厦门大学信息学院计算机系教授,博士生导师。2000年毕业于华中理工大学生物医学工程系,获工学学士;2007毕业于华中科技大学控制科学与工程系,获工学博士学位;2007-2009在北京大学信息学院计算机系从事博士后工作;2009年进入厦门大学信息学院计算系工作;2014-2015年赴伊利诺伊香槟大学分校电子与计算机工程访学。主要研究方向为计算智能,计算理论,数据挖掘,生物信息处理,移动与微传感技术等。近年发表SCI收录论文四十多篇,其中包括 Bioinformatics、Briefings in Bioinformatics、Advanced Optical Materials、IEEE Transactions on Nanobioscience、Information Science等学术期刊。多次担任IEEE Transactions on Nanobioscience、NeuroComputing、中国科学等杂志审稿人,受邀担任BICTA、ACMC等国际会议程序委员会委员。主持包括国家重点研究计划课题、国家自然科学基金、十三五国家海洋经济创新发展区域示范项目子项目在内的多个国家和企业科研项目,获省自然科学奖一等奖、省科技进步奖二等奖和教育部自然科学二等奖各1项,获苏州市优秀科技镇长团员和厦门市重点人才等荣誉称号。
(1)本科生:陈洪杰(厦大计算机系,2017-2018),徐利贞(北邮自动化系,2019至今),俞心宇(厦大计算机系,2019至今),张悦(厦大计算机系,2019至今),黄静(厦大计算机系,2018至今)
[1] Yun Zuo, Jianyuan Lin, Xiangxiang Zeng, Quan Zou*, Xiangrong Liu*, CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques, Bioinformatics, 2020, Major
[2] Shuting Jin#, Xiangxiang Zeng#, Feng Xia, Wei Huang, Xiangrong Liu*,Application of Deep Learning Methods in Biological Networks, Briefings in Bioinformatics , 2020, doi: 10.1093/bib/bbaa043 (JCR一区,CCF B类,IF=5.4, Corresponding)
[3] Yun Zuo, Jianyuan Lin, Quan Zou, Min Jiang*, Xiangrong Liu*, 2lpiRNApred: A 2-layer integrated algorithm for identifying piRNAs and their functional based on LFE-GM feature selection, RNA Biology, 2020, 10.1080/15476286.2020.1734382 (JCR二区, Corresponding)
[4] Xiangrong Liu,Yanzi Du,Min Jiang,Xiangxiang Zeng,Multi-objective Particle Swarm Optimization Based on Network Embedding for Complex Network Community Detection, IEEE Transactions on Computational Social Systems,2020,DOI: 10.1109/TCSS.2020.2964027
[5] Xiangxiang Zeng, Siyi Zhu, Xiangrong Liu, YadiZhou, Ruth Nussinov, Feixiong Cheng, deepDR: A network-based deep learning approach to in silico drug repositioning, Bioinformatics, 2019, btz418, https://doi.org/10.1093/bioinformatics/btz418 (JCR一区,CCF B类,IF=5.4)
[6] Zengyan Hong, Xiangxiang Zeng*, Leyi Wei*, Xiangrong Liu*,Identifying Enhancer-Promoter Interactions with Neural Network Based on
Pre[-trained DNA Vectors and Attention Mechanism ,Bioinformatics,2019,DOI:10.1093/bioinformatics/btz694 (JCR一区,CCF B类,IF=5.4,Corresponding)
[7] Francis George C. Cabarle, Ren Tristan A.de la Cruz, Dionne Peter P.,Caili pan, Defu Zhang, Xiangrong Liu*, Xiangxiang Zeng*,
Rep[resentations Of Spiking Neural P Systems With Rules On Synapses, Information Sciences, 2019,501:30-49, DOI: 10.1016/j.ins.2019.05.070 (JCR[一区,CCF B类,IF=4.3,Corresponding)
[8] 柳娟, 曹茂华,徐志达,林袁,刘向荣*, 基于选择集成学习的表面增强拉曼光谱检波算法,广州大学学报(自然科学版), 2019,18(1):37-49
[9] Kaiyang Qu, Fei Guo, Xiangrong Liu, Yuan Lin*, Quan Zou*, Application of Machine Learning in Microbiology, Frontiers in Microbiology,2019, 10: 827, (JCR二区,IF=4.02)
[10] Yuan Lin#, Yinyin Cai, Juan Liu#, Chen Lin, Xiangrong Liu*, An advanced approach to identify antimicrobial peptides and their function types
