教师介绍


彭绍亮，****，湖南省****基金，湖南大学"岳麓****"教授/博导，国家超级计算长沙中心副主任，湖南大学教育舆情研究中心副主任(兼)。长期从事高性能计算、大数据、生物信息、人工智能、区块链等技术研究，国防科技大学"天河"生命科学方向负责人，国防科技大学/华大基因兼职教授，鹏城实验室智慧医疗平台课题负责人。出版专著7部，发表学术论文上百篇，Google引用5000余次。主持参与天河系列超级计算机应用软件研发工作，国家科技部、自然科学基金委重点项目，973/863项目等13项。获2019年国家科技进步二等奖，2019年湖南省技术发明一等奖（排名1），2013年军队科技进步一等奖1项，2018年CCF科学技术奖自然科学二等奖（排名1），2016年荣立三等功。是中央军委科技委生物交叉立项专家组成员、国家科技部/工信部/教育部会评专家、中国计算机学会理事、CCF计算机应用和生物信息专委副主任和YOCSEF总部AC委员、CCF高性能计算、大数据专委常委、区块链专委委员，CCF杰出会员和杰出讲者、湖南省生物信息学会理事长（发起人），担任多个SCI期刊和多个国际国内期刊主编副主编等。

中文名： 彭绍亮 英文名：
学历： 博士 职称： 教授
联系电话： 电子邮件： slpeng@hnu.edu.cn pengshaoliang@gmail.com
研究方向： 高性能计算、大数据、生物信息、人工智能、区块链
联系地址： 湖南省长沙市岳麓区国家超算长沙中心0号楼（410082）
所属机构： 计算机科学系 学院教师




个人主页
彭绍亮教授课题组长期招聘博士后、博硕士研究生、本科生、技术人员、工程师、财务行政、综合管理等，计算机类、人工智能、大数据，区块链、生物信息等专业优先，本课题组主要研究方向为高性能计算、大数据、生物信息、区块链、人工智能。
学习工作地点：长沙、深圳、杭州、上海、北京等。欢迎转发和推荐！简历发送和联系邮箱 slpeng@hnu.edu.cn 详情请见：https://rrx.cn/view-vm3czs
（1）http://csee.hnu.edu.cn/people/pengshaoliang

联系方式
l邮箱：
slpeng@hnu.edu.cn
pengshaoliang@nudt.edu.cn
pengshaoliang@gmail.com
l通讯地址和邮编：
National Supercomputer Center in Changsha, Hunan University, Changsha 410082, China
国家超级计算长沙中心，湖南大学，长沙，410082
School of ComputerScience, National University of Defense Technology, Changsha 410073, China
计算机学院，国防科技大学，长沙，410073

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 (SCI2区),Executive Editors
Interdisciplinary Sciences: Computational Life Sciences (SCI2区)Executive Editors-in-Chief
Health Information Science and Systems(ESCI, Springer)Associate Editors

International Journal of High Performance Computing and Networking(IJHPCN)Editorial Board Members

Blockchain Research and Applications, Editorial Board Members
CCF Transactions on High Performance Computing,Editorial Board Members

Frontier of Information Technology & Electronic Engoneering, Corresponding Expert 中国工程院院刊《信息与电子工程前沿（英文）》
2021年：
2021.7.31：第七届中国中医药信息大会主旨演讲
2021.7.16：第七届全国计算生物学与生物信息学学术会议程序委员会主席/大会特邀报告
2021：中国通信工业协会区块链专业委员会终身副主任委员；
2021：吴文俊人工智能科学技术奖十周年颁奖盛典暨2020中国人工智能产业年会杰出贡献者
2020年：
制定国内人工智能诊疗标准-《智能医疗影像辅助诊断系统技术要求和测试评价方法》标准链接；
IEEE EDGE 2020:IEEEInternational Conference onEdgeComputing(CCF C区国际会议)Program Committee
ICPADS 2020:International Conference on Parallel and Distributed Systems(CCF C区国际会议) TPC Committee of the System Track
2020：湖南省人工智能协会专家委员会副主任
2020.6.12-14：第七届全国计算生物学与生物信息学暨国际人工智能与生物医学信息学学术会议大会程序委员
2019年：
2020-2022：中国计算机学会（CCF）第十二届理事会理事
2019.12.27-28：济南国际超级计算产业博览会“超算产业分论坛”特邀嘉宾（报告题目：医疗大数据驱动下的智慧医疗-AI辅助诊疗、边缘计算、区块链等）
2019.10.17：CNCC-“大数据时代下的智能计算”论坛讲者
2019.10.17：CNCC-“生命在于计算——CCF生物信息专委分论坛”主席
2019.10.19-20：第一届全国生物信息与传染病交叉论坛特邀讲者
2019.9.11-13：OFweek2019中国智慧医疗产业大会医疗人工智能专场主持人和报告人
2019.9.9-11：2019世界计算机大会“新型计算：再造数字经济活力”特邀讲者
2019: 2019世界计算机大会 "新型计算：再造数字经济活力" 论坛特邀讲者
2019: 2019 CCF青年精英大会（YEF 2019）“深度学习技术如何推动产业升级”论坛特邀讲者
2019.3-2022.3: 上海健康医学院双加应急医学救援技术研究院人工智能与超算专家
APBC 2019: The 17th Asia Pacific Bioinformatics Conference (CCF C区国际会议) PC Committee Chairs
2018年：
2018.12-2022.12：湖南省神经科学学会第二届委员会常务理事
2018-至今：鹏城实验室智慧医疗子课题负责人
2018：新一代人工智能院士高峰论坛智慧医疗论坛特邀嘉宾
2018-至今：中国老年医学学会智慧医疗技术与管理分会会长
2018：CNCC-“E级超算——E级计算时代下的HPC与AI融合之路”论坛主席
2018：中国计算机学会（CCF） Young Elite Forum“科技创业秀”特邀评委
2018：CNCC-“面向E级超级计算机的应用算法与软件”论坛讲者
2018：HPC China 2018第十四届全国高性能计算学术年会大会特邀演讲者
2018：新华小记者湖南顾问委员会科普教育高级导师
2017年：
2017-至今：湖南省生物信息学会（一级学会）理事长
2017：第2届中国计算机学会生物信息学会议程序委员会主席
2017-至今：CCF YOCSEF总部AC委员
2017：2017中国大数据技术大会组委会主席
2017：CCF CNCC 2017“HPC+AI”论坛主席
2017：CCF CNCC 2017“第四届智能健康医疗健康论坛”论坛主席
2017-至今：广西科技大学启迪数字学院学术委员会委员
2017-至今：华大基因学院认证讲席教授
2016年：
2016-至今：中央军委科技委生物交叉立项专家组成员
2016-2019：中国计算机学会（CCF）第十一届理事会理事
2016-至今：中国计算机学会（CCF）生物信息专业组副主任
2016：CCF 中国大数据技术大会（BDTC 2016）程序委员会主席
2016：CCF 中国大数据学术大会程序委员会副主席
2016.12-2017.12：CCF YOCSEF长沙主席
2016-至今：中国大数据技术应用联盟委员会专家
2016-至今：中国计算机应用大会委员会委员
2016-至今：中国大数据产业应用协同创新联盟委员会专家
2016：中国计算机学会（CCF）YOCSEF广州2016互联网大数据协同创新论坛
2016：CNCC-高性能计算与大数据论坛主席
2016：CNCC-生命在于计算论坛主席
2016：CNCC-医疗大数据论坛讲者
2016：IEEE-BIBM 2016-invited speaker
2015年：
2015-至今：中国计算机学会（CCF）计算机应用专委副主任
2015-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
2015-至今：上海数据科学重点实验室数据科学家
2015-至今：华大基因****
2015-至今：上海数据科学家大会执行委员会委员







