Hey there! I am Liam!
CS Undergraduate
Sport lover | Computer gaming enthusiast
Someone who writes code | AIGCer

Brief


   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.

Education


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.

Research


NEU Data Mining Group

2022.10 ~ 2022.04

Field of Research:

  • Multimodal Sentiment Analysis
  • Large Empathic Dialogue Model

Participating Work:

  • PICA: Unleashing The Emotional Power of Large Language Model


FDU Data Intelligence and Social Computing Lab

2023.02 - Now

Field of Research:

  • Large Vision Language Model Benchmark
  • Large Empathic Dialogue Model Interpretability Research

Participating Work:

  • ReForm-Eval: Evaluating large vision language models via unified re-formulation of task-oriented benckmarks
  • Multimodal large model probe based on LLaVA(Ongoing)


SYSU Human Cyber Physical Intelligence Integration Lab

2023.10 - Now (Maybe I am in)

Field of Research:

  • Long Video Genearation based on LaVie(Ongoing)

Participating Work:

Continually updated

Project


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

  • Fine-tune BERT model on SST2 data set to implement text classification
  • Fine-tune the ViT model on the Food101 dataset for image classification
  • Fine-tune the Wav2Vec model on the MInDS-14 dataset for audio classification

Kaggle

  • Sentiment Analysis on Movie Review (link)

    Fine-grained sentiment classification of film review data

  • Natrual Language Processing with Disaster Tweets (link)

    Dichotomies predict whether a tweet is about a real disaster

  • Google AI4Code - Understand Code in Python Notebooks (link)

    Sort markdown cells according to the code cell order in the json file of the Jupyter notebook

Natural Language Processing (code)

  • Spelling Correction

    Based on Bayesian probability formula and Markov chain

  • Word Embedding

    Word vector calculation based on Skip-Gram or CBOW

  • Fine-Grained Text Classification

    Linear regression classification, dataset, gradient descent, etc. based on numpy

  • Fine-Grained Text Classification

    Use the pytorch framework to implement classification using TextCNN or RNN series models

Cross-Visual Language Multimodal

  • Image and text retrieval system (code)

    Based on the dual-tower architecture , use GRU model, ResNet model, and other transformer architecture pre-training models to try to improve

  • ReForm-Eval (code)

    Evaluating large vision language models via unified re-formulation of task-oriented benckmarks. Participated during internship in FDU-DISC laboratory

Front-End Development

Competition


Program Development

Commercial Competition

Mathematical Modeling

During my undergraduate period, I participated in various competitions and achieved some results, Here I present several of the more prominent ones.