吕萌
信息管理与管理科学系讲师
CV 下载
电子邮箱：lvmeng0502@gmail.com
研究方向：大数据建模与分析，推荐系统，机器学习及其在电子商务领域中的应用

个人简介
研究成果
研究项目
学术与社会服务
【教育与工作经历】
时间
单位专业
学位/职务

2016. 9-至今
天津大学信息管理与管理科学系
讲师

2013-2015
美国德州农工大学 计算机工程
博士

2010-2013
美国南佛罗里达大学
计算机科学与工程
硕士

2003-2007
中国矿业大学(北京)
计算机科学与技术
学士


【期刊论文】
[1]Meng Lu*. Embedded feature selection accounting for unknown data heterogeneity. Expert Systems with Applications. 119, 350-361, 2019. (ABS Grade 3)
[2]Meng Lu*. An Embedded Method for Gene IdentificationProblems Involving Unwanted Data Heterogeneity. BMC Human Genomics, 13(S1), 2019. (Impact Factor: 3.33)
[3] Meng Lu*, Jianhua Z. Huang and Xiaoning Qian. Sparse Exponential Family PrincipalComponent Analysis. Pattern Recognition, 60: 681–691, 2016.(Impact Factor: 5.8)
[4] Meng Lu, Hye-Seung Lee, David Hadley, Jianhua Z. Huang and Xiaoning Qian*. Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 11(6): 1020-1028, 2014.(Impact Factor: 2.43)
[5] Meng Lu, Hye-Seung Lee, David Hadley, Jianhua Z. Huang and Xiaoning Qian*. Supervised Categorical Principal Component Analysis for Genome-wide Association Analyses. BMC Genomics, 15:S10, 2014.(Impact Factor: 3.98)
【会议论文】
[1]Meng Lu*. An embedded method for gene identification in heterogeneous data involving unwanted heterogeneity.IEEE International Conference on Bioinformatics and Biomedicine(BIBM), 242-247, 2018. (long paper, acceptance rate: 19.7%)
[2]Meng Lu, Shuai Huang, Jared Odegard, Cate Speake, Jianhua Z. Huang and Xiaoning Qian*. A Model for Scoring Candidate Biomarker Utility in High-Dimensional Datasets with Replicate Tests. NIPS Workshop on Machine Learning in Computational Biology, Montreal, Dec 2015.
[3]Meng Lu, Shuai Huang, Jared Odegard, Cate Speake, Jianhua Z. Huang and Xiaoning Qian*. EigenBiomarker: A Method for Composite Biomarker Detection with Applications in Type 1 Diabetes (T1D). The 14th International Workshop on Data Mining in Bioinformatics(BIOKDD'15, In conjunction with ACM KDD'15), Sydney, Aug 2015.
[4]Meng Lu, Jianhua Z. Huang and Xiaoning Qian*. Supervised Logistic Principal Component Analysis for Pathway Based Genome-Wide Association Studies. ACM Conference on Bioinformatics, Computational Biology and Biomedicine(ACM BCB), 52-59, 2012.
【专著】
[1]Meng Lu, Kai He, Jianhua Z. Huang and Xiaoning Qian*. Chapter 8: Principal Component Analysis for Exponential Family Data. In Book:《Advances in Principal Component Analysis》pp: 193-223. Springer, Singapore, 2018.
【所获奖项】
[1] 2015年悉尼KDD student travel award
[2] 2013年南佛罗里达大学研究生科研挑战奖
[3] 2012年华盛顿GENSIPS国际会议美国国家自然科学基金travel award
[4] 2012年奥兰多ACM BCB国际会议美国国家自然科学基金travel award
[5] 2007年中国矿业大学(北京)本科毕业论文优秀奖
[1]项目主持人，“多源异质用户下基于迁移学习的跨领域推荐研究”，国家自然科学基金青年科学基金项目，2020.1-2022.12.
[1] 《Pattern Recognition》、《Pattern Recognition Letters》、《IEEE/ACM Transactions on Computational Biology and Bioinformatics》审稿人
[2] IEEE、ACM会员