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ORCIDYujie Tang 0002
Person information
- affiliation: Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
- affiliation (PhD 2019): California Institute of Technology, Pasadena, CA, USA
- affiliation (former): Tsinghua University, Beijing, China
Other persons with the same name
- Yujie Tang — disambiguation page
- Yujie Tang 0001
![[0000-0002-9086-7948]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9086-7948")
— Algoma University, Department of Computer Science and Mathematics, ON, Canada (and 1 more) - Yujie Tang 0003 — Xi'an Jiaotong University, State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, China (and 1 more)
- Yujie Tang 0004 — Delft University of Technology, Department of Cognitive Robotics, Netherlands (and 1 more)
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2020 – today
- 2024
[j13]Yize Li, Chao Lu, Yujie Tang, Chen Fang, Yong Cui:
Dynamic Control and Time-Delayed Channel Scheduling Co-Design for Voltage Control in Active Distribution Networks. IEEE Trans. Smart Grid 15(2): 1837-1848 (2024)- 2023
- [j12]Yujie Tang, Yang Zheng, Na Li:
Analysis of the optimization landscape of Linear Quadratic Gaussian (LQG) control. Math. Program. 202(1): 399-444 (2023) - [j11]Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li:
Distributed Information-Based Source Seeking. IEEE Trans. Robotics 39(6): 4749-4767 (2023) - 2022
- [j10]Yujie Tang, Vikram Ramanathan, Junshan Zhang, Na Li:
Communication-Efficient Distributed SGD With Compressed Sensing. IEEE Control. Syst. Lett. 6: 2054-2059 (2022) - [j9]Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low:
Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems. SIAM J. Control. Optim. 60(4): 1970-1990 (2022) - [j8]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. IEEE Trans. Autom. Control. 67(12): 6429-6444 (2022) - [j7]Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li:
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges. IEEE Trans. Smart Grid 13(4): 2935-2958 (2022) - [c11]Xin Chen, Yujie Tang, Na Li:
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. ICML 2022: 3603-3620 - [i8]Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li:
Distributed Information-based Source Seeking. CoRR abs/2209.09421 (2022) - 2021
- [j6]Yujie Tang, Junshan Zhang, Na Li:
Distributed Zero-Order Algorithms for Nonconvex Multiagent Optimization. IEEE Trans. Control. Netw. Syst. 8(1): 269-281 (2021) - [c10]Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li:
Source Seeking by Dynamic Source Location Estimation. IROS 2021: 2598-2605 - [c9]Yujie Tang, Yang Zheng, Na Li:
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. L4DC 2021: 599-610 - [i7]Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li:
Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision. CoRR abs/2102.01168 (2021) - [i6]Yang Zheng, Yujie Tang, Na Li:
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. CoRR abs/2102.04393 (2021) - [i5]Xin Chen, Yujie Tang, Na Li:
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. CoRR abs/2111.01701 (2021) - [i4]Yujie Tang, Vikram Ramanathan, Junshan Zhang, Na Li:
Communication-Efficient Distributed SGD with Compressed Sensing. CoRR abs/2112.07836 (2021) - 2020
- [j5]Yujie Tang, Guannan Qu, Na Li:
Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization. Syst. Control. Lett. 144: 104754 (2020) - [c8]Yujie Tang, Zhaolin Ren, Na Li:
Zeroth-order Feedback Optimization for Cooperative Multi-Agent Systems. CDC 2020: 3649-3656 - [c7]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. L4DC 2020: 814 - [i3]Yujie Tang, Zhaolin Ren, Na Li:
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems. CoRR abs/2011.09728 (2020)
2010 – 2019
- 2019
- [c6]Yujie Tang, Na Li:
Distributed Zero-Order Algorithms for Nonconvex Multi-Agent optimization. Allerton 2019: 781-786 - [c5]Yujie Tang, Steven H. Low:
A Second-Order Saddle Point Method for Time-Varying Optimization. CDC 2019: 3928-3935 - [i2]Yujie Tang, Guannan Qu, Na Li:
Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization. CoRR abs/1903.09580 (2019) - [i1]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. CoRR abs/1912.09135 (2019) - 2018
- [j4]Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low:
A Primal-Dual Gradient Method for Time-Varying Optimization with Application to Power Systems. SIGMETRICS Perform. Evaluation Rev. 46(3): 92 (2018) - [c4]Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low:
A Feedback-Based Regularized Primal-Dual Gradient Method for Time-Varying Nonconvex Optimization. CDC 2018: 3244-3250 - 2017
- [j3]Yujie Tang, Krishnamurthy Dvijotham, Steven H. Low:
Real-Time Optimal Power Flow. IEEE Trans. Smart Grid 8(6): 2963-2973 (2017) - [j2]Yujie Tang, Steven H. Low:
Optimal Placement of Energy Storage in Distribution Networks. IEEE Trans. Smart Grid 8(6): 3094-3103 (2017) - [c3]Yujie Tang, Steven H. Low:
Distributed algorithm for time-varying optimal power flow. CDC 2017: 3264-3270 - [c2]Yujie Tang, Krishnamurthy Dvijotham, Steven H. Low:
Real-time OPF based on quasi-Newton methods. CISS 2017: 1 - 2016
- [c1]Yujie Tang, Steven H. Low:
Optimal placement of energy storage in distribution networks. CDC 2016: 3258-3264 - 2013
- [j1]Yujie Tang, Laming Chen, Yuantao Gu:
On the Performance Bound of Sparse Estimation With Sensing Matrix Perturbation. IEEE Trans. Signal Process. 61(17): 4372-4386 (2013)
Coauthor Index
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