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.
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26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。
如果你是本校計劃讀博的碩士研究生，那麼你可以聯系我，并通過2025年補充選拔錄取全日制博士研究生項目參與招生選拔 相關工作通知
如果你是本校本科生，想在本科階段參與實驗室學習，那麼你可以在大一升大二的暑假 申請
如果你是本校準備推免的學生，那麼你可以在大二升大三暑假/大三學年上學期 申請
如果你是外校準備推免的學生，那麼你可以在大三下學期（5月份左右）申請
, , 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 ,
LLM for RAG/Biology
Causal Graph Learning
Large-Scale Machine Learning
Hardware Acceleration
Applications (biological, cyber security, etc.)
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.
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 | |
| 計算機研究與發展 2024 | 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 | |
| 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) | |
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) | |
| 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 | |
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
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
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 | 華為蘇州研究院
Lihan Ren Undergraduate & Master | 中國郵政儲蓄銀行軟件研發中心
Year 2017
Jinyu Kuang Undergraduate & Master | 騰訊IEG
Yueyao Chen Undergraduate & Master | 東方電氣
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
