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portfolio
Portfolio item number 2
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publications
Mind the Gap: Multi-Level Unsupervised Domain Adaptation for Cross-scene Hyperspectral Image Classification
Published in Journal 1, 2024
This paper is about transfer learning.
Recommended citation: Mingshuo Cai, Bobo Xi. (2024). "Mind the Gap: Multi-Level Unsupervised Domain Adaptation for Cross-scene Hyperspectral Image Classification" TGRS. https://cfcys.github.io/paper/MLUDA.html
🤖nanoGPT-Tutorial-CN
Published in Journal 1, 2024
This project is a tutorial about GPT.
Recommended citation: Mingshuo Cai. (2024). "An Open-sourced Chinese Tutorial fo nanoGPT" Github. https://github.com/cfcys/nanoGPT-Tutorial-CN
talks
The Second Price of National Undergraduate Mathmatical Contest
Published:
I participated in the 2022 years National Undergraduate Mathmatical Contest, and finally was awarded as the Second Price.
The First Prize in the College Student Statistical Modeling Competition
Published:
I participated in the 2023 years National College Student Statistical Modeling Competition, and finally was awarded as the Second Price.
Honorable Mention in COMAP MCM/ICM 2023
Published:
I participated in the 2023 years COMAP MCM/ICM Competition, and finally was awarded as Honorable Mention.
The First Price of National Undergraduate Mathmatical Modeling Contest(2022)
Published:
I participated in the 2022 year’s National Undergraduate Mathmatical Modeling Contest, chose the topic of C, and finally was awarded as the First Price.
The Second Price of National Undergraduate Mathmatical Modeling Contest(2023)
Published:
I participated in the 2023 year’s National Undergraduate Mathmatical Modeling Contest, chose the topic of C, and finally was awarded as the First Price.
teaching
Study experience in Xidian
Undergraduate, Senior in Intelligent Science and Technology, School of Artificial Intelligence, Xidian University, 2023
I’m a third year undergraduate student from School of Artifical Intelligence, Xidian University. My research interest includes computer vision, remote sensing image processing, and the interpretability of AI Security.