😎About Me
00 分钟
2024-4-19
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Hello there!
My name is Weida Wang (zh: 王蔚达), and I also go by David. I am currently a third-year student in the School of Software Engineering at Tongji University. As a developer and researcher, my main research areas are Graph-Based Machine Learning, 3D Vision and AI4Science. During my school years I have extensive research experience. I have interned as research assistant in Graphical Signal Processing Lab at Tongji University,worked with AP.Zeng, MIT Media Lab's City Science Lab@Shanghai, and Intelligent Internet of Things Research Center (IIOT) at Shanghai Jiao Tong University under the guidance of AP.Zheng. At the same time, I am also doing an open-source internship in the Huawei MindSpore community. As for student activities,I am the vice president of the Google Camp in Tongji University, a member of the Tongji University Outstanding Science and Innovation Talent - Youth Enlightenment Program, and the team leader of Tongji-Software.
Please feel free to send me an email if you are interested in collaborating or simply having a chat about science reasearch!

CV 👨🏻‍💻

Interests and Domains 💡

  • Graph-Based Machine Learning: graph learning, spatial-temporal mining, explanability, graph generation
  • 3D Vision: Time-of-Flight depth refinement, VR&AR
  • AI4Science: cognitive, MedAI

Publication and Working Papers 📰

  1. Zhenghao Liu, Weida Wang, et al. Seismic source of rock drill and its application in in-situ vibration monitoring of rock mass.  In Proceedings of the GeoShanghai 2024, Shanghai, China.
  1. Weida Wang, Jin Zeng et al., et al. Consistent ToF depth denoising via cross-frame attention. Under Reviewed by Signal Processing Letters.
  1. Jianping Zhou, Weida Wang#, et al. Inductive spatio-temporal kriging imputation method.
  1. Zhenghao Liu, Weida Wang, et al. DNN-GA-RF prediction model for rock strength indicators based on sound level and drilling parameters. Under Reviewed by Computers and Geotechnics (JCR Q1).
  • a New Type of Image Recognition Camera. Utility Patent, Patented, First author. (CN 218494645 U)

Technical Skills 🛠️

  • Data Analysis and Visualization: Python, C/C++, MATLAB, SQL
  • Front-end Web Page Development: Vue, HTML, CSS, JavaScript
  • Design and Modeling: Unity3D, Blender, Figma, Adobe PS
  • Machine Learning: PyTorch, scikit-learn, MMCV
  • Tools: Git, Docker, Postman, Linux
  • Office Softwares: PPT, Word, Excel, WPS, Latex

Rearch Experience 👨🏻‍🔬

Pratical Experience 👨🏻‍💻

Honors 🏅

  • National Scholarship, 2023
  • Tongji University First-Class Scholarship, 2022
  • Outstanding Students of Tongji University (5%), 2022/2023
  • Hundsun Financial Technology Engineer Certification (HSFT), 2023

Awards 🏆

College Life Record 🎞️

 

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