個人經歷
教育經歷 Education Experience
2008年-2010年 西安電子科技大學計算機學院 碩士
2010年-2014年 德國柏林自由大學計算機與數學學院 博士
工作經歷 Work Experience
研究方向
數據挖掘基礎與套用
1、數據挖掘、機器學習理論與方法
2、圖挖掘技術及社交網路數據分析
3、文本挖掘方法
生物數據分析及在疾病中的套用
1、生物數據網路建模與高效分析算法
2、癌症疾病中模式挖掘與分析方法
3、基因組轉座子分析方法
圖論及其算法的套用
1、圖同構算法
2、複雜網路拓撲結構特徵分析
學術成果
Academic Achievements
最近更新於2019年3月27日
[18] Jialu Hu, Jingru Wang, Xuequn Shang, MD-SVM: A novel SVM-based algorithm for the motif discovery of transcription factor binding sites, BMC Systems Biology, (2019), 20(7)
[17] Jialu Hu, Yan Zheng, and Xuequn Shang, MiteFinderII: A novel tool to identify miniature inverted-repeat transposable elementshidden in eukaryotic genomes, BMC Medical Genomics (2018), 11(5):101
[16] Jialu Hu, Yiqun Gao, Xuequn Shang, KF-finder: Identification of key factors from host-microbial networks in cervical cancer, BMC Systems Biology (2018) ,12(4):54
[15] Jialu Hu, Yiqun Gao, Junhao He, Yan Zheng and Xuequn Shang, WebNetCoffee: a web-based application to identify functionally conserved proteins from multiple PPI networks,BMC Bioinformatics (2018), 19(1):422
[14] Hu J., He J., Gao Y., Zheng Y., Shang X. NetCoffee2: A Novel Global Alignment Algorithm for Multiple PPI Networks Based on Graph Feature Vectors. In: Huang DS., Jo KH., Zhang XL. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science, vol 10955. pp 241-246, Springer, Cham
[13] Jialu Hu, Yan Zheng, and Xuequn Shang. MiteFinder: A fast approach to identify miniature inverted-repeat transposable elements on a genome-wide scale. IEEE International Conference on Bioinformatics and Biomedicine (BIBM2017), Kansas city, Nov. 13-16, 2017:164-168
[12] Jialu Hu, Xuequn Shang, Detection of Network Motif Based on A Novel Graph Canonization Algorithm from Transcriptional Regulation Networks, Molecules(2017), 22(12),2194
[11] Khiem Lam, Dariia Vyshenska, Jialu Hu el ta. Transkingdom network reveals bacterial players associated with cervical cancer gene expression program, PEERJ, 2018, 6:e5590, doi:10.7717/peerj.5590
[10] Danelishvili, L and Shulzhenko, N and Jjj, Chinison and Babrak, L and Hu, J. and Morgun, A and Burrows, G and Bermudez, L. E., "Mycobacterium tuberculosis proteome response to anti-tuberculosis compounds reveals metabolic "escape" pathways that prolong bacterial survival", Antimicrobial Agents & Chemotherapy, 2017.
[9] Jialu Hu, Birte Kehr and Knut Reinert, NetCoffee: a fast and accurate global alignment approach to identify functionally conserved proteins in multiple networks, Bioinformatics (2014) 30 (4): 540-548, doi: 10.1093 /bioinformatics / btt715 (IF=7.307)
[7] Jialu Hu and Knut Reinert, LocalAli: an evolutionary-based local alignment approach to identify functionally conserved modules in multiple networks, Bioinformatics (2015) 31 (3): 363-372, doi:10.1093/bioinformatics/btu652 (IF=7.307)
[6] Jialu Hu, Birte Kehr, and Knut Reinert, M-NetAligner: a novel global alignment approach to identify functional orthologs in multiple networks, 17th Annual International Conference on Research in Computational Molecular Biology (RECOMB) 2013, Beijing, Apr 7-10, 2013, P207
[5] Jiajie Peng, Qianqian Li, Bolin Chen, Jialu Hu, Xuequn Shang, Analyzing factors involved in the HPO-based semantic similarity calculation, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016, Shenzhen, Dec, DOI: 10.1109/BIBM.2016.7822766
[4] Jialu Hu, Khiem Lam, Xiaoxi Dong, Heidi Lyng, Natalia Shulzhenko, and Andrey Morgun, Identification of bacterial pathogens from host-microbe interaction networks, CGRB fall conference, Corvallis, Sep 18, 2015
[3] Khiem Lam, Jialu Hu, Xiaoxi Dong, Heidi Lyng, Natalia Shulzhenko, and Andrey Morgun, The Microbiome of Cervical Cancer, Microbiome of cervical cancer, Symposium on Host-Microbe Systems Biology: Synthesis and Selection of Host-Microbe Systems, Eugen, July 31-August 2, 2015
[2] Jialu Hu, Lin Gao, and Guimin Qin, Evaluation of subgraph searching algorithms detecting network motif in biological networks, Frontiers of Computer Science in China (2009) 3(3):412-416
[1] Qin Gui-min,Hu Jia-lu,Gao Lin,A review on algorithms for network motif discovery in biological networks,Chinese Journal of Electronics(2009)37(10):2258-2265