刘向荣-尊龙网平台

 刘向荣-尊龙网平台
刘向荣 教授、博士生导师

华中科技大学 博士(2007)

研究方向: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

所属部门:计算机科学系

电子邮件:

个人尊龙网平台主页:https://dmci.xmu.edu.cn/member

个人简历:

【个人简介】

厦门大学信息学院计算机系,教授,博士生导师,副系主任。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。


【主讲课程】

1. 数字逻辑, 2012至今

2. 面向对象程序设计(c ), 2015-2019

3. 计算机理论基础(硕士),2015至今

4. 计算复杂性(博士),2015,2016

5. 计算机组成原理,2012-2014


【学术兼职】

1. 中国计算机学会会员,ieee会员

2. 计算机学会生物信息专委会委员

3. bicta、acmc等会议程序委员会


【学生】

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)

硕士研究生:

1. 2011级:於猛(蚂蚁金服),陈迎潮(公务员)

2. 2013级:李子铭(获两次国家奖学金共4万元,荷兰阿姆斯特丹大学读博),索娟(获国家奖学金2万元,厦门大学翔安医院)

3. 2014级:陈举涛(华为),郭基铭(华为),谢诗悦(厦门建行)

4. 2015级:蔡音音(获国家奖学金2万元,厦航),曹茂华(杭州招行),陈佳敏(厦门选调生),龚瑞(厦门国际银行)

5. 2016级:陈欣(小米),汪改英(深圳建行),徐嘉翊(华为),闫晓珊(美团)

6. 2017级:陈若兰(华为奖学金,福建旅游集团),洪增艳(国家奖学金、茅台奖学金,厦门电网),李凯(阿里),林剑远(腾讯),彭惠民(上海交行),谢少灵(华为)

7. 2018级:蒋长志,兰颖豪,秦品发,赵连敏,吴隆鑫(合作指导), 钟玥(合作指导)

8. 2019级:夏枫,孙楠,黄伟,胡冰

博士研究生:

1. 2018级:左云,汤敏丽

2. 2019级:金淑婷,fatma sayed

博士后:庄元颖博士

访问研究人员:林袁博士


【获奖情况】

1. 2007年,湖北省自然科学奖一等奖:非传统高性能计算中的生物计算理论(第4完成人)

2. 2007年,湖北省科技进步奖二等奖:带中间包加热的水平连铸机及控制系统(第5完成人)

3. 2008年,教育部自然科学奖二等奖:网络结构与优化中的智能计算方法研究(第11完成人)


【科研项目】

1. 2020,企业横向,x光分选机应用软件开发,(负责人,31万)

2. 2019-2020,重点实验室访问(开放)基金课题,大黄鱼重要经济性状表型自动化测量系统研发,(负责人,10万)

3. 2020-2022,企业横向,厦门大学信息学院兆易创新gd32 mcu联合实验室,(负责人,85万)

4. 2019-2021,国家重点研发计划政府间专项,项目名称:基于dna自组装复合纳米孔技术的生物大分子检测(2017yfe0130600, 子课题负责人,45万)

5. 2016-2019,十三五国家海洋经济创新发展区域示范项目:“海洋生态环境观测装备研发公共服务平台”(16pfw034sf02)-子项目“大型科研仪器智能监测组件”(负责人,200万)

6. 2015-2018,国家自然科学基金面上项目:基于核酸系统的复杂分子逻辑电路研究(61472333,负责人,84万)


【发表论文】

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*, representations 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 lycurgus 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 pattern 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)


【专利】

1.刘向荣,龚瑞,毛勇,金烨楠,柳娟,曾湘祥,基于图像识别与级联分类器的对虾形态参数自动测量方法[p], 201810180586.2 (授权)

2.刘向荣,谢少灵,柳娟,基于深度学习的河豚鱼个体识别方法[p],202010207890.9

3.刘向荣,李凯,柳娟,一种车库环境下基于77ghz毫米波雷达和视觉信息融合的目标检测方法[p],202010208787.6

4.汤敏丽,刘向荣,谢少灵,一种基于卷积神经网络的水书手写文字识别方法[p],202010175808.9

5.刘向荣,毛勇,龚瑞,柳娟,曾湘祥,基于卷积神经网络的对虾形态测量方法、介质、终端设备及装置[p],20181063720.4

6.刘向荣,刘敏,龚瑞,方旅平,徐嘉熠,詹讯,柳娟,基于深度学习的鱼类识别方法、介质、终端设备及装置[p],20181063729.5

7.刘向荣,柳娟,吴文彬,一种用于水产育种筛选的称量系统[p],201910665509.0

8.柳娟,吴文彬,刘向荣,一种提供开源数据接口的大批量称量电子秤[p],201910665475 .5


【软件著作权】

1.基于互联网 的便携式硝酸盐智能检测系统 v1.0,2017sr520933

2.基于nfc标签的趣味智能旅游平台系统(简称:寻宝中国 )v1.0,2017sr520928

3.水产育种智能称量和数据处理软件(简称:快速种苗称重) v1.0, 2018sr543792


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