王贝伦
职称:副高
所在院系:计算机工程系
研究方向:迁移学习/多任务学习/小样本学习,知识工程,大规模机器学习,概率图模型,张量分解,对抗学习,可解释机器学习等
电话:
邮箱:beilun@seu.edu.cn
职务:
个人简介
研究方向
教育经历
工作经历
科研项目
论文著作
专利
获奖情况

Home Page 实验室主页

在线课程机器学习课程头像

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 2024 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24届免研的同学报考我的研究生。
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。

  • 如果你是本校本科生,想在本科阶段参与实验室学习,那么你可以在大一升大二的暑假 申请 

  • 如果你是本校准备推免的学生,那么你可以在大二升大三暑假/大三学年上学期 申请

  • 如果你是外校准备推免的学生,那么你可以在大三下学期(5月份左右)申请

Short Bio

I am an associate professor in School of Computer Science and EngineeringSoutheast 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 MathematicsNanjing University, Nanjing in June of 2013.

Research Interests

Transfer learning multi-task learning few-shot learning

Knowledge Engineering

Large-scale Machine Learning

Probabilistic Graphical Models

Tensor Factorization

Adversarial Learning

Interpretable machine learning

Applications (biological, cyber security, etc.)


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.

Selected Students' Publications

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

ICML 2024    Adaptive Group Personalization for Federated Mutual Transfer Learning, Haoqing Xu, Dian Shen, Meng Wang,  Beilun Wang*(论文一作为实验室成员徐浩卿)

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)

计算机研究与发展 2023

    面向信息系统推荐与决策的高阶张量分析方法,王贝伦,张嘉琦,蔡英豪,王兆阳,谈笑,沈典

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)

TOSN 2021    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)

Neurocomputing 2022    Fast and Scalable Learning of Sparse changes in High-dimensional Graphical Model Structure, Beilun Wang, Jiaqi Zhang, Haoqing Xu, Te Tao (link)

Knowledge-Based Systems 2022    

TKGAT: Graph Attention Network for Knowledge Enhanced Tag-aware Recommendation System, Beilun Wang, Haoqing Xu, Chunshu Li, Yuchen Li, Meng Wang (link)


CIKM 2023    

Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data, Xiao Tan, Yangyang Shen, Meng Wang, Beilun Wang* (link)


ICDM 2023    

Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module, Yan Zhang, Cheng Chen, Dian Shen, Meng Wang, Beilun Wang*


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


Awards (Research or Teaching)

2022    2022年度江苏省科学技术奖三等奖(排名1/7),江苏省科学技术厅

2022    2022年国家级教学成果奖二等奖(排名4/15),教育部

2021    第十七届挑战杯“揭榜挂帅”专项赛“中国软件”赛道特等奖,第一指导老师,共青团中央

2021    第十七届挑战杯“揭榜挂帅”专项赛“中国电信”赛道一等奖,第一指导老师,共青团中央

2022    2022年江苏省普通高校本专科优秀毕业设计(论文)一等奖,指导老师,江苏省教育厅

2020    2020年江苏省普通高校本专科优秀毕业设计(论文)一等奖,指导老师,江苏省教育厅

2021    江苏省教学成果奖(高等教育类)一等奖(排名4/12),江苏省教育厅

2022    第十七届“挑战杯”全国大学生课外学术科技作品竞赛优秀指导教师,共青团中央


Group Member

Adjunct Professors

 沈典 (seu.edu.cn)

 个人简介:博士,江苏南京人,东南大学计算机科学与工程学院副教授,博士生导师,江苏省优秀青年科学基金获得者,东南大学“至善青年学者”。

 合作方向:机器学习硬件加速与云计算架构

Current Students

Doctor

    Year 2018

        Xiao Tan  Undergraduate & Master

        Kaihong Huang  Undergraduate & Master

        Yan Zhang  Undergraduate & Master

Master

    Year 2017
        Yueyao Chen  Undergraduate & Master

        Jingyu Kuang  Undergraduate & Master

    Year 2018
        Haoqing Xu  Undergraduate & Master

        Lihan Ren  Undergraduate & Master

        Zhengxuan Lu  Undergraduate & Master

    Year 2019
        Tianyi Ma  Undergraduate & Master

        Jiayi Wu  Undergraduate & Master

        Shilin Zhu  Undergraduate & Master

        Zhaoyang Wang  Undergraduate & Master

        Yangyang Shen  Undergraduate & Master 

Undergraduate

    Year 2020

        Peijun Lin  Undergraduate

        Yuzhang Wu  Undergraduate

        JunTao Yang  Undergraduate

        Wenhao Chen  Undergraduate

        Xiangyu Guan  Undergraduate

        Nianzong Guo  Undergraduate

    Year 2021

        Yutian Shi  Undergraduate

        Ying Zhan  Undergraduate

Past Students
    Year 2016
        Jiaqi Zhang  Undergraduate | Ph.D. student in Brown University

        Cheng Chen  Undergraduate & Master | 苏州电信

    Others

       Jingtian Zhang, Jiaying Zhou, Rui Ma, Xu Huang, Hongli Li, Liqiang Lu, Yuhang Ran, Shuwen Sun


  • 联系方式
  • 通信地址:南京市江宁区东南大学路2号东南大学九龙湖校区计算机学院
  • 邮政编码:211189
  • ​办公地点:东南大学九龙湖校区计算机楼
  • 学院微信公众号