Qiushi Nie 🤗
Hi there, welcome!
I’m Qiushi Nie (聂秋实), currently a PhD student at Harbin Institute of Technology (Shenzhen) under the supervision of Ting Ma. Previously, I was in the iMED research group supervised by Jiang Liu in Southern University of Science and Technology (SUSTech) . I received my B.Eng. in Computer Science and Technology and M.Eng. in Electronic Science and Technology both from SUSTech.
My research goal is to develop deep learning algorithms that can be applied to medical images and signals to assist doctors in diagnosis and surgical planning and benefit people’s health.
News 🔥
- [2025/8/31] I started my PhD journey at HITsz! Wish me good luck~
- [2025/2/18] Our textbook Artificial Intelligence Multimedia Computing has been published. I’m the 3rd author!
- [2024/12/26] My paper Reparameterized Multi-scale Transformer for Deformable Retinal Image Registration is available online. Paper link here.
Research Interests 💻
- Medical Image Analysis, Computational Neuroscience
Education 🏛
- Harbin Institute of Technology (Shenzhen), Shenzhen, China (09/2025 - )
- PhD student of Biomedical Engineering
- Advisor: Ting Ma
- Southern University of Science and Technology, Shenzhen, China (09/2022 - 06/2025)
- M.S. in Electronic Science and Technology
- GPA: 3.68/4.0
- Advisor: Jiang Liu
- Southern University of Science and Technology, Shenzhen, China (09/2018 - 06/2022)
- B.Eng. in Computer Science and Technology
- GPA: 3.86/4.0 (ranking ~5%)
- Advisor: Jiang Liu
Selected Publications 📃
[1] Nie, Q., Zhang, X., Hu, Y. et al. Medical image registration and its application in retinal images: a review. Vis. Comput. Ind. Biomed. Art 7, 21 (2024). https://doi.org/10.1186/s42492-024-00173-8 (Accepted)
[2] Nie, Q., Zhang, X., Chen, C. et al. Reparameterized multi-scale transformer for deformable retinal image registration. Mach. Intell. Res. (2024). https://www.mi-research.net/article/doi/10.1007/s11633-024-1525-1 (GitHub) (Accepted)
[3] Zhang, X., Nie, Q., Xiao, Z., et al. Dual-view pyramid pooling in deep neural networks for improved medical image classification and confidence calibration. (2024) (Under Review, arXiv preprint available: https://arxiv.org/abs/2408.02906)
[4] Liu, J., Nie, Q., Wang, X., et al. Exploration of weakly supervised learning pedagogy in the context of generative artificial intelligence. Computer Education. (2025).
[5] Liu, J., Li S., Nie, Q., Zhang, X. 人工智能多媒体计算(Artificial Intelligence Multimedia Computing) (2025) ISBN 978-7-115-66170-8 (Chinese Textbook)
Honors & Awards 🏆
- [2019, 2020] The second prize of outstanding student scholarship in SUSTech
- [2021] The first prize of outstanding student scholarship in SUSTech
- [2022] The Outstanding Graduates Prize in the Department of Computer Science and Engineering, SUSTech
- [2022] The Top Ten Graduates Nomination Award in SUSTech
- [2023, 2024] The Star of iMED Award (for those who contributed most in my research group iMED)
- [2021- 2023] The Outstanding Teaching Assistant in SUSTech
Highlights
Remarkably, I was teaching Java in SUSTech as a tutor and gained many compliments and support. Until now, nearly 1,600+ students (40% of total undergraduates) in SUSTech have taken my classes. And I’m enjoying teaching and helping noobs with fixing their bugs.
Hobbies
Beyond academics, I have a wide range of interests. I enjoy singing and sometimes rap. I have performed on many big stages (though they weren’t actually that big, haha).
Recently, I’ve become fascinated with board games, particularly strategy ones like Ark Nova, for their strategic depth and requirement for long-term planning and rational competition.
Last Updated on: Sept. 12th, 2025