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HONGYU Wang 🔥

Biography

👋 Greetings! I'm Wang Hongyu, a fourth-year undergraduate student pursuing a degree in Information and Computing Science at Xi'an Jiaotong-Liverpool University in Suzhou, China.

My academic journey has been fueled by a curiosity for technology, leading me to explore various aspects of Information and Computing Science. I find particular excitement in the realms of Virtual Reality (VR), Augmented Reality (AR), Extended Reality (XR), and Game Development.

Beyond my studies, I harbor a keen interest in computer vision topics, including stable diffusion and nerf. I believe in the power of technology to shape innovative solutions and enhance our understanding of the world.

Currently, I am engaged as a research assistant at X-CHI Lab, XJTLU, working alongside Professor Hai-Ning Liang. This experience allows me to delve deeper into the fascinating intersection of academia and practical application.

Education

📚 09. 2020 - 06. 2024
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BSc in Information and Computing Science

School: Xi'an Jiaotong-Liverpool University

GPA: 3.89/4.00

📚 09. 2024 - ??. 20??
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Future

Resume

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Projects Experiences

Imperial Data Science Online Summer School

Date:
Jul.2022 – Aug.2022

Organization:
Imperial College London

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Brief:

  • Completed a 6-week online summer school program on data science and machine learning at Imperial College London
  • Utilized U-Net model to enhance brain tumor recognition and classification.
  • Preprocessed data using Albumentations library
  • Built and trained model using PyTorch
  • Evaluated model performance using dice and IoU metrics

Algorithmic biases in EDM(Education Data Mining)

Date:
Jul.2022 – Aug.2022

Organization:
North Carolina State University

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Brief:

  • Conducted experiments on multiple datasets with different distributions to explore the impact of data distribution on prediction results
  • Analyzed the influence of different data preprocessing methods and models’ selection on the accuracy and fairness for predicting the students’ learning outcomes
  • Compared different experiment results and evaluated methods to improve models or algorithms performance
  • Presented research findings on algorithmic biases in Educational Data Mining (EDM) at the judged poster presentation exhibit

2D Tower Defense Game "Cloud War"

Date:
Dec.2022 – Apr.2023

Organization:
Timi X Sanjiao Cup Game Jam

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Brief:

  • Implemented game interface using UGUI, a grid-based map using the GridLayout component, and object placement and fusion using mouse clicks and EventSystem.
  • Utilized collision detection, ray detection, and different LayerTag and Layer detection layers for bullet hit and enemy skill release.
  • Demo link: Link

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