基本信息

胡伦    研究员    博导    中国科学院新疆理化技术研究所
电子邮件: hulun@ms.xjb.ac.cn
通信地址: 新疆乌鲁木齐市北京南路40-1号
邮政编码: 830011

研究领域

​主要从事大规模复杂网络特征分析和高效学习方法研究及其在生物信息方面的应用,建立了复杂网络智能分析的系列模型,从理论层面认知和深入阐述了多源异构信息融合下对模型分析性能的影响,为社团发现和链接预测等典型分析场景提供了有效的解决方案,并将其应用在解决生物信息领域等相关问题中,取得了一系列创新的结果。目前已在IEEE系列汇刊(TKDETFSTCYBTSCTNSETCBBTNB)Briefings in BioinformaticsBioinformatics和自动化学报(英文版)等国际重要期刊和会议上累计发表五十余篇论文,先后主持国家、省部级基金项目4项,参与国家重点研发计划1项,并于2020年入选新疆杰出青年科技人才。担任PLOS ONEFrontiers in Neurorobotics的编委,先后担任IEEE SMC 2020ICIC 2020IJCNN 2021等国际会议的分会主席,担任IEEE BIBM 2021程序委员会委员。

招生信息

   
招生专业
081203-计算机应用技术
招生方向
生物信息、大数据分析、机器学习

教育背景

2011-02--2015-05   香港理工大学   博士研究生
2007-09--2008-10   香港理工大学   硕士研究生
2002-09--2006-06   华中科技大学   学士
学历
研究生

学位
博士

工作经历

   
工作简历
2020-07~现在, 中国科学院新疆理化技术研究所, 研究员
2017-08~2018-01,香港城市大学, 高级研究助理
2015-07~2020-06,武汉理工大学, 副教授
社会兼职
2020-04-03-今,Frontiers in Neurorobotics, 评审编辑

