个人主页——彭绍亮

国家超级计算长沙中心副主任

基本 资料


个人信息

姓名: 彭绍亮
性别:男
籍贯:山东

学历职称

学历:博士
职称:湖南大学“岳麓学者”三级教授

研究方向

高性能计算、大数据、生物信息、
人工智能、区块链等

联系邮箱

slpeng@hnu.edu.cn
pengshaoliang@nudt.edu.cn
pengshaoliang@gmail.com

个人 简介


个人 经历


国防科技大学

国防科技大学

专业:数学

学历/学位:本科/学士

时间:1997.9—2001.6

国防科技大学

国防科技大学

学位:计算机科学与技术

学历/学位:研究生/硕士

时间:2001.9—2003.12

国防科技大学

国防科技大学

学位:计算机科学与技术

学历/学位:研究生/博士

时间:2004.2—2008.12

香港城市大学

香港城市大学

学位:计算机科学与技术

学历/学位:研究生/博士生联合培养

时间:2007.10—2008.10

国防科技大学

国防科技大学

职务:讲师

时间:2008.12—2013.11

华大基因

华大基因

职务:特聘教授

时间:2011.12—至今

国防科技大学

国防科技大学

职务:副研究员

时间:2013.12—2017.6

湖南大学

湖南大学

职务:“岳麓学者”三级教授

时间:2017.7—至今

国家超算长沙中心

国家超算长沙中心

职务:副主任

时间:2017.7—至今

国防科技大学

国防科技大学

职务:兼职教授

时间:2018.5—至今

湖南大学

湖南大学

职务:教育舆情研究中心副主任(兼)

时间:2019.3—至今

学术 服务


>_担任多个国际期刊主编和副主编,包括:

International Journal of Biological Sciences(SCI期刊,2区)

职务:Executive Editors(执行主编)

任期:2016年—至今

Health Information Science and Systems(SCI期刊)

职务:Associate Editor(副主编)

任期:2019年—至今

Interdisciplinary Sciences: Computational Life Sciences(SCI期刊)

职务:Associate Editor(副主编)

任期:2014年—至今

International Journal on Computer Science and Engineering(IJCSE)

职务:Executive Editors(执行主编)

任期:2015年—至今

International Journal of High Performance Computing and Networking(IJHPCN)

职务:Associate Editor(副主编)

任期:2015年—至今

International Journal of Embedded Systems (IJES)

职务:Associate Editor(副主编)

任期:2015年—至今

CCF Transactions on High Performance Computing

职务:Editor(编辑)

任期:2017年—至今

>_ 2019:

2019世界计算机大会 "新型计算:再造数字经济活力" 论坛

职务:论坛特邀讲者

任期:2019年

2019 CCF青年精英大会(YEF 2019)“深度学习技术如何推动产业升级”论坛

职务:论坛特邀讲者

任期:2019年

上海健康医学院双加应急医学救援技术研究院

职务:人工智能与超算专家

任期:2019.3-2022.3年

APBC 2019: The 17th Asia Pacific Bioinformatics Conference (CCF C区国际会议)

职务:PC Committee Chairs

任期:2019年

2019: Blockchain Research and Applications

职务:PC Committee Chairs

任期:2019年

>_ 2018:

鹏城实验室智慧医疗子课题负责人

任期:2018年—至今

新一代人工智能院士高峰论坛智慧医疗论坛特邀嘉宾

任期:2018年

中国老年医学学会智慧医疗技术与管理分会会长

任期:2018年—至今

CNCC-“E级超算——E级计算时代下的HPC与AI融合之路”论坛主席

任期:2018年

CCF Young Elite Forum“科技创业秀”特邀评委

任期:2018年

CNCC-“面向E级超级计算机的应用算法与软件”论坛讲者

任期:2018年

第十四届全国高性能计算学术年会特邀演讲者

任期:2018年

新华小记者湖南顾问委员会科普教育高级导师

任期:2018年

>_ 2017:

中国计算机学会(CCF)杰出会员

任期:2017年—至今

湖南省生物信息学会(一级学会)理事长

任期:2017年—至今

第2届中国计算机学会生物信息学会议程序委员会主席

任期:2017年

CCF YOCSEF总部AC委员

任期:2017年—至今

2017中国大数据技术大会组委会主席

任期:2017年

CCF CNCC 2017“HPC+AI”论坛主席

任期:2017年

CCF CNCC 2017“第四届智能健康医疗健康论坛”论坛主席

任期:2017年

广西科技大学启迪数字学院学术委员会委员

任期:2017年—至今

华大基因学院认证讲席教授

任期:2017年—至今

>_ 2016:

中央军委科技委生物交叉立项专家组成员

任期:2016年—至今

中国计算机学会(CCF)理事

任期:2016年—至今

中国计算机学会(CCF)生物信息专业组副主任

任期:2016年—至今

CCF 中国大数据技术大会(BDTC 2016)程序委员会主席

任期:2016年

CCF 中国大数据学术大会程序委员会副主席

任期:2016年

CCF YOCSEF长沙主席

任期:2016年12月-2017年12月

中国大数据技术应用联盟委员会专家

任期:2016年—至今

中国计算机应用大会委员会委员

任期:2016年—至今

中国大数据产业应用协同创新联盟委员会专家

任期:2016年—至今

中国计算机学会(CCF)YOCSEF广州2016互联网大数据协同创新论坛

任期:2016年

CNCC-高性能计算与大数据论坛主席

任期:2016年—至今

CNCC-生命在于计算论坛主席

任期:2016年

CNCC-医疗大数据论坛讲者

任期:2016年

IEEE-BIBM 2016-invited speaker

任期:2016年

>_ 2015:

