| On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering L Ye, N Woodford, S Roy, S Sundaram IEEE Transactions on Automatic Control 66 (5), 2146-2161, 2020 | 34 | 2020 |
| Identifying the dynamics of a system by leveraging data from similar systems L Xin, L Ye, G Chiu, S Sundaram 2022 American Control Conference (ACC), 818-824, 2022 | 30 | 2022 |
| On the complexity and approximability of optimal sensor selection for Kalman filtering L Ye, S Roy, S Sundaram 2018 Annual American Control Conference (ACC), 5049-5054, 2018 | 26 | 2018 |
| Resilient sensor placement for Kalman filtering in networked systems: Complexity and algorithms L Ye, S Roy, S Sundaram IEEE Transactions on Control of Network Systems 7 (4), 1870-1881, 2020 | 18 | 2020 |
| On the sample complexity of decentralized linear quadratic regulator with partially nested information structure L Ye, H Zhu, V Gupta IEEE Transactions on Automatic Control 68 (8), 4841 - 4856, 2022 | 15 | 2022 |
| Learning dynamical systems by leveraging data from similar systems L Xin, L Ye, G Chiu, S Sundaram arXiv preprint arXiv:2302.04344, 2023 | 10 | 2023 |
| Client scheduling for federated learning over wireless networks: A submodular optimization approach L Ye, V Gupta 2021 60th IEEE Conference on Decision and Control (CDC), 63-68, 2021 | 8 | 2021 |
| Distributed maximization of submodular and approximately submodular functions L Ye, S Sundaram 2020 59th IEEE Conference on Decision and Control (CDC), 2979-2984, 2020 | 8 | 2020 |
| Optimal sensor placement for Kalman filtering in stochastically forced consensus networks L Ye, S Roy, S Sundaram 2018 IEEE Conference on Decision and Control (CDC), 6686-6691, 2018 | 8 | 2018 |
| Online actuator selection and controller design for linear quadratic regulation with unknown system model L Ye, M Chi, ZW Liu, V Gupta IEEE Transactions on Automatic Control, 2024 | 7* | 2024 |
| Sensor selection for hypothesis testing: Complexity and greedy algorithms L Ye, S Sundaram 2019 IEEE 58th Conference on Decision and Control (CDC), 7844-7849, 2019 | 7 | 2019 |
| Model-free learning for risk-constrained linear quadratic regulator with structured feedback in networked systems K Kwon, L Ye, V Gupta, H Zhu 2022 IEEE 61st Conference on Decision and Control (CDC), 7260-7265, 2022 | 6 | 2022 |
| Learning Decentralized Linear Quadratic Regulators with Regret L Ye, M Chi, R Liao, V Gupta SIAM Journal on Control and Optimization 62 (6), 3341-3368, 2024 | 4* | 2024 |
| Near-optimal data source selection for Bayesian learning L Ye, A Mitra, S Sundaram Learning for Dynamics and Control, 854-865, 2021 | 4 | 2021 |
| Resilient Multi-Agent Reinforcement Learning With Function Approximation L Ye, M Figura, Y Lin, M Pal, P Das, J Liu, V Gupta IEEE Transactions on Automatic Control, 2024 | 2 | 2024 |
| Dissipativity-based Voltage Control in Distribution Grids KC Kosaraju, L Ye, V Gupta, R Trevizan, B Chalamala, RH Byrne 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022 | 2 | 2022 |
| Parameter estimation in epidemic spread networks using limited measurements L Ye, PE Paré, S Sundaram SIAM Journal on Control and Optimization 60 (2), S49-S74, 2021 | 2 | 2021 |
| Towards Model-Free LQR Control over Rate-Limited Channels A Mitra, L Ye, V Gupta 6th Annual Learning for Dynamics & Control Conference, 1253–1265, 2024 | 1 | 2024 |
| Decentralized Reactive Power Control in Distribution Grids With Unknown Reactance Matrix L Ye, KC Kosaraju, V Gupta, RD Trevizan, RH Byrne, BR Chalamala IEEE Open Access Journal of Power and Energy, 2024 | 1 | 2024 |
| Maximization of nonsubmodular functions under multiple constraints with applications L Ye, ZW Liu, M Chi, V Gupta Automatica 155, 111126, 2023 | 1 | 2023 |
Shreyas SundaramMarie Gordon Professor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
