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Lei Xin
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Year
Byzantine-resilient distributed optimization of multi-dimensional functions
K Kuwaranancharoen, L Xin, S Sundaram
2020 American Control Conference (ACC), 4399-4404, 2020
482020
Identifying the dynamics of a system by leveraging data from similar systems
L Xin, L Ye, G Chiu, S Sundaram
2022 American Control Conference (ACC), 818-824, 2022
212022
Learning dynamical systems by leveraging data from similar systems
L Xin, L Ye, G Chiu, S Sundaram
arXiv preprint arXiv:2302.04344, 2023
82023
Learning the dynamics of autonomous linear systems from multiple trajectories
L Xin, G Chiu, S Sundaram
2022 American Control Conference (ACC), 3955-3960, 2022
82022
Invited review: integration of technologies and systems for precision animal agriculture—a case study on precision dairy farming
U Kaur, VMR Malacco, H Bai, TP Price, A Datta, L Xin, S Sen, ...
Journal of Animal Science 101, skad206, 2023
62023
Scalable distributed optimization of multi-dimensional functions despite byzantine adversaries
K Kuwaranancharoen, L Xin, S Sundaram
IEEE Transactions on Signal and Information Processing over Networks, 2024
32024
Finite sample guarantees for distributed online parameter estimation with communication costs
L Xin, G Chiu, S Sundaram
2022 IEEE 61st Conference on Decision and Control (CDC), 5980-5985, 2022
22022
Learning linearized models from nonlinear systems with finite data
L Xin, G Chiu, S Sundaram
2023 62nd IEEE Conference on Decision and Control (CDC), 2477-2482, 2023
12023
Online change points detection for linear dynamical systems with finite sample guarantees
L Xin, G Chiu, S Sundaram
arXiv preprint arXiv:2311.18769, 2023
12023
Scalable Distributed Optimization Despite Byzantine Adversaries
K Kuwaranancharoen, L Xin, S Sundaram
arXiv preprint arXiv:2403.06502, 2024
2024
C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles
J Li, H Park, W Hao, L Xin, J Chavez-Galaviz, A Chaudhary, M Bloss, ...
arXiv preprint arXiv:2403.05972, 2024
2024
Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach
B She, L Xin, PE Paré, M Hale
arXiv preprint arXiv:2312.09384, 2023
2023
FINITE SAMPLE GUARANTEES FOR LEARNING THE DYNAMICS OF SYSTEMS
L Xin
Purdue University Graduate School, 2023
2023
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Articles 1–13