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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.
本人正在積極尋找指導對機器學習感興趣并且能力出色、勤奮踏實的大二/大三本科生。同時歡迎在24屆免研的同學報考我的研究生。
如果你對我們的實驗室感興趣，可以直接發郵件和我交流，也可以咨詢實驗室的組員進行深入了解。
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 Few-shot Learning
Knowledge Engineering
Large-scale Machine Learning
Probabilistic Graphical Models
Tensor Factorization
Adversarial Learning
Explainable Artificial Intelligence
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*（論文一作為實驗室成員徐浩卿） | |
|---|---|---|
| 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) | |
計算機研究與發展 2023 | 面向信息系統推薦與決策的高階張量分析方法，王貝倫，張嘉琦，蔡英豪，王兆陽，談笑，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)（論文一作為實驗室成員張嘉琦） | |
| 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* | |
| bet356手机版唯一官网出版社 | 《機器學習》，王貝倫，張雨哲，王萌，張敏靈等，2021 | |
Awards (Research or Teaching):
2022 2022年度江蘇省科學技術獎三等獎（排名1/7），江蘇省科學技術廳
2022 2022年國家級教學成果獎二等獎（排名4/15），教育部
2021 第十七屆挑戰杯“揭榜挂帥”專項賽“中國軟件”賽道特等獎，第一指導老師，共青團中央
2021 第十七屆挑戰杯“揭榜挂帥”專項賽“中國電信”賽道一等獎，第一指導老師，共青團中央
2022 2022年江蘇省普通高校本專科優秀畢業設計（論文）一等獎，指導老師，江蘇省教育廳
2020 2020年江蘇省普通高校本專科優秀畢業設計（論文）一等獎，指導老師，江蘇省教育廳
2021 江蘇省教學成果獎（高等教育類）一等獎（排名4/12），江蘇省教育廳
2022 第十七屆“挑戰杯”全國大學生課外學術科技作品競賽優秀指導教師，共青團中央
Group Member:
Adjunct Professors:
個人簡介：博士，江蘇南京人，bet356手机版唯一官网登录副教授，博士生導師，江蘇省優秀青年科學基金獲得者，bet356手机版唯一官网“至善青年學者”。
合作方向：機器學習硬件加速與雲計算架構
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 | 蘇州電信
Others:
Jingtian Zhang, Jiaying Zhou, Rui Ma, Xu Huang, Hongli Li, Liqiang Lu, Yuhang Ran, Shuwen Sun