Beilun Wang
Associate Professor, Ph.D. Supervisor
Affiliation: School of Computer Science and Engineering, Southeast University, Nanjing, China
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 2026 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.
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
LLM for RAG/Biology
Causal Graph Learning
Large-Scale Machine Learning
Hardware Acceleration
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 2025 | Bi-perspective Splitting Defense: Achieving Clean-Data-Free Backdoor Security, Yangyang Shen, Xiao Tan, Dian Shen, Meng Wang, Beilun Wang | |
|---|---|---|
| WWW 2025 | NoTeNet: Normalized Mutual Information-driven Tuning-free Dynamic Dependence Network Inference Method for Multimodal Data, Xiao Tan, Yangyang Shen, Yan Zhang, Jingwen Shao, Dian Shen, Meng Wang, Beilun Wang | |
| Nature Microbiology 2025 | Explainable deep learning and virtual evolution identifies antimicrobialpeptides with activity against multidrug-resistant human pathogens, Beilun Wang, Peijun Lin, Yuwei Zhong, Xiao Tan, Yangyang Shen, Yi Huang, Kai Jin, Yan Zhang, Ying Zhan, Dian Shen, Meng Wang, Zhou Yu, Yihan Wu | |
| 计算机研究与发展 2024 | 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 | |
| NeurlPS 2024 | FasMe: Fast and Sample-efficient Meta Estimator forPrecision Matrix Learning in Small Sample SettingsAdaptive Group Personalization for Federated Mutual Transfer Learning, Xiao Tan, Yigin Wang, Yangyang Shen, Dian Shen, MengWang, Peibo Duan, Beilun Wang | |
| DASFAA 2024 | Large Covariance Estimation from StreamingData with Knowledge-based Sketch Matrix, Xiao Tan, Zhaoyang Wang, Meng Wang, Dian Shen, Weitong Chen, Beilun Wang | |
| DAC 2024 | Hynify: A High-throughput and Unified Accelerator for Multi-Mode Nonparametric Statistics, Kaihong Huang, Dian Shen, Zhaoyang Wang, Juntao Yang, Beilun Wang | |
| ICML 2024 | Adaptive Group Personalization for Federated Mutual Transfer Learning, Haoqing Xu, Dian Shen, Meng Wang, Beilun Wang* | |
| Machine Learning 2024 | Sparse and Smooth Additive Isotonic Model in High-Dimensional Settings, Jiaqi Zhang, Yiqin Wang, Meng Wang, Beilun Wang* | |
| Health Information Science and Systems 2024 | Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning, Shidong Wang, Yangyang Shen, Fanwei Zeng, Meng Wang, Bohan Li, Dian Shen, Xiaodong Tang, Beilun Wang | |
| CIKM 2024 | Factor Model-Based Large Covariance Estimation from StreamingData Using a Knowledge-Based Sketch Matrix, Xiao Tan, Zhaoyang Wang, Hao Qian, Jun Zhou, Peibo Duan, Dian Shen, Meng Wang, Beilun Wang | |
| ICML 2022 | A difference standardization method for mutual transfer learning, Haoqing Xu, Meng Wang, Beilun Wang* | |
| 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) | |
| 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* | |
| 必威betway中文官网出版社 | 《机器学习》，王贝伦，张雨哲，王萌，张敏灵等，2021 | |
Group Member
Adjunct Professors
Dian Shen (seu.edu.cn)
An Associate Professor and Ph.D. supervisor at the School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, China. He received his Ph.D. degree in [relevant field, optional to specify] and has been recognized as a recipient of the National Natural Science Foundation of China (NSFC) Youth Program (Category B) and the Jiangsu Provincial Excellent Young Scientists Fund. He has also been honored as a “Zhishan Young Scholar” by Southeast University.
Current Students
Doctor
Year 2018
Xiao Tan Undergraduate & Master
Kaihong Huang Undergraduate & Master
Yan Zhang Undergraduate & Master
Zhengxuan Lu Undergraduate & Master
Master
Year 2018
Haoqing Xu Undergraduate & Master
Lihan Ren Undergraduate & Master
Year 2019
Jiayi Wu Undergraduate & Master
Shilin Zhu Undergraduate & Master
Zhaoyang Wang Undergraduate & Master
Yangyang Shen Undergraduate & Master
Year 2020
Yuzhang Wu Undergraduate & Master
JunTao Yang Undergraduate & Master
Wenhao Chen Undergraduate & Master
Xiangyu Guan Undergraduate & Master
Nianzong Guo Undergraduate & Master
Undergraduate
Year 2021
Yutian Shi Undergraduate | Doctor in 2025
Ying Zhan Undergraduate | Doctor in 2025
Yanting Tan Undergraduate | Master in 2025
Binghui Xu Undergraduate | Master in 2025
Wei Chen Undergraduate | Master in 2025
Past Students
Year 2018
Haoqin Xu Undergraduate & Master | 华为苏州研究院
Lihan Ren Undergraduate & Master | 中国邮政储蓄银行软件研发中心
Year 2017
Jinyu Kuang Undergraduate & Master | 腾讯IEG
Yueyao Chen Undergraduate & Master | 东方电气
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
