1. Linli Zhang, Dewei Li, Shuai Jia, Haibin Shao. Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments. IEEE Transactions on Neural Networks and Learning Systems, 2022. (To appear）
3. Lulu Pan, Haibin Shao*, Mehran Mesbahi, Dewei Li, Yugeng Xi. Cluster consensus on matrix-weighted switching networks. Automatica, 2022. (To appear）
4. Xiaoxing Ren, Dewei Li, Yugeng Xi, and Haibin Shao. An accelerated distributed gradient method with local memory. Automatica, 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. (Early Access, DOI: 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.
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
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
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.
