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2020 – today
- 2024
[j1]Chuwei Wang, Xinyi Yu
, Jianing Zhao, Lars Lindemann, Xiang Yin:
Sleep When Everything Looks Fine: Self-Triggered Monitoring for Signal Temporal Logic Tasks. IEEE Robotics Autom. Lett. 9(10): 8983-8990 (2024)- [c3]Junyue Huang, Chuwei Wang, Xinyi Yu, Xiang Yin:
Self-Triggered Model Predictive Control for Signal Temporal Logic Tasks. CASE 2024: 2547-2552 - [i6]Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang:
DOF: Accelerating High-order Differential Operators with Forward Propagation. CoRR abs/2402.09730 (2024) - [i5]Chuwei Wang, Julius Berner, Zongyi Li, Di Zhou, Jiayun Wang, Jane Bae, Anima Anandkumar:
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators. CoRR abs/2408.05177 (2024) - 2023
- [c2]Xinyi Yu, Chuwei Wang, Dingran Yuan, Shaoyuan Li, Xiang Yin:
Model Predictive Control for Signal Temporal Logic Specifications with Time Interval Decomposition. CDC 2023: 7849-7855 - [i4]Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang:
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo. CoRR abs/2307.08214 (2023) - [i3]Chuwei Wang, Xinyi Yu, Jianing Zhao, Lars Lindemann, Xiang Yin:
Sleep When Everything Looks Fine: Self-Triggered Monitoring for Signal Temporal Logic Tasks. CoRR abs/2311.15531 (2023) - 2022
- [c1]Chuwei Wang, Shanda Li, Di He, Liwei Wang:
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NeurIPS 2022 - [i2]Chuwei Wang, Shanda Li, Di He, Liwei Wang:
Is L2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network? CoRR abs/2206.02016 (2022) - [i1]Xinyi Yu, Chuwei Wang, Dingran Yuan, Shaoyuan Li, Xiang Yin:
Model Predictive Control for Signal Temporal Logic Specifications with Time Interval Decomposition. CoRR abs/2211.08031 (2022)
Coauthor Index
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