Lintao Ye

51 papers C 2Journal 37Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Communication-Aware Wide-Area Damping Control Using Risk-Constrained Reinforcement Learning.
IEEE Trans. Smart Grid
Kyung-bin Kwon, Lintao Ye, Vijay Gupta, Hao Zhu
2026 J jnl
Computing Distributed Controlled Invariant Sets for Interconnected Linear Systems With Information Structures.
IEEE Trans. Control. Netw. Syst.
Liren Yang, Lintao Ye
2026 J jnl
Distributed framework for dynamic coordination of thermostatically controlled loads: A resilient consensus approach.
Autom.
Ze-Qiang Liu, Zhi-Wei Liu, Lintao Ye, Ding-Xin He, Guanghui Wen
2026 J jnl
Model-Free Output Feedback Stabilization via Policy Gradient Methods.
CoRR
Ankang Zhang, Ming Chi, Xiaoling Wang, Lintao Ye
2026 J jnl
Online Learning of Kalman Filtering: From Output to State Estimation.
CoRR
Lintao Ye, Ankang Zhang, Ming Chi, Bin Du, Jianghai Hu
2025 J jnl
Byzantine-Resilient Multiagent Distributed Optimization Under Redundancy.
IEEE Trans. Control. Netw. Syst.
Yang Zhai, Zhi-Wei Liu, Dong Yue, Songlin Hu, Chao Deng, Lintao Ye
2025 J jnl
Communication-aware Wide-Area Damping Control using Risk-Constrained Reinforcement Learning.
CoRR
Kyung-bin Kwon, Lintao Ye, Vijay Gupta, Hao Zhu
2025 J jnl
Dynamic Resilient Consensus of Second-Order Multiagent Networks With a Time-Varying Malicious Agent Set.
IEEE Trans. Autom. Control.
Ze-Qiang Liu, Zhi-Wei Liu, Ding-Xin He, Lintao Ye, Ming Chi
2025 J jnl
Interval Observer-Based Control of Takagi-Sugeno Fuzzy Systems With Uncertainties.
IEEE Trans. Fuzzy Syst.
Ming Chi, Ankang Zhang, Xiaoling Wang, Lintao Ye
2025 J jnl
Learning Dynamical Systems by Leveraging Data From Similar Systems.
IEEE Trans. Autom. Control.
Lei Xin, Lintao Ye, George Chiu, Shreyas Sundaram
2025 — conf
Learning Stabilizing Policies via an Unstable Subspace Representation.
CDC
Leonardo F. Toso, Lintao Ye, James Anderson
2025 J jnl
Learning Stabilizing Policies via an Unstable Subspace Representation.
CoRR
Leonardo F. Toso, Lintao Ye, James Anderson
2025 — conf
Offline and Online Distributed Submodular Maximization under a Partitioned Matroid Constraint.
CDC
Lintao Ye, Bin Du, Zhi-Wei Liu
2025 J jnl
Online Actuator Selection and Controller Design for Linear Quadratic Regulation With an Unknown System Model.
IEEE Trans. Autom. Control.
Lintao Ye, Ming Chi, Zhi-Wei Liu, Vijay Gupta
2025 J jnl
Online mixed discrete and continuous optimization: Algorithms, regret analysis and applications.
Autom.
Lintao Ye, Ming Chi, Zhi-Wei Liu, Xiaoling Wang, Vijay Gupta
2025 J jnl
Real-Time Price-Based Demand Response for Industrial Manufacturing Process via Safe Reinforcement Learning.
IEEE Trans. Ind. Informatics
Xueyu Ye, Zhi-Wei Liu, Ming Chi, Lintao Ye, Chaojie Li
2024 — conf
Equitable Client Selection in Federated Learning via Truncated Submodular Maximization.
CDC
Andrés C. Castillo J., Ege C. Kaya, Lintao Ye, Abolfazl Hashemi
2024 J jnl
Learning Decentralized Linear Quadratic Regulators with \({\sqrt{T}}\) Regret.
SIAM J. Control. Optim.
Lintao Ye, Ming Chi, Ruiquan Liao, Vijay Gupta
2024 — conf
On the Convergence of Policy Gradient for Designing a Linear Quadratic Regulator by Leveraging a Proxy System.
CDC
Lintao Ye, Aritra Mitra, Vijay Gupta
2024 J jnl
Online Convex Optimization with Memory and Limited Predictions.
CoRR
Lintao Ye, Zhengmiao Wang, Zhi-Wei Liu, Ming Chi, Xiaoling Wang, Housheng Su
2024 J jnl
Resilient Multiagent Reinforcement Learning With Function Approximation.
IEEE Trans. Autom. Control.
Lintao Ye, Martin Figura, Yixuan Lin, Mainak Pal, Pranoy Das, Ji Liu, Vijay Gupta
2024 J jnl
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning.
