[32] Yongxian Fan*, and Hao Gong. An improved tensor network for image classification in histopathology, The 5th Chinese Conference on Pattern Recognition and Computer Vision, 2022, Accepted.
[31] Yongxian Fan*, and Binchao Peng. StackEPI: identification of cell line-specific enhancer-promoter interactions based on stacking ensemble learning, BMC Bioinformatics, 2022, https://doi.org/10.1186/s12859-022-04821-9.
[30] Yongxian Fan*, Guicong Sun, and Xiaoyong Pan*. ELMo4m6A: a contextual language embedding-based predictor for detecting RNA N6-methyladenosine sites, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, https://doi.org/10.1109/TCBB.2022.3173323.
[29] Wenfeng Xu, and Yongxian Fan*. Intrusion Detection Systems Based on Logarithmic Autoencoder and XGBoost, Security and Communication Networks, 2022, https://doi.org/10.1155/2022/9068724.
[28] Yongxian Fan*, and Wanru Wang. Using Multi-Layer Perceptron to identify origins of replication in eukaryotes via informative features, BMC Bioinformatics , 2021, 22:516, DOI:10.1186/s12859-021-04431-x.
[27] Yongxian Fan*, and Haibo Xu. Prediction of off-target Effects in CRISPR/CAS9 System by Ensemble Learning, Current Bioinformatics , 2021, 16: 9.
[26] Yongxian Fan*, Meijun Chen, and Xiaoyong Pan*. GCRFLDA: Scoring lncRNA-disease associations using graph convolution matrix completion with conditional random field, Briefings in Bioinformatics , 2021, DOI: 10.1093/bib/bbab361.
[25] Wenfeng Xu, Yongxian Fan*, and Changyong Li. I2DS: Interpretable Intrusion Detection System using autoencoder and additive tree, Security and Communication Networks , 2021, DOI:10.1155/2021/5564354.
[24] Changyong Li, Yongxian Fan*, and Xiaodong Cai. PyConvU-Net: a lightweight and multiscale network for biomedical image segmentation, BMC Bioinformatics , 2021, 22:14, DOI:10.1186/s12859-020-03943-2.
[23] Yongxian Fan*, Meijun Chen, and Qingqi Zhu. lncLocPred: Predicting LncRNA Subcellular Localization Using Multiple Sequence Feature Information, IEEE Access , 2020, DOI: 10.1109/ACCESS.2020.3007317.
[22] Yongxian Fan*, Meijun Chen, Qingqi Zhu, and Wanru Wang. Inferring Disease-associated Microbes Based on Multi-data Integration and Network Consistency Projection, Frontiers in Bioengineering and Biotechnology , 2020, DOI: 10.3389/fbioe.2020.00831.
[21] Qingqi Zhu, Yongxian Fan*, and Xiaoyong Pan. Fusing multiple biological networks to effectively predict miRNA-disease associations, Current Bioinformatics , 2020, DOI : 10.2174/1574893615999200715165335.
[20] Yongxian Fan*, Wanru Wang, and Qingqi Zhu. iterb-PPse: Identification of transcriptional terminators in bacterial by incorporating nucleotide properties into PseKNC, PLoS One , 2020, https://doi.org/10.1371/journal.pone.0228479.
[19] Yongxian Fan*, Juan Cui, and Qingqi Zhu. Heterogeneous graph inference based on similarity network fusion for predicting lncRNA-miRNA interaction, RSC Advances, 2020, 10: 11634-11642.
[18] Yong-xian Fan*, Yongzhen Li, Huihua Yang, and Xiaoyong Pan*. CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning, IDEAL 2019. Lecture Notes in Computer Science , 2019, vol 11871, pp. 291–301, Springer, Cham.
[17] Yongxian Fan*, Qingqi Zhu, Chengwei Lv, and Xiaoyong Pan. Prediction of σ54 promoters in prokaryotes based on SVM–Adaboost, 2019 Chinese Automation Congress (CAC), 2019, pp. 4890-4895.
