Publications

Research on battery intelligence, degradation forecasting, materials informatics, and graph learning. An asterisk (*) denotes equal contribution.

All Publications

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026 CCF-A

BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting

Ruifeng Tan*, Jintao Dong*, Weixiang Hong, Jia Li, Jiaqiang Huang, Tong-Yi Zhang

Paper Code
Preprint, 2025

Pretrained Battery Transformer (PBT): A Foundation Model for Battery Life Prediction

Ruifeng Tan, Weixiang Hong, Jia Li, Jiaqiang Huang, Tong-Yi Zhang

Paper Code
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025 CCF-A
40,000+ downloads

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

Paper Code
ACS Energy Letters, 2025 JCR-Q1 SCI-Q1 Top
Cover Paper

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

Paper Code
International Conference on Learning Representations (ICLR), 2025 CCF-A

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

Paper Code
Energy Storage Materials, 2024 JCR-Q1 SCI-Q1 Top

Forecasting Battery Degradation Trajectory under Domain Shift with Domain Generalization

Ruifeng Tan, Xibin Lu, Minhao Cheng, Jia Li, Jiaqiang Huang, Tong-Yi Zhang

Paper Code
Journal of The Electrochemical Society, 2023 JCR-Q2 SCI-Q4

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

Paper
International Joint Conference on Neural Networks (IJCNN), 2022 CCF-C

PMGNN: A Pioneer-Master Graph Neural Network for Graph Classification

Ruifeng Tan, Yuanyuan Zhu

Paper