获奖情况
2019年：
2019年度国家科学技术奖-国家科技进步二等奖-高效能异构并行调度关键技术及应用2019年度湖南省科学技术奖-湖南省技术发明一等奖（排名1）-基于超算的大数据关键技术及应用2019AIIA杯人工智能巡回赛“Sophon”赛站全国总决赛-二等奖（湖南省赛一等奖）“建行杯”第五届湖南省“互联网+”大学生创新创业大赛-二等奖-基于超算的人工智能家庭医生“长沙银行杯”2019年湖南省创新创业大赛-优秀奖-基于超算的人工智能家庭医生2018年度湖南大学创新创业优秀指导教师2018年：
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PAC2018（全国并行应用挑战赛）-最佳应用银奖-基于CPU/MIC异构并行的大规模可扩展频繁子图挖掘药物发现工具2018年度CCF杰出演讲者2017-2018学年度湖南大学创新创业优秀指导教师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”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2017年：
2017年度中国计算机学会（CCF）杰出会员PAC2017（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）-铜奖-蛋白质翻译后修饰位点预测算法GPS的并行化及应用2017“天河之星”优秀应用入围奖
2017,mD3DOCKxb:AnUltra-ScalableCPU-MICCoordinatedVirtualScreeningFramework,获得IEEE可扩展计算挑战赛”-FinalistAwards；2016年：
2016年：军队三等功-XX高性能计算机系统研制2016年度CCF杰出演讲者IGEM2016（国际遗传工程机器设计大赛）-金奖-DevelopmentofANovelBlood-MicroRNAHandyDetectionSystemwithCRISPR2015年：
2015年：PAC2015（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）-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IGEM2015（国际遗传工程机器设计大赛）-单项奖-Engineeringofamulti-enzymaticreactionacceleratorinvivoIGEM2015（国际遗传工程机器设计大赛）-金奖-Engineeringofamulti-enzymaticreactionacceleratorinvivoISC2015（国际超算大会）-BestPaperCandidate-Large-ScaleNeo-HeterogeneousProgrammingandOptimizati-onofSNPDetectiononTianhe-22015,TheChallengeofScalingGenomeBigDataAnalysisSoftwareonTH-2Supercomputer,获得IEEE可扩展计算挑战赛”-FinalistAwards；2014年：
2014年：PAC2014（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2013年：
2013年：军队科技进步一等奖-Z2013YH102-8-XXX并行程序设计环境
科研项目


国家重点研发计划


1、科技部重点研发计划，2018YFC090002，精准医学大数据的有效挖掘与关键信息技术研发-课题5高通量生物医学数据高效算法与并行计算，2018/06-2020/12，258万，在研，课题5负责人2、国家重点研发计划（2017YFB**）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3、国家重点研发计划（2017YFC**）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4、国家重点研发计划（2016YFC**）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5、国家重点研发计划（2016YFB**）E级计算机关键技术验证系统

国家自然科学基金


1、国家自然科学基金联合重点项目，U19A2067，面向复杂环境的边缘计算支撑关键技术，2020/01-2023/12，300万，在研，项目负责人2、国家自然科学基金联合重点项目，U**，面向生物威胁快速反应的大数据分析方法研究，2015/01-2018/12，480万，已结题，参与（子课题负责人）3、国家自然科学基金面上项目，**，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，2018/01-2021/12，80万，在研，主持4、国家自然科学基金面上项目，**，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，2013/01-2016/12，80万，已结题，主持5、国家自然科学基金青年项目，**，传感器网络辅助下的认知无线电动态频谱资源管理研究，2010/01-2012/12，18万，已结题，主持

