凌诚,博士,副教授

发布人:信息学院发布时间:2020-03-31浏览次数:1284

    凌诚,博士,副教授,硕士生导师。2012年6月毕业于英国爱丁堡大学; 2012.6 ~ 2012.8于日本长崎大学从事访问研究; 2013.7 ~ 2015.7于清华大学计算机系智能技术与系统国家重点实验室从事博士后研究工作。2015.7~目前,北京化工大学计算机科学与技术系任教。主要研究领域包括智能计算、生物信息处理、地理信息处理。担任中国灾害防御协会油气储运自然灾害防治专业委员会委员、副秘书长。作为项目负责人已完成和在研国家自然科学基金项目1项、北京市自然科学基金项目1项,企业横向合作若干项,共发表论文二十余篇。

邮箱:lingcheng@mail.buct.edu.cn

教学课程 Teaching Courses

课程名称课程备注
汇编语言程序设计本科生
计算机组成原理本科生


主要科研项目 Research Projects

项目名称项目来源
分布式环境下分子系统发育分析高性能计算方法研究国家自然科学基金青年项目
面向基因组学分析的高性能计算方法的研究北京市自然科学基金青年项目
天然气长输管网监测预警信息化系统企业横向项目


学术论文 Research Publications

    ● Arong Luo, Cheng Ling, Chaodong Zhu*, et al. Comparison of Methods for Molecular Species Delimitation across a Range of Speciation Scenarios, Systematic Biology, 2018, 67(5):830-846

    ● Cheng Ling, Lin Yue, et al, Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, 2018, pp. 2262-2268

    ● Yichan Li, Cheng Ling*, et al, GPU Parallelism of Phylogenetic Likelihood Estimates for Protein Data, IEEE International Conference on High Performance Computing (HPCC), Exeter, United Kingdom, 2018, pp. 632-639

    ● Man Li, Cheng Ling*, et al. Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments. Amino Acids, 2017, 50(1):1-12

    ● Man Li, Cheng Ling*, et al. An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram, IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, 2017, pp.924-931

    ● Cheng Ling, et al. MrBayes tgMC3++: a High Performance and Resource-Efficient GPU-oriented Phylogenetic Analysis Method. IEEE/ACM Transactions on Computational Biology & Bioinformatics (TCBB), 2016, 13(5):845-854

    ● Cheng Ling, et al. MrBayes 3.2.6 on Tianhe-1A: A High Performance and Distributed Implementation of Phylogenetic Analysis. IEEE International Conference on Parallel and Distributed Systems (ICPADS), Wuhan, China, 2016, pp.1181-1186

    ● Cheng Ling, et al. Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Tianjin, China, 2016, pp.1210-1217

    ● Cheng Ling, et al. Optimizing the Bayesian Inference of Phylogeny on Graphic Processors. IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2015, 22(2):333-342

    ● Cheng Ling, et al. MrBayes tgMC3: A tight GPU implementation of MrBayes. PloS one, 2013, 8(4), e60667