Chuwei Wang

According to our database, Chuwei Wang authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Sleep When Everything Looks Fine: Self-Triggered Monitoring for Signal Temporal Logic Tasks.

Chuwei Wang, Xinyi Yu, Jianing Zhao, Lars Lindemann, Xiang Yin

IEEE Robotics Autom. Lett., October, 2024

Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators.

Chuwei Wang, Julius Berner, Zongyi Li, Di Zhou, Jiayun Wang, Jane Bae, Anima Anandkumar

CoRR, 2024

DOF: Accelerating High-order Differential Operators with Forward Propagation.

Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang

CoRR, 2024

Self-Triggered Model Predictive Control for Signal Temporal Logic Tasks.

Junyue Huang, Chuwei Wang, Xinyi Yu, Xiang Yin

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo.

Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang

CoRR, 2023

Model Predictive Control for Signal Temporal Logic Specifications with Time Interval Decomposition.

Xinyi Yu, Chuwei Wang, Dingran Yuan, Shaoyuan Li, Xiang Yin

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Is L² Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?

Chuwei Wang, Shanda Li, Di He, Liwei Wang

CoRR, 2022

Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?

Chuwei Wang, Shanda Li, Di He, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022