On the Complexity and Approximability of Optimal Sensor Selection for Kalman Filtering. - Lintao Ye; Sandip Roy 002; Shreyas Sundaram (ACC, 2018)

Optimal Sensor Placement for Kalman Filtering in Stochastically Forced Consensus Networks. - Lintao Ye; Sandip Roy 002; Shreyas Sundaram (CDC, 2018)

Sensor Selection for Hypothesis Testing: Complexity and Greedy Algorithms. - Lintao Ye; Shreyas Sundaram (CDC, 2019)

Distributed Maximization of Submodular and Approximately Submodular Functions. - Lintao Ye; Shreyas Sundaram (CDC, 2020)

Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms. - Lintao Ye; Sandip Roy 002; Shreyas Sundaram (IEEE Trans. Control. Netw. Syst., 2020)

Client Scheduling for Federated Learning over Wireless Networks: A Submodular Optimization Approach. - Lintao Ye; Vijay Gupta 001 (CDC, 2021)

Near-Optimal Data Source Selection for Bayesian Learning. - Lintao Ye; Aritra Mitra; Shreyas Sundaram (L4DC, 2021)

On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering. - Lintao Ye; Nathaniel Woodford; Sandip Roy 002; Shreyas Sundaram (IEEE Trans. Autom. Control., 2021)

Identifying the Dynamics of a System by Leveraging Data from Similar Systems. - Lei Xin; Lintao Ye; George Chiu 001; Shreyas Sundaram (ACC, 2022)

Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems. - Kyung-bin Kwon; Lintao Ye; Vijay Gupta 001; Hao Zhu 001 (CDC, 2022)

Dissipativity-based Voltage Control in Distribution Grids. - Krishna Chaitanya Kosaraju; Lintao Ye; Vijay Gupta 001; Rodrigo D. Trevizan; Babu Chalamala; Raymond H. Byrne (ISGT, 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)

Regret Bounds for Learning Decentralized Linear Quadratic Regulator with Partially Nested Information Structure. - Lintao Ye; Ming Chi; Vijay Gupta (CoRR, 2022)

Cascaded Residual Densely Connected Network for Image Super-Resolution. - Changjun Zou; Lintao Ye (KSII Trans. Internet Inf. Syst., 2022)

Parameter Estimation in Epidemic Spread Networks Using Limited Measurements. - Lintao Ye; Philip E. Paré; Shreyas Sundaram (SIAM J. Control. Optim., 2022)

On the Sample Complexity of Decentralized Linear Quadratic Regulator With Partially Nested Information Structure. - Lintao Ye; Hao Zhu 001; Vijay Gupta 001 (IEEE Trans. Autom. Control., 2023)

Maximization of nonsubmodular functions under multiple constraints with applications. - Lintao Ye; Zhi-Wei Liu; Ming Chi; Vijay Gupta (Autom., 2023)

Equitable Client Selection in Federated Learning via Truncated Submodular Maximization. - Andrés C. Castillo J.; Ege C. Kaya; Lintao Ye; Abolfazl Hashemi (CDC, 2024)

On the Convergence of Policy Gradient for Designing a Linear Quadratic Regulator by Leveraging a Proxy System. - Lintao Ye; Aritra Mitra; Vijay Gupta (CDC, 2024)

Towards model-free LQR control over rate-limited channels. - Aritra Mitra; Lintao Ye; Vijay Gupta 001 (L4DC, 2024)

Submodular Maximization Approaches for Equitable Client Selection in Federated Learning. - Andrés Catalino Castillo Jiménez; Ege C. Kaya; Lintao Ye; Abolfazl Hashemi (CoRR, 2024)

Online Convex Optimization with Memory and Limited Predictions. - Lintao Ye; Zhengmiao Wang; Zhi-Wei Liu; Ming Chi; Xiaoling Wang 002; Housheng Su (CoRR, 2024)

Learning Decentralized Linear Quadratic Regulators with ({ sqrt{T}} ) Regret. - Lintao Ye; Ming Chi; Ruiquan Liao; Vijay Gupta (SIAM J. Control. Optim., 2024)

Resilient Multiagent Reinforcement Learning With Function Approximation. - Lintao Ye; Martin Figura; Yixuan Lin; Mainak Pal; Pranoy Das; Ji Liu 001; Vijay Gupta 001 (IEEE Trans. Autom. Control., 2024)

Online mixed discrete and continuous optimization: Algorithms, regret analysis and applications. - Lintao Ye; Ming Chi; Zhi-Wei Liu; Xiaoling Wang; Vijay Gupta 001 (Autom., 2025)

Online Actuator Selection and Controller Design for Linear Quadratic Regulation With an Unknown System Model. - Lintao Ye; Ming Chi; Zhi-Wei Liu 002; Vijay Gupta 001 (IEEE Trans. Autom. Control., 2025)

Real-Time Price-Based Demand Response for Industrial Manufacturing Process via Safe Reinforcement Learning. - Xueyu Ye; Zhi-Wei Liu 002; Ming Chi; Lintao Ye; Chaojie Li (IEEE Trans. Ind. Informatics, 2025)

Learning Stabilizing Policies via an Unstable Subspace Representation. - Leonardo F. Toso; Lintao Ye; James Anderson 001 (CoRR, 2025)

Dynamic Resilient Consensus of Second-Order Multiagent Networks With a Time-Varying Malicious Agent Set. - Ze-Qiang Liu; Zhi-Wei Liu 002; Ding-Xin He; Lintao Ye; Ming Chi (IEEE Trans. Autom. Control., 2025)

Learning Dynamical Systems by Leveraging Data From Similar Systems. - Lei Xin; Lintao Ye; George Chiu 001; Shreyas Sundaram (IEEE Trans. Autom. Control., 2025)

Interval Observer-Based Control of Takagi-Sugeno Fuzzy Systems With Uncertainties. - Ming Chi; Ankang Zhang; Xiaoling Wang 002; Lintao Ye (IEEE Trans. Fuzzy Syst., 2025)