Lintao Ye

According to our database, Lintao Ye authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Model-Free LQR Control over Rate-Limited Channels.

Aritra Mitra, Lintao Ye, Vijay Gupta

CoRR, 2024

2023

Maximization of nonsubmodular functions under multiple constraints with applications.

Lintao Ye, Zhi-Wei Liu, Ming Chi, Vijay Gupta

Autom., September, 2023

On the Sample Complexity of Decentralized Linear Quadratic Regulator With Partially Nested Information Structure.

Lintao Ye, Hao Zhu, Vijay Gupta

IEEE Trans. Autom. Control., August, 2023

Learning Dynamical Systems by Leveraging Data from Similar Systems.

Lei Xin, Lintao Ye, George Chiu, Shreyas Sundaram

CoRR, 2023

2022

Parameter Estimation in Epidemic Spread Networks Using Limited Measurements.

Lintao Ye, Philip E. Paré, Shreyas Sundaram

SIAM J. Control. Optim., 2022

Cascaded Residual Densely Connected Network for Image Super-Resolution.

Changjun Zou, Lintao Ye

KSII Trans. Internet Inf. Syst., 2022

Regret Bounds for Learning Decentralized Linear Quadratic Regulator with Partially Nested Information Structure.

Lintao Ye, Ming Chi, Vijay Gupta

CoRR, 2022

Online Actuator Selection and Controller Design for Linear Quadratic Regulation over a Finite Horizon.

Lintao Ye, Ming Chi, Zhi-Wei Liu, Vijay Gupta

CoRR, 2022

Dissipativity-based Voltage Control in Distribution Grids.

Krishna Chaitanya Kosaraju, Lintao Ye, Vijay Gupta, Rodrigo D. Trevizan, Babu Chalamala, Raymond H. Byrne

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems.

Kyung-bin Kwon, Lintao Ye, Vijay Gupta, Hao Zhu

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Identifying the Dynamics of a System by Leveraging Data from Similar Systems.

Lei Xin, Lintao Ye, George Chiu, Shreyas Sundaram

Proceedings of the American Control Conference, 2022

2021

On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering.

Lintao Ye, Nathaniel Woodford, Sandip Roy, Shreyas Sundaram

IEEE Trans. Autom. Control., 2021

On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure.

Lintao Ye, Hao Zhu, Vijay Gupta

CoRR, 2021

Near-Optimal Data Source Selection for Bayesian Learning.

Lintao Ye, Aritra Mitra, Shreyas Sundaram

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Client Scheduling for Federated Learning over Wireless Networks: A Submodular Optimization Approach.

Lintao Ye, Vijay Gupta

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms.

Lintao Ye, Sandip Roy, Shreyas Sundaram

IEEE Trans. Control. Netw. Syst., 2020

Distributed Maximization of Submodular and Approximately Submodular Functions.

Lintao Ye, Shreyas Sundaram

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Sensor Selection for Hypothesis Testing: Complexity and Greedy Algorithms.

Lintao Ye, Shreyas Sundaram

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Optimal Sensor Placement for Kalman Filtering in Stochastically Forced Consensus Networks.

Lintao Ye, Sandip Roy, Shreyas Sundaram

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

On the Complexity and Approximability of Optimal Sensor Selection for Kalman Filtering.

Lintao Ye, Sandip Roy, Shreyas Sundaram

Proceedings of the 2018 Annual American Control Conference, 2018