[1] Yi Sun; Lijun Cai; Bo Liao; Wen Zhu; Junlin Xu，A Robust Oversampling Approach for Class Imbalance Problem with Small Disjuncts.IEEE Transactions on Knowledge and Data Engineering, 2023, 35(6): 5550-5562(CCF A类)
[2]Y. Sun,L. Cai, B. Liao and W. Zhu,"Minority Sub-region Estimation-based Oversampling for ImbalanceLearning," in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2020.3010013.(CCF A类)
[3]Lijun Cai, Li Wang, Xiangzheng Fu, Chenxing Xia, Xiangxiang Zeng, Quan Zou,ITP-Pred: an interpretable method for predicting, therapeutic peptides withfused features low-dimension representation. Briefings in Bioinformatics, 2020,https://doi.org/10.1093/bib/bbaa367. (中科院一区，IF 2018：9.101)ESI高被引论文
[4]Xiangzheng Fu,LijunCai, Xiangxiang Zeng, Quan Zou, StackCPPred: a stacking and pairwise energycontent-based prediction of cell-penetrating peptides and their uptakeefficiency,Bioinformatics, Volume 36, Issue 10, 15 May 2020,Pages 3028–3034,https://doi.org/10.1093/bioinformatics/btaa131(生物信息学顶级期刊，中科院小类一区，IF2019: 5.61)
[5]Lijun Cai, Xuanbai Ren, Xiangzheng Fu, Li Peng, Mingyu Gao, Xiangxiang Zeng.iEnhancer-XG: interpretable sequence-based enhancers and their strengthpredictor,Bioinformatics, 2020,https://doi.org/10.1093/bioinformatics/btaa914(生物信息学顶级期刊，中科院小类一区，IF2019: 5.61)ESI高被引论文
[6]Junlin Xu,Lijun Cai, Bo Liao, Wen Zhu,JiaLiang Yang. CMF-Impute: an accurate imputation tool for single-cell RNA-seqdata. Bioinformatics, Volume 36, Issue 22-23, 1 December 2020, Pages 5563–5564, https://doi.org/10.1093/bioinformatics/btaa664.(生物信息学顶级期刊，中科院小类一区，IF2019: 5.61)
[7]Xianfang Tang,Lijun Cai, Yajie Meng, JunLinXu, Changcheng Lu and Jialiang Yang. Indicator Regularized Non-Negative MatrixFactorization Method-Based Drug Repurposing for COVID-19. Frontiers inImmunology, 2021. https://doi.org/10.3389/fimmu.2020.603615.(中科院二区顶刊，IF2019: 5.085)
[8]Wei Xia, Wen Zhu, Bo Liao, Min Chen,Lijun Cai,Lei Huang,Novel architecture for long short-term memory used in questionclassification, Neurocomputing, Volume 299, 2018,https://doi.org/10.1016/j.neucom.2018.03.020.(中科院二区顶刊，IF2019: 4.438)
[9]B. Liao, Y. Jiang, W. Liang, W. Zhu,L. Caiand Z. Cao, "Gene Selection Using Locality Sensitive LaplacianScore," in IEEE/ACM Transactions on Computational Biology andBioinformatics, vol. 11, no. 6, pp. 1146-1156, 1 Nov.-Dec. 2014, doi:10.1109/TCBB.2014.2328334. (CCF B类)
[10]Junlin Xu, Wen Zhu,Lijun Cai, Bo Liao,Yajie Meng, Ju Xiang, Dawei Yuan, Geng Tian, Jialiang Yang. "LRMCMDA:Predicting miRNA-Disease Association by Integrating Low-Rank Matrix CompletionWith miRNA and Disease Similarity Information," in IEEE Access, vol. 8,pp. 80728-80738, 2020, doi: 10.1109/ACCESS.2020.2990533.
[11]T. Meng,L. Cai, T. He, L. Chen and Z. Deng,"Local Higher-Order Community Detection Based on Fuzzy MembershipFunctions," in IEEE Access, vol. 7, pp. 128510-128525, 2019, doi:10.1109/ACCESS.2019.2939535.
