王贝伦

发布者:王贝伦发布时间:2019-01-05浏览次数:13147

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Short Bio:

I am an associate professor in School of Computer Science and Engineering, Southeast University, China. Before joining SEU, I was a Ph.D. student in the Department of Computer Science at the University of Virginia, working with Prof. Yanjun Qi. I was also a member of UVA Machine Learning and Biomedicine Group. My research interest is Machine learning, especially Reliable Graph Learning methods and their applications. Before that, I received my B.S. from Department of Mathematics, Nanjing University, Nanjing in June of 2013.

Recruiting:

I am actively recruiting talented and hardworking second- or third-year undergraduate students who are interested in machine learning research. I also welcome Year 2023 master students to join our group.
If you are interested in our group, feel free to email me or contact any group members if you think it would be better.

本人正在积极寻找指导对机器学习感兴趣并且能力出色、勤奋踏实的大二/大三本科生。同时欢迎在23届免研的同学报考我的硕士研究生。
如果你对我们的实验室感兴趣,可以直接发邮件和我交流,也可以咨询实验室的组员进行深入了解。

🔗 Home Page 实验室主页 | 本科招新 | 硕士研究生招新

Research Interests:

Large-scale Machine Learning / Edge computing
Multi-task / Transfer / Meta Learning
Natural Language Processing
Graphical model / Tensor Decomposition
Adversarial Machine Learning / Interpretability
Applications (biological, cyber security, etc.)

Group Member:

Current Students:
Year 2016:
  Cheng Chen  Undergraduate & Master
Year 2017:
  Yueyao Chen  Undergraduate & Master
  Jingyu Kuang  Undergraduate & Master
Year 2018:
  Chunshu Li  Undergraduate & Master | Co-advised with Prof. Meng Wang  
  Haoqing Xu  Undergraduate & Master
  Xiao Tan  Undergraduate & Master
  Kaihong Huang  Undergraduate & Master
  Yan Zhang  Undergraduate & Master
  Lihan Ren  Undergraduate & Master
  Zhengxuan Lu  Undergraduate & Master
  Yichen Liu  Undergraduate
Year 2019:
  Tongtong Su  Undergraduate
  Tianyi Ma  Undergraduate
  Danying Xu  Undergraduate
  Yuchen Li  Undergraduate
  Youyuan Liu  Undergraduate
  Jialiang Zhu  Undergraduate
  Yujia Sun  Undergraduate
  Yuanwei Li  Undergraduate

Past Students:
Year 2016:
  Jiaqi Zhang  Undergraduate | Ph.D. student in Brown University
Others:
  Jingtian Zhang, Jiaying Zhou, Rui Ma, Xu Huang, Hongli Li, Liqiang Lu, Yuhang Ran, Shuwen Sun

Education & Work Experience:

Current: Associate Professor in School of Computer Science and Engineering, in Southeast University.
2013 August - 2018 August: Ph.D. in Computer Science Department of Computer Science, in University of Virginia.
2009 September - 2013 June: I received my B.S. in June of 2013 from Department of MathematicsNanjing University, Nanjing.

Awards (Research or Teaching):

  • 第十七届挑战杯“揭榜挂帅”专项赛“中国软件”赛道特等奖, 国家级, 2021,第一指导老师(团队成员:陈诚、徐丹颖、李雨辰、苏彤彤、李沅蔚、马添毅,所有成员均为实验室成员)

  • 第十七届挑战杯“揭榜挂帅”专项赛“中国电信”赛道一等奖,国家级,2021,第一指导老师(团队成员中任栗晗(队长)、李春澍、旷菁宇、黄开鸿、刘幽远、朱嘉梁、孙雨佳均为实验室成员)

  • 2020年江苏省普通高校本专科优秀毕业设计(论文)一等奖,省部级,2021,指导老师(学生姓名:张嘉琦,为实验室成员)

  • 2021年江苏省教学成果奖(高等教育类)一等奖,省部级,2021

Selected Publication:

For all publications, please visit my google scholar.
Representative papers:

ICML 2022    A difference standardization method for mutual transfer learning, Haoqing Xu, Meng Wang, Beilun Wang*(论文一作为实验室成员徐浩卿)

ICML 2018    A fast and scalable joint estimator for integrating additional knowledge in learning multiple related sparse Gaussian graphical models, Beilun Wang, Arshdeep Sekhon, and Yanjun Qi (link)

IJCAI 2020    Quadratic sparse gaussian graphical model estimation method for massive variables, Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, and Beilun Wang* (link)(论文一作为实验室成员张嘉琦)

AISTATS 2018    Fast and scalable learning of sparse changes in high-dimensional gaussian graphical model structure, Beilun Wang, Arshdeep Sekhon and Yanjun Qi (link)

AISTATS 2017    A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models, Beilun Wang, Ji Gao, Yanjun Qi (link)

Machine Learning    A constrained ℓ1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models, Beilun Wang*, Ritambhara Singh, and Yanjun Qi (link)

ACM Transactions
on Sensor Networks (TOSN)
    Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network, Beilun Wang, Jiaqi Zhang, Yan Zhang, Meng Wang, and Sen Wang (link)

东南大学出版社    《机器学习》,王贝伦,张雨哲,王萌,张敏灵等,2021