Publications

A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments

Published in Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025

Yuchen Wang, Hongjue Zhao, Haohong Lin, Enze Xu, Lifang He, and Huajie Shao.

Recommended citation: Yuchen Wang, Hongjue Zhao, Haohong Lin, Enze Xu, Lifang He, & Huajie Shao. (2025). A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments. Proceedings of the 42nd International Conference on Machine Learning (ICML).

Accelerating Neural ODEs: A Variational Formulation-based Approach

Published in The Thirteenth International Conference on Learning Representations (ICLR), 2025

Hongjue Zhao, Yuchen Wang, Hairong Qi, Zijie Huang, Han Zhao, Lui Sha, and Huajie Shao.

Recommended citation: Zhao, H., Wang, Y., Qi, H., Huang, Z., Zhao, H., Sha, L., & Shao, H. (2025). Accelerating Neural ODEs A Variational Formulation-based Approach. In The Thirteenth International Conference on Learning Representations.

A Deep Transfer Operator Learning Method for Temperature Field Reconstruction in a Lithium-Ion Battery Pack

Published in IEEE Transactions on Industrial Informatics (IF=11.7), 2024

Yuchen Wang, Can Xiong, Changjiang Ju, Genke Yang, Yu-wang Chen, and Xiaotian Yu.

Recommended citation: Wang, Y., Xiong, C., Ju, C., Yang, G., Chen, Y. W., & Yu, X. (2024). A Deep Transfer Operator Learning Method for Temperature Field Reconstruction in a Lithium-Ion Battery Pack. IEEE Transactions on Industrial Informatics.

Accelerating Neural Differential Equations for Irregularly-Sampled Dynamical Systems Using Variational Formulation

Published in ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024

Hongjue Zhao, Yuchen Wang, Hairong Qi, Jiajia Li, Lui Sha, Han Zhao, and Huajie Shao.

Recommended citation: Zhao, H., Wang, Y., Qi, H., Li, J., Sha, L., Zhao, H., & Shao, H. (2024, March). Accelerating Neural Differential Equations for Irregularly-Sampled Dynamical Systems Using Variational Formulation. In ICLR 2024 Workshop on AI4DifferentialEquations In Science..

Temperature state prediction for lithium-ion batteries based on improved physics informed neural networks

Published in Journal of Energy Storage (IF=8.9), 2023

Yuchen Wang, Can Xiong, Yiming Wang, Po Xu, Changjiang Ju, Jianghao Shi, Genke Yang, and Jian Chu.

Recommended citation: Wang, Y., Xiong, C., Wang, Y., Xu, P., Ju, C., Shi, J., ... & Chu, J. (2023). Temperature state prediction for lithium-ion batteries based on improved physics informed neural networks. Journal of Energy Storage, 73, 108863.