王贝伦

时间:2024-02-20浏览:21036

在线课程机器学习课程头像

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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/大三学年上学期联系我

  • 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)联系我

Short Bio:

I am an associate professor in School of Computer Science and Engineering, Southeast 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 Mathematics, Nanjing University, Nanjing in June of 2013.


🔗 Home Page 实验室主页 | 本科招新 | 硕士研究生招新

Research Interests:

Transfer Few-shot Learning

Large-scale Machine Learning

Probabilistic Graphical Models

Tensor Factorization

Adversarial Learning

Explainable Artificial Intelligence

Group Member:

Ajunct 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

    1. Tan X, Shen Y, Wang M, et al. Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data[C]//Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. 2023: 2382-2391.

    2. 王贝伦,张嘉琦,蔡英豪,王兆阳,谈笑,沈典. 面向信息系统推荐与决策的高阶张量分析方法. 计算机研究与发展. 2023

    3. Xiao Tan, Meng Wang, Dian Shen, Weitong Chen, and Beilun Wang. Large Covariance Estimation from Streaming Data with Knowledge-based Sketch Matrix. 29th International Conference on Database Systems for Advanced Applications.

    4. Xiao Tan, Yangyang Shen, Yiqin Wang, Yan Zhang, Dian Shen, Meng Wang, and Beilun Wang. FasMe: Fast and Sample-efficient Meta Estimator for Few-shot Precision Matrix Learning.

    5. 第十八届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛 国家级一等奖 | 詹滢 沈洋洋 ⻩开鸿 杨骏焘 杨延欣 张伊扬 汪子杰 谈笑 王奕淞 朱诗琳  | 指导老师:沈典 张雨哲 曹海燕

        Kaihong Huang  Undergraduate & Master

    1. Cascade and Fusion: A Deep Learning Approach for Camouflaged Object Sensing KaihongHuang, ChunshuLi, JiaqiZhang, BeilunWang 已发表期刊 Sensors

    2. A High-throughput and Unified Accelerator for Multi-Mode Nonparametric Statistics Kaihong Huang, Dian Shen, Zhaoyang Wang, Juntao Yang and Beilun Wang 在投会议 DAC

    3. Natural products discovery in diverse microorganisms through a two-stage MS feature dereplication strategy Zhang, Ran; Wang, Beilun; Huang, Kaihong; Li, Zhaoguo; Yang, Jinling; Kuang, Jingyu; 在投期刊 Journal of the American Chemical Society

    4. 第十八届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛 国家级一等奖 | 詹滢 沈洋洋 ⻩开鸿 杨骏焘 杨延欣 张伊扬 汪子杰 谈笑 王奕淞 朱诗琳  | 指导老师:沈典 张雨哲 曹海燕

    5. 第十六届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛 国家级一等奖 |  任栗晗 李明洋 李春澍 旷菁宇 黄开鸿 刘幽远 朱嘉梁 李心玥 孙雨佳 | 指导老师:王贝伦 张敏灵

    6. 第十四届大学生计算机设计大赛 国家级三等奖

        Yan Zhang  Undergraduate & Master

    1. Yan Zhang, Cheng Chen, Dian Shen, Meng Wang, Beilun Wang*. Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module[C]//IEEE International Conference on Data Mining(ICDM), 2023.

Master

    Year 2017:
        Yueyao Chen  Undergraduate & Master

    1. Chen Y, Wang B, Ma T, et al. Applying Robust Gradient Difference Compression to Federated Learning[C]//2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2023: 1748-1753.

    2. Chen Y, Wang B, Zhang Y, et al. A Robust Framework for Fixing The Vulnerability of Compressed Distributed Learning[C]//2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2023: 733-738.

        Jingyu Kuang  Undergraduate & Master

    Year 2018:
        Haoqing Xu  Undergraduate & Master

    1. Xu H, Wang M, Wang B. A Difference Standardization Method for Mutual Transfer Learning[C]//International Conference on Machine Learning. PMLR, 2022: 24683-24697.

    2. Wang B, Xu H, Li C, et al. TKGAT: Graph attention network for knowledge-enhanced tag-aware recommendation system[J]. Knowledge-Based Systems, 2022, 257: 109903.

    3. Adaptive Group Personalization for Federated Mutual Transfer Learning. Haoqing Xu, Dian Shen, Meng Wang, Beilun Wang. ICML2024.

        Lihan Ren  Undergraduate & Master

    1. 第十七届“挑战杯”揭榜挂帅“中国电信”赛道 国家一等奖 | 任栗晗 李明洋 李春澍 旷菁宇 黄开鸿 刘幽远 朱嘉梁 李心玥 孙雨佳 | 指导老师:王贝伦 张敏灵

        Zhengxuan Lu  Undergraduate & Master

    1. Wang, B., Ma, T., Lu, Z., & Xu, H. (2022). An End-to-End Mutually Interactive Emotion–Cause Pair Extractor via Soft Sharing. Applied Sciences, 12(18), 8998.

