1996.9-2000.7，南昌大学，机电工程学院，本科/学士
2004.8-2007.2，西安电子科技大学，智能感知和图像理解教育部重点实验室，研究生/硕士 导师：焦李成教授
2007.3-2010.12,西安电子科技大学，智能感知和图像理解教育部重点实验室，研究生/博士 导师：焦李成教授
4）研究工作经历
2000.7-2004.7，空军试验训练基地，一区第三试验站，助理工程师
2004.8-2007.2，西安电子科技大学，智能感知和图像理解教育部重点实验室，硕士研究生
2007.3-2010.12，西安电子科技大学，智能感知和图像理解教育部重点实验室，博士研究生
2010.1-景德镇陶瓷学院，信息工程学院，教师
2014.4 –2015.4英国伯明翰大学， 计算机学院，访问学者
2018.10 -2018.11加拿大女王大学 加拿大癌症试验生物统计组 访问学者
2019.8 -2019.9黑山共和国下戈里察大学数学系生物信息学研究组访问学者
5）科研成果
贾建华著《谱聚类集成算法研究》天津大学出版社，2011年8月，独著。
Jianhua Jia,Peinuo Lv, Xin Wei,et.al.SNO-DCA: A Model for Predicting S-Nitrosylation Sites Based on Densely Connected Convolutional Networks And Attention Mechanism.Heliyon.2024,10(1):e23187.
Jianhua Jia,Yu Deng, Mengyue Yi,et.al.4mCPred-GSIMP: Predicting DNA N4-methylcytosine Sites in Mouse Genome with Multi-Scale Adaptive Features Extraction and Fusion.Mathematical Biosciences and Engineering.2023,Accept.
Jianhua Jia,Xiaojing Cao, Rufeng Lei.DLC-ac4C: A Prediction Model for N4-acetylcytidine Sites in Human mRNA Based on DenseNet and Bidirectional LSTM Methods. Current Genomics.2023,24(3):171-186.
Jianhua Jia, Genqiang Wu, Meifang Li.iGly-IDN: Identifying Lysine Glycation Sites in Proteins Based on Improved DenseNet. Journal of Computational Biology. 2023, Accepted
Jianhua Jia, Lulu Qin,Rufeng Lei.im5C-DSCGA: A hybrid framework based on improved DenseNet and attention mechanism for identifying 5-methylcytosine sites in human RNA.Frontiers in Bioscience-Landmark.2023, Accepted
Jianhua Jia, Zhangying Wei, Mingwei Sun.EMDL-m6Am: identifying n6,2’-O-dimethyladenosine sites based on stacking ensemble deep learning.BMC Bioinformatics. 2023, 24:397.
Jianhua Jia, Zhangying Wei, Xiaojing Cao.EMDL-ac4C: identifying n4-acetylcytidine based on ensemble two-branch residual connection DenseNet and attention.Frontiers in Genetics. 2023, 14, doi: 10.3389/fgene.2023.1232038.
贾建华，陈天，吴跟强等.m6AmTwins:基于深度学习和Twins网络的m6Am位点预测.中国生物化学与分子生物学报.2023,39(6):889-895.
Jianhua Jia, Lulu Qin,Rufeng Lei.DGA-5mC: a 5-Methylcytosine site prediction model based on theimproved DenseNet and bidirectional GRU method.Mathematical Biosciences and Engineering. 2023, 20(6): 9759–9780.
Jianhua Jia, Rufeng Lei, Lulu Qin,et.al.iEnhancer-DCSV: Predicting enhancers and their strength based on DenseNet and improved convolutional block attention module.Frontiers in Genetics. 2023, 14.DOI:10.3389/fgene.2023.1132018.
Jianhua Jia, Mingwei Sun, Genqiang Wu, et.al.DeepDN_iGlu: Prediction of lysine glutarylation sites based on attention residual learning method and DenseNet. Mathematical Biosciences and Engineering.2023.20(2):2815-2830.
Jianhua Jia,Genqiang Wu, Meifang Li,et.al.pSuc-EDBAM: Predicting lysine succinylation sites in proteins based on ensemble dense blocks and an attention module.BMC Bioinformatics.2022.10(23):450.
Jianhua Jia,Genqiang Wu, Wangren Qiu.pSuc-FFSEA: Predicting Lysine Succinylation Sites in Proteins Based on Feature Fusion and Stacking Ensemble Algorithm.Frontiers in Cell and Developmental Biology. 2022,10(5):894874.
Jianhua Jia,Yanxia Shen, Wangren Qiu. Identifying lysine succinylation sites in proteins by broad learning system and optimizing imbalanced training dataset via randomly labeling samples. Wuhan University of Natural Science. 2021,26(1):081-088.