中国计算机学会(CCF)计算机应用专委副主任

任期:2015年—至今

中国医药生物技术协会生物医学信息技术分会第二届委员会委员

任期:2015年—至今

上海数据科学重点实验室数据科学家

任期:2015年—至今

华大基因特聘教授

任期:2015年—至今

上海数据科学家大会执行委员会委员

任期:2015年—至今

获奖 情况


军队科技进步一等奖

XXX并行程序设计环境
军队科技进步一等奖

PAC 2014
(全国并行应用挑战赛)

最佳应用金奖
人类全基因组重测序软件流水线深度并行优化
PAC2014(全国并行应用挑战赛)

PAC 2015
(全国并行应用挑战赛)

并行基金优秀探索奖
PAC2015(全国并行应用挑战赛)

PAC 2015
(全国并行应用挑战赛)

最佳应用金奖
mD3DOCKxb天河2号上一种高通量药物虚拟筛选平台
PAC2015(全国并行应用挑战赛)

IGEM 2015
(国际遗传工程机器设计大赛)

单项奖
Engineering of a multi-enzymatic reaction accelerator in vivo
IGEM2015(国际遗传工程机器设计大赛)

IGEM 2015
(国际遗传工程机器设计大赛)

金奖
Engineering of a multi-enzymatic reaction accelerator in vivo
IGEM2015(国际遗传工程机器设计大赛)

ISC 2015
(互联网安全大会)

Best Paper Candidate
Large-Scale Neo-Heterogeneous Programming and Optimization of SNP Detection on Tianhe-2
ISC2015(互联网安全大会)

军队三等功

XX高性能计算机系统研制
军队三等功

IGEM 2016
(国际遗传工程机器设计大赛)

金奖
Development of A NovelBlood-MicroRNA Handy Detection System
IGEM2016(国际遗传工程机器设计大赛)

PAC 2017
(全国并行应用挑战赛)

银奖
基于CPU/MIC异构并行的大规模可扩展Motif发现算法优化
PAC2017(全国并行应用挑战赛)

PAC 2017
(全国并行应用挑战赛)

铜奖
蛋白质翻译后修饰位点预测算法GPS的并行化及应用
PAC2017(全国并行应用挑战赛)

2017“天河之星”

优秀应用入围奖
2017“天河之星”

中国计算机学会
2018年科学技术奖

自然科学二等奖
基于超算的精准医学技术研究
中国计算机学会2018年科学技术奖

PAC2018
(全国并行应用挑战赛)

银奖
基于CPU/MIC异构并行的大规模可扩展频繁子图药物发现工具
PAC2018(全国并行应用挑战赛)

2018年“创青春”全国大学生创业大赛

铜奖
天河超算上的骨质疏松人工智能医生
2018年“创青春”全国大学生创业大赛

2018年“创青春”湖南省大学生创业大赛

金奖
天河超算上的骨质疏松人工智能医生
2018年“创青春”湖南省大学生创业大赛

第四届湖南省“互联网+”大学生创新创业大赛

一等奖
天河超算上的骨质疏松智能筛查机器人
第四届湖南省“互联网+”大学生创新创业大赛

专利 项目




  2018年授权 专利号 ZL201510960149.9 基于动态数据划分和冲突消解的高通量药物虚拟筛选方法

  2017年授权 专利号 ZL201410745667.4 基于众核协处理器的三级流水序列比对方法

  2017年授权 专利号 ZL201310343007.9 一种基于MapReduce的非精确任务并行处理方法

  2016年授权 专利号 ZL201410029703.7 一种基于内容分块的远程文件实时更新方法

  2016年授权 专利号 ZL201310294071.2 一种减少无线通信丢包率的方法和设备

  2015年授权 专利号 ZL201210248732.3 一种基于图形处理单元的影响最大化并行加速方法

  2014年授权 专利号 ZL201210370492.4 一种基于超级计算机的HLA仿真程序的对象调度方法

  2014年授权 专利号 ZL201110459479.1 移动传感器网中利用管道的节点部署方法

  2014年授权 专利号 ZL201218001015.1 一种虚拟试验运行控制方法

  2012年授权 专利号 ZL201110008407.5 一种支持差异度量的角色动态转化方法[W用1]

  2012年授权 专利号 ZL201010510055.9 基于社区特性的并行离散事件仿真对象分发方法

2018年授权 专利号 ZL201510960149.9 基于动态数据划分和冲突消解的高通量药物虚拟筛选方法

>_国家重点研发计划

  国家重点研发计划(2018YFC090002)精准医学大数据的有效挖掘与关键信息技术研发-联合清华大学等

  国家重点研发计划(2017YFB0202602)基于E级高性能计算生物医药应用软件系统及应用—联合中山大学

  国家重点研发计划(2017YFC1311003)恶性肿瘤临床大数据平台及生物样本库建设研究-基于超级计算的肿瘤大数据

  分析技术与人工智能诊断标准研究—联合中国医学科学院肿瘤医院&中国肿瘤中心

  国家重点研发计划(2016YFC1302500)中国主要恶性肿瘤的危险因素监测及控制关键技术研究—联合中国医学科学院肿瘤医院

  国家重点研发计划(2016YFB0200400 )E级计算机关键技术验证系统

>_国家自然科学基金

  国家自然科学基金(U1435222)面向生物威胁快速反应的大数据分析方法研究

  国家自然科学基金(61772543)面向大规模异构体系结构的生物医药大数据并行算法及优化关键技术研究

  国家自然科学基金(61272056)面向城市计算的协作认知无线电网络资源优化理论与关键技术研究

  国家自然科学基金(60903223)传感器网络辅助下的认知无线电动态频谱资源管理研究

>_其他科研基金项目

  湖南省自科发展基金 10631 无线传感器网络辅助下的动态数据驱动并行仿真技术研究

  广州超算应用研发项目 1488064512003 基于大规模异构高性能计算系统的生物信息分析软件

  国防科技大学预研项目 JC12-06-03 面向复杂系统的大规模动态数据驱动并行算法研究

  国家自然科学基金委员会--广东省人民政府大数据科学研究中心项目:基于天河二号超级计算机的智慧医学与健康大数据平台研究与构建

  2016年度广东省科技发展专项资金(协同创新与平台环境建设方向“基因大数据分析及产业化研究”-中国科学院深圳先进技术研究院+华大基因)

