目录
硕士报考志愿采集    更新日期:2024年12月25日
姓 名 袁德明 性 别
出生年月 1985年10月 籍贯 扬州
民 族 汉族 政治面貌 群众
最后学历 博士研究生毕业 最后学位 工学博士
技术职称 教授 导师类别 博、硕导
导师类型 校内 兼职导师
行政职务 Email dmyuan1012@njust.edu.cn
工作单位 南京理工大学自动化学院 邮政编码 210094
通讯地址 南京理工大学自动化学院5091室
单位电话
个人主页 https://scholar.google.com.hk/citations?user=J-Ghvi8AAAAJ&hl=zh-CN&oi=ao
指导学科
学科专业(主) 0811|控制科学与工程 招生类别 博、硕士 所在学院 自动化学院
研究方向

1) 分布式优化与控制;

2) 分布式机器学习;

3) 多智能体系统协调控制

工作经历

※ 2018/03至今: 南京理工大学, 自动化学院, 教授

※ 2018/07-2018/12: 澳大利亚国立大学 (ANU), 奋进研究学者 (Endeavour Research Fellowship), 合作者: Prof. Guodong Shi

※ 2015/07-2015/08, 2014/07-2014/08, 2013/01-2013/02: 香港城市大学, Senior Research Associate, 合作者: Prof. Daniel Ho

※ 2015/05-2015/06, 中国科学院数学与系统科学研究院, 访问学者, 合作者: 洪奕光教授

※ 2012/07-2018/03, 南京邮电大学, 自动化学院, 讲师/副教授

※ 2010/09-2011/09, 美国犹他州立大学, 联合培养博士生, 合作导师: Prof. Wei Ren

教育经历

※ 2007/09-2012/06: 南京理工大学自动化学院, 工学博士, 导师: 徐胜元教授

※ 2003/09-2007/07: 南京理工大学自动化学院, 工学学士

 

获奖、荣誉称号

※ 2022年度中国自动化学会自然科学奖二等奖,排名第一

※ 2023年度中国自动化学会自然科学奖二等奖,排名第三

※ 2022年度江苏省自动化学会科学技术奖一等奖,排名第二

社会、学会及学术兼职
 
※ SCI期刊Transactions of the Institute of Measurement and Control编委 (Associate Editor), 2014年至今
 
※ 国内期刊《Fundamental Research》青年编委, 2024年至今
 
※ 国内期刊《Autonomous Intelligent Systems》青年编委,2023年至今
 
※ 中国控制会议 (CCC) 编委, 2018年至今

※ IEEE Senior Member

※ 中国自动化学会 (CAA) 高级会员

※ SIAM会员

※ 美国《数学评论》(Mathematical Reviews) 评论员

※ Journal of Machine Learning Research (JMLR), IEEE Transactions on Automatic Control、Automatica、IEEE Transactions on Signal Processing、IEEE Transactions on Control of Network Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, IEEE Control Systems Letters, IEEE Transactions on Signal and Information Processing over Networks, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Signal Processing Letters, IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Conference on Decision and Control (CDC), American Control Conference (ACC), NeurIPS 2021, ICLR2022 等国际知名SCI期刊和学术会议审稿人

 

科研项目

※ 国家自然科学基金面上项目,2024.01-2027.12,主持

※ 国家优秀青年科学基金项目,2021.01-2023.12,主持

※ 自主科研“杰青/优青”培育专项,2019.03-2022.02,主持

※ 江苏省优秀青年科学基金项目,2017.07-2020.06,主持

※ 江苏省第十四批“六大人才高峰”高层次人才项目,2017.09-2020.08,主持

※ 国家自然科学基金青年基金项目,2014.01-2016.12,主持

※ 江苏省自然科学基金青年基金项目,2013.07-2016.06,主持

※ 中国博士后科学基金第八批特别资助,2015.06-2017.05,主持

发表论文

 Monographs/Books:

[M1] Deming Yuan, Alexandre Proutiere, Guodong Shi (2024). Multi-agent Online Optimization. Foundations and Trends® in Optimization: Vol. 7: No. 2-3, pp 81-263. http://dx.doi.org/10.1561/2400000037 (now publishers - Multi-agent Online Optimization)

 

 Selected Journal Publications:

[J33] Lei Wang, Zihao Ren, Deming Yuan*, Guodong Shi. IEEE Transactions on Automatic Control, in press, 2024, DOI: 10.1109/TAC.2024.3488492

[J32] Mingcheng Dai, Daniel W. C. Ho, Baoyong Zhang, Deming Yuan, and Shengyuan Xu. Distributed online convex optimization with statistical privacy. IEEE Transactions on Neural Networks and Learning Systems, in press, 2024, DOI: 10.1109/TNNLS.2024.3492144

[J31] Deming Yuan, Lei Wang, Alexandre Proutiere, Guodong Shi. Distributed zeroth-order optimization: convergence rates that match centralized counterpart. Automatica, 159111328, 2024. (Regular Paper)

[J30] Wentao Zhang, Yang Shi, Baoyong Zhang, Deming Yuan, Shengyuan Xu. Dynamic regret of distributed online saddle point problem. IEEE Transactions on Automatic Control, 69(4): 2522-2529, 2024.

