邵海滨

职称:助理研究员

邮箱:shore@sjtu.edu.cn

地址:电院群楼2-309

研究方向

群体智能机理及其应用、多自主体系统、分布式学习与优化、城市交通系统

科研成果

1. Linli Zhang, Dewei Li, Shuai Jia, Haibin Shao. Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying EnvironmentsIEEE Transactions on Neural Networks and Learning Systems, 2022, 33(5):2168-2180.

2. Chongzhi Wang, Lulu Pan, Haibin Shao*, Dewei Li*, Yugeng Xi. Characterizing bipartite consensus on signed matrix-weighted networks via balancing set. Automatica, 2022. (https://doi.org/10.1016/j.automatica.2022.110237)

3. Lulu Pan, Haibin Shao*, Mehran Mesbahi, Dewei Li, Yugeng Xi. Cluster consensus on matrix-weighted switching networksAutomatica, 2022. (https://doi.org/10.1016/j.automatica.2022.110308)

4. Xiaoxing Ren, Dewei Li, Yugeng Xi, and Haibin ShaoAn accelerated distributed gradient method with local memoryAutomatica, 2022. (To appear)

5. Haibin Shao, Lulu Pan, Dewei Li, Yugeng Xi. On Stability and Consensus of Signed Networks: A Self-loop Compensation Perspective. arXiv preprint arXiv:2109.12555.

6. Haibin Shao, Lulu Pan, Mehran Mesbahi, Yugeng Xi, Dewei Li. Distributed neighbor selection in multi-agent Networks. arXiv preprint arXiv:2107.12022. 

7. Xiaoxing Ren, Dewei Li, Yugeng Xi, and Haibin Shao. Distributed global optimization for a class of nonconvex optimization with coupled constraints. IEEE Transactions on Automatic Control, 2021. (https://doi.org/10.1109/TAC.2021.3115430)

8. Lulu Pan, Haibin Shao*, Mehran Mesbahi, Yugeng Xi and Dewei Li. Consensus on matrix-weighted switching networks. IEEE Transactions on Automatic Control, 2021, 66(12):5990-5996. 
9. Lulu Pan, Haibin Shao*, Mehran Mesbahi, Yugeng Xi and Dewei Li. On the controllability of matrix-weighted networks. IEEE System Control Letter, 2020, 3(4):572-577.
10. Haibin Shao, Lulu Pan, Mehran Mesbahi, Yugeng Xi and Dewei Li. Relative tempo of distributed averaging on networks. Automatica, 2019, 105:159-166.
11. Lulu Pan, Haibin Shao, Mehran Mesbahi, Yugeng Xi and Dewei Li. Bipartite consensus on matrix-valued weighted networks. IEEE Transactions on Circuits and Systems II: Express Briefs, 2018, 66(8):1441-1445.

12. Haibin Shao, Merhan Mesbahi, Dewei Li, and Yugeng Xi. Inferring centrality from network snapshots. Scientific Reports, 2017, 7(1):1-13.


Google scholar

研究项目

1. 上海市自然科学基金(探索类项目),基于类脑学习机理的决策网络及算法研究,2019-06至2022-06, 主持
2. 国家重点研发计划项目,工业机器人中间件关键技术及应用平台研发,2019-01至2021-12,子课题负责人
3. 国家自然科学基金(重点项目),网络化系统分布式实时优化决策理论及应用,2019-01至2023-12,参与
4. 中国博士后科学基金(面上项目),多智能体系统协同的相对节奏及其应用,2018-05至2019-05,主持

教授课程

2022年秋季学期,《数字信号处理技术及应用》,本科生课程

2021年秋季学期,《数字信号处理技术及应用》,本科生课程

2020年秋季学期,《数字信号处理技术及应用》,本科生课程

招生信息

如果您对我的研究方向感兴趣,欢迎联系讨论与咨询!(邮箱:shore [at] sjtu [dot] edu [dot] cn
1. 博士后:招收多自主体系统和分布式学习与优化方向博士后2人.
2. 博士生、硕士生:招收2023年博士生和硕士生.
3. 本科生:欢迎对研究方向感兴趣的同学加入课题组进行科研、竞赛等活动.
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