出版信息

   
发表论文
[1] Hu, Lun, Yang, Shicheng, Luo, Xin, Yuan, Huaqiang, Sedraoui, Khaled, Zhou, MengChu. A Distributed Framework for Large-scale Protein-protein Interaction Data Analysis and Prediction Using MapReduce. IEEE-CAA JOURNAL OF AUTOMATICA SINICA[J]. 2022, 9(1): 160-172, [2] Zhao, BoWei, You, ZhuHong, Hu, Lun, Guo, ZhenHao, Wang, Lei, Chen, ZhanHeng, Wong, Leon. A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning. CANCERS[J]. 2021, 13(9): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123765/.
[3] Li, Zhenfeng, Hu, Lun, Tang, Zehai, Zhao, Cheng. Predicting HIV-1 Protease Cleavage Sites With Positive-Unlabeled Learning. FRONTIERS IN GENETICS[J]. 2021, 12: http://dx.doi.org/10.3389/fgene.2021.658078.
[4] Hu, Lun, Wang, Xiaojuan, Huang, YuAn, Hu, Pengwei, You, ZhuHong. A survey on computational models for predicting protein-protein interactions. BRIEFINGS IN BIOINFORMATICSnull. 2021, 22(5): http://dx.doi.org/10.1093/bib/bbab036.
[5] Hu, Lun, Pan, Xiangyu, Yan, Hong, Hu, Pengwei, He, Tiantian. Exploiting higher-order patterns for community detection in attributed graphs. INTEGRATED COMPUTER-AIDED ENGINEERING[J]. 2021, 28(2): 207-218, https://www.webofscience.com/wos/woscc/full-record/WOS:000626773100007.
[6] Hu, Lun, Zhang, Jun, Pan, Xiangyu, Yan, Hong, You, ZhuHong. HiSCF: leveraging higher-order structures for clustering analysis in biological networks. BIOINFORMATICS[J]. 2021, 37(4): 542-550, http://dx.doi.org/10.1093/bioinformatics/btaa775.
[7] Hu, Lun, Chen, Qiang, Qiao, Liyuan, Du, Le, Ye, Rui. Automatic Detection of Melanins and Sebums from Skin Images Using a Generative Adversarial Network. COGNITIVE COMPUTATION. 2021, http://dx.doi.org/10.1007/s12559-021-09870-5.
[8] Su, XiaoRui, You, ZhuHong, Hu, Lun, Huang, YuAn, Wang, Yi, Yi, HaiCheng. An Efficient Computational Model for Large-Scale Prediction of Protein-Protein Interactions Based on Accurate and Scalable Graph Embedding. FRONTIERS IN GENETICS[J]. 2021, 12: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953052/.
[9] Xin Luo. Generalized Nesterov’s Acceleration-incorporated, Non-negative and Adaptive Latent Factor Analysis. IEEE Transactions on Services Computing. 2021, [10] Niu, Zhaomeng, Hu, Lun, Jeong, David C, Brickman, Jared, Stapleton, Jerod L. An Experimental Investigation into Promoting Mental Health Service Use on Social Media: Effects of Source and Comments. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH[J]. 2020, 17(21): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663063/.
[11] Hu, Lun, Chan, Keith C C, Yuan, Xiaohui, Xiong, Shengwu. A Variational Bayesian Framework for Cluster Analysis in a Complex Network. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING[J]. 2020, 32(11): 2115-2128, https://www.webofscience.com/wos/woscc/full-record/WOS:000576417000005.
[12] Luo, Xin, Zhou, MengChu, Li, Shuai, Hu, Lun, Shang, Mingsheng. Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2020, 50(5): 1844-1855, http://dx.doi.org/10.1109/TCYB.2019.2894283.
[13] Xin Luo. Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites.. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2019, [14] Gan, Yangjing, Rong, Yi, Huang, Fei, Hu, Lun, Yu, Xiaohan, Duan, Pengfei, Xiong, Shengwu, Liu, Haiping, Peng, Jing, Yuan, Xiaohui. Automatic hierarchy classification in venation networks using directional morphological filtering for hierarchical structure traits extraction. COMPUTATIONAL BIOLOGY AND CHEMISTRY[J]. 2019, 80: 187-194, http://dx.doi.org/10.1016/j.compbiolchem.2019.03.012.
[15] Hu, Lun, Yuan, Xiaohui, Liu, Xing, Xiong, Shengwu, Luo, Xin. Efficiently Detecting Protein Complexes from Protein Interaction Networks via Alternating Direction Method of Multipliers. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2019, 16(6): 1922-1935, [16] Xing, Wenhui, Yuan, Xiaohui, Li, Lin, Hu, Lun, Peng, Jing. Phenotype Extraction Extraction Based on Word Embedding to Sentence Embedding Cascaded Approach. IEEE TRANSACTIONS ON NANOBIOSCIENCE[J]. 2018, 17(3): 172-180, https://www.webofscience.com/wos/woscc/full-record/WOS:000440680400003.
[17] Xing, Wenhui, Qi, Junsheng, Yuan, Xiaohui, Li, Lin, Zhang, Xiaoyu, Fu, Yuhua, Xiong, Shengwu, Hu, Lun, Peng, Jing. A gene-phenotype relationship extraction pipeline from the biomedical literature using a representation learning approach. BIOINFORMATICS[J]. 2018, 34(13): 386-394, https://www.webofscience.com/wos/woscc/full-record/WOS:000438247800044.
[18] He, Tiantian, Hu, Lun, Chan, Keith C C, Hu, Pengwei. Learning Latent Factors for Community Identification and Summarization. IEEE ACCESS[J]. 2018, 6: 30137-30148, https://doaj.org/article/aa6dc1cb281b4092abb8bb68ff3a666d.
[19] Hu, Lun, Yuan, Xiaohui, Hu, Pengwei, Chan, Keith C C. Efficiently predicting large-scale protein-protein interactions using MapReduce. COMPUTATIONAL BIOLOGY AND CHEMISTRY[J]. 2017, 69: 202-206, http://dx.doi.org/10.1016/j.compbiolchem.2017.03.009.
[20] Hu, Lun, Chan, Keith C C. Extracting Coevolutionary Features from Protein Sequences for Predicting Protein-Protein Interactions. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS[J]. 2017, 14(1): 155-166, https://www.webofscience.com/wos/woscc/full-record/WOS:000395676900015.

科研活动

   
科研项目
( 1 ) 大规模蛋白质相互作用网络中可重叠复合物的识别算法研究, 主持, 国家级, 2017-01--2019-12
( 2 ) 基于生成式概率模型的大规模复杂网络聚类分析, 主持, 省级, 2016-01--2017-12
( 3 ) 藏文文献资源数字化技术集成与应用, 参与, 国家级, 2017-12--2020-12
( 4 ) 中国科学院率先行动"****"(B类), 主持, 部委级, 2020-07--2022-06

指导学生

现指导学生

苏小芮  博士研究生  081203-计算机应用技术  

张瀚元  博士研究生  081203-计算机应用技术  

张梦龙  硕士研究生  081203-计算机应用技术  

赵博伟  博士研究生  081203-计算机应用技术