曾婉雯
所属部门: 软件工程系
电子邮件: wwzeng@nankai.edu.cn
职 称: 讲师
学 历: 博士
所学专业: 控制科学与工程
研究方向:机器学习、深度学习、统计学习、生物信息学




教育背景
2014.09 – 2019.10 清华大学，北京，中国
工学博士，自动化系，导师：江瑞，博士

2017.09– 2018.09 斯坦福大学，加利福尼亚州，美国
访问****，统计系，导师：Wing H. Wong，博士

2010.09 – 2014.06 天津大学，天津，中国
工学学士，计算机科学与技术系
2011.09 – 2014.06 南开大学，天津，中国
经济学学士，金融学系（双学位）



论文发表

Wanwen Zeng, Yong Wang^#and Rui Jiang^#. “Integrating distal and proximal information to predict gene expression via a densely connected convolutional neural network”.Bioinformatics, 2020.(IF = 4.531，中科院1区，JCR 1区)
Wanwen Zeng*, Xi Chen*, Zhana Duren*, Yong Wang, Rui Jiang^# and Wing Hung Wong^#. “DC3: Deconvolution and coupled clustering from bulk and single cell genomics data”. Nature Communications, 2019. (IF = 11.878，中科院1区，JCR 1区)
Wanwen Zeng, Xu Min and Rui Jiang. “EnDisease: a manually curated database for enhancer-disease associations”. Database, 2019. (IF = 3.683，中科院2区，JCR 1区)
Wanwen Zeng, Mengmeng Wu and Rui Jiang. “Prediction of enhancer-promoter interactions via natural language processing”. BMC Genomics, 2018. (IF = 3.501，中科院2区，JCR 2区)
Zhana Duren*, Xi Chen*, Mahdi Zamanighomi*,Wanwen Zeng,Ansuman T. Satpathy, Howard Y. Chang, Yong Wang, and Wing Hung Wong “Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations”.PNAS, 2018.(IF = 9.580，中科院1区，JCR 1区)
Mengmeng Wu,Wanwen Zeng, Wenqiang Liu, Hairong Lv, Ting Chen and Rui Jiang. “Leveraging multiple gene networks to prioritize GWAS candidate genes via network representation learning”.Methods, 2018.(IF = 3.782，中科院2区，JCR 1区)
Xu Min*, Wanwen Zeng*, Shengquan Chen, Ning Chen, Ting Chen^# and Rui Jiang^#. “Predicting enhancers with deep convolutional neural networks”. BMC Bioinformatics, 2017. (共同一作，IF = 2.511，中科院2区，JCR 1区)
Xu Min, Wanwen Zeng, Ning Chen, Ting Chen^# and Rui Jiang^#. “Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding”. Bioinformatics, 2017. (IF = 4.531，中科院1区，JCR 1区)
Mingxin Gan, Wenran Li, Wanwen Zeng, Xiaojian Wang and Rui Jiang. “Mimvec: a deep learning approach for analyzing the human phenome”. BMC Systems Biology, 2017. (IF = 2.048，中科院2区，JCR 2区)
Jiaxin Wu, Mengmeng Wu, Lianshuo Li, Zhuo Liu, Wanwen Zeng and Rui Jiang. “dbWGFP: a database and web server of human whole-genome single nucleotide variants and their functional predictions”. Database, 2016. (IF = 3.683，中科院2区，JCR 1区)
*共同第一作者，#共同通讯作者


学术报告
2019.07 邀请报告，北京大学基础医学院医学生物信息学院，北京，中国
2018.12 邀请报告，中国科学院数学与系统科学研究院，北京，中国
2018.01 口头报告，The Seventeenth Asia-Pacific Bioinformatics Conference，横滨，日本
2017.11 口头报告，The IEEE International Conference on Bioinformatics and Biomedicine，堪萨斯，美国
2017.06 口头报告，清华大学自动化系博士生论坛，北京，中国