Home Page 实验室主页
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。
Short Bio:
, , China. Before joining SEU, I was a Ph.D. student in the at the University of Virginia, working with . 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 ,
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 Mathematics, Nanjing University, Nanjing.
Selected Students' Publications:
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) | |
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:
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
