Reverse and forward engineering of local voltage control in distribution networks X Zhou, M Farivar, Z Liu, L Chen, SH Low IEEE Transactions on Automatic Control 66 (3), 1116-1128, 2020 | 91 | 2020 |
Gradient-based multi-area distribution system state estimation X Zhou, Z Liu, Y Guo, C Zhao, J Huang, L Chen IEEE Transactions on Smart Grid 11 (6), 5325-5338, 2020 | 63 | 2020 |
Accelerated voltage regulation in multi-phase distribution networks based on hierarchical distributed algorithm X Zhou, Z Liu, C Zhao, L Chen IEEE Transactions on Power Systems 35 (3), 2047-2058, 2019 | 48 | 2019 |
A koopman operator approach for computing and balancing gramians for discrete time nonlinear systems E Yeung, Z Liu, NO Hodas 2018 Annual American Control Conference (ACC), 337-344, 2018 | 41 | 2018 |
A nonconvex relaxation approach for rank minimization problems X Zhong, L Xu, Y Li, Z Liu, E Chen Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 35 | 2015 |
Hierarchical distributed voltage regulation in networked autonomous grids X Zhou, Z Liu, W Wang, C Zhao, F Ding, L Chen 2019 American Control Conference (ACC), 5563-5569, 2019 | 21 | 2019 |
Decomposition of nonlinear dynamical systems using koopman gramians Z Liu, S Kundu, L Chen, E Yeung 2018 Annual American Control Conference (ACC), 4811-4818, 2018 | 21 | 2018 |
Incentivized exploration for multi-armed bandits under reward drift Z Liu, H Wang, F Shen, K Liu, L Chen Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4981-4988, 2020 | 12 | 2020 |
Stochastic dual algorithm for voltage regulation in distribution networks with discrete loads X Zhou, Z Liu, E Dall'Anese, L Chen 2017 IEEE International Conference on Smart Grid Communications …, 2017 | 8 | 2017 |
Towards scalable Koopman operator learning: Convergence rates and a distributed learning algorithm Z Liu, G Ding, L Chen, E Yeung 2020 American Control Conference (ACC), 3983-3990, 2020 | 5 | 2020 |
Signal-anticipation in local voltage control in distribution systems Z Liu, S You, X Zhou, G Ding, L Chen IEEE Transactions on Smart Grid 11 (1), 233-246, 2019 | 5 | 2019 |
Incentivizing exploration in linear bandits under information gap H Wang, H Xu, C Li, Z Liu, H Wang 17th ACM Conference on Recommender Systems (RecSys 2023),, 2023 | 4 | 2023 |
Proportional control applied to dynamic network resource allocation Z Liu, L Chen 2017 American Control Conference (ACC), 1948-1953, 2017 | 4 | 2017 |
Multi-level optimal power flow solver in large distribution networks X Zhou, Y Chen, Z Liu, C Zhao, L Chen 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 3 | 2020 |
A smoothed analysis of online lasso for the sparse linear contextual bandit problem Z Liu, H Wang, B Waggoner, L Chen ICML 2020 Real Active Learning Workshop, 2020 | 2 | 2020 |
Self-Interested Behaviors and Coping Strategies in Learning and Control Systems Z Liu University of Colorado at Boulder, 2021 | 1 | 2021 |
Block belief propagation for parameter learning in markov random fields Y Lu, Z Liu, B Huang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4448-4455, 2019 | 1 | 2019 |
Strategic Monitoring for Efficient Detection of Simultaneous APT Attacks with Limited Resources F Shen, Z Liu, L Perigo IJACSA, 2023 | | 2023 |
Hierarchical Distributed Voltage Regulation X Zhou, C Zhao, Z Liu, L Chen US Patent US 2021/0013720 A1, 2022 | | 2022 |
Distributed Online Convex Programming for Collision Avoidance in Multi-agent Autonomous Vehicle Systems G Ding, H Ravanbakhsh, Z Liu, S Sankaranarayanan, L Chen 2019 American Control Conference (ACC), 2771-2776, 2019 | | 2019 |