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Resume(个人简历)

王子元 (Ziyuan Wang)

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硕士, 推理与学习研究组R&L Group,
计算机科学与技术系,
软件新技术国家重点实验室,
南京大学, Nanjing 210023, China
导师: 史颖欢
邮箱: zywang5515@foxmail.com; zywang5515@gmail.com
地址: 924, 计算机科学与技术楼, 南京大学仙林校区


简介


研究方向

机器学习与计算机视觉. 重点包括:

  • 强化学习&多智能体 deep reinforcement learning & multi-agent systems
  • 数据增强 data augmentation
  • 半监督学习 semi-supervised learning
  • 多标签识别 multi-label recognition

论文发表

  • Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
    Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen
    IEEE Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2020. pdf

奖项荣誉

  • ACM-ICPC 国际大学生程序设计竞赛亚洲区域赛 金牌(The ACM-ICPC Asia Regional Contest, Gold Medal, 2017.)
  • CCF-CCSP 全国大学生系统与程序设计竞赛 银奖 (CCF-CCSP,Silver Award, 2017.)
  • ACM-ICPC 国际大学生程序设计竞赛中国邀请赛 银牌(The ACM-ICPC China Invitational Contest, Silver Medal, 2017.)
  • ACM-CCPC 东北地区程序设计设计竞赛 金牌(The ACM-CCPC Northeast Collegiate Programming Contest, Gold Medal, 2018.)
  • [codeforces]wintersky

其他

  • [2020年春季学期]离散数学助教
  • [2019-2020] 参与组织2020年推理与学习研究组年会
  • [2019.秋-2020.秋] 管理推理与学习研究组主页&微信公众号

联系方式

Email: zywang5515@foxmail.com
地址: 924, 计算机科学与技术楼, 南京大学仙林校区
通信地址: 王子元, 南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.

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M.Sc. candidate, R&L Group,
Department of Computer Science & Technology,
National Key Laboratory for Novel Software Technology,
Nanjing University, Nanjing 210023, China

Supervisor: A.Prof. Yinghuan Shi

Email: zywang5515@foxmail.com; zywang5515@gmail.com
Laboratory: Room 924, Computer Science Building, Xianlin Campus of Nanjing University


Biography

  • I am currently a second-year M.Sc student of Department of Computer Science & Technology in Nanjing University and a member of R&L Group, which is led by professor Yang Gao.
  • I received my B.Eng. degree in department of software engineering of Jilin University in 2019. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University without entrance examination.

Research Interest

My research interests include Machine Learning and Computer Vision. Especially in,

  • deep reinforcement learning & multi-agent systems
  • data augmentation
  • semi-supervised learning
  • multi-label recognition

Publication

  • Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
    Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen
    IEEE Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2020. pdf

Awards & Honors

  • The ACM-ICPC Asia Regional Contest, Gold Medal, 2017.
  • CCF-CCSP 2017, Silver Award, 2017.
  • The ACM-ICPC China Invitational Contest, Silver Medal, 2017.
  • The ACM-CCPC Northeast Collegiate Programming Contest, Gold Medal, 2018.
  • [codeforces]wintersky

Others

  • [Spring 2020] Discrete Mathmatics. Teaching Assistant at NJU.
  • [2019-2020] Annual meeting of R&L group. Organizer.
  • [2019 Fall -2020 Spring] Homepage and WeChat official account of R&L group. Maintainer.

Correspondence

Email: zywang5515@foxmail.com
Laboratory: Room 924, Computer Science Building, Xianlin Campus of Nanjing University
Address: Ziyuan Wang, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.)