Topological Characterizations of Leader-Follower Controllability on Signed Path and Cycle Networks. - Baike She; Siddhartha S. Mehta; Chau Ton; Zhen Kan (CDC, 2018)

Leader Group Selection for Energy-Related Controllability of Signed Acyclic Graphs. - Baike She; Siddhartha S. Mehta; Emily A. Doucette; J. Willard Curtis; Zhen Kan (ACC, 2019)

Characterizing Herdability of Signed Networks via Graph Walks. - Baike She; Mingyu Cai; Zhen Kan (CDC, 2019)

Algebraic topological characterizations of structural balance in signed graphs. - Baike She; Zhen Kan (Autom., 2019)

Leader Group Selection for Herdability of Structurally Balanced Signed Networks. - Shaofeng Meng; Baike She; Hongbo Gao 001; Zhen Kan (CDC, 2020)

Characterizing Energy-Related Controllability of Complex Networks Via Cartesian Product. - Baike She; Shaofeng Meng; Z. Li; Zhen Kan (ICCA, 2020)

Characterizing controllable subspace and herdability of signed weighted networks via graph partition. - Baike She; Zhen Kan (Autom., 2020)

Controllability Ensured Leader Group Selection on Signed Multiagent Networks. - Baike She; Siddhartha S. Mehta; Chau Ton; Zhen Kan (IEEE Trans. Cybern., 2020)

Peak Infection Time for a Networked SIR Epidemic with Opinion Dynamics. - Baike She; Humphrey C. H. Leung 001; Shreyas Sundaram; Philip E. Paré (CDC, 2021)

Design of controllable Leader-follower Networks via Memetic Algorithms. - Shaoping Xiao; Baike She; Siddhartha S. Mehta; Zhen Kan (Adv. Complex Syst., 2021)

On a Network SIS Epidemic Model with Cooperative and Antagonistic Opinion Dynamics. - Baike She; Ji Liu 001; Shreyas Sundaram; Philip E. Paré (CoRR, 2021)

Characterizing Energy-Related Controllability of Composite Complex Networks via Graph Product. - Baike She; Siddhartha S. Mehta; Emily A. Doucette; Chau Ton; Zhen Kan (IEEE Trans. Autom. Control., 2021)

Energy-Related Controllability of Signed Complex Networks With Laplacian Dynamics. - Baike She; Siddhartha S. Mehta; Chau Ton; Zhen Kan (IEEE Trans. Autom. Control., 2021)

A Learning-Based Model Predictive Control Framework for Real-Time SIR Epidemic Mitigation. - Baike She; Shreyas Sundaram; Philip E. Paré (ACC, 2022)

Optimal Mitigation of SIR Epidemics Under Model Uncertainty. - Baike She; Shreyas Sundaram; Philip E. Paré (CDC, 2022)

On a Networked SIS Epidemic Model With Cooperative and Antagonistic Opinion Dynamics. - Baike She; Ji Liu 001; Shreyas Sundaram; Philip E. Paré (IEEE Trans. Control. Netw. Syst., 2022)

Distributed Reproduction Numbers of Networked Epidemics. - Baike She; Philip E. Paré; Matthew Hale 001 (ACC, 2023)

Characterizing Compositionality of LQR from the Categorical Perspective. - Baike She; Tyler Hanks; James P. Fairbanks; Matthew Hale 001 (CDC, 2023)

Leveraging Opinions and Vaccination to Eradicate Networked Epidemics. - Humphrey C. H. Leung 001; Zhuocong Li; Baike She; Philip E. Paré (ECC, 2023)

Reverse Engineering the Reproduction Number: A Framework for Data-Driven Counterfactual Analysis, Strategy Evaluation, and Feedback Control of Epidemics. - Baike She; Rebecca Lee Smith; Ian Pytlarz; Shreyas Sundaram; Philip E. Paré (CoRR, 2023)

Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach. - Baike She; Lei Xin; Philip E. Paré; Matthew T. Hale (CoRR, 2023)

Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models. - Bo Chen; Baike She; Calvin Hawkins; Alexander Benvenuti; Brandon Fallin; Philip E. Paré; Matthew Hale 001 (ACC, 2024)

Modeling Model Predictive Control: A Category Theoretic Framework for Multistage Control Problems. - Tyler Hanks; Baike She; Evan Patterson; Matthew Hale 001; Matthew Klawonn; James P. Fairbanks (ACC, 2024)

Control of SIR Epidemics: Sacrificing Optimality for Feasibility. - Baike She; Lei Xin; Shreyas Sundaram; Philip E. Paré (CoRR, 2024)

A Dissipativity Approach to Analyzing Composite Spreading Networks. - Baike She; Matthew Hale 001 (CoRR, 2024)

Modeling Epidemic Spread: A Gaussian Process Regression Approach. - Baike She; Lei Xin; Philip E. Paré; Matthew Hale 001 (IEEE Control. Syst. Lett., 2024)

Learning linearized models from nonlinear systems under initialization constraints with finite data. - Lei Xin; Baike She; Qi Dou 001; George T.-C. Chiu; Shreyas Sundaram (Autom., 2025)

Scalable Distributed Reproduction Numbers of Network Epidemics with Differential Privacy. - Bo Chen; Baike She; Calvin Hawkins; Philip E. Paré; Matthew T. Hale (CoRR, 2025)