[16] Xiaoyong Pan, Yong-Xian Fan, Jue Jia, and Hong-Bin Shen*. Identifying RNA-binding proteins using multi-label deep learning, SCIENCE CHINA Information Sciences, 2019, 62(1): 019103, doi: 10.1007/s11432-018-9558-2.
[15] Yong-Xian Fan, Xiaoyong Pan, Yang Zhang, and Hong-Bin Shen*. LabCaS for ranking potential calpain substrate cleavage sites from amino acid sequence, In: Messer J. (eds) Calpain. Methods in Molecular Biology, 2019, 1915: 111-120. Springer, New York.
[14] 龚浩, 樊永显*. DNA4mcEL：基于核苷酸信息特征计算分析与预测DNA N4-甲基胞嘧啶位点, 中国生物化学与分子生物学报, 2019, 35(6): 633-647.
[13] 李永贞, 樊永显*, 杨辉华, KELMPSP: 基于核极限学习机的假尿苷修饰位点识别, 中国生物化学与分子生物学报, 2018, 34(7): 785-793.
[12] Xiaoyong Pan^, Yong-Xian Fan^, Junchi Yan, and Hong-Bin Shen*, IPMiner: Hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction, BMC Genomics, 2016, 17:582.
[11] 蔡国永, 吕瑞, 樊永显, 基于标签和因子分析的协同推荐方法, 北京邮电大学学报, 2015, 33(9): 34-38.
[10] Yong-Xian Fan and Hong-Bin Shen*, Predicting pupylation sites in prokaryotic proteins using pseudo-amino acid composition and extreme learning machine, Neurocomputing, 2014, 128: 267-272.
[9] Xiaoyong Pan*, Lin Zhu, Yong-Xian Fan, Junchi Yan, Predicting Protein-RNA Interaction Amino Acids using Random Forest Based on Submodularity Subset Selection, Computational Biology and Chemistry, 2014, 53: 324–330.
[8] 杨辉华*, 张晓凤, 樊永显*, 谢谱模, 褚小立, 基于一元线性回归的近红外光谱模型传递研究，分析化学, 2014, 42(9): 1229-1234.
[7] Yong-Xian Fan, Yang Zhang, and Hong-Bin Shen*, LabCaS: Labeling calpain substrate cleavage sites from amino acid sequence using conditional random fields, PROTEINS: Structure, Function, and Bioinformatics, 2013, 81: 622-634.
[6] Yong-Xian Fan, Jiangning Song, Chen Xu, and Hong-Bin Shen*, Predicting protein N-terminal signal peptides using position-specific amino acid propensities and conditional random fields, Current Bioinformatics, 2013, 8: 183-192.
[5] Ya-Nan Zhang^, Dong-Jun Yu^, Shu-Sen Li, Yong-Xian Fan, Yan Huang, and Hong-Bin Shen*, Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features, BMC Bioinformatics, 2012, 13: 118.
[4] Zhi Zheng, Youying Chen, Liping Chen, Gongde Guo, Yongxian Fan, and Xiangzeng Kong*, Signal-BNF: A Bayesian Network Fusing Approach to Predict Signal Peptides, Journal of Biomedicine and Biotechnology, 2012, Article ID 492174, 8 pages.
[3] Yong-Xian Fan, Jiangning Song, Xiangzeng Kong, and Hong-Bin Shen*, PredCSF: An integrated feature-based approach for predicting conotoxin superfamily, Protein and Peptide Letters, 2011, 18: 261-267.
[2] Jiang-Bo Yin^, Yong-Xian Fan^, and Hong-Bin Shen*, Conotoxin superfamily prediction using diffusion maps dimensionality reduction and subspace classifier, Current Protein and Peptide Science, 2011, 12: 580-588.
[1] 尹江波, 雷剑波, 樊永显, 沈红斌*, 基于扩散映射和dHKNN算法的芋螺毒素超家族预测, Chinese Conference on Pattern Recognition 2010 (CCPR2010), Chongqing, China, Oct 21-23, 2010.