其他科研基金项目


华为技术有限公司，YBN，XX语言兼容性实现，2020-06至2021-06，713万，在研，主持湖南省****基金，2020JJ2009，基于超算的医疗大数据技术研究，2020/01-2022/12，50万，在研，主持科技创新特区前沿科技创新项目，19***01，面向***的大数据智能挖掘技术研究，2019/06-2020/12,100万，在研，项目负责人横向课题，同步并行优化新药快速发现的超算研发服务，2019/06-2020/12，75万，在研，项目负责人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**03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2016B广州天河飞腾项目2银河工程项目基金1
专利信息
2021年申请申请号9.6一种基于人工智能的龋病诊断系统2021年申请申请号9.7一种基于子空间随机化单细胞集成聚类方法2020年申请申请号6.6一种基于多源数据融合和网络结构扰动的药物靶标预测方法2020年申请申请号5.5一种基于区块链技术的智慧城市路边停车管理系统2020年申请申请号5.3一种基于元路径和双向编码器的生物网络链接预测方法2020年申请申请号6.8一种基于网络表征的抗新冠炎症药物发现方法2020年申请申请号5.2一种基于全局特征关系的卷积神经网络压缩方法2020年申请申请号6.7一种基于深度学习的多方位X光胸片肺炎诊断方法2020年申请申请号8.X一种基于局部有偏的蛋白质结构预测方法2020年申请申请号4.5基于图表示学习的新冠病毒靶标预测和药物发现方法2020年申请申请号2.4一种基于深度学习多源异构网络的药物重定位方法2020年申请申请号3.3一种基于异构信息的药物-靶标相互作用预测方法2020年申请申请号3.4一种细菌中功能性前噬菌体及其位置与序列的检测方法2020年申请申请号7.X一种基于注意力的卷积神经网络分频特征提取方法2020年申请申请号6.0一种基于深度学习的CRISPR脱靶效应预测方法2020年申请申请号8.8一种基于自编码器的基因表达谱特征学习方法2019年申请申请号1.3一种基于区块链的药企监管方法2019年申请申请号9.8一种基于机器学习的基因表达谱聚类方法2019年申请申请号7.0一种基于高通量测序数据的溶源性噬菌体预测方法2019年申请申请号9.2基于RNN神经网络的可迁移病人分类系统2019年申请申请号2.5一种基于卷积神经网络的阴道病理图像分类方法2019年申请申请号7.8一种基于区块链的疫苗生产监管方法2019年申请申请号6.1一种基于深度学习的基因表达谱距离度量方法2019年申请申请号7.X一种基于共享字典学习的基因表达谱分类方法2018年授权专利号ZL9.9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ZL7.4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ZL7.9一种基于MapReduce的非精确任务并行处理方法2016年授权专利号ZL3.7一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ZL1.2一种减少无线通信丢包率的方法和设备2015年授权专利号ZL2.3一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ZL2.4一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ZL9.1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ZL5.1一种虚拟试验运行控制方法2012年授权专利号ZL7.5一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ZL5.9基于社区特性的并行离散事件仿真对象分发方法
著作
2021 Blockchain for Big Data: AI, IoT and Cloud Perspectives, CRC Press；
2021年出版 《生物医药大数据与智能分析》，中国邮电出版社；
2021年出版 《医学预测学》，科学出版社；
2019年出版 《云计算与大数据技术理论及应用》，清华大学出版社；
2018年出版 《大数据导论》，高等教育出版社；
2013年出版 《大规模社会网络中影响最大化高效处理技术》，国防工业出版社；
2010年出版 《无线传感器网络中高效传输技术》，国防科技大学出版社。



学术论文
收费论文免费下载：https://gfsoso.99lb.net/sci-hub.html


（1）代表论文

Xiaoqi Wang,Yaning Yang,Kenli Li,Wentao Li,Fei Li, andShaoliang Peng*.BioERP: biomedical heterogeneous network based self-supervised representation learning approach for entity relationship predictions.Bioinformatics, 2021.
Deshan Zhou, Zhijian Xu, WenTao li, Xiaolan Xie & Shaoliang Peng*.MultiDTI: Drug-target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network. Bioinformatics,DOI:https://doi.org/10.1093/bioinformatics/btab473,2021.原文链接.

Xiaoqi Wang, Bin Xin, Weihong Tan,Zhijian Xu, Kenli Li, Fei Li,Wu Zhong&Shaoliang Peng*.DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19. Briefings in Bioinformatics, 2021.DOI:10.1093/bib/bbab226 (SCI1区,IF=11.62, 通讯作者) 原文链接.
J Li, Y Li, W Li, H Luo, Y Xi, S Dong, M Gao, ... S Peng*, F Wu and W Yu.Guide Positioning Sequencingidentifies aberrant DNA methylation patterns that alter cell identity andtumor-immune surveillance networks.Genome Research.2019, 29:270-280. (SCI一区, top期刊，IF=10.10，并列通讯作者)原文链接；

Zhang, Z.,Zhao, Y., Liao, X., Shi, W., Li, K., Zou, Q*.,Peng, S.*Deep Learning in omics: a survey and guideline. Briefings in Functional Genomics, 2019,18(1):41–57.（ESI高被引论文，并列通讯作者）原文链接；
Shaoliang Peng*, Yingbo Cui , Shunyun Yang , Wenhe Su , Tenglilang Zhang , et al.A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer. IEEE/ACM Transactions on Computational Biology and Bioinformatics.2019,16(2):425 - 433.（JCR一区，CCF B类，第一作者、通讯作者）原文链接；