[12]Weibiao Li, Bo Liao, Wen Zhu, Min Chen, Zejun Li,Xiaohui Wei, Lihong Peng, Guohua Huang,Lijun Cai& HaoWen Chen.Fisher Discrimination Regularized Robust Coding Based on a Local Center forTumor Classification. Scientific reports, 2018.
[13]Bo Li,Lijun Cai, Bo Liao, XiangzhengFu,Pingping Bing and Jialiang Yang. Prediction of Protein SubcellularLocalization Based on Fusion of Multi-view Features. Molecules, 2019https://doi.org/10.3390/molecules24050919.
[14]Changlong Gu, Bo Liao, Xiaoying Li,Lijun Cai,Zejun Li, Keqin Li , Jialiang Yang . Global network random walk for predictingpotential human lncRNA-disease associations. Sci Rep 7, 12442 (2017).https://doi.org/10.1038/s41598-017-12763-z.
[15]Junlin Xu,Lijun Cai,Bo Liao, Wen Zhu, PengWang, Yajie Meng, Jidong Lang, Geng Tian and Jialiang Yang.IdentifyingPotential miRNAs–Disease Associations WithProbability Matrix Factorization. Frontiers in Genetics, 2019.https://doi.org/10.3389/fgene.2019.01234.
[16]Xiangzheng Fu, Wen Zhu,Lijun Cai, Bo Liao,Lihong Peng, Yifan Chen and Jialiang Yang, Improved Pre-miRNAs IdentificationThrough Mutual Information of Pre-miRNA Sequences and Structures. Frontiers inGenetics, 2019.https://doi.org/10.3389/fgene.2019.00119.
[17]Peng Wang, Wen Zhu, Bo Liao,Lijun Cai,Lihong Peng and Jialiang Yang. Predicting Influenza Antigenicity by MatrixCompletion With Antigen and Antiserum Similarity. Frontiers in Genetics, 2018.https://doi.org/10.3389/fmicb.2018.02500.
[18]Bo Liao, Qilin Xiang,Lijun Cai, Zhi Cao, Anew graphical coding of DNA sequence and its similarity calculation, Physica A:Statistical Mechanics and its Applications,Volume 392, Issue 19, 2013,Pages4663-4667,ISSN 0378-4371,https://doi.org/10.1016/j.physa.2013.05.015.
[19]L. Chen, J. Zhang,L. Caiand Z. Deng,"Fast community detection based on distance dynamics," in Tsinghua Scienceand Technology, vol. 22, no. 6, pp. 564-585, December 2017, doi:10.23919/TST.2017.8195341.
[20]Zejun Li, BoLiao, Yun Lia, Wenhua Liu, Min Chen andLijun Cai. Gene functionprediction based on combining gene ontology hierarchy with multi-instance multi-labellearning. ROYAL SOCIETY OF CHEMISTRY, 2018. DOI: 10.1039/C8RA05122D.
[21]Xiangzheng Fu, Bo Liao, Wen Zhu andLijun Cai.New 3D graphical representation for RNA structure analysis and its applicationin the pre-miRNA identification of plants. ROYAL SOCIETY OF CHEMISTRY, 2018.DOI: 10.1039/C8RA04138E.
[22]Bo Liao, Sumei Ding, Haowen Chen, Zejun Li andLijunCai. Identifying human microRNA–disease associations by a new diffusion-basedmethod. Journal of Bioinformatics and Computational Biology, 2015.https://doi.org/10.1142/S0219720015500146.
[23]Min Chen, Xingguo Lu, Bo Liao, Zejun Li,LijunCai, Changlong Gu. Uncover miRNA-Disease Association by Exploiting GlobalNetwork Similarity. PLOS ONE, 2016. https://doi.org/10.1371/journal.pone.0166509.
[24]Bo Liao, Yan Jiang, Guanqun Yuan, Wen Zhu,LijunCai, Zhi Cao. Learning a Weighted Meta-Sample Based Parameter Free SparseRepresentation Classification for Microarray Data. PLOS ONE, August 12, 2014.https://doi.org/10.1371/journal.pone.0104314.
[25]Lei Chen, Jing Zhang,Lijun Cai, Rui Li,Tingqin He, Tao Meng，MTAD: A Multitarget Heuristic Algorithm for Virtual Machine Placement,International Journal of Distributed Sensor Networks, 2015.https://doi.org/10.1155/2015/679170.
