姓名：郭俊
职称：讲师
研究方向:超对称物理，暗物质物理，机器学习在高能物理中的应用，宇宙学相变
办公地点：实验大楼东501
办公电话: 19979025451
电子邮箱:jguo_hep@163.com
教育工作经历：
(1) 2015-04至2016-03，法国国家科研中心，理论物理，博士联合培养
(2) 2011-09至2017-06,中国科学院理论物理研究所,理论物理,博士
(3) 2007-09至2011-06,华中科技大学,应用物理,学士
主要著作：
(1)Jun Guo; ZhaofengKang; PengZhang ; WIMP dark matter hidden behind its companion, Physics
Letters B, 2022, 826(136885): 136885-136893 (期刊论文)
(2)Jun Guo; Jinmian Li; Tianjun Li; Rao Zhang ; Boosted Higgs boson jet reconstruction via a
graph neural network, Physical Review D, 2021, 103(11): 116025-116043 (期刊论文)
(3)Jun Guo; Jinmian Li; Fangzhou Xu; Wenxing Zhang ; Deep learning for R-parity violating supersymmetry searches at the LHC, Physical Review D, 2018, 98(7): 076017-0760134 (期刊论文)
(4)Jun Guo; Zhaofeng Kang; P Ko; Yuta Orikasa ; Accidental dark matter: Case in the scale invariant local B-L model, Physical Review D, 2015, 91(11): 115017-115046 (期刊论文)
(5) Chiara Arina; Mihailo Backović; Eric Conte; Benjamin Fuks;Jun Guo; A comprehensive approach to dark matter studies: exploration of simplified top-philic models, Journal of High Energy