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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
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.
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..
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 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 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).
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.