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. 2019:1-6.（JCR一区，通讯作者）原文链接；
Bu,D.,Peng, S.*, Luo,H., Li,X., Li,H., Sun,L., ...&Yi,Z. From big data to knowledge in precision medicine.Science.2018:359(6375):P35-38. （并列第一作者）原文链接；
Guo,R.,Zhao,Y.,Zou Q.,Fang X.,&Peng, S.* Bioinformatics applications on Apache Spark.GigaScience.2018,7(8):1-10.（SCI一区，top期刊，通讯作者）原文链接；
Cui, Y.,Peng, S.*,Lu, Y., Zhu, X., Wang, B., Wu, C., & Liao, X. mSNP: A Massively Parallel Algorithm for Large-Scale SNP Detection.IEEE Transactions on Parallel and Distributed Systems.2018,29(11):2557-2567. (JCR一区，CCF A类，通讯作者)原文链接；
Peng, S., Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. High-scalable Collaborated Parallel Framework for Large-scale Molecular Dynamic Simulation on Tianhe-2 Supercomputer.IEEE/ACM Transactions on Computational Biology and Bioinformatics.2018,13:1-1（JCR一区，CCF B类，第一作者、通讯作者）原文链接；
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.2018,45(7): 407–410.（JCR一区，通讯作者）原文链接；
Peng, S., Yang, S.,Bo, X., & Li, F. paraGSEA: a scalable approach for large-scale gene expression profiling.Nucleic acids research.2017,45(17),e155-e155（SCI一区，top期刊，IF=11.15，第一作者）原文链接；
Liao, X., Zhu,H., Li, K., Shi, B., &Peng, S.* A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences. In2017 IEEE International Conference on Bioinformatics and Biomedicine(BIBM)(pp. 56-61).(CCF B类会议，第一作者、并列通讯作者)原文链接；
Xiao, M., Li, J., Li, W.,Wang, Y., Wu, F., Xi, Y., ... &Peng, S..MicroRNAs activategene transcription epigenetically as an enhancer trigger.RNAbiology. 2017,14(10),1326-1334（JCR一区，通讯作者）.原文链接；
Peng, S.High performance computational biology and drug design on TianHe Supercomputers.In2016 IEEE International Conference on Bioinformatics and Biomedicine(BIBM)(pp. 7-7).(CCF B类会议，第一作者、通讯作者).原文链接；
Peng, S., Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. mAMBER:A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer.In2016 IEEE International Conference on Bioinformatics and Biomedicine(BIBM)(pp. 651-657).(CCF B类会议，第一作者）.原文链接；
Liu, X., Li, M., Li, S.,Peng,S*., Liao, X., & Lu, X. IMGPU: GPU-accelerated influence maximization in large-scale social networks.IEEE Transactions on Paralleland Distributed Systems.2014,25(1):136-145.（JCR一区，CCF A类，并列通讯作者）原文链接；
Peng, S., Xing, G.,Li, S., Jia, W., & Peng, Y. Fast release/capture sampling inlarge-scale sensor networks.IEEE Transactions on Mobile Computing.2012,11(8),1274-1286 (JCR一区，CCF A类，第一作者、通讯作者)原文链接；
Luo, R., Liu, B., Xie, Y.,Li, Z., Huang, W., Yuan, J., ... &Peng, S. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.Gigascience.2012, 1(1), 18.（ESI高被引论文，引用次数超过1943，SCI一区，top期刊）原文链接；