  深圳发改委项目“高技术服务业研发及产业化专项(专题二:信息技术服务):面向PB级生物基因数据处理的国民健康服务平台”

  “天河1号”-国家863计划重大项目“千万亿次高效能计算机系统”项目

  “天河2号”-国家863计划重大项目“天河新一代高性能计算机系统研制”项目

  广东省科技厅项目基金 2016B090918122

  广州天河飞腾匹配项目 0702060112002

  银河工程项目基金 0302060112001

国家重点研发计划(2018YFC090002)精准医学大数据的有效挖掘与关键信息技术研发-联合清华大学等
国家自然科学基金(61772543)面向大规模异构体系结构的生物医药大数据并行算法及优化关键技术研究

学术 论文


2019

[113] J Li, Y Li, W Li, H Luo, Y Xi, S Dong, M Gao, ... S Peng*, F Wu and W Yu(2018). Guide Positioning Sequencingidentifies aberrant DNA methylation patterns that alter cell identity andtumor-immune surveillance networks. Genome Research(影响因子10.101). February 2019, 29 (2).(并列通讯作者)

[112] Benyun Shi, Guangliang Liu, Hongjun Qiu, Yu-Wang Chen, Shaoliang Peng*. Voluntary Vaccination through Perceiving Epidemic Severity in Social Networks. Complexity 2019: 3901218:1-3901218:13 (2019).

[111] Xinguo Lu, Xin Qian, Xing Li, Qiumai Miao, Shaoliang Peng*. DMCM: a Data-adaptive Mutation Clustering Method to identify cancer-related mutation clusters. Bioinformatics( Volume 35, Issue 3, 01 February 2019).(通讯作者)

[113] J Li, Y Li, W Li, H Luo, Y Xi, S Dong, M Gao, ...  S Peng*, F Wu and W Yu(2018). Guide Positioning Sequencingidentifies aberrant DNA methylation patterns that alter cell identity andtumor-immune surveillance networks. Genome Research(影响因子10.101).  February 2019, 29 (2).(并列通讯作者)
[107] Bu, D., Peng, S.*, Luo, H., Li, X., Li, H., Sun, L., ... & Yi, Z. (2018). From big data to knowledge in precision medicine. Science. 02 Feb 2018: Vol. 359, Issue 6375, pp. 598(P35-38) DOI: 10.1126/science.359.6375.598-b(并列第一作者)

[110] Gaole An, Jiaqi Sun, Chao Ren, Zhangyi Ouyang, Lingyun Zhu, Xiaochen Bo, Shaoliang Peng*, Wenjie Shu. LIVE: a manually curated encyclopedia of experimentally validated interactions of lncRNAs. Database 2019( 13 February 2019 ).

[109] Shaoliang Peng* , Yingbo Cui , Shunyun Yang , Wenhe Su , Xiaoyu Zhang , Tenglilang Zhang , et al. A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer. IEEE/ACM Transactions on Computational Biology and Bioinformatics ( Volume: 16, Issue: 2, March-April 1 2019 ).(第一作者、通讯作者)

[108] T Huang, W Lin, Y Li, LG He, SL Peng. A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing. Journal of Signal Processing Systems: 1-14 (22 February 2019)

2018

[107] Bu, D., Peng, S.*, Luo, H., Li, X., Li, H., Sun, L., ... & Yi, Z. (2018). From big data to knowledge in precision medicine. Science. 02 Feb 2018: Vol. 359, Issue 6375, pp. 598(P35-38) DOI: 10.1126/science.359.6375.598-b(并列第一作者)

[106] S Peng* , Cheng M , Huang K , et al. .(2018). Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture[J]. BMC Bioinformatics, 2018, 19(9):282.(第一作者、通讯作者)

[105] D Dong, Z Xu, W Zhong, S Peng* .(2018). Parallelization of Molecular Docking: A Review, Current Topics in Medicinal Chemistry, 2018, 18(12): 1015–1028.(通讯作者)

[104] Z Zhang, Y Lu, S Peng* .(2018). A dictionary learning algorithm for gene expression profile classification based on feature selection, 2018 International Conference on Intelligent Robotic and Control Engineering.(通讯作者)

[103] X Xie, Q Sun, X Liao, Y Tong, S Peng* .(2018). Complete genomes of two novel active prophages discovered by bioinformatics methods from high-throughput sequencing data, ITA 2018.(通讯作者)

[102] R Guo, X Xie, B Shi, S Li, K Li, X Liao, S Peng* .(2018). Review of Bioinformatics Application on Intel MIC Architecture, Interdisciplinary Sciences: Computational Life Sciences, 2018.(通讯作者)

[101] R Guo, Y Wang, W Shu, S Peng* .(2018). Accurate identification of RNA editing sites from primitive sequence with recurrent neural network, Current Gene Therapy, 2018.(通讯作者)

\

[100] Zhang, Z.,Zhao, Y., Liao, X., Shi, W., Li, K., Zou, Q*., Peng, S.*..(2018). Deep Learning in omics: a survey and guideline. Briefings in Functional Genomics, 00(00), 2018, 1–17.(并列通讯作者)

[99] Zhang, X., Liao, X., Zhu, H., Li, K., Shi, B., Peng, S.. (2018). COPCOP: A Novel Algorithm and Parallel Optimization Framework for Co-Evolutionary Domain Detection. IEEE/ACM Transactions on Computational Biology and Bioinformatics..