贾建华，魏欣.iSulf_wide-PseAAC:基于集成支持向量机的蛋白质S-亚磺酰化预测方法.中国生物化学与分子生物学报.2021,37(6):822-829.
Jianhua Jia,Xiaoyan Li,Wangren Qiu,et.al.iPPI-PseAAC(CGR):identify protein-protein interactions by incorporating chaos game representation into PseAAC.Journal of Theoretical Biology,2019,1(460):195-203.
JianhuaJia,Liuxia Zhang, Zi, Liu,et.al.pSumo-CD: Predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC. Bioinformatics, 2016,32(20):3133-3141.(SCI indexed, IF:5.766)
Jianhua Jia,Zi Liu, Xuan Xiao.et. al.iCar-PseCp: identify carbonylation sites in proteins by Monto Carlo sampling and incorporating sequence coupled effects into general PseAAC. Oncotarget, 2016,7(23):34558-34570.(SCI:000377752100079, IF:5.008).
Jianhua Jia,Zi Liu, Xuan Xiao.et. al.pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach. Journal of Theoretical Biology.2016, 394(4):223-230.(SCI:000379888800020,IF:2.049).(入选ESI前1%高被引论文，入选ESIfast-breaking paper).
Jianhua Jia,Zi Liu, Xuan Xiao.et. al.iPPBS-Opt: Asequence-basedensembleclassifier foridentifyingprotein-proteinbindingsites byoptimizingimbalancedtrainingdatasets.Molecules.2016,21(1), 95.(SCI:000369486800019, IF:2.465).(入选ESItop papers).
Jianhua Jia,Zi Liu, Xuan Xiao.et.al.iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset. Analytical Biochemistry.2016,497(3):48-56.(SCI indexed:000370909900008, IF:2.243).
Jianhua Jia,Zi Liu, Xuan Xiao.et.al. iPPI-Esml:An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical propertiers and wavelet transform into PseAAC.Journal of Theoretical Biology.2015, 21(337):47-56.(SCI:000355241600005. IF:2.049).(入选2015年中国百篇最具国际影响力的论文，ESI前1%高被引论文)
Jianhua Jia.Zi Liu, Xiang Chen.et.al.Prediction of Protein-Protein Interactions using Chaos Game Representation and wavelet transform via random forests. Genetics and Molecular Research.2015,14(4):11791-11805.(SCI indexed：000365922800013. IF: 0.764)
Jianhua Jia,Xuan Xiao,Bingxiang Liu. Prediction of Protein-Protein Interactions with Physicochemical Descriptors and Wavelet Transform via Random Forests.Journal of Laboratory Automation(JALA). 2016, 21(3): 368-377. (SCI: 000377095200003. IF:1.297)
Jianhua Jia,Zi Liu, Xuan Xiao.et.al. Identification of protein-protein binding sites by incorporating the physicochemical properties and stationary wavelet transforms into pseudo amino acid composition. Journal of Biomolecular Structure & Dynamics. 2016,34(9):1946-1961.(SCI indexed. IF:2.300).
Jianhua Jia,Xuan Xiao, Bingxiang Liu,et.al. Bagging-based Spectral Clustering Ensemble Selection. Pattern Recognition Letters, 2011,32 (10):1456-1467.(SCI: 000292236500005,EI: 20112114009105. IF:1.586).
Jianhua Jia, Licheng Jiao, Xia Chang. Soft Spectral Clustering Ensemble Applied to Image Segmentation. Frontiers of Computer Science in China, Springer Press, 2011,5(1):66-78.(SCI:000292506200007,EI:20110913712647).
贾建华,焦李成.空间一致性约束谱聚类算法用于图像分割.红外与毫米波学报, 2010, 29 (1): 69-74.(SCI: 000275511100015, EI:20101612868824)
贾建华,焦李成,黄文涛.一种基于质心不变特性的仿射不变纹理特征提取算法.电子学报, 2008, 36 (10): 1910-1915.(EI: 20084911765012)
Jia Jianhua, Jiao Licheng, Chang Xia. Image segmentation via meanshift and loopy belief propagation. Wuhan University Journal of Natural Sciences, Springer Press, 2010, 15 (1): 043-050.
贾建华，焦李成.图像分割的谱聚类集成算法.西安交通大学学报. 2010, 44(6): 93-98.(EI: 20102713062996).
Xu Yuanchun,Jia Jianhua. Adaptive spectral clustering ensemble selection via resampling and population-based incremental learning algorithm.Wuhan University Journal of Natural Sciences, Springer Press, 2011, 16(3):228-236.
Jianhua Jia, Xuan Xiao, Binxiang Liu. Similarity-based spectral clustering ensemble selection. Proceedings of the 9thInternational Conference on Fuzzy Systems and Knowledge Discovery(FSKD 2012).2012:1071-1074.