（2）所有论文
2021年
[156]Xiaoqi Wang,Yaning Yang,Kenli Li,Wentao Li,Fei Li, andShaoliang Peng*.BioERP: biomedical heterogeneous network based self-supervised representation learning approach for entity relationship predictions.Bioinformatics,2021.
[155]Deshan Zhou, Zhijian Xu, WenTao li, Xiaolan Xie &Shaoliang Peng*.MultiDTI: Drug-target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network. Bioinformatics,DOI:https://doi.org/10.1093/bioinformatics/btab473,2021.原文链接.
[154]Qin Liao *, Gang Xiao, Shaoliang Peng*. Performance improvement of atmospheric continuous-variable quantum key distribution with untrusted source. Entropy June, 2021.
[153] Zhaoen Yang,Xiaoyang Ge,Weinan Li,Shaoliang Peng*,Fuguang Li.Cotton D genome assemblies built with long-read data unveil mechanisms of centromere evolution and stress tolerance divergence.BMC Biology.DOI:https://doi.org/10.1186/s12915-021-01041-0.原文链接.
[152]Deshan Zhou, Shaoliang Peng*, Dong-Qing Wei, Wu Zhong, Yutao Dou and Xiaolan Xie*.LUNAR: Drug Screening for Novel Coronavirus Based on Representation Learning Graph Convolutional Network.IEEE/ACM Transactions on Computational Biology and Bioinformatics. DOI: 10.1109/TCBB.2021.**(CCF B类).
[151]Yanyi Chu, ...,Shaoliang Peng,...,Dong-Qing Wei.MDA-GCNFTG: identifying miRNA-diseaseassociations based on graph convolutionalnetworks via graph sampling through thefeature and topology graph.Briefings in Bioinformatics, 2021.DOI:10.1093/bib/bbab165 (SCI1区,IF=11.62) 原文链接.
[150]Xiaoqi Wang, Bin Xin, Weihong Tan,Zhijian Xu, Kenli Li, Fei Li,Wu Zhong &Shaoliang Peng*.DeepR2cov: deep representation learning on heterogeneous drug networks to discover anti-inflammatory agents for COVID-19. Briefings in Bioinformatics, 2021.DOI:10.1093/bib/bbab226 (SCI 1区,IF=11.62, 通讯作者).
[149]Yuhan Yang, Chengnian Long, Jing Wu, &Shaoliang Peng., Bo LiD2D-Enabled Mobile-Edge Computation Offloading for Multi-user IoT Network. IEEE Internet of Things Journal, 2021.原文链接;
[148]Jiajun Qiu, &Shaoliang Peng., Jin Yin, Junren Wang, Jingwen Jiang, Zhenlin Li, Huan Song, Wei ZhangA Radiomics Signature to Quantitatively Analyze COVID-19-Infected Pulmonary Lesions. Interdisciplinary Sciences: Computational Life Sciences, 2021 13(1): 61-72.原文链接;
[147]Yingbo Cui, Xiaolong Cheng, Qing Chen, ...Shaoliang Peng.CRISP-view: a database of functional genetic screens spanning multiple phenotypes, Nucleic Acids Research, 2021, 49(D1): D848-D854.原文链接;
[146]Aman Chandra Kaushik, Aamir Mehmood, &Shaoliang Peng., Yu-Juan Zhang, Xiaofeng Dai, Dong-Qing WeiNA-CaMP: a tool for anti-cancer and antimicrobial peptide generation. Journal of Biomolecular Structure and Dynamics, 2021 39(1): 285-293.原文链接;
2020年
[145]Xiaoqi Wang, Yaning Yang, Xiangke Liao, Kenli Li, Fei Li,Shaoliang Peng.selfRL: Two-Level Self-Supervised Transformer Representation Learning for Link Prediction of Heterogeneous Biomedical Networks. bioRxiv, 2020.原文链接;
[144]Xia-an Bi, Hao Wu, Xi Hu, Yu Fu,Shaoliang Peng.Clustering-Evolutionary Random Support Vector Machine Ensemble for fMRI-Based Asperger Syndrome Diagnosis, The Computer Journal, 2020.原文链接;
[143]Cui, Y., Liao, X.,Peng, S.et al. OffScan: a universal and fast CRISPR off-target sites detection tool. BMC Genomics 21, 872 (2020).原文链接;
[142]Cui, Yingbo & Cheng, Xiaolong & Chen, Qing & ... &Peng, Shaoliang.CRISP-view: a database of functional genetic screens spanning multiple phenotypes. Nucleic acids research, 2020.原文链接;
[141]Jiajun Qiu,Shaoliang Peng,Jin Yin,Junren Wang,Jingwen Jiang,Zhenlin Li,Wei Zhang. A radiomics signature to quantitatively analyze COVID-19-infected pulmonary lesions.Interdisciplinary Sciences-Computational Life Sciences.
[140]DongChen,WenjieShu,andShaoliang Peng*.Predicting CRISPR-Cas9 Off-target with Self-supervised Neural Networks.In2020 IEEE International Conference on Bioinformatics andBiomedicine(BIBM).(CCF B类会议，通讯作者).；
[139]Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, and Xiaoli Li. Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. In2020 IEEE International Conference on Bioinformatics and Biomedicine(BIBM).(CCF B类会议).；
[138]Yunhao Liu, Shaoliang Peng*, Wenjie Shu*, Bin Jiang, Chao Yang, Kun Xie. Predicting functional elements and variants effects in non-coding regions based on deep learning. IEEE HealthCom 2020.;
[137]Xiaoyi Feng, Shaoliang Peng*, Fei Li, Ying Xu, XiangXiang Zeng and Dong-Qing Wei. A drug information embedding method based on graph convolution neural network. IEEE HealthCom 2020.;
[136]Shaoliang Peng*, Liang Bai, Li Xiong, Qiang Qu, Xiaolan Xie and Shulin Wang. GeoAI-based Epidemic Control with Geo-Social Data Sharing on Blockchain. IEEE HealthCom 2020.;
[135]Jian Chen, Shaoliang Peng*, Hao Huang, Minxia Cheng, Yaning Yang, Fei Li. Protein Structure Prediction Based on Multi-Level Information Fusion. IEEE HealthCom 2020.;
[134]Shaoliang Peng*, Xiaoqi Wang, Sheng Xiao, Jiawei Luo, and Zhuo Tang. EfMulti-view Weighted Feature Fusion Using CNN for Pneumonia Detection on Chest X-Rays. IEEE HealthCom 2020.;
[133]Jiameng Liu,Shaoliang Peng*, Jiawei Luo, Zhuo Tang and Hao Liu. Segmented Encryption: A Quality and Safety Supervisory Model for Herbal Medicine Based on Blockchain Technology. IEEE HealthCom 2020.;
[132]Shaoliang Peng*, Lei Zhang,Yaning Yang, Wei Liu, Fei Li*,Hao Hong,Kenli Li, Shulin Wang. A deep metric learningalgorithm for similarity measure of the gene expression profile. IEEE HealthCom 2020.;
[131]Shaoliang Peng*, Hao Huang, Minxia Cheng, Yaning Yang, Fei Li. Efficiently recognition of vaginal micro-ecological environment based on Convolutional Neural Network. IEEE HealthCom 2020.;
[130]Yaning Yang,Shaoliang Peng*.A Dynamic Protection Mechanism for GPU Memory Overflow. NPC 2020.;
[129]Lili Zhang, Xiaoping Wang, Kai Lu,Shaoliang Peng, Xiaodong Wang*.An efficient framework for generating robust adversarial examples. Int. J. Intell. Syst. 35(9): 1433-1449 (2020).原文链接;
[128]Shaoliang Peng*, Xiaoyu Zhang, Wenhe Su, Dong Dong, Yutong Lu, Xiangke Liao, Kai Lu, Canqun Yang, Jie Liu, Weiliang Zhu, Dongqing Wei. High-Scalable Collaborated Parallel Framework for Large-Scale Molecular Dynamic Simulation on Tianhe-2 Supercomputer. IEEE/ACM Trans. Comput. Biology Bioinform. 17(3): 804-816 (2020).原文链接;
[127]Ying Xu,Cuijuan Yang,Shaoliang Peng. A Hybrid Two-Stage Financial Stock Forecasting Algorithm based on Clustering and Ensemble Learning. Applied Intelligence, 2020: 1-16.原文链接;
[126]Shaoliang Peng, Xing Hu, Jinglin Zhang, Xiaolan Xie, Chengnian Long, Zhihui Tian, Hongbo Jiang. An efficient double-layer blockchain method for vaccine production supervision. IEEE Transactions on NanoBioscience, 2020, 19(3): 579-587.原文链接;
[125] Dong Chen,Shaoliang Peng^*,Kenli Li, Ying Xu, Jinglin Zhang and Xiaolan Xie.Re-ranking Answer Selection with Similarity Aggregation.The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Xian, July 25-30, 2020: 1677-1680.(CCF A类).原文链接;

