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woldier/README.md

πŸ‘‹ Hello, World!

I'm Bin Wang (ηŽ‹ζ–Œ), a passionate computer science researcher

and a developer with a deep focus on

Generative AI and Computer Vision.

I'm driven by the impact of technology, especially in the fields of

Remote Sensing, Medical Image and Signal Processing.

I'm fascinated by the power of AI and its ability to transform industries.

My goal is to leverage these technologies to solve complex problems in Remote Sensing, Medical Imaging, and beyond.

  • 🏠 π‘·π’“π’π’‡π’Šπ’π’† β€” Check out my personal website for more information.
  • πŸ“§ π‘…π‘’π‘Žπ‘β„Ž π‘šπ‘’ π‘Žπ‘‘ @Mail β€” Feel free to get in touch!
  • 🏫 𝑆𝑑𝑒𝑑𝑒𝑛𝑑 π‘œπ‘“ SCU β€” Currently foucusing Domain Adaptation at SCU.
  • πŸ‘¨β€πŸ’» π‘Ύπ’π’“π’Œ 𝒉𝒂𝒓𝒅 𝒕𝒐 𝒃𝒆 𝒂 π’ˆπ’π’π’… 𝒇𝒓𝒐𝒏𝒕𝒆𝒏𝒅 𝒅𝒆𝒗𝒆𝒍𝒐𝒑𝒆𝒓

Feel free to check out some of my research work: Publications.

πŸ‘©β€πŸŽ“ Education

I am a Ph.D student at the College of Computer Science, Sichuan University, supervised by Yiguang Liu.

Before that, I earned my Bachelor's and Master's Degrees in Computer Science from the Chengdu University of Technology.

  • Ph.D in Computer Science and Technology (2025.09 - Present), College of Computer Science, Sichuan University.

  • MS in Computer Science and Technology (2022.06 - 2025.06), College of Computer Science and Cyber Security,

    Chengdu University of Technology, supervised by Fei Deng.

  • BS in Computer Science and Technology (2018.09-2022.06), College of Computer Science and Cyber Security,

    Chengdu University of Technology, supervised by Fei Deng.

πŸ† Awards

  • National Scholarships (Top 2), Ministry of Education, China, 2024.10
  • Scholarships for postgraduate studies (Top 3), Ministry of Education, China, 2024.10

πŸ›  Skills Highlights

  • Medical Image Processing, such as Reconstruction
  • Remote Sensing Image Processing, such as Semantic Segmentation
  • Signal processing techniques (Experience in TEM, EEG, etc.)

πŸ”­ Research interest

I'm currently working on:

  • Computer Vision and its wide applications, with an emphasis on the medical and remote sensing imaging fields
  • Robust Complex Digital Signal Processing with Machine Learning, such as TEM and EEG signals
  • Unsupervised Domain Adaptation for Semantic Segmentation

πŸ“« Welcome everyone to engage with me, my email address is woldier@foxmail.com

Pinned Loading

  1. TEMSGnet TEMSGnet Public

    [TGRS] Semi-Airborne Transient Electromagnetic Denoising Through Variation Diffusion Model

    Python 6 1

  2. SiamSeg SiamSeg Public

    [Official Repo] SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote Sensing

    Python 13 3

  3. pro-sfda pro-sfda Public

    [ICASSPβ€˜26] Prototype-Based Pseudo-Label Denoising for Source-Free Domain Adaptation in Remote Sensing Semantic Segmentation

    3

  4. Bridge Bridge Public

    [TGRS] Bridge: Leveraging Vision Foundation Models for Efficient Cross-Domain Remote Sensing Segmentation

    Python 1

  5. Geoad Geoad Public

    [Official Repo] Geoad: Towards Geospatial Foundation Models via Efficient Continual Pre-Training

    1

  6. EntSeg EntSeg Public

    [Official Repo] EntSeg: Entropy-Guided Pseudo Label Denoising and Masked Image Consistency for Cross-Domain Remote Sensing Segmentation

    1