Lintao Ye
Lintao Ye
Huazhong University of Science and Technology
Verified email at
Cited by
Cited by
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
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
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
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
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
Near-optimal data source selection for bayesian learning
L Ye, A Mitra, S Sundaram
Learning for Dynamics and Control, 854-865, 2021
On the sample complexity of decentralized linear quadratic regulator with partially nested information structure
L Ye, H Zhu, V Gupta
arXiv preprint arXiv:2110.07112, 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
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 …, 2022
Identifying the Dynamics of a System by Leveraging Data from Similar Systems
L Xin, L Ye, G Chiu, S Sundaram
arXiv preprint arXiv:2204.05446, 2022
Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems
K Kwon, L Ye, V Gupta, H Zhu
arXiv preprint arXiv:2204.01779, 2022
Online Actuator Selection and Controller Design for Linear Quadratic Regulation over a Finite Horizon
L Ye, M Chi, ZW Liu, V Gupta
arXiv preprint arXiv:2201.10197, 2022
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
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
Algorithmic and Graph-Theoretic Approaches for Optimal Sensor Selection in Large-Scale Systems
L Ye
Purdue University Graduate School, 2020
The system can't perform the operation now. Try again later.
Articles 1–15