[124] Xiaan Bi, Yiming Xie, Hao Wu, Shaoliang Peng*.Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm.Frontiers of Computer Science.；
[123] Di Yang, Chengnian Long, Han Xu, Shaoliang Peng*.A Review on Scalability of Blockchain. ICBCT 2020: 1-6.原文链接；
[122] Jiameng Liu, Shaoliang Peng*, Chengnian Long, Lijun Wei, Yunhao Liu, Zhihui Tian.Blockchain for Data Science. ICBCT 2020: 24-28.原文链接；
[121] Wenzhang Zhuge, Chenping Hou, Shaoliang Peng*, Yu-Juan Zhang, Xiaofeng Dai, Dong-Qing Wei.Joint consensus and diversity for multi-view semi-supervised classification.Machine Learning: 109(3): 445-465 (2020)原文链接；
2019年


[120] Aman Chandra Kaushik, Aamir Mehmood, Shaoliang Peng*, Yu-Juan Zhang, Xiaofeng Dai, Dong-Qing Wei.A-CaMP: A Tool for Anti-Cancer and Antimicrobial Peptide Generation.Journal of Biomolecular Structure and Dynamics, 2019 (just-accepted): 1-14.原文链接；
[119] Weiwei Lin, Zilong Zhang, Shaoliang Peng*. Academic research trend analysis based on big data technology.IJCSE 20(1): 31-39 (2019).原文链接；
[118] Zekun Yin, Hao Zhang, Kai Xu, Yuandong Chan, Shaoliang Peng, Xiaoning Wang, Bertil Schmidt, Weiguo Liu.XLCS: A New Bit-Parallel Longest Common Subsequence Algorithm on Xeon Phi Clusters.HPCC/SmartCity/DSS 2019: 1477-1483.原文链接；
[117] Zhe Sun, Shaoliang Peng*, Yaning Yang, Xiaoqi Wang, and Fei Li.A General Fine-tuned Transfer Learning Model for Predicting Clinical Task Acrossing Diverse EHRs Datasets.In2019 IEEE International Conference on Bioinformatics and Biomedicine(BIBM).(CCF B类会议，通讯作者).；
[116] Xing Hu, Shaoliang Peng*, Chengnian Long, and Lijun Wei.vGuard: A Spatio-temporal Efficiency Supervision Method For Vaccine Production Based On Double-level Blockchain.In2019 IEEE International Conference on Bioinformatics and Biomedicine(BIBM).(CCF B类会议，通讯作者).；
[115] Qi Niu, Shaoliang Peng*, Xiang-li-lan Zhang, Shuai-cheng Li, Xiang-Cheng Xie, and Yi-Gang Tong.LysoPhD: predicting functional prophages in bacterial genomes from high-throughput sequencing.In2019 IEEE International Conference on Bioinformatics and Biomedicine(BIBM).(CCF B类会议，通讯作者).；
[114] Shaoliang Peng*, Yaning Yang, Wei Liu, Fei Li, and Xiangke Liao.Discriminant Projection Shared Dictionary Learning for Classification of Tumors Using Gene Expression Data.IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS.2019. (第一作者、并列通讯作者)原文链接；
[113] J Li, Y Li, W Li, H Luo, Y Xi, S Dong, M Gao, ... S Peng*, F Wu and W Yu.Guide Positioning Sequencingidentifies aberrant DNA methylation patterns that alter cell identity andtumor-immune surveillance networks.Genome Research.2019, 29:270-280. (SCI一区, top期刊，IF=10.10，并列通讯作者)原文链接；
[112]Zhang, Z.,Zhao, Y., Liao, X., Shi, W., Li, K., Zou, Q*.,Peng, S.*Deep Learning in omics: a survey and guideline. Briefings in Functional Genomics, 2019,18(1):41–57.（ESI高被引论文，并列通讯作者）原文链接；
[110]Shaoliang Peng*, Yingbo Cui , Shunyun Yang , Wenhe Su , Tenglilang Zhang , et al.A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer. IEEE/ACM Transactions on Computational Biology and Bioinformatics.2019,16(2):425 - 433.（JCR一区，CCF B类，第一作者、通讯作者）原文链接；