[J29] Cong Wang, Shengyuan Xu, Deming Yuan. Distributed online stochastic-constrained convex optimization with bandit feedback. IEEE Transactions on Cybernetics, 54(1): 63-75, 2024.

[J28] Deming Yuan, Baoyong Zhang, Shengyuan Xu, Huanyu Zhao. Distributed regularized online optimization using forward–backward splitting. Control Theory and Technology, 21: 212-221, 2023. 

[J27] Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang. Push-sum distributed dual averaging for convex optimization in multiagent systems with communication delays. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(3): 1420-1430, 2023.

[J26] Wentao Zhang, Yang Shi, Baoyong Zhang, Kaihong Lu, Deming YuanQuantized distributed online projection-free convex optimization. IEEE Control Systems Letters, 7: 1837-1842, 2023.

[J25] Zhan Yu, Daniel W. C. Ho, Deming Yuan, Jie Liu. Distributed stochastic constrained composite optimization over time-varying network with a class of communication noise. IEEE Transactions on Cybernetics, 53(6): 3561-3573, 2023.

[J24] Menghui Xiong, Baoyong Zhang, Daniel W. C. Ho, Deming Yuan, Shengyuan Xu. Event-triggered distributed stochastic mirror descent for convex optimization. IEEE Transactions on Neural Networks and Learning Systems, 34(9): 6480-6491, 2023.

[J23] Deming Yuan, Alexandre Proutiere, Guodong Shi. Distributed online optimization with long-term constraints. IEEE Transactions on Automatic Control, 67(3): 1089-1104, 2022. (Regular Paper)

[J22] Deming Yuan, Baoyong Zhang, Daniel W.C. Ho, Wei Xing Zheng, Shengyuan Xu. Distributed online bandit optimization under random quantization. Automatica, 146: 110590, 2022. 

[J21] Zhan Yu, Daniel W. C. Ho, Deming Yuan. Distributed randomized gradient-free mirror descent algorithm for constrained optimization. IEEE Transactions on Automatic Control, 67(2): 957-964, 2022.

[J20] Cong Wang, Shengyuan Xu, Deming Yuan, Baoyong Zhang, Zhengqiang Zhang. Push-sum distributed online optimization with bandit feedback. IEEE Transactions on Cybernetics, 52(4): 2263-2273, 2022.

[J19] Menghui Xiong, Baoyong Zhang, Deming Yuan, Shengyuan Xu. Distributed quantized mirror descent  for strongly convex optimization over time-varying directed graph. SCIENCE CHINA Information Sciences, 65: 202202, 2022. (Research Paper)

[J18] Deming Yuan, Abhishek Bhardwaj, Ian R. Petersen, Elizabeth Ratnam, Guodong Shi. Towards online optimization for power grids. ACM SIGENERGY Energy Informatics Review, 1(1), Nov. 2021. (inaugural issue)

[J17] Deming Yuan, Yiguang Hong, Daniel. W. C. Ho, Shengyuan Xu. Distributed mirror descent for online composite optimization. IEEE Transactions on Automatic Control, 66(2): 714-729, 2021. (Regular Paper)

[J16] Deming Yuan, Alexandre Proutiere, Guodong Shi. Distributed online linear regressions. IEEE Transactions on Information Theory, 67(1): 616-639, 2021. (Full Paper)

[J15] Deming Yuan, Daniel. W. C. Ho, Shengyuan Xu. Stochastic strongly-convex optimization via distributed epoch stochastic gradient algorithm. IEEE Transactions on Neural Networks and Learning Systems, 32(6): 2344-2357, 2021.

[J14] Ting Wang, Baoyong Zhang, Deming Yuan, Yijun Zhang. Event-based extended dissipative state estimation for memristor-based markovian neural networks with hybrid time-varying delays. IEEE Transactions on Circuits and Systems-I: Regular Systems, 68(11): 4520-4533, 2021.

[J13] Deming Yuan, Yiguang Hong, Daniel W. C. Ho, Guo-ping Jiang. Optimal distributed stochastic mirror descent for strongly convex optimization. Automatica, 90: 196-203, 2018.

