Ruifeng Tan (谭瑞锋)

Biography

Hi! I am a third-year PhD student at the sustainable energy and environment thrust of The Hong Kong University of Science and Technology (Guangzhou) under the supervision of Prof. Tong-Yi Zhang, Prof. Jiaqiang Huang, and Prof. Jia Li. Previously, I obtained my B.Eng in computer science and technology from Wuhan University in 2022.

My current research interest lies in AI for batteries, especially battery degradation prediction (battery life prediction, batter degradation trajectory forecasting and state of health estimation) and intelligent battery optimization. More details can be found in my google scholar.

News

[Feb. 2025] I am going to make an oral presentation at 2025 MRS Spring Meeting & Exhibit.
[Feb. 2025] Released BatteryLife, the largest and most diverse battery life resource to date.
[Feb. 2025] Started my vising at CSE HKUST (Feb. 1st to Aug. 31st).
[Jan. 2025] One paper accepted by ICLR (Top-tier AI conference).
[Dec. 2024] One paper was accepted and selected as a cover paper by ACS Energy Letters (SCI Q1 Top).
[Aug. 2024] One paper accepted by Energy Storage Materials (SCI Q1 Top).
[Sep. 2022] I joined HKUST(GZ) as a PhD student in SEE thrust!
[Apr. 2022] One paper accepted by IJCNN 2022.

Publications

* denotes equal contribution

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. To appear in International Conference on Learning Representations (ICLR), 2025. [PAPER]
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. IJCNN, 2022. [PAPER]

Preprints

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. 2025 [ArXiv]