[109]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. 2019:1-6.（JCR一区，通讯作者）原文链接；
[108]Benyun Shi, Guangliang Liu, Hongjun Qiu, Yu-Wang Chen, Shaoliang Peng*.Voluntary Vaccination through Perceiving Epidemic Severity in Social Networks. Complexity 2019: **:1-**:13 (2019).原文链接
[107]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).原文链接
2018年

[106] Bu,D.,Peng, S.*, Luo,H., Li,X., Li,H., Sun,L., ...&Yi,Z. From big data to knowledge in precision medicine.Science.2018:359(6375):P35-38. （并列第一作者）原文链接；
[105]Guo,R.,Zhao,Y.,Zou Q.,Fang X.,&Peng, S.* Bioinformatics applications on Apache Spark.GigaScience.2018,7(8):1-10.（SCI一区，top期刊，通讯作者）原文链接；
[104] Cui, Y.,Peng, S.*,Lu, Y., Zhu, X., Wang, B., Wu, C., & Liao, X. mSNP: A Massively Parallel Algorithm for Large-Scale SNP Detection.IEEE Transactions on Parallel and Distributed Systems.2018,29(11):2557-2567. (JCR一区，CCF A类，通讯作者)原文链接；
[103]Peng, S., Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. High-scalable Collaborated Parallel Framework for Large-scale Molecular Dynamic Simulation on Tianhe-2 Supercomputer.IEEE/ACM Transactions on Computational Biology and Bioinformatics.2018,13:1-1（JCR一区，CCF B类，第一作者、通讯作者）原文链接；
[102] 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.2018,45(7): 407–410.（JCR一区，通讯作者）原文链接；
[101]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）原文链接
[100]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）原文链接
[99]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）原文链接
[98]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）原文链接
[97]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）
[96]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）
[95]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.原文链接
[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）原文链接

[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）原文链接
[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）原文链接
[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.原文链接
2017年

[89]Peng, S., Yang, S.,Bo, X., & Li, F. paraGSEA: a scalable approach for large-scale gene expression profiling.Nucleic acids research.2017,45(17),e155-e155（SCI一区，top期刊，IF=11.15，第一作者）原文链接；
[88] Liao, X., Zhu,H., Li, K., Shi, B., &Peng, S.* A novel algorithm for detecting co-evolutionary domains in protein and nucleotide sequences. In2017 IEEE International Conference on Bioinformatics and Biomedicine(BIBM)(pp. 56-61).(CCF B类会议，第一作者、并列通讯作者)原文链接；
[87] Xiao, M., Li, J., Li, W.,Wang, Y., Wu, F., Xi, Y., ... &Peng, S..MicroRNAs activategene transcription epigenetically as an enhancer trigger.RNAbiology. 2017,14(10),1326-1334（JCR一区，通讯作者）.原文链接；
[86]Peng, S., Yang, S.,Su, W., Zhang, T., Liu, W., & Zhao, X. A CPU/MIC Collaborated Parallel Framework for GROMACS on Tianhe-2 Supercomputer.In the27th International Conference on Genome Informatics (GIW).原文链接
[85]Peng, S., Yang, S., Su, W., Zhang, Z., Dong, D., ... & Zhu, W. (2017, May). mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework. InCluster, Cloud and Grid Computing (CCGRID), 2017 17th IEEE/ACM International Symposium on(pp. 671-676). IEEE.原文链接

[84]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.原文链接
[83] 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.原文链接
[82] 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）原文链接
[81] 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.原文链接
2016年
[80]Peng, S.High performance computational biology and drug design on TianHe Supercomputers.In2016 IEEE International Conference on Bioinformatics and Biomedicine(BIBM)(pp. 7-7).(CCFB类会议，第一作者、通讯作者).原文链接；
[79]Peng, S., Lu, Y., Liao, X., Lu, K., Yang, C., ... & Wei, D. mAMBER:A CPU/MIC collaborated parallel framework for AMBER on Tianhe-2 supercomputer.In2016 IEEE International Conference on Bioinformatics and Biomedicine(BIBM)(pp. 651-657). (CCF B类会议，第一作者）.原文链接
[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）原文链接
[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.原文链接
[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）原文链接
[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.原文链接
[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.原文链接
2015年
[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. InCluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on(pp. 823-828). IEEE.原文链接
[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. InCluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposiumon(pp. 781-784). IEEE.（通讯作者）原文链接
[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. InCluster, Cloud and Grid Computing(CCGrid), 2015 15th IEEE/ACM International Symposium on(pp. 729-732). IEEE.（通讯作者）原文链接
[70] Cheng, Q.,Peng, S.*,Lu, Y., Zhu, W., Xu, Z., & (2015, May). mD3DOCKxb: a deepparallel optimized software for molecular docking with Intel Xeon Phicoprocessors. InCluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on(pp. 725-728). IEEE.（通讯作者）原文链接
[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）原文链接
[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. InInternational Conference on High Performance Computing(pp.171-178). Springer, Cham.（通讯作者）原文链接
[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.原文链接
[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. InInternational Conference on High Performance Computing(pp. 74-86). Springer, Cham.（通讯作者）原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
2014年
[60] Liu, X., Li, M., Li, S.,Peng,S*., Liao, X., & Lu, X. IMGPU: GPU-accelerated influence maximization in large-scale social networks.IEEE Transactions on Paralleland Distributed Systems.2014,25(1):136-145.（JCR一区，CCF A类，并列通讯作者）原文链接；
[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.原文链接
[58] Cui, Y., Liao, X., Zhu, X.,Wang, B., &Peng, S.(2014). mBWA: A massively parallel sequencereads aligner. In8th International Conference on Practical Applicationsof Computational Biology & Bioinformatics (PACBB 2014)(pp. 113-120).Springer, Cham.原文链接
[57] 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.原文链接
2013年
[56] 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）原文链接
[55] 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.InACM SIGCOMM Computer Communication Review(Vol. 43, No. 4, pp.511-512). ACM.（并列通讯作者）原文链接
[54] 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.原文链接
[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.原文链接
[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.原文链接
2012年

