Publications

* denotes equal contribution. See my Google scholar for most recent updates.

Journal Publications

  1. Shaoru Chen, Victor M. Preciado, Manfred Morari, Nikolai Matni. Robust Model Predictive Control with Polytopic Model Uncertainty through System Level Synthesis. Automatica, 2023.
  2. Shuo Yang*, Shaoru Chen*, Victor M. Preciado, Rahul Mangharam. Differentiable Safe Controller Design through Control Barrier Functions. IEEE Control Systems Letters (L-CSS), 2022.
  3. Shaoru Chen*, Eric Wong*, J. Zico Kolter, and Mahyar Fazlyab. DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting. IEEE Open Journal of Control Systems (OJCSYS), 2021.
  4. James T. Allen, Shaoru Chen, and Nael H. El-Farra. Model-based Strategies for Sensor Fault Accommodation in Uncertain Dynamic Processes with Multi-rate Sampled Measurements. Chemical Engineering Research and Design, 2019.

Conference Publications

  1. Lakshmideepakreddy Manda, Shaoru Chen, Mahyar Fazlyab. Learning Performance-Oriented Control Barrier Functions under Complex Safety Constraints and Limited Actuation. Conference on Robot Learning (CoRL), 2024.
  2. Lakshmideepakreddy Manda, Shaoru Chen, Mahyar Fazlyab. Domain Adaptive Safety Filters via Deep Operator Learning. IEEE Conference on Decision and Control (CDC), 2024.
  3. Lekan Molu, Shaoru Chen. Structural Properties and Control of Soft Robots Modeled as Discrete Cosserat Rods. IEEE Conference on Decision and Control (CDC), 2024.
  4. Anurag Koul* , Shivakanth Sujit*, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan Molu, Miro Dudik, John Langford, Alex Lamb. PcLast: Discovering Plannable Continuous Latent States. International Conference on Machine Learning (ICML), 2024.
  5. Shaoru Chen, Lekan Molu, Mahyar Fazlyab. Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees. American Control Conference (ACC), 2024.
  6. Shaoru Chen*, Kong Yao Chee*, Nikolai Matni, M. Ani Hsieh, George J. Pappas. Safety Filter Design for Neural Network Systems via Convex Optimization. IEEE Conference on Decision and Control (CDC), 2023.
  7. Shaoru Chen, Victor M. Preciado, Mahyar Fazlyab. One-Shot Reachability Analysis of Neural Network Dynamical Systems. IEEE International Conference on Robotics and Automation (ICRA), 2023.
  8. Shaoru Chen, Ning-Yuan Li, Victor M. Preciado, and Nikolai Matni. Robust Model Predictive Control of Time-Delay Systems through System Level Synthesis. IEEE Conference on Decision and Control (CDC), 2022.
  9. Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, and Victor M. Preciado. Learning Region of Attraction for Nonlinear Systems. IEEE Conference on Decision and Control (CDC). 2021.
  10. Shaoru Chen, Mahyar Fazlyab, Manfred Morari, George J. Pappas, and Victor M. Preciado. Learning Lyapunov Functions for Hybrid Systems. International Conference on Hybrid Systems: Computation and Control (HSCC), 2021.
  11. Shaoru Chen, Han Wang, Manfred Morari, Victor M. Preciado, and Nikolai Matni. Robust Closed-loop Model Predictive Control via System Level Synthesis. IEEE Conference on Decision and Control (CDC), 2020.
  12. Ximing Chen, Shaoru Chen, and Victor M. Preciado. Safety Verification of Nonlinear Polynomial System via Occupation Measures. IEEE Conference on Decision and Control (CDC), 2019.
  13. Han Wang, Mahyar Fazlyab, Shaoru Chen, and Victor M. Preciado. Robust Convergence Analysis of Three-Operator Splitting. Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019.
  14. Shaoru Chen, James T. Allen, and Nael H. El-Farra. Stability and Performance-Based Strategies for Sensor Fault Accommodation in Multi-rate Sampled-data Processes. IFAC-PapersOnLine 50, no. 1 (2017): 14782-14787.
  15. Zhiyang Liu, Jian Chen, Shaoru Chen, Lianghui Huang, and Zhigang Shao. Modeling and Control of Cathode Air Humidity for PEM Fuel Cell Systems. IFAC-PapersOnLine 50, no. 1 (2017): 4751-4756.