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Publications

Preprints

1. Xin Chen, Yujie Tang and Na Li. “Improve single-point zeroth-order optimization using high-pass and low-pass filters.” [arXiv]
2. Yang Zheng, Yujie Tang and Na Li. “Analysis of the optimization landscape of linear quadratic Gaussian control,” submitted to Mathematical Programming, under review. [arXiv]
3. Xin Chen, Guanna Qu, Yujie Tang, Steven Low and Na Li. “Reinforcement learning for decision-making and control in power systems: Tutorial, review, and vision,” submitted to IEEE Transactions on Smart Grid, under review. [arXiv]
4. Yujie Tang, Zhaolin Ren and Na Li. “Zeroth-order feedback optimization for cooperative multi-agent systems,” submitted to Automatica, under review. [arXiv]
5. Yujie Tang, Emiliano Dall’Anese, Andrey Bernstein and Steven Low. “Running primal-dual gradient method for time-varying nonconvex problems,” submitted to SIAM Journal on Control and Optimization, under review. [arXiv]

Journal Articles

1. Yujie Tang, Vikram Ramanathan, Junshan Zhang and Na Li. “Communication-efficient distributed SGD with compressed sensing,” accepted by IEEE Control Systems Letters. [full paper]
2. Yingying Li, Yujie Tang, Runyu Zhang and Na Li. “Distributed reinforcement learning for decentralized linear quadratic control: A derivative-free policy optimization approach,” IEEE Transactions on Automatic Control. [arXiv]
3. Yujie Tang, Junshan Zhang and Na Li. “Distributed zero-order algorithms for nonconvex multi-agent optimization,” IEEE Transactions on Control of Network Systems, vol. 8, no. 1, pp. 269–281, Mar. 2021. [arXiv]
4. Yujie Tang, Guannan Qu and Na Li. “Semi-global exponential stability of primal-dual gradient dynamics for constrained convex optimization,” Systems & Control Letters, vol. 144, Oct. 2020. [arXiv]
5. Yujie Tang, Krishnamurthy Dvijotham and Steven Low. “Real-time optimal power flow,” IEEE Transactions on Smart Grid, vol. 8, no. 6, pp. 2963–2973, Nov. 2017.
6. Yujie Tang and Steven H. Low. “Optimal placement of energy storage in distribution networks,” IEEE Transactions on Smart Grid, vol. 8, no. 6, pp. 3094–3103, Nov. 2017.
7. Qiuyu Peng, Yujie Tang and Steven Low. “Feeder reconfiguration in distribution networks based on convex relaxation of OPF,” IEEE Transactions on Power Systems, vol. 30, no. 4, pp. 1793–1804, Jul. 2015.
8. Yujie Tang, Laming Chen and Yuantao Gu. “On the performance bound of sparse estimation with sensing matrix perturbation,” IEEE Transactions on Signal Processing, vol. 61, no. 17, pp. 4372–4386, Sep. 2013.

 

Conference Papers

1. Tianpeng Zhang, Victor Qin, Yujie Tang and Na Li. “Source seeking by dynamic source location estimation,” in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
2. Yujie Yang, Yang Zheng and Na Li. “Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control,” in Proceedings of the 3rd Conference on Learning for Dynamics and Control, pp. 599–610, Jun. 2021.
3. Yujie Tang, Zhaolin Ren and Na Li. “Zeroth-order feedback optimization for cooperative multi-agent systems,” in Proceedings of the 59th IEEE Conference on Decision and Control, pp. 3649–3656, Dec. 2020.
4. Yujie Tang and Steven Low. “A second-order saddle point method for time-varying optimization,” in Proceedings of the 58th IEEE Conference on Decision and Control, pp. 3928–3935, Dec. 2019.
5. Yujie Tang and Na Li. “Distributed zero-order algorithms for nonconvex multi-agent optimization,” in Proceedings of the 57th Annual Allerton Conference on Communication, Control, and Computing, pp. 781–786, Sep. 2019.
6. Yujie Tang, Emiliano Dall’Anese, Andrey Bernstein and Steven H. Low. “A feedback-based regularized primal-dual gradient method for time-varying nonconvex optimization,” in Proceedings of the 57th IEEE Conference on Decision and Control, pp. 3244–3250, Dec. 2018.
7. Yujie Tang and Steven Low. “Distributed algorithm for time-varying optimal power flow,” in Proceedings of the 56th IEEE Conference on Decision and Control, pp. 3264–3270, Dec. 2017.
8. Yujie Tang and Steven H. Low. “Optimal placement of energy storage in distribution networks,” in Proceedings of the 55th IEEE Conference on Decision and Control, pp. 3258–3264, Dec. 2016.