[49]Peng, S., Xing, G.,Li, S., Jia, W., & Peng, Y. Fast release/capture sampling inlarge-scale sensor networks.IEEE Transactions on Mobile Computing.2012,11(8),1274-1286 (JCR一区，CCF A类，第一作者、通讯作者)原文链接；
[48] Luo, R., Liu, B., Xie, Y.,Li, Z., Huang, W., Yuan, J., ... &Peng, S. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler.Gigascience.2012, 1(1), 18.（ESI高被引论文，引用次数超过1771，SCI一区，top期刊）原文链接；
[47]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.原文链接
[46] Liu, B., Yao, Y., Jiang, Z.,Yan, L., Qu, Q., &Peng, S.(2012, July). HLA-based parallel simulation: A case study. InPrinciples of Advanced and Distributed Simulation (PADS), 2012 ACM/IEEE/SCS 26th Workshop on(pp. 65-67). IEEE.原文链接
2011年
[45] Hou, B., Yao, Y., &Peng,S.* (2011, June). Empirical study on entity interaction graph oflarge-scale parallel simulations. InProceedings 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. InPrinciples of Advanced and Distributed Simulation (PADS), 2011 IEEE Workshop on(pp. 1-9). IEEE.（并列通讯作者）原文链接
2010年
[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. InQuality of Service (IWQoS), 2010 18th International Workshop on(pp. 1-8). IEEE.原文链接
[42] Liu, Z., Song, J., &Peng,S.*(2010, June). MPIActor: A thread-based MPI program accelerator. InQuality of Service (IWQoS), 2010 18th International Workshopon(pp. 1-2). IEEE.（并列通讯作者）原文链接
[41] Li, S., Zheng, S., Liao, X.,&Peng, S.* (2010, June). Exploring the practicability of mobile sensors in complex environment surveillance. InQuality of Service (IWQoS), 2010 18th International Workshop on(pp. 1-2). IEEE.（并列通讯作者）原文链接
2009年
[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.原文链接
[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. InProceedings 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）原文链接
[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. In2009 International Workshop on High Performance Computational Systems Biology(pp. 91-100). IEEE.（并列通讯作者）原文链接
2008年
[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.原文链接
[35]Peng, S., Li, S.,Chen, L., Xiao, N., & Peng, Y. (2008, April). SenCast: Scalable multicastin wireless sensor networks. InParallel and Distributed Processing, 2008. IPDPS 2008. IEEE International Symposium on(pp. 1-9). IEEE.原文链接
[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.原文链接
[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.原文链接
[32] Cheng, W., Liao, X., Shen,C.,Peng, S., & Li, S. (2008, June). Monitoring Diffusible Event with Point-Sensing Sensors. InInnovative Computing Information and Control, 2008. ICICIC'08. 3rd International Conference on(pp. 592-592). IEEE.原文链接
[31] Shen, C., Cheng, W., Liao, X., &Peng, S.(2008, May). Barrier coverage with mobile sensors. InParallel Architectures, Algorithms, and Networks, 2008. I-SPAN 2008.International Symposium on(pp. 99-104). IEEE.原文链接
[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.原文链接
[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.原文链接
2007年
[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. InInternational Conference on Ubiquitous Intelligence and Computing(pp. 514-523). Springer, Berlin, Heidelberg.原文链接
[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. InInternational Conference on Computational Science(pp.393-400). Springer, Berlin, Heidelberg.原文链接
[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.InIntegrated Network Management, 2007. IM'07. 10th IFIP/IEEE International Symposium on(pp. 793-796). IEEE.（并列通讯作者）原文链接
[25] Li, S., Liao, X.,Peng,S.*, Zhu, P., & Jiang, J. (2007, July). Credit based fairness control in wireless sensor network. InSoftware 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）原文链接
2006年
[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. InInternational Conference on Distributed Computing and Networking(pp. 454-465). Springer, Berlin, Heidelberg.原文链接
[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. InInternational Conference on Wireless Algorithms, Systems, and Applications(pp. 163-174). Springer, Berlin, Heidelberg.（并列通讯作者）原文链接
[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. InInternational Conference on Ad-Hoc Networks and Wireless(pp. 114-127). Springer, Berlin, Heidelberg.（并列通讯作者）原文链接
[21] Weifang, C., Xiangke, L.,Changxiang, S., Shanshan, L., &Shaoliang, P.* (2006, August). A trust-based routing framework in energy-constrained wireless sensor networks. InInternational Conference on Wireless Algorithms, Systems, and Applications(pp. 478-489). Springer, Berlin, Heidelberg.（并列通讯作者）原文链接
国内论文
[22]彭绍亮,白亮,王力,程敏霞,王树林.面向智慧医疗的边缘计算体系的可信计算研究[J].电信科学.2020.
[21]彭绍亮,王力,王小奇,李肯立.国家超算长沙中心助力新冠肺炎疫情防控[J].国防科技.2020.
[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.原文链接
[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.原文链接
[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.原文链接（被中国科学技术信息研究所遴选为F5000论文)
[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）原文链接
[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).原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接
[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.原文链接