Yunhong Che

According to our database, Yunhong Che authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Time-Certified and Efficient NMPC via Koopman Operator.

Liang Wu, Yunhong Che, Bo Yang, Kangyu Lin, Ján Drgona

CoRR, February, 2026

Fixed-Time-Stable ODE Representation of Lasso.

Liang Wu, Yunhong Che, Wallace Tan Gian Yion, Efstathios Iliakis, Richard D. Braatz, Ján Drgona

IEEE Control. Syst. Lett., 2026

A survey of transformer networks for time series forecasting.

Jingyuan Zhao, Fulin Chu, Lili Xie, Yunhong Che, Yuyan Wu, Andrew F. Burke

Comput. Sci. Rev., 2026

Conditional variational learning for collaborative wind turbine diagnostics and out-of-distribution detection.

Zhe Wang, Yunhong Che, Tianfu Li, Hong Yan, Min Xie

Adv. Eng. Informatics, 2026

2025

Merging Physics-Based Synthetic Data and Machine Learning for Thermal Monitoring of Lithium-ion Batteries: The Role of Data Fidelity.

Yusheng Zheng, Wenxue Liu, Yunhong Che, Ferdinand Grimm, Jingyuan Zhao, Xiaosong Hu, Simona Onori, Remus Teodorescu, Gregory J. Offer

CoRR, September, 2025

Collision-Free Bearing-Driven Formation Tracking for Euler-Lagrange Systems.

Haoshu Cheng, Martin Guay, Shimin Wang, Yunhong Che

CoRR, August, 2025

Diagnostic-free onboard battery health assessment.

Yunhong Che, Vivek N. Lam, Jinwook Rhyu, Joachim Schaeffer, Minsu Kim, Martin Z. Bazant, William C. Chueh, Richard D. Braatz

CoRR, March, 2025

A Time-Certified Predictor-Corrector IPM Algorithm for Box-QP.

Liang Wu, Yunhong Che, Richard D. Braatz, Ján Drgona

IEEE Control. Syst. Lett., 2025

Learning-based Discrete-Time Observer and Its Application to Output Regulation.

Shimin Wang, Yunhong Che, Liang Wu, Martin Guay, Richard D. Braatz

Proceedings of the 2025 American Control Conference, 2025

2024

Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions.

Yunhong Che, Florent Forest, Yusheng Zheng, Le Xu, Remus Teodorescu

IEEE Trans. Ind. Electron., November, 2024

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection.

Yunhong Che, Yusheng Zheng, Florent Forest, Xin Sui, Xiaosong Hu, Remus Teodorescu

Reliab. Eng. Syst. Saf., January, 2024

Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning.

Shengyu Tao, Mengtian Zhang, Zixi Zhao, Haoyang Li, Ruifei Ma, Yunhong Che, Xin Sun, Lin Su, Xiangyu Chen, Zihao Zhou, Heng Chang, Tingwei Cao, Xiao Xiao, Yaojun Liu, Wenjun Yu, Zhongling Xu, Yang Li, Han Hao, Xuan Zhang, Xiaosong Hu, Guangmin Zhou

CoRR, 2024

2023

Battery States Monitoring for Electric Vehicles Based on Transferred Multi-Task Learning.

Yunhong Che, Yusheng Zheng, Yue Wu, Xianke Lin, Jiacheng Li, Xiaosong Hu, Remus Teodorescu

IEEE Trans. Veh. Technol., August, 2023

Semi-Supervised Self-Learning-Based Lifetime Prediction for Batteries.

Yunhong Che, Daniel-Ioan Stroe, Xiaosong Hu, Remus Teodorescu

IEEE Trans. Ind. Informatics, May, 2023

Spatial-Temporal Data-Driven Speed Prediction for Energy Management of Battery/Supercapacitor Electric Vehicles.

Yue Wu, Zhiwu Huang, Yunhong Che, Zini Wang, Jun Peng

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Early Prediction of Lithium-Ion Batteries Lifetime via Few-Shot Learning.

Xin Sui, Shan He, Yusheng Zheng, Yunhong Che, Remus Teodorescu

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2021

Predictive Battery Health Management With Transfer Learning and Online Model Correction.

Yunhong Che, Zhongwei Deng, Xianke Lin, Lin Hu, Xiaosong Hu

IEEE Trans. Veh. Technol., 2021