[98] Peng, S., Zhang, X.,Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. (2018). High-scalable Collaborated Parallel Framework for Large-scale Molecular Dynamic Simulation on Tianhe-2 Supercomputer. IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[107] Bu, D., Peng, S.*, Luo, H., Li, X., Li, H., Sun, L., ... & Yi, Z. (2018). From big data to knowledge in precision medicine. Science. 02 Feb 2018: Vol. 359, Issue 6375, pp. 598(P35-38) DOI: 10.1126/science.359.6375.598-b(并列第一作者)
[89] Peng, S., Yang, S.,Bo, X., & Li, F. (2017). paraGSEA: a scalable approach for large-scale gene expression profiling. Nucleic acids research, 45(17), e155-e155

[97] Cui, Y., Peng, S.*,Lu, Y., Zhu, X., Wang, B., Wu, C., & Liao, X. (2018). mSNP: A Massively Parallel Algorithm for Large-Scale SNP Detection. IEEE Transactions on Parallel and Distributed Systems. (通讯作者)

[96] Guo, R., Zhao, Y., Zou Q., Fang X., & Peng, S.* (2018). Bioinformatics applications on Apache Spark. GigaScience. (通讯作者)

[95] Dong, D., Su, W., Shi, W.,Zou, Q., & Peng, S.* (2018). VCSRA: A fast and accurate multiple sequence alignment algorithm with a high degree of parallelism. Journal of Genetics and Genomics. (通讯作者)

[94] Lu, X., Qian, X., Li, X.,Miao, Q., Peng, S.*, & Berger, B. (2018). DMCM: A Data-adaptive Mutation Clustering Method to Identify Cancer-related Mutation Clusters. Bioinformatics. (并列通讯作者)

[93] Yang, S., Guo, R., Liu, R.,Liao, X., Zou, Q., Shi, B., & Peng, S.* (2018). cmFSM: ascalable CPU-MIC coordinated drug-finding tool by frequent subgraphmining. BMC bioinformatics, 19(4), 98. (通讯作者)

[92] Cui, Y., Xu, J., Cheng, M.,Liao, X., & Peng, S.* (2018). Review of CRISPR/Cas9 sgRNA DesignTools. Interdisciplinary Sciences: Computational Life Sciences, 1-11. (通讯作者)

[91] Lu,X., Li, X., Liu, P., Qian, X., Miao, Q., & Peng, S.* (2018). The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes. Molecules, 23(2), 183. (并列通讯作者)

[90] Bai,L. Y., Dai, H., Xu, Q., Junaid, M., Peng, S. L. , Zhu, X., ... &Wei, D. Q. (2018). Prediction of Effective Drug Combinations by an Improved Naive Bayesian Algorithm. International journal of molecular sciences, 19(2), 467.

2017

[89] Peng, S., Yang, S.,Bo, X., & Li, F. (2017). paraGSEA: a scalable approach for large-scale gene expression profiling. Nucleic acids research, 45(17), e155-e155.

[88] Peng, S., Yang, S.,Su, W., Zhang, X., Zhang, T., Liu, W., & Zhao, X. (2017). A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer. IEEE/ACM transactions on computational biology and bioinformatics.

[87] Peng, S., Zhang, X.,Yang, S., Su, W., Zhang, Z., Dong, D., ... & Zhu, W. (2017, May). mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework. In Cluster, Cloud and Grid Computing (CCGRID), 2017 17th IEEE/ACM International Symposium on (pp. 671-676). IEEE.

[86] Peng, S., Yang, S.,Gao, M., Liao, X., Liu, J., Yang, C., ... & Yu, W. (2017). P-Hint-Hunt: adeep parallelized whole genome DNA methylation detection tool. BMC genomics, 18(2), 134.

[85] Zhang, H. Y., Xu, Q., Xiong,Y., Peng, S. L., Kumari, K. M., & Wei, D. Q. (2017). Membrane defectand water leakage caused by passive calcium permeation. Journal of Molecular Liquids.

[84] Su, W., Liao, X., Lu, Y.,Zou, Q., & Peng, S.* (2017). Multiple Sequence Alignment Based on a Suffix Tree and Center-Star Strategy: A Linear Method for Multiple Nucleotide Sequence Alignment on Spark Parallel Framework. Journal of Computational Biology, 24(12), 1230-1242.(并列通讯作者)

[80] Peng, S. (2016, December). High performance computational biology and drug design on TianHe Supercomputers. In Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on (pp. 7-7). IEEE.
[79] Peng, S., Zhang, X.,Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. (2016, December). mAMBER: A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer.In Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on (pp. 651-657). IEEE.

[83] Shi, B., Wang, W., Qiu, H.,Chen, Y. W., & Peng, S. (2017). Exploring Voluntary Vaccinating Behaviors using Evolutionary N-person Threshold Games. Scientificreports, 7(1), 16355.

[82] Zhang, X., Liao, X., Zhu,H., Li, K., Shi, B., & Peng, S.*(2017, November). A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences. In 2017 IEEE International Conference on Bioinformatics and Biomedicine(BIBM) (pp. 56-61). IEEE.(并列通讯作者)

2016

[81] Xiao, M., Li, J., Li, W.,Wang, Y., Wu, F., Xi, Y., ... & Peng, S. (2017). MicroRNAs activategene transcription epigenetically as an enhancer trigger. RNAbiology, 14(10), 1326-1334.

