Follow
Lintao Ye
Lintao Ye
Huazhong University of Science and Technology
Verified email at alumni.purdue.edu
Title
Cited by
Cited by
Year
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
222018
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
122020
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
102020
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
72018
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
62022
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, 2022
52022
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
52019
Distributed maximization of submodular and approximately submodular functions
L Ye, S Sundaram
2020 59th IEEE Conference on Decision and Control (CDC), 2979-2984, 2020
42020
Near-optimal data source selection for bayesian learning
L Ye, A Mitra, S Sundaram
Learning for Dynamics and Control, 854-865, 2021
32021
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
12022
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
12022
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
12021
Regret Bounds for Learning Decentralized Linear Quadratic Regulator with Partially Nested Information Structure
L Ye, M Chi, V Gupta
arXiv preprint arXiv:2210.08886, 2022
2022
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
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
2021
Algorithmic and Graph-Theoretic Approaches for Optimal Sensor Selection in Large-Scale Systems
L Ye
Purdue University Graduate School, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–16