[for penaeus through machine learning strategies, BMC Bioinformatics, 2019, DOI:10.1186/s12859-019-2766-9 , (JCR二区,CCF C类,IF=2.4,Corresponding)
[11] Xiangrong Liu, Zengyan Hong, Juan Liu, Yuan Lin, Alfonso Rodríguez-Patón, Quan Zou*, Xiangxiang Zeng*, Computational methods for identifying the critical nodes in biological networks, Briefings in Bioinformatics, 2019, DOI: 10.1093/bib/bbz011 , (JCR一区,CCF B类,IF=6.3)
[12] Cabarle FGC, de la Cruz RTA, Zhang X, Jiang M, Liu X*, Zeng X* ,On String Languages Generated by Spiking Neural P Systems with Structural Plasticity, IEEE Trans Nanobioscience. 2018,17(4):560-566. DOI: 10.1109/TNB.2018.2879345, (JCR三区,IF=2.16,Corresponding)
[13] Quan Zou, Gang Lin,Xingpeng Jiang, Xiangrong Liu*, Xiangxiang Zeng*,Sequence clustering in bioinformatics: an empirical study, Briefings in Bioinformatics,2018, DOI:10.1093/bib/bby090 , (JCR一区,CCF B类,IF=6.3,Corresponding)
[14] Wenying He,Ying Ju, Xiangxiang Zeng, Xiangrong Liu*, Quan Zou*, Sc-ncDNAPred: A sequence-based predictor for identifying non-coding DNA in Saccharomyces cerevisiae, Frontiers in Microbilogy, DOI: 10.3389/fmicb.2018.02174, (JCR二区,IF=4.02,Corresponding)
[15] Chen R, Liu X, Jin S, Lin J, Liu J*, Machine Learning for Drug-Target Interaction Prediction, Molecules, 2018; 23(9):220 8, (JCR三区,IF=3.0)
[16] Liu B, Han L, Liu X, et al. Computational prediction of sigma-54 promoters in bacterial genomes by integrating motif finding and machine learning strategies. IEEE/ACM Transactions on Computational Biology & Bioinformatics, 2018, 99:1-1, (JCR三区,CCF B类,IF=2.4)
[17] X Zeng, S Jin, J Jiang, Kh Han, Xp Min*, Xr Liu*, Predict the Relationship between Gene and Large Yellow Croaker's Economic Traits. Molecules, 2017, 22(11):1978,DOI: 10.3390/molecules22111978, (JCR三区,IF=3.0,Corresponding)
[18] Yinyin Cai, Zhijun Liao,Ying Ju, Juan Liu, Yong Mao*, Xiangrong Liu*, Resistance gene identification from Larimichthys crocea with machine learning techniques, Scientific Reports, 2016,doi:10.1038/srep38367 ,(SCI,IF=5.2, Corresponding)
[19] Jing Yang,Shuoxing Jiang, Xiangrong Liu, Linqiang Pan, Cheng Zhang, Aptamer-Binding Directed DNA Origami Pattern for Logic Gates, ACS Appl. Mater. Interfaces,2016, 8, 34054−34060, DOI: 10.1021/acsami.6b102662016, (JCR一区,IF=8.1)
[20] Xiangxiang Zeng, You Li, Stephen C. H. Leung, Ziyu Lin, Xiangrong Liu*, Investment Behavior Prediction in Heterogeneous Information Network, NeuroComputing, 2016,DOI:10.1016/j.neucom.2015.12.139 (JCR二区,IF=3.24, Corresponding)
[21] Jiancang Zeng, Dapeng Li, Yunfeng Wu, Quan Zou, Xiangrong Liu*, An empirical study of features fusion techniques for protein-protein interaction prediction, Current Bioinformatics,2016, DOI: 10.2174/1574893611666151119221435 (SCI,IF=0.54, Corresponding)
