Chengxing Zhou
  20206780@stu.neu.edu.cn
  (+86) 134 5817 2455
   ChongQing / SiChuan
  github.com/xiningin
 7小时的萌薪
Here is some personal information about me. I am an undergraduate student majoring in computer science from Sichuan/Chongqing. I usually have the habit of playing games. The above is my Steam account. Recently, I am more interested in horror games and soul-like games. In terms of my research, I have been exposed to the fields of 'Image Text Multimodal' and 'Generative Model', etc. The radar map shows my relative familiarity with each direction.
Northeast University(NEU), ShenYang, China
2020.09 - 2024.06, Undergraduate, Software Engineering
Sun Yat-sen University(SYSU), Kwangtung, China
2024.09 - XXXX.XX, Master, Computer Science
I study in the College of Software Engineering of Northeastern University as an undergraduate student. In the summer of 2023, I participated in the summer camp of the College of Computer Science of Sun Yat-sen University (exempted from entrance examination and admission) and became an excellent camper. Finally, on September 29, 2023, I decided to study for a master's degree in the College of Computer Science at Sun Yat-sen University.
I won some honors during my undergraduate study. The picture shows some of the more beautiful awards. Tens of thousands of scholarships, hhhhh.
2022.10 ~ 2022.04
Field of Research:
Participating Work:
2023.02 - Now
Field of Research:
Participating Work:
2023.10 - Now (Maybe I am in)
Field of Research:
Participating Work:
My project experience so far has focused on natural language processing, cross-visual language multimodal areas, and some front-end development. Most of them are uploaded to my github repository, welcome to visit.
Huggingface
Kaggle
Fine-grained sentiment classification of film review data
Dichotomies predict whether a tweet is about a real disaster
Sort markdown cells according to the code cell order in the json file of the Jupyter notebook
Natural Language Processing (code)
Based on Bayesian probability formula and Markov chain
Word vector calculation based on Skip-Gram or CBOW
Linear regression classification, dataset, gradient descent, etc. based on numpy
Use the pytorch framework to implement classification using TextCNN or RNN series models
Cross-Visual Language Multimodal
Based on the dual-tower architecture , use GRU model, ResNet model, and other transformer architecture pre-training models to try to improve
Evaluating large vision language models via unified re-formulation of task-oriented benckmarks. Participated during internship in FDU-DISC laboratory
Front-End Development