[80] Peng, S. (2016, December). High performance computational biology and drug design on TianHe Supercomputers. In Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on (pp. 7-7). IEEE.

[79] Peng, S., Zhang, X.,Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. (2016, December). mAMBER: A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer.In Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on (pp. 651-657). IEEE.

[78] Zhang, F., Liao, X., Peng,S.*, Cui, Y., Wang, B., Zhu, X., & Liu, J. (2016). A Hybrid Parallel Strategy Based on String Graph Theory to Improve De Novo DNA Assembly on theTianHe-2 Supercomputer. Interdisciplinary Sciences: Computational Life Sciences, 8(2), 169-176.(并列通讯作者)

[77] Lan, H., Chan, Y., Xu, K.,Schmidt, B., Peng, S., & Liu, W. (2016). Parallel algorithms forlarge-scale biological sequence alignment on Xeon-Phi based clusters. BMC bioinformatics, 17(9), 267.

[76] Cui, Y., Liao, X., Zhu, X.,Wang, B., & Peng, S.* (2016). B-MIC: an ultrafast three-level parallel sequence aligner using MIC. Interdisciplinary Sciences:Computational Life Sciences, 8(1), 28-34.(并列通讯作者)

[75] Li, X., Wu, W. K., Xing, R.,Wong, S. H., Liu, Y., Fang, X., ... & Peng, S. (2016). Distinct subtypes of gastric cancer defined by molecular characterization include novel mutational signatures with prognostic capability. Cancer research.

[74] Cheng, C., Zhou, Y., Li, H.,Xiong, T., Li, S., Bi, Y., ... & Peng, S. (2016). Whole-genome sequencing reveals diverse models of structural variations in esophageal squamous cell carcinoma. The American Journal of Human Genetics, 98(2), 256-274.

2015

[73] Peng, S., Liao, X.,Yang, C., Lu, Y., Liu, J., Cui, Y., ... & Wang, B. (2015, May). The Challenge of Scaling Genome Big Data Analysis Software on TH-2 Supercomputer. In Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on (pp. 823-828). IEEE.

[72] Wang, H., Peng, S.*,Zhu, X., Wu, C., Liu, X., Chen, Q., ... & Yang, H. (2015, May). A method toaccelerate GROMACS in offload mode on Tianhe-2 supercomputer. In Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposiumon (pp. 781-784). IEEE.(通讯作者)

[71] Liu, X., Peng, S.*,Yang, C., Wu, C., Wang, H., Cheng, Q., ... & Wang, J. (2015, May). mAMBER:Accelerating explicit solvent molecular dynamic with Intel Xeon Phimany-integrated core coprocessors. In Cluster, Cloud and Grid Computing(CCGrid), 2015 15th IEEE/ACM International Symposium on(pp. 729-732). IEEE.(通讯作者)

[70] Cheng, Q., Peng, S.*,Lu, Y., Zhu, W., Xu, Z., & Zhang, X. (2015, May). mD3DOCKxb: a deepparallel optimized software for molecular docking with Intel Xeon Phicoprocessors. In Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on(pp. 725-728). IEEE.(通讯作者)

[68] Wang, H., Peng, S.*,Lu, Y., Wu, C., Wen, J., Liu, J., & Zhu, X. (2015, July). BWTCP: A parallel method for constructing BWT in large collection of genomic reads. In International Conference on High Performance Computing (pp.171-178). Springer, Cham.(通讯作者)
[57] Cui, Y., Liao, X., Zhu, X.,Wang, B., & Peng, S. (2014). mBWA: A massively parallel sequencereads aligner. In 8th International Conference on Practical Applicationsof Computational Biology & Bioinformatics (PACBB 2014) (pp. 113-120).Springer, Cham.

[69] Zhu, X., Peng, S.*,Liu, S., Cui, Y., Gu, X., Gao, M., ... & Fang, X. (2015). A Massively Parallel Computational Method of Reading Index Files for SOAPsnv. Interdisciplinary Sciences: Computational LifeSciences, 7(4), 397-404.(通讯作者)

[68] Wang, H., Peng, S.*,Lu, Y., Wu, C., Wen, J., Liu, J., & Zhu, X. (2015, July). BWTCP: A parallel method for constructing BWT in large collection of genomic reads. In International Conference on High Performance Computing (pp.171-178). Springer, Cham.(通讯作者)

[67] Liao, X., Peng, S.,Lu, Y., Cui, Y., Wu, C., Wang, H., & Wen, J. (2015). Neo-hetergeneous Programmingand Parallelized Optimization of a Human Genome Re-sequencing Analysis Software Pipeline on TH-2 Supercomputer. Supercomputing Frontiers and Innovations, 2(1), 73-83.

[66] Cui, Y., Liao, X., Peng,S.*, Lu, Y., Yang, C., Wang, B., & Wu, C. (2015, July). Large-scale neo-heterogeneous programming and optimization of SNP detection on Tianhe-2. In International Conference on High Performance Computing(pp. 74-86). Springer, Cham.(通讯作者)

[65] Zhang, J., Li, S., Liao, X.,Peng, S., Liu, X., & Jia, Z. (2015). Hematch: a redundancy layout placement scheme for erasure-coded storages in practical heterogeneous failure patterns. Science China Information Sciences, 58(6), 1-11.

[64] Wu, C., Schwartz, J. M.,Brabant, G., Peng, S. L., & Nenadic, G. (2015). Constructing amolecular interaction network for thyroid cancer via large-scale text mining of gene and pathway events. BMC systems biology, 9(6), S5.