[J12] Deming Yuan, Daniel W. C. Ho, Guo-ping Jiang. An adaptive primal-dual subgradient algorithm for online distributed constrained optimization. IEEE Transactions on Cybernetics, 48(11): 3045-3055, 2018.

[J11] Deming Yuan, Daniel W. C. Ho, Yiguang Hong. On convergence rate of distributed stochastic gradient algorithm for convex optimization with inequality constraints. SIAM Journal on Control and Optimization, 54(5): 2872-2892, 2016.

[J10] Deming Yuan, Daniel W. C. Ho, Shengyuan Xu. Zeroth-order method for distributed optimization with approximate projections. IEEE Transactions on Neural Networks and Learning Systems, 27(2): 284-294, 2016.

[J9] Deming Yuan, Daniel W. C. Ho, Shengyuan Xu. Regularized primal-dual subgradient method for distributed constrained optimization. IEEE Transactions on Cybernetics, 46(9): 2109-2118, 2016.

[J8] Deming Yuan, Daniel W. C. Ho. Randomized gradient-free method for multiagent optimization over time-varying networks. IEEE Transactions on Neural Networks and Learning Systems, 26(6): 1342-1347, 2015.

[J7] Deming Yuan, Shengyuan Xu, Junwei Lu. Gradient-free method for distributed multi-agent optimization via push‐sum algorithms. International Journal of Robust and Nonlinear Control, 25(10): 1569-1580, 2015.

[J6] Deming Yuan, Daniel W. C. Ho, Shengyuan Xu. Inexact dual averaging method for distributed multi-agent optimization. Systems & Control Letters, 71: 23-30, 2014.

[J5] Deming Yuan, Shengyuan Xu, Baoyong Zhang, Lina Rong. Distributed primal–dual stochastic subgradient algorithms for multi‐agent optimization under inequality constraints. International Journal of Robust and Nonlinear Control, 23(16): 1846-1868, 2013.

[J4] Deming Yuan, Shengyuan Xu, Huanyu Zhao, Lina Rong. Distributed dual averaging method for multi-agent optimization with quantized communication. Systems & Control Letters, 61(11): 1053-1061, 2012.

[J3] Huanyu Zhao, Wei Ren, Deming Yuan, Jie Chen. Distributed discrete-time coordinated tracking with Markovian switching topologies. Systems & Control Letters, 61(7): 766-772, 2012.

[J2] Deming Yuan, Shengyuan Xu, Huanyu Zhao. Distributed primal-dual subgradient method for multiagent optimization via consensus algorithms. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 41(6): 1715-1724, 2011.

[J1] Deming Yuan, Shengyuan Xu, Huanyu Zhao, Yuming Chu. Distributed average consensus via gossip algorithm with real-valued and quantized data for 0<q<1. Systems & Control Letters, 59(9): 536-542, 2010.

 

 Selected Conference Publications:

[C6] Zihao Ren, Lei Wang, Deming Yuan, Hongye Su, Guodong Shi. Spatio-temporal communication compression in distributed prime-dual flows. In CDC 2024, accepted for publication.

[C5] Zhipeng Tu, Xi Wang, Yiguang Hong, Lei Wang, Deming Yuan, Guodong Shi. Distributed online convex optimization with compressed communication.  In NeurIPS 2022, New Orleans, USA, 2022, pp. 34492-34504.

[C4] Mingcheng Dai, Deming Yuan, Baoyong Zhang. Differentially private distributed online linear regression over a time-varying network.  In Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control, Shenzhen,China, November 2022, pp. 752-763.

[C3] Deming Yuan, Daniel W. C. Ho, Yiguang Hong, Guoping Jiang. Online bandit convex optimization over a network.  In 2016 35th Chinese Control Conference (CCC), Chengdu, China, July 2016, pp. 8090-8095.

[C2] Deming Yuan. Gossip-based gradient-free method for multi-agent optimization: constant step size analysis.  In 2014 33rd Chinese Control Conference (CCC), Nanjing, China, July 2014, pp. 1349-1353.

[C1] Huanyu Zhao, Wei Ren, Shengyuan Xu, Deming Yuan. Distributed discrete-time coordinated tracking for networked single-integrator agents under a Markovian switching topology.  In Proceedings of the 2011 American Control Conference, San Francisco, CA, USA, August 2011, pp. 1624-1629.

教学活动

※ 本科生课程

数字信号处理,2020年秋季 — 2024秋季

控制系统计算机仿真及辅助设计,2019年秋季

 

※ 研究生课程

Introduction to Optimal Control (留学生),2019年秋季

 

指导学生情况

※ 每年招收博士研究生1名、硕士研究生2-4名,欢迎对分布式优化、多智能体系统、机器学习感兴趣的同学联系报考!

我的团队

所在团队荣誉

※ 第二批全国高校黄大年式教师团队,2022