Kexue Fu is an associate professor at Shandong Computer Science Center (National Supercomputer Center in Jinan) 
in Qilu University of Technology (Shandong Academy of Sciences), CCF Digital Medicine Subcommittee Executive Committee Member. He is now working on Embodied AI, 3DV and Medical LMs. If you are seeking any form of academic cooperation, please feel free to email kexue at [email protected]. He is hiring interns!
Kexue received his Ph.D. (2018-2023) from Fudan University / Shanghai Key Lab of Medical Image Computing and Computer Assisted Intervention, advised by Prof. Manning Wang. He is fortunate to have internships at Shanghai AILab 
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His research interests include Embodied AI, Machine Vision, and Medical Large Models. He has published 30+ papers 
His works include RGM, FAST, POS-BERT, and PointMBF.
- Personal Pages: https://fukexue.github.io (updated recently🔥)
- Google Scholar: https://scholar.google.com/citations?user=wRs-_DwAAAAJ
- DBLP: https://dblp.org/pid/287/4634.html
- [2024-09] 🎉 1 paper accepted to NeurIPS 2024.
- [2024-06] 🎉 1 paper accepted to CVPR 2024.
- [2023-12] 🎉 1 paper accepted to AAAI 2024.
- [2023-11] 🎉 1 paper accepted to Bioinformatics.
- [2023-11] 🎉 1 paper accepted to Elsevier ESWA.
- [2023-10] 🎉 1 paper accepted to ACM MM 2023.
- [2023-07] 🎉 1 paper accepted to ICCV 2023.
- [2023-06] 🎉 1 paper accepted to IEEE TCSVT.
My full paper list is shown at my personal homepage.
CVPR 2021Robust Point Cloud Registration Framework Based on Deep Graph Matching, Kexue Fu, Shaolei Liu, Xiaoyuan Luo, Manning Wang.
NeurIPS 2024FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification, Kexue Fu, Xiaoyuan Luo, Longxiang Gao, Manning Wang, et al.