    Year 2019:
        Tianyi Ma  Undergraduate & Master

    1. Wang, Beilun, et al. An End-to-End Mutually Interactive Emotion–Cause Pair Extractor via Soft Sharing. Applied Sciences 12.18 (2022): 8998.

    2. 第十七届“挑战杯全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛 特等奖 | 陈诚、徐丹颖、李雨辰、马添毅、苏彤彤、李流蔚 | 指导老师:王贝伦、王萌

        Jiayi Wu  Undergraduate & Master

        Shilin Zhu  Undergraduate & Master

    1. 第十八届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛 国家级一等奖 | 詹滢 沈洋洋 ⻩开鸿 杨骏焘 杨延欣 张伊扬 汪子杰 谈笑 王奕淞 朱诗琳  | 指导老师:沈典 张雨哲 曹海燕

        Zhaoyang Wang  Undergraduate & Master

    1. Large Covariance Estimation from Streaming Data with Knowledge-based Sketch Matrix 谈笑,王兆阳,王萌,沈典,weitong.chen,王贝伦 Dasfaa_2024(在投)

    2. Hynify: A High-throughput and Unified Accelerator for Multi-Mode Nonparametric Statistics 黄开鸿,沈典,王兆阳,杨骏焘,王贝伦 DAC 2024(在投)

        Yangyang Shen  Undergraduate & Master

    1. Tan X, Shen Y, Wang M, et al. Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data[C]//Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. 2023: 2382-2391. 

    2. Non-Clean Seed Backdoor Defense: Achieving Clean Data-Free Security. Yangyang Shen, Xiao Tan, Dian Shen, Meng Wang, Beilun Wang, ICML(在投)

    3. Exploiting Biochemical Data to Improve Osteosarcoma Diagnosis with Deep Learning Shidong Wang, Yangyang Shen, Fanwei Zeng, Meng Wang, Bohan Li, Dian Shen2, Xiaodong Tang, Beilun Wang, HISC (在投)

    4. 第十八届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛 国家级一等奖 | 詹滢 沈洋洋 ⻩开鸿 杨骏焘 杨延欣 张伊扬 汪子杰 谈笑 王奕淞 朱诗琳  | 指导老师:沈典 张雨哲 曹海燕  

Undergraduate

    Year 2020:

        Peijun Lin  Undergraduate

    1. Automatic Identification and Virtual Directed Evolution of Bioactive Peptides with Explainable Deep Learning+待定+Nature Biotechnology(在投)

        Yuzhang Wu  Undergraduate

    1. Wu Y, Wang B. A Framework Using Absolute Compression Hard-Threshold for Improving The Robustness of Federated Learning Model[C]//2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2023: 1106-1111.

        JunTao Yang  Undergraduate

    1. 第十八届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛 国家级一等奖 | 詹滢 沈洋洋 ⻩开鸿 杨骏焘 杨延欣 张伊扬 汪子杰 谈笑 王奕淞 朱诗琳  | 指导老师:沈典 张雨哲 曹海燕

        Wenhao Chen  Undergraduate

        Xiangyu Guan  Undergraduate

        Nianzong Guo  Undergraduate

    1. 东南大学本科生2022年高等数学竞赛 校级三等奖 郭念宗

    Year 2021:

        Yutian Shi  Undergraduate

    1. A Privacy-Preserving Method for Sequential Recommendation in Vertical Federated Learning+施喻甜;王贝伦+cscwd(在投)

    2. A Knowledge-Augmented Vertical Sequential Recommendation for Cross-Domain Knowledge+王贝伦;施喻甜;待定+KBS(在投)

    3. 专利:一种基于图神经网络的抗肿瘤分子强化方法 施喻甜,王贝伦,金桥,王玟雯

        Ying Zhan  Undergraduate

    1. Y. Zhan and B. Wang, Collaborative Estimating Multiple Gaussian Graphical Models on Resource Constrained Devices in IoT Networks, 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, 2023, pp. 3583-3588, doi: 10.1109/SMC53992.2023.10394594.

    2. 第十八届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛 国家级一等奖 | 詹滢 沈洋洋 ⻩开鸿 杨骏焘 杨延欣 张伊扬 汪子杰 谈笑 王奕淞 朱诗琳  | 指导老师:沈典 张雨哲 曹海燕  

    3. 专利:一种基于对抗攻击的药物分子重要节点预测方法 詹滢,王贝伦,马浩轩,胡丹婷

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

    1. Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang\*.Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables[C]. Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020. (CCF A 类,第一作者)

        Cheng Chen  Undergraduate & Master | 苏州电信

    1. 完成作品《基于飞腾 Phytium 芯片和麒麟 Kylin 操作系统的时序数据运维分析软件》,在第十七届“挑战杯”全国大学生课外学术科技作品竞赛“揭榜挂帅”专项赛中荣获特等奖(王贝伦老师为第一指导教师)(成员:徐丹颖、李雨辰、马添毅、苏彤彤、李沅蔚)

    Others:

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

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.

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

Selected Publication:

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