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 访问学者，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）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
研究领域
机器学习、深度学习、统计学习、生物信息学""
近期论文
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)