[63] Luo, R., Cheung, J., Wu, E.,Wang, H., Chan, S. H., Law, W. C., ... & Peng, S. (2015). MICA: A fast short-read aligner that takes full advantage of Many Integrated Core Architecture (MIC). BMC bioinformatics, 16(7), S10.

[62] Fang, X., Nevo, E., Han, L.,Levanon, E. Y., Zhao, J., Avivi, A., ... & Peng, S. (2015). Corrigendum: Genome-wide adaptive complexes to underground stresses in blindmole rats Spalax. Nature communications, 6, 8051.

2014

[61] Murabito, E., Colombo, R.,Wu, C., Verma, M., Rehman, S., Snoep, J., ... & Peng, S. (2015). Supra Biology 2014: Promoting UK-China collaboration on Systems Biology and High Performance Computing.

[60] Wang, J., Peng, S., Cossins, B. P., Liao, X., Chen, K., Shao, Q., ... & Zhu, W. (2014). Mapping central α-Helix linker mediated conformational transition pathway of calmodulin via simple computational approach. The Journal of Physical Chemistry B, 118(32), 9677-9685.

[59] Liu, X., Li, S., Liao, X., Peng,S., Wang, L., & Kong, Z. (2014). Know by a handful the whole sack: efficient sampling for top-k influential user identification in largegraphs. World Wide Web, 17(4), 627-647.

[58] Liu, X., Li, M., Li, S., Peng,S*., Liao, X., & Lu, X. (2014). IMGPU: GPU-accelerated influence maximization in large-scale social networks. IEEE Transactions on Paralleland Distributed Systems, 25(1), 136-145.(并列通讯作者)

[57] Cui, Y., Liao, X., Zhu, X.,Wang, B., & Peng, S. (2014). mBWA: A massively parallel sequencereads aligner. In 8th International Conference on Practical Applicationsof Computational Biology & Bioinformatics (PACBB 2014) (pp. 113-120).Springer, Cham.

[56] Fang, X., Nevo, E., Han, L., Levanon, E. Y., Zhao, J., Avivi, A., ... & Peng, S. (2015).Corrigendum: Genome-wide adaptive complexes to underground stresses in blindmole rats Spalax. Nature communications, 6, 8051.

[49] Luo, R., Liu, B., Xie, Y.,Li, Z., Huang, W., Yuan, J., ... & Peng, S. (2012). SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience, 1(1), 18.(被引用次数:1769)
[44] Chen, L. L., Lu, Y. S., Yao,Y. P., & Peng, S. L.* (2011, June). A well-balanced time warp systemon multi-core environments. In Principles of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on (pp. 1-9). IEEE.(并列通讯作者)

2013

[55] Li, S., Peng, S.*, Chen,W., & Lu, X. (2013). INCOME: Practical land monitoring in precision agriculture with sensor networks. Computer Communications, 36(4),459-467.(并列通讯作者)

[54] Huang, H., Liao, X., Li, S.,Peng, S.*, Liu, X., & Lin, B. (2013, August). The architecture and traffic management of wireless collaborated hybrid data center network.In ACM SIGCOMM Computer Communication Review (Vol. 43, No. 4, pp.511-512). ACM.(并列通讯作者)

[53] Liang, C. P., Fan, J. L.,Gong, H. R., Liao, X., Zhu, X., & Peng, S. (2013). Interface structure and work function of W-Cu interfaces. Applied PhysicsLetters, 103(21), 211604.

[52] LU, X., DONG, D., LIAO, X.,& PENG, S. (2013). P-Zone: Connectivity-based Packet Path Tracing in Wireless Sensor Networks. Chinese Journal of Electronics, 22(3),477-482.

[51] Luo, R., Wong, T., Zhu, J.,Liu, C. M., Zhu, X., Wu, E., ... & Peng, S. (2013). SOAP3-dp: fast, accurate and sensitive GPU-based short read aligner. PloS one, 8(5), e65632.

[50] Jia, W., Qiu, K., He, M.,Song, P., Zhou, Q., Zhou, F., ... & Peng, S. (2013). SOAPfuse: an algorithm for identifying fusion transcripts from paired-end RNA-Seqdata. Genome biology, 14(2), R12.

2012

[49] Luo, R., Liu, B., Xie, Y.,Li, Z., Huang, W., Yuan, J., ... & Peng, S. (2012). SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler. Gigascience, 1(1), 18.(被引用次数:1769)

[48] Peng, S., Li, S.,Liao, X., Peng, Y., & Xiao, N. (2012). A scalable code dissemination protocol in heterogeneous wireless sensor networks. Science ChinaInformation Sciences, 55(6), 1323-1336.

[47] Peng, S., Xing, G.,Li, S., Jia, W., & Peng, Y. (2012). Fast release/capture sampling inlarge-scale sensor networks. IEEE Transactions on Mobile Computing, 11(8), 1274-1286.

[46] Liu, B., Yao, Y., Jiang, Z.,Yan, L., Qu, Q., & Peng, S. (2012, July). HLA-based parallel simulation: A case study. In Principles of Advanced and Distributed Simulation (PADS), 2012 ACM/IEEE/SCS 26th Workshop on (pp. 65-67). IEEE.

