Me
Xinyu FU
School of Biomedical Sciences and Engineering
South China University of Technology
xinyufu431 [at] gmail.com

About

I am a third-year undergraduate student major in biomedical engineering at South China University of Technology with a profound passion for applying AI method to medical research, aspiring to make contributions to human health. Currently, I am working as a visiting scholar in Southern University of Science and Technology, under the supervision of Prof.Quanying Liu, where I focus on finetune method for large brain models and multi-dataset joint pretraining. Before, I am working under the supervision of Prof.Yanwu Xu and Prof.Lin Shu.

My primary research interest are AI4Neuroscience, brain-computer interface and Computational Neuroscience. Always eager to look for visiting research intern or research assistant position. Planning to pursue Ph.D position in the near future. If you are interested to chat with me, feel free to drop me an email.

Education

Visiting Student
Southern University of Science and Technology, School of Biomedical Engineering
  • Advisor: Quanying Liu
  • Neural Computing & Control Lab
  • 2025.09 - 2026.09
Bachelor of Engineering (B.Sc)
South China University of Technology
  • Major: Biomedical Engineering, GPA: 3.89/4.00, Top 10%
  • 2023.09 - 2027.08
  • First Prize Scholarship of School, Merit Student of School

News

  • Give a talk on "Academic Development for New Students" at SCUT, Guangzhou. See [here]
  • 🎉🎉Honored to be awarded the First Class (1%) Scholarship, the highest scholarship awarded by SCUT.
  • 🎉🎉Awarded third prize in Contemporary Undergraduate Mathematical Contest in Modeling, Guangdong Province.
  • Participated in MICCAI 2025 and give a talk about my OMIA paper, Dajeon, South Korea. Check it out [here]
  • Joined Neural Computing & Control Lab as a visiting student.
  • Awarded the first prize of Shenzhen Cup Mathematical Modeling Competition, making it to the final, Guangdong Province. See you in Shenzhen BIT-MSU University!🎉🎉
  • Awarded third prize in 10TH International Biomedical Engineering Innovation Design Competition. Check it out [here]
  • One paper accepted to 12th MICCAl Workshop on Ophthalmic Medical lmage Analysis. See you in Dajeon!🎉🎉
  • 🎉🎉One patent is granted. See the details here.
  • 🎉🎉Awarded first prize in Contemporary Undergraduate Mathematical Contest in Modeling, Guangdong Province.

Experiences

Sep, 2025 - Now
Visiting Student @ NCC Lab, SUSTech
Supervisor: Prof. Quanying Liu
Nov, 2024 - July, 2025
Research Student @ MRII Lab, SCUT
Supervisor: Dr. Lin Shu
Mar, 2024 - July, 2025
Research Student @ HDMI Lab, SCUT
Supervisor: Dr. Yanwu Xu and Dr. Huihui Fang
Dec, 2023 - July, 2024
Research Student @ MINI Lab, SCUT
Supervisor: Dr. Kai Wu

Publications ( / )

Dataset, Baseline and Evaluation Design for Gave Challenge
Zhiwei Liu, Huihui Fang, Shandi Liu, Ping Zhang, Wenquan Xi, Changjian Wu, Zihao Zhong, Xinyu Fu, Yanwu Xu, et al.
12th MICCAl Workshop on Ophthalmic Medical lmage Analysis
[Paper] [Website]
Patent Thumbnail
Anterior segment parameter measurement method and device, electronic device, and storage medium
Weihua Yang, Jingfeng Mou, Changfeng Pan, Jia Liu, Qifan Yang, Xinyu Fu, Ping Guo, Huihui Fang, Yanwu Xu
Chinese Invention Patent, CN119107380A, 2025 (Granted)
[PDF] [Patent Link]
Patent Thumbnail
Preparation method and application of bismuth ion chelated ultrasmall gold nanoparticles cleared by kidneys
Xiang Li, Hanmiao Yu, Xinyu Fu, Bujie Du, Xingya Jiang
Chinese Invention Patent, CN120022387A, 2025 (Public)
[PDF] [Patent Link]

GitHub

WorldVLA: Towards Autoregressive Action World Model.
Python
Star   – Fork   –
Generative Artificial Intelligence in Robotic Manipulation: A Survey.
Markdown
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SegmentAnyRGBD.
Python
Star  – Fork  –
[NeurIPS 2023] 4D Panoptic Scene Graph Generation.
Python
Star  – Fork  –
[NeurIPS 2023] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models.
Python
Star  – Fork  –
[RA-L 2023] CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic Segmentation.
Python
Star  – Fork  –
[CVPR 2023] Enlarge Instance-specific and Class-specific Information for Open-set Action Recognition.
Python
Star  – Fork  –
[ICLR 2023] The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition.
Python
Star  – Fork  –
[ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds.
Python
Star  – Fork  –
[ICCV 2021] Deep Metric Learning for Open World Semantic Segmentation.
Python
Star  – Fork  –

Selected Honors & Awards

Academic Services

Conference Reviewer:
Conference on Computer Vision and Pattern Recognition (CVPR)
International Conference on Computer Vision (ICCV)
European Conference on Computer Vision (ECCV)
Conference on Neural Information Processing Systems (NeurIPS)
International Conference on Learning Representations (ICLR)
International Conference on Machine Learning (ICML)
International Conference on Robotics and Automation (ICRA)
International Conference on Intelligent Robots and Systems (IROS)
Journal Reviewer:
International Journal of Computer Vision (IJCV)
Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Transactions on Neural Networks and Learning Systems (TNNLS)
Transactions on Circuits and Systems for Video Technology (TCSVT)
Transactions on Multimedia (TMM)
Robotics and Automation Letters (RA-L)
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