Publications
Publications
* denotes equal contribution
BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting, Ruifeng Tan*, Jintao Dong*, Weixiang Hong, Jia Li, Jiaqiang Huang, Tong-Yi Zhang. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026.
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction, Ruifeng Tan*, Weixiang Hong*, Jiayue Tang, Xibin Lu, Ruijun Ma, Xiang Zheng, Jia Li, Jiaqiang Huang, Tong-Yi Zhang. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. [PAPER] [CODE]
Unlocking Ultrafast Diagnosis of Retired Batteries via Interpretable Machine Learning and Optical Fiber Sensors, Taolue Zhang*, Ruifeng Tan*, Pinxi Zhu, Tong-Yi Zhang, Jiaqiang Huang. ACS Energy Letters, 2025. Cover Paper [PAPER] [CODE]
SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystalline Symmetry Classification Benchmark, Bin Cao*, Yang Liu*, Zinan Zheng*, Ruifeng Tan, Jia Li, Tong-Yi Zhang. International Conference on Learning Representations (ICLR), 2025. [PAPER] [CODE]
Forecasting battery degradation trajectory under domain shift with domain generalization, Ruifeng Tan, Xibin Lu, Minhao Cheng, Jia Li, Jiaqiang Huang, Tong-Yi Zhang. Energy Storage Materials, 2024. [PAPER] [CODE]
Unravelling Thermal and Enthalpy Evolutions of Commercial Sodium-Ion Cells upon Cycling Ageing via Fiber Optic Sensors, Jiaqiang Huang, Charles Delacourt, Parth Desai, Charlotte Gervillié-Mouravieff, Laura Albero Blanquer, Ruifeng Tan, Jean-Marie Tarascon. J. Electrochem. Soc., 2023. [PAPER]
PMGNN: A Pioneer-Master Graph Neural Network for Graph Classification, Ruifeng Tan, and Yuanyuan Zhu. International Joint Conference on Neural Networks (IJCNN), 2022. [PAPER]