陆疌
副教授、研究员、博导
博士毕业院校:美国俄克拉荷马大学
电话:(021) 20685398
办公室:信息学院1D-201B室
招聘主页:
研究领域
个人简历
代表性论文

研究领域

  • 分布式及大规模优化算法

  • 多智能体决策与控制

  • 优化、控制与学习的应用


个人简历

陆疌,信息学院副教授。

陆疌于2007年本科毕业于上海交通大学信息工程系,并于2011年获得美国俄克拉荷马大学电子与计算机工程博士学位。2012年至2015年,她在瑞典皇家理工学院ACCESS Linnaeus Centre与Chalmers理工大学信号与系统系担任博士后研究员。陆疌于2015年加入上海科技大学信息科学与技术学院任助理教授、研究员。她的研究兴趣为分布式及大规模优化算法,多智能体决策与控制,以及优化、控制与学习的应用。


代表性论文

  1. X. Wu, Z. Qu, and J. Lu, “A Second-Order Proximal Algorithm for Consensus Optimization,” IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1864–1871, 2021.

  2. H. Wei, Z. Qu, X. Wu, H. Wang, and J. Lu, “Decentralized Approximate Newton Methods for In-Network Optimization,” IEEE Transactions on Control of Network Systems, 2021.

  3. X. Wu and J. Lu, Fenchel Dual Gradient Methods for Distributed Convex Optimization over Time-varying Networks, IEEE Transactions on Automatic Control, vol. 64, no. 11, pp. 4629–4636, 2019. 

  4. X. Wu and J. Lu, “Improved Convergence Rates of P-EXTRA for Non-smooth Distributed Optimization, Proc. IEEE International Conference on Control and Automation, pp. 55–60, Edinburgh, Scotland, 2019. (Best Student Paper Finalist) 

  5. X. Wu, K. C. Sou, and J. Lu, Fenchel Dual Gradient Methods Enabling a Smoothing Technique for Nonsmooth Distributed Convex Optimization, Proc. IEEE Conference on Decision and Control, pp. 1757–1762, Miami, FL, 2018. 

  6. T. Yang, J. Lu, D. Wu, J. Wu, G. Shi, Z. Meng, and K. H. Johansson, A Distributed Algorithm for Economic Dispatch over Time-Varying Directed Networks with Delays, IEEE Transactions on Industrial Electronics, vol. 64, no. 6, pp. 5095-5106, 2017.

  7. J. Lu and M. Johansson, Convergence Analysis of Approximate Primal Solutions in Dual First-Order Methods, SIAM Journal on Optimization, vol. 26, no. 4, pp. 2430-2467, 2016.

  8. J. Lu and C. Y. Tang, Zero-Gradient-Sum Algorithms for Distributed Convex Optimization: The Continuous-Time Case, IEEE Transactions on Automatic Control, vol. 57, no. 9, pp. 2348–2354, 2012.