Baike She

37 papers C 5Journal 24Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Dissipativity Approach to Analyzing Composite Spreading Networks.
IEEE Trans. Control. Netw. Syst.
Baike She, Matthew Hale
2025 J jnl
A Physics-Informed Neural Networks-Based Model Predictive Control Framework for
CoRR
Aiping Zhong, Baike She, Philip E. Paré
2025 J jnl
Learning Linearized Models from Nonlinear Systems under Initialization Constraints with Finite Data.
CoRR
Lei Xin, Baike She, Qi Dou, George Chiu, Shreyas Sundaram
2025 J jnl
Learning linearized models from nonlinear systems under initialization constraints with finite data.
Autom.
Lei Xin, Baike She, Qi Dou, George T.-C. Chiu, Shreyas Sundaram
2025 J jnl
Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy.
CoRR
Bo Chen, Baike She, Calvin Hawkins, Philip E. Paré, Matthew T. Hale
2024 J jnl
A Dissipativity Approach to Analyzing Composite Spreading Networks.
CoRR
Baike She, Matthew Hale
2024 J jnl
Control of SIR Epidemics: Sacrificing Optimality for Feasibility.
CoRR
Baike She, Lei Xin, Shreyas Sundaram, Philip E. Paré
2024 C conf
Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models.
ACC
Bo Chen, Baike She, Calvin Hawkins, Alexander Benvenuti, Brandon Fallin, Philip E. Paré, Matthew Hale
2024 J jnl
Modeling Epidemic Spread: A Gaussian Process Regression Approach.
IEEE Control. Syst. Lett.
Baike She, Lei Xin, Philip E. Paré, Matthew Hale
2024 C conf
Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems.
ACC
Tyler Hanks, Baike She, Evan Patterson, Matthew Hale, Matthew Klawonn, James P. Fairbanks
2023 — conf
Characterizing Compositionality of LQR from the Categorical Perspective.
CDC
Baike She, Tyler Hanks, James P. Fairbanks, Matthew Hale
2023 J jnl
Characterizing Compositionality of LQR from the Categorical Perspective.
CoRR
Baike She, Tyler Hanks, James P. Fairbanks, Matthew T. Hale
2023 J jnl
Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models.
CoRR
Bo Chen, Baike She, Calvin Hawkins, Alexander Benvenuti, Brandon Fallin, Philip E. Paré, Matthew T. Hale
2023 C conf
Distributed Reproduction Numbers of Networked Epidemics.
ACC
Baike She, Philip E. Paré, Matthew Hale
2023 J jnl
Distributed Reproduction Numbers of Networked Epidemics.
CoRR
Baike She, Philip E. Paré, Matthew Hale
2023 — conf
Leveraging Opinions and Vaccination to Eradicate Networked Epidemics.
ECC
Humphrey C. H. Leung, Zhuocong Li, Baike She, Philip E. Paré
2023 J jnl
Leveraging Opinions and Vaccination to Eradicate Networked Epidemics.
CoRR
Humphrey C. H. Leung, Zhuocong Li, Baike She, Philip E. Paré
2023 J jnl
Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach.
CoRR
Baike She, Lei Xin, Philip E. Paré, Matthew T. Hale
2023 J jnl
Reverse Engineering the Reproduction Number: A Framework for Data-Driven Counterfactual Analysis, Strategy Evaluation, and Feedback Control of Epidemics.
CoRR
Baike She, Rebecca Lee Smith, Ian Pytlarz, Shreyas Sundaram, Philip E. Paré
2022 C conf
A Learning-Based Model Predictive Control Framework for Real-Time SIR Epidemic Mitigation.
ACC
Baike She, Shreyas Sundaram, Philip E. Paré
2022 J jnl
On a Networked SIS Epidemic Model With Cooperative and Antagonistic Opinion Dynamics.
IEEE Trans. Control. Netw. Syst.
Baike She, Ji Liu, Shreyas Sundaram, Philip E. Paré
2022 — conf
Optimal Mitigation of SIR Epidemics Under Model Uncertainty.
CDC
Baike She, Shreyas Sundaram, Philip E. Paré
2022 J jnl
Optimal Mitigation of SIR Epidemics Under Model Uncertainty.
CoRR
Baike She, Shreyas Sundaram, Philip E. Paré
2021 J jnl
Characterizing Energy-Related Controllability of Composite Complex Networks via Graph Product.
IEEE Trans. Autom. Control.
Baike She, Siddhartha S. Mehta, Emily A. Doucette, Chau Ton, Zhen Kan
2021 J jnl
Design of controllable Leader-follower Networks via Memetic Algorithms.
Adv. Complex Syst.
Shaoping Xiao, Baike She, Siddhartha S. Mehta, Zhen Kan
2021 J jnl
Energy-Related Controllability of Signed Complex Networks With Laplacian Dynamics.
IEEE Trans. Autom. Control.
Baike She, Siddhartha S. Mehta, Chau Ton, Zhen Kan
2021 J jnl
On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics.
CoRR
Baike She, Ji Liu, Shreyas Sundaram, Philip E. Paré
2021 — conf
Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics.
CDC
Baike She, Humphrey C. H. Leung, Shreyas Sundaram, Philip E. Paré
2021 J jnl
Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics.
CoRR
Baike She, Humphrey C. H. Leung, Shreyas Sundaram, Philip E. Paré
2020 — conf
Characterizing Energy-Related Controllability of Complex Networks Via Cartesian Product.
ICCA
Baike She, Shaofeng Meng, Z. Li, Zhen Kan
2020 J jnl
Characterizing controllable subspace and herdability of signed weighted networks via graph partition.
Autom.
Baike She, Zhen Kan
2020 J jnl
Controllability Ensured Leader Group Selection on Signed Multiagent Networks.
IEEE Trans. Cybern.
Baike She, Siddhartha S. Mehta, Chau Ton, Zhen Kan
2020 — conf
Leader Group Selection for Herdability of Structurally Balanced Signed Networks.
CDC
Shaofeng Meng, Baike She, Hongbo Gao, Zhen Kan
2019 J jnl
Algebraic topological characterizations of structural balance in signed graphs.
Autom.
Baike She, Zhen Kan
2019 — conf
Characterizing Herdability of Signed Networks via Graph Walks.
CDC
Baike She, Mingyu Cai, Zhen Kan
2019 C conf
Leader Group Selection for Energy-Related Controllability of Signed Acyclic Graphs.
ACC
Baike She, Siddhartha S. Mehta, Emily A. Doucette, J. Willard Curtis, Zhen Kan
2018 — conf
Topological Characterizations of Leader-Follower Controllability on Signed Path and Cycle Networks.
CDC
Baike She, Siddhartha S. Mehta, Chau Ton, Zhen Kan