Ruifeng Tan
Postdoctoral Fellow, The Hong Kong University of Science and Technology
I am an incoming postdoctoral fellow in Prof. Tianlong Zhang's group at The Hong Kong University of Science and Technology. I received my PhD in Sustainable Energy and Environment from 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 received my B.Eng. in Computer Science and Technology from Wuhan University in 2022.
My research focuses on materials informatics, especially battery degradation prediction—including battery life prediction, degradation trajectory forecasting, and state-of-health estimation—and AI-driven materials optimization. I have contributed to or advised open-source projects including Time-Series-Library, BatteryML, BatteryLife, and Bgolearn.
I also serve as a reviewer for KDD, Applied Energy, IEEE Transactions on Industrial Electronics, Journal of Power Sources, and Journal of Energy Storage.
Education
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The Hong Kong University of Science and Technology PhD, Sustainable Energy and Environment Advisors: Prof. Tong-Yi Zhang, Prof. Jiaqiang Huang, and Prof. Jia LiGuangzhou Campus, SEE Thrust Sep. 2022 – Aug. 2026Hong Kong Campus, CSE Department Feb. 2025 – Aug. 2025 -
Wuhan UniversityB.Eng., Computer Science and Technology Aug. 2018 – Jul. 2022Advisor: Prof. Yuanyuan Zhu
Experience
- The Hong Kong University of Science and TechnologyPostdoctoral Fellow, MAE Department Sep. 2026 – PresentProf. Tianlong Zhang's group
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The Chinese University of Hong KongResearch Assistant, SEEM Department Jun. 2021 – Aug. 2021Prof. Jeffrey Xu Yu's group
Honors & Awards
- High-Level Academic Presentation, China Materials Conference (CMC) 2026
- Best Poster Award, 3rd International AI4Materials Forum 2026
- National Second Prize, China Software Cup College Student Software Design Competition 2020
News
Successfully passed my PhD defense.
Gave an invited talk at China Materials Conference 2026-FB06.
BatteryMFormer was accepted by KDD 2026.
PBT won the Best Poster Award at the 3rd International AI4Materials Forum.
Released PBT, a transferable foundation model for battery life prediction.
Returned to HKUST(GZ) after cross-campus study.
BatteryLife was accepted by KDD 2025.
Gave an oral presentation at the 2025 MRS Spring Meeting & Exhibit.
Released BatteryLife, the largest and most diverse battery life resource to date.
One paper was accepted by ICLR 2025.
One paper was accepted and selected as a cover paper by ACS Energy Letters.
One paper was accepted by Energy Storage Materials.
Joined HKUST(GZ) as a PhD student in the SEE Thrust.