2011

[45] Hou, B., Yao, Y., & Peng,S.* (2011, June). Empirical study on entity interaction graph oflarge-scale parallel simulations. In Proceedings of the 2011 IEEE Workshopon Principles of Advanced and Distributed Simulation (pp. 1-6). IEEE Computer Society.(并列通讯作者)

[44] Chen, L. L., Lu, Y. S., Yao,Y. P., & Peng, S. L.* (2011, June). A well-balanced time warp systemon multi-core environments. In Principles of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on (pp. 1-9). IEEE.(并列通讯作者)

[37] Wang, B., Yao, Y., Zhao, Y.,Hou, B., & Peng, S.* (2009, October). Experimental analysis of optimistic synchronization algorithms for parallel simulation ofreaction-diffusion systems. In 2009 International Workshop on High Performance Computational Systems Biology (pp. 91-100). IEEE.(并列通讯作者)

2010

[43] Peng, S., Xing, G.,Li, S., Jia, W., & Peng, Y. (2010, June). Fish a lake: Fast release/capture sampling in large-scale sensor networks. In Quality of Service (IWQoS), 2010 18th International Workshop on (pp. 1-8). IEEE.

[42] Liu, Z., Song, J., & Peng,S.* (2010, June). MPIActor: A thread-based MPI program accelerator. In Quality of Service (IWQoS), 2010 18th International Workshopon (pp. 1-2). IEEE.(并列通讯作者)

[41] Li, S., Zheng, S., Liao, X.,& Peng, S.* (2010, June). Exploring the practicability of mobile sensors in complex environment surveillance. In Quality of Service (IWQoS), 2010 18th International Workshop on (pp. 1-2). IEEE.(并列通讯作者)

2009

[40] Peng, S. L., Li, S.S., Liao, X. K., Peng, Y. X., & Xiao, N. (2009). Estimation of a population size in large-scale wireless sensor networks. Journal of Computer science and technology, 24(5), 987-997.

[39] Peng, S., Xing, G.,Li, S., Jia, W., & Peng, Y. (2009). Fast summation via sampling in large-scale sensor networks. ACM SIGMOBILE Mobile Computing and Communications Review, 13(1), 40-43.

[38] Liu, G., Yao, Y., & Peng,S.* (2009, October). EDEVS: a scalable DEVS formalism for event-scheduling based parallel and distributed simulations. In Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (pp. 239-242). IEEE Computer Society.(并列通讯作者)

[37] Wang, B., Yao, Y., Zhao, Y.,Hou, B., & Peng, S.* (2009, October). Experimental analysis of optimistic synchronization algorithms for parallel simulation ofreaction-diffusion systems. In 2009 International Workshop on High Performance Computational Systems Biology (pp. 91-100). IEEE.(并列通讯作者)

2008

[36] Peng, S. L., Li, S.S., Chen, L., Peng, Y. X., & Xiao, N. (2008). Scalable base-station model-based multicast in wireless sensor networks. Journal of computer science and technology, 23(5), 780-791.

[35] Peng, S., Li, S.,Chen, L., Xiao, N., & Peng, Y. (2008, April). SenCast: Scalable multicastin wireless sensor networks. In Parallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on (pp. 1-9). IEEE.

[34] PENG, S. L., LI, S.S., PENG, Y. X., & LIAO, X. K. (2008). CREED: A Clustering Method for Energy-Efficient Reliable Data Delivery in Wireless Sensor Networks[J]. Computer Engineering & Science, 4, 035.

[33] PENG, S. L., LI, S.S., PENG, Y. X., LIAO, X. K., & XIAO, N. (2008). Energy-efficient and fast method on storage and querying in wireless sensor networks [J]. Journal on Communications, 11, 020.

[32] Cheng, W., Liao, X., Shen,C., Peng, S., & Li, S. (2008, June). Monitoring Diffusible Event with Point-Sensing Sensors. In Innovative Computing Information and Control, 2008. ICICIC'08. 3rd International Conference on (pp. 592-592). IEEE.

[31] Shen, C., Cheng, W., Liao, X., & Peng, S. (2008, May). Barrier coverage with mobile sensors. In Parallel Architectures, Algorithms, and Networks, 2008. I-SPAN 2008.International Symposium on (pp. 99-104). IEEE.

[30] Li, S. S., Liao, X. K., Peng,S. L., Cheng, W., & Nong, X. (2008). A Practical Fairness Control Model in Wireless Sensor Networks. Journal of Computer Research and Development, 45(1), 47-54.

[29] LI, S. S., LIAO, X. K., ZHU,P. D., & PENG, S. L. (2008). Congestion-Aware Traffic Allocation for Multi-Path Routing in Wireless Sensor Networks. Computer Engineering & Science, 3, 026.

2007

[28] Peng, S. L., Li, S.S., Peng, Y. X., Tang, W. S., & Xiao, N. (2007, July). Real-time data delivery in wireless sensor networks: a data-aggregated, cluster-based adaptive approach. In International Conference on Ubiquitous Intelligence and Computing (pp. 514-523). Springer, Berlin, Heidelberg.

[27] Shao-Liang, P.,Shan-Shan, L., Yu-Xing, P., Pei-Dong, Z., & Nong, X. (2007, May). A delay Sensitive Feedback control Data aggregation Approach in wireless sensor network. In International Conference on Computational Science (pp.393-400). Springer, Berlin, Heidelberg.

[26] Li, S., Peng, S.*,Liao, X., Zhu, P., & Peng, Y. (2007, May). A Framework for Congestion Control for Reliable Data Delivery in Wireless Sensor Networks.In Integrated Network Management, 2007. IM'07. 10th IFIP/IEEE International Symposium on (pp. 793-796). IEEE.(并列通讯作者)

[25] Li, S., Liao, X., Peng,S.*, Zhu, P., & Jiang, J. (2007, July). Credit based fairness control in wireless sensor network. In Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on (Vol. 1, pp. 817-822). IEEE.(并列通讯作者)

2006

[24] Shao-Liang, P.,Shan-Shan, L., Xiang-Ke, L., Yu-Xing, P., & Hui, Y. (2006, December). Feedback control with prediction for thread allocation in pipeline architecture web server. In International Conference on Distributed Computing and Networking (pp. 454-465). Springer, Berlin, Heidelberg.