[22] Te-Wei Chang, Xinhao Wang, Austin Hsiao, Zhida Xu, Guohong Lin, Manas Ranjan Gartia*, Xiangrong Liu*, Gang Logan Liu*, Bifunctional Nano
Lyc[urgus Cup Array (NanoLCA) Plasmonic Sensor for Colorimetric Sensing and Surface-Enhanced Raman Spectroscopy (SERS), Advanced Optical Materials,2015, DOI: 10.1002/adom.201500092 (JCR一区, IF=7.43, Corresponding)
[23] Xiangrong Liu, Juan Suo, Juan Liu, Yan Gao, Xiangxiang Zeng, Molecular Logic Computation with Debugging Method, Journal of Nanomaterials, 2015, DOI:10.1155/2015/120365 (JCR三区,IF=2.21)
[24] Xiangrong Liu, Ziming Li, Xiangxiang Zeng, Implementation of Arithmetic Operations with Time-free Spiking Neural P Systems, IEEE Transactions on Nanobioscience,2015, DOI:10.1109/TNB.2015.2438257. (JCR三区,IF=2.16)
[25] Xiangrong Liu, Juan Suo, Stephen CH Leung, Juan Liu, Xiangxiang Zeng, The Power of Time-free Tissue P Systems: Attacking NP-complete Problems, NeuroComputing, 2015,159(151-156), DOI: 10.1016/j.neucom.2015.01.072. (JCR二区,IF=3.24)
[26] Tao Song, Quan Zou, Xiangrong Liu, Xiangxiang Zeng, Asynchronous Spiking Neural P Systems with Rules on Synapses, NeuroComputing, 2015, 152:1439-1445. (JCR二区,IF=3.24)
[27] Xuewei Zhao, Quan Zou, Bin Liu, Xiangrong Liu *,Exploratory predicting protein folding model with random forest and hybrid features. Current Proteomics, 2014, 11(4), 289-299, DOI: 10.2174/157016461104150121115154.(SCI,IF= 0.61, Corresponding)
[28] Xiangrong Liu, Ziming Li, Juan Suo ,Juan Liu, Xiaoping Min, A uniform solution to integer factorization using time-free spiking neural P system, Neural Computing and Applications, 2014, DOI: 10.1007/s00521-014-1799-2. (JCR三区,IF=4.21)
[29] Xiangrong Liu, Runquan Xie, Chen Lin, Liujuan Cao, Question microblog identification and answer recommendation. Multimedia Systems, 2014, DOI: 10.1007/s00530-014-0411-z. (SCI,IF=1.7)
[30] Sifa Xie, Wei Weng, Ke Chen, Xiangrong Liu*, Identifying Reliable Posts and Users in online Social Networks, International Journal of Pat[tern Recognition and Artificial Intelligence,2014, 28(6):1459007-1-17,DOI: 10.1142/S0218001414590071 (SCI,IF=1.0,Corresponding)
[31] 刘向荣, 索娟, 柳娟, 李子铭, 曾湘祥, 体内生物分子计算系统的原理、进展和展望, 中国科学院院刊, 2014, 29(1):106-114.
[32] Xinhao Wang, Manas Ranjan Gartia, Jing Jiang, Te-Wei Chang, Junle Qian, Yong Liu, Xiangrong Liu, Gang Logan Liu, Audio Jack Based Miniaturized Mobile Phone Electrochemical Sensing Platform, Sensors and Actuators B: Chemical , 2014, doi:10.1016/j.snb. (JCR一区,IF=5.667)
[33] Tao Song, Xiangrong Liu, Xiangxiang Zeng, Asynchronous Spiking Neural P Systems with Anti-Spikes, Neural Process Letter, 2014, DOI :10.1007/ s11063-014-9378-1. (JCR三区,IF=1.787)
[34] Xiangxiang Zeng, Lei xu, Xiangrong Liu, Linqiang Pan, On Language Generated by Spiking Neural P Systems with Weights, Information Sciences, 2014,278:423-433. (JCR一区,IF=4.3)