袁野

职称:长聘教轨副教授

邮箱:yuanye_auto@sjtu.edu.cn

电话:15811577194

地址:电院2-443

个人简历


教育经历

(1) 2016-1至2016-4, 斯坦福大学, 统计, 访问学生, 导师: Wing Hung Wong
(2) 2012-9至2017-7, 清华大学, 自动化, 博士, 导师: 李衍达
(3) 2008-9至2012-7, 西安交通大学, 自动化, 学士

工作经历

(1) 2020-12至现在, 上海交通大学, 自动化系, 副教授
(2) 2017-7至2017-9, 百度在线网络技术(北京)有限公司, 大数据实验室, 高级研发工程师

(3) 2017-10至2020-12, 卡内基梅隆大学计算机学院机器学习系, 博士后, 导师: Ziv Bar-Joseph


代表性工作

(1)   Deep learning for inferring gene relationships from single-cell expression data; Proceedings of the National Academy of Sciences of the United States of America (PNAS); 116 (52); 27151-27158; Ye Yuan; Ziv Bar-Joseph*,2019 [美国国家科学院院刊]

(2)    Model-guided quantitative analysis of microRNA-mediated regulation on competing endogenous RNAs using a synthetic gene circuit; Proceedings of the National Academy of Sciences of the United States of America (PNAS); 112 (10); 3158-3163; Ye Yuan#; Bing Liu#; Peng Xie; Michael Q. Zhang; Yanda Li; Zhen Xie*; Xiaowo Wang*, 2015

(3)   GCNG: graph convolutional networks for inferring gene interaction from spatial transcriptomics data; Genome Biology; 21 (1); 1-16; Ye Yuan; Ziv Bar-Joseph*, 2020 [5年影响因子19]

(4)   Deep learning of gene relationships from single cell time-course expression data; Briefings in            Bioinformatics, Ye Yuan, Ziv Bar-Joseph*, 2021

(5)   Regulation by competition: a hidden layer of gene regulatory network; Quantitative Biology; 7 (2); 110-121; Lei Wei#; Ye Yuan#; Tao Hu; Shuailin Li; Tianrun Cheng; Jinzhi Lei; Zhen Xie; Michael Q. Zhang; Xiaowo Wang*, 2019

(6)   A quantitative understanding of microRNA- mediated competing endogenous RNA regulation; Quantitative Biology; 4 (1); 47-57; Ye Yuan#; Xinying Ren#; Zhen Xie; Xiaowo Wang*, 2016

(7)   Challenges in large-scale synthetic gene circuits design; Sheng wu gong cheng xue bao = Chinese journal of biotechnology; 33 (3); 372-385; Lei Wei; Ye Yuan; Xiaowo Wang*, 2017

(8)   Reconstructing SARS-CoV-2 response signaling and regulatory networks; bioRxiv; Jun Ding#, Jose Lugo-Martinez#, Ye Yuan#, Darrell N. Kotton, Ziv Bar-Joseph*, 2021

(9)   Causal inference using deep neural networks; arXiv; Ye Yuan#, Xueying Ding#, Ziv Bar-Joseph*, 2021

(10)  Cell Type Assignments for Spatial Transcriptomics Data; bioRxiv, Haotian Teng, Ye Yuan, Ziv Bar-Joseph*, 2021

(11)  CINS: Cell Interaction Network inference from Single cell expression data; bioRxiv; Ye Yuan, Carlos Cosme Jr., Taylor Sterling Adams, Jonas Schupp, Koji Sakamoto, Nikos Xylourgidis, Matthew Ruffalo, Naftali Kaminski, Ziv Bar-Joseph*, 2021


担任 Nature Machine Intelligence(Nature子刊)、Cell SystemsCell 子刊)Briefings in BioinformaticsBioinformaticsPLOS Computational BiologyISMB 等多个知名生物信息学期刊、会议审稿人


招生、招聘信息

  • 博士生、硕士生:欢迎计划2022年入学同学提前联系。
  • 本科生:长期接收未来准备出国、希望本科阶段发表论文的同学加入课题组进行研究、做毕业设计。





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