X. Wu and J. Lu, 'Improved Convergence Rates of P-EXTRA for Non-smooth Distributed Optimization,' accepted to IEEE International Conference on Control & Automation (invited), Edinburgh, Scotland, 2019. (Best Student Paper Finalist)
Z. Qu, X. Wu, and J. Lu, 'Finite-Time-Consensus-Based Methods for Distributed Optimization,' accepted to Chinese Control Conference (invited), Guangzhou, China, 2019.
X. Wu and J. Lu, “Fenchel Dual Gradient Methods for Distributed Convex Optimization over Time-varying Networks”, accepted to IEEE Transactions on Automatic Control, 2019.
J. Lu and C. Y. Tang, “A Distributed Algorithm for Solving Positive Definite Linear Equations over Networks with Membership Dynamics”, IEEE Transactions on Control of Network Systems, vol. 5, no. 1, pp. 215–227, 2018.
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.
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.
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.