Yan Xu*, Xin Wen, Xiao-Jian Shao, Nai-Yang Deng, Kuo-Chen Chou. iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition. International Journal of Molecular Sciences. 2014, May, 5. 15:7594-7610..

2014.05 《大学文科数学》(上、下册), 主编, 科学出版社