CoRR
Andrés Catalino Castillo Jiménez, Ege C. Kaya, Lintao Ye, Abolfazl Hashemi
2024 J jnl
Towards Model-Free LQR Control over Rate-Limited Channels.
CoRR
Aritra Mitra, Lintao Ye, Vijay Gupta
2024 — conf
Towards model-free LQR control over rate-limited channels.
L4DC
Aritra Mitra, Lintao Ye, Vijay Gupta
2023 J jnl
Learning Dynamical Systems by Leveraging Data from Similar Systems.
CoRR
Lei Xin, Lintao Ye, George Chiu, Shreyas Sundaram
2023 J jnl
Maximization of Nonsubmodular Functions under Multiple Constraints with Applications.
CoRR
Lintao Ye, Zhi-Wei Liu, Ming Chi, Vijay Gupta
2023 J jnl
Maximization of nonsubmodular functions under multiple constraints with applications.
Autom.
Lintao Ye, Zhi-Wei Liu, Ming Chi, Vijay Gupta
2023 J jnl
On the Sample Complexity of Decentralized Linear Quadratic Regulator With Partially Nested Information Structure.
IEEE Trans. Autom. Control.
Lintao Ye, Hao Zhu, Vijay Gupta
2022 J jnl
Cascaded Residual Densely Connected Network for Image Super-Resolution.
KSII Trans. Internet Inf. Syst.
Changjun Zou, Lintao Ye
2022 — conf
Dissipativity-based Voltage Control in Distribution Grids.
ISGT
Krishna Chaitanya Kosaraju, Lintao Ye, Vijay Gupta, Rodrigo D. Trevizan, Babu Chalamala, Raymond H. Byrne
2022 C conf
Identifying the Dynamics of a System by Leveraging Data from Similar Systems.
ACC
Lei Xin, Lintao Ye, George Chiu, Shreyas Sundaram
2022 J jnl
Identifying the Dynamics of a System by Leveraging Data from Similar Systems.
CoRR
Lei Xin, Lintao Ye, George Chiu, Shreyas Sundaram
2022 — conf
Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems.
CDC
Kyung-bin Kwon, Lintao Ye, Vijay Gupta, Hao Zhu
2022 J jnl
Online Actuator Selection and Controller Design for Linear Quadratic Regulation over a Finite Horizon.
CoRR
Lintao Ye, Ming Chi, Zhi-Wei Liu, Vijay Gupta
2022 J jnl
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements.
SIAM J. Control. Optim.
Lintao Ye, Philip E. Paré, Shreyas Sundaram
2022 J jnl
Regret Bounds for Learning Decentralized Linear Quadratic Regulator with Partially Nested Information Structure.
CoRR
Lintao Ye, Ming Chi, Vijay Gupta
2021 — conf
Client Scheduling for Federated Learning over Wireless Networks: A Submodular Optimization Approach.
CDC
Lintao Ye, Vijay Gupta
2021 — conf
Near-Optimal Data Source Selection for Bayesian Learning.
L4DC
Lintao Ye, Aritra Mitra, Shreyas Sundaram
2021 J jnl
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering.
IEEE Trans. Autom. Control.
Lintao Ye, Nathaniel Woodford, Sandip Roy, Shreyas Sundaram
2021 J jnl
On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure.
CoRR
Lintao Ye, Hao Zhu, Vijay Gupta
2021 J jnl
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements.
CoRR
Lintao Ye, Philip E. Paré, Shreyas Sundaram
2020 — conf
Distributed Maximization of Submodular and Approximately Submodular Functions.
CDC
Lintao Ye, Shreyas Sundaram
2020 J jnl
Distributed Maximization of Submodular and Approximately Submodular Functions.
CoRR
Lintao Ye, Shreyas Sundaram
2020 J jnl
Near-Optimal Data Source Selection for Bayesian Learning.
CoRR
Lintao Ye, Aritra Mitra, Shreyas Sundaram
2020 J jnl
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering.
CoRR
Lintao Ye, Nathaniel Woodford, Sandip Roy, Shreyas Sundaram
2020 J jnl
Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms.
CoRR
Lintao Ye, Sandip Roy, Shreyas Sundaram
2020 J jnl
Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms.
IEEE Trans. Control. Netw. Syst.
Lintao Ye, Sandip Roy, Shreyas Sundaram
2019 — conf
Sensor Selection for Hypothesis Testing: Complexity and Greedy Algorithms.
CDC
Lintao Ye, Shreyas Sundaram
2018 C conf
On the Complexity and Approximability of Optimal Sensor Selection for Kalman Filtering.
ACC
Lintao Ye, Sandip Roy, Shreyas Sundaram
2018 — conf
Optimal Sensor Placement for Kalman Filtering in Stochastically Forced Consensus Networks.
CDC
Lintao Ye, Sandip Roy, Shreyas Sundaram
2017 J jnl
On the Complexity and Approximability of Optimal Sensor Selection for Kalman Filtering.
CoRR
Lintao Ye, Sandip Roy, Shreyas Sundaram