人物经历
2016.9-至今，天津大学信息管理与管理科学系讲师。
2013年-2015年，美国德州农工大学计算机工程博士。
2010年-2013年，美国南佛罗里达大学计算机科学与工程硕士。
2003年-2007年，中国矿业大学(北京)计算机科学与技术学士。
主要成就
承担科研项目
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。
出版专著
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.
期刊论文
Meng Lu*. Embedded feature selection accounting for unknown data heterogeneity. Expert Systems with Applications. 119, 350-361, 2019. (ABS Grade 3)
Meng Lu*. An Embedded Method for Gene Identification Problems Involving Unwanted Data Heterogeneity. BMC Human Genomics, 13(S1), 2019. (Impact Factor: 3.33)
Meng Lu*, Jianhua Z. Huang and Xiaoning Qian. Sparse Exponential Family Principal Component Analysis. Pattern Recognition, 60: 681–691, 2016. (Impact Factor: 5.8)
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)
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
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%)
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.
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.
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.
所获奖项
2015年悉尼KDD student travel award。
2013年南佛罗里达大学研究生科研挑战奖。
2012年华盛顿GENSIPS国际会议美国国家自然科学基金travel award。
2012年奥兰多ACM BCB国际会议美国国家自然科学基金travel award。
2007年中国矿业大学(北京)本科毕业论文优秀奖。
社会任职
Pattern Recognition》、《Pattern Recognition Letters》、《IEEE/ACM Transactions on Computational Biology and Bioinformatics》审稿人。
IEEE、ACM会员。
