| Byzantine-resilient distributed optimization of multi-dimensional functions K Kuwaranancharoen, L Xin, S Sundaram 2020 American Control Conference (ACC), 4399-4404, 2020 | 44 | 2020 |
| 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 | 19 | 2022 |
| Learning dynamical systems by leveraging data from similar systems L Xin, L Ye, G Chiu, S Sundaram arXiv preprint arXiv:2302.04344, 2023 | 8 | 2023 |
| Learning the dynamics of autonomous linear systems from multiple trajectories L Xin, G Chiu, S Sundaram 2022 American Control Conference (ACC), 3955-3960, 2022 | 6 | 2022 |
| 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 | 5 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2023 |
| Online Change Points Detection for Linear Dynamical Systems with Finite Sample Guarantees L Xin, G Chiu, S Sundaram arXiv preprint arXiv:2311.18769, 2023 | 1 | 2023 |
| 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 | | 2024 |
| 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 |
| Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach (preprint) B She, L Xin, PE Paré, M Hale | | 2023 |
Shreyas SundaramMarie Gordon Professor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