[23] Xiangke, L., Shanshan, L.,Peidong, Z., Shaoliang, P.*, Weifang, C., & Dezhun, D. (2006,August). Path selection of reliable data delivery in wireless sensor networks. In International Conference on Wireless Algorithms, Systems, and Applications (pp. 163-174). Springer, Berlin, Heidelberg.(并列通讯作者)

[22] Shan-Shan, L., Pei-Dong, Z.,Xiang-Ke, L., Wei-Fang, C., & Shao-Liang, P.* (2006, August). Energy efficient multipath routing using network coding in wireless sensor networks. In International Conference on Ad-Hoc Networks and Wireless(pp. 114-127). Springer, Berlin, Heidelberg.(并列通讯作者)

[21] Weifang, C., Xiangke, L.,Changxiang, S., Shanshan, L., & Shaoliang, P.* (2006, August). A trust-based routing framework in energy-constrained wireless sensor networks. In International Conference on Wireless Algorithms, Systems, and Applications (pp. 478-489). Springer, Berlin, Heidelberg.(并列通讯作者)

国内论文

[20]彭绍亮, 杨顺云, 孙哲, 程敏霞, 崔英博, 王晓伟, 李非, 伯晓晨, 廖湘科. 生物效应大数据评估聚类算法的并行优化[J]. 大数据, 2018, 4(03): 24-36.

[19]王田, 李洋, 贾维嘉, 王国军, 彭绍亮. 传感云安全研究进展[J]. 通信学报, 2018, 39(03): 35-52.

[18]曾建电, 王田, 贾维嘉, 彭绍亮, 王国军. 传感云研究综述[J]. 计算机研究与发展, 2017, 54(05): 925-939.

[17]周子寒, 彭绍亮*, 伯晓晨, 李非. 基于高通量测序技术的微生物检测数据分析方法[J]. 生物化学与生物物理进展, 2017, 44(01): 58-69.(并列通讯作者)

[16]彭绍亮. 研制发展超级计算机对国家意义重大[N]. 解放军报, 2016-11-24(008).

[15]叶晖, 潘怡, 何文德, 彭绍亮. 机会网络蓝牙设备唤醒调度机制研究[J]. 计算机工程与科学, 2014, 36(07): 1290-1295.

[14]彭绍亮, 李姗姗, 廖湘科, 彭宇行, 肖侬. 异构无线传感器网络中一种可扩展的代码分发技术[J]. 中国科学: 信息科学, 2012, 42(02): 169-183.

[13]陈波, 杨寿保, 彭绍亮, 胡云, 赫卫卿. 无线Mesh网络协作式路由度量的研究[J]. 计算机工程与科学, 2010, 32(07): 13-15+61.

[12]程卫芳, 彭绍亮, 廖湘科, 王小平. 移动传感器栅栏覆盖研究[J] .计算机工程与科学, 2009, 31(06): 93-95.

[11]彭绍亮, 李姗姗, 彭宇行, 廖湘科, 肖侬. 无线传感器网络中一种实时高效的数据存储和查询方法[J]. 通信学报, 2008, 29(11): 128-138.

[10]彭绍亮. 无线传感器网络中高效传输技术研究[D]. 国防科学技术大学, 2008.

[9]彭绍亮, 李姗姗, 彭宇行, 廖湘科.CREED: 一种高可靠的能量高效的传感器网络分簇方法[J]. 计算机工程与科学, 2008(04): 106-108.

[8]李姗姗, 廖湘科, 朱培栋, 彭绍亮. 无线传感器网络中一种拥塞感知的多路径流量分配算法[J]. 计算机工程与科学, 2008(03): 86-88+109.

[7]李姗姗, 廖湘科, 彭绍亮, 程卫芳, 肖侬. 无线传感器网络中一种实用的公平性控制模型[J]. 计算机研究与发展, 2008(01): 47-54.

[6]彭绍亮, 窦勇, 李姗姗, 金立忠. 面向多媒体应用程序的循环特征研究[J]. 计算机应用研究, 2004(06): 55-57+78.

[5]李姗姗, 宁洪, 陈波, 彭绍亮. 通用数据仓库元数据模型的研究[J]. 计算机工程与科学, 2004(05): 52-55.

[4]李姗姗, 宁洪, 彭绍亮. 基于CWM的元数据管理系统中数据交换格式的研究[J]. 计算机工程与应用, 2004(14): 192-195.

[3]彭绍亮, 窦勇, 李姗姗, 金立忠. 面向多媒体应用的程序特征分析与研究[J]. 计算机工程与科学, 2004(03): 98-101.

[2]彭绍亮. 面向多媒体应用的程序特征分析与系统优化技术研究[D]. 国防科学技术大学,2003.

[1]李姗姗, 宁洪, 彭绍亮. 关于CWM的扩展机制的研究[A]. 中国计算机学会数据库专业委员会. 第二十届全国数据库学术会议论文集 (技术报告篇)[C]. 中国计算机学会数据库专业委员会: 中国计算机学会数据库专业委员会, 2003:3.


1885+

单篇引用


110+

论文总数


20+

科研项目


11+

专利

联系 方式


湖南省长沙市岳麓区湖南大学国家超级计算长沙中心0号楼203

湖南省长沙市岳麓区国防科技大学计算机学院

① slpeng@hnu.edu.cn

② pengshaoliang@nudt.edu.cn