WANG Ruoqi (王若琪)

PhD Student
The Hong Kong University of Science and Technology (Guangzhou)
Guangzhou, China

Email: rqwangrq@gmail.com
Email: rwang280@connect.hkust-gz.edu.cn

Biography

I am a PhD candidate in Data Science and Analytics at The Hong Kong University of Science and Technology (GZ), advised by Prof. LUO Qiong. I received my B.Eng degree in Sun Yat-sen University in 2022, advised by Prof. WU Hejun. Recently I am working on AI for astronomy.

I’m actively seeking postdoctoral opportunities starting Summer 2026. If my work aligns with your lab, I’d love to connect.

Education

The Hong Kong University of Science and Technology (Guangzhou),     PhD student.       [Sep. 2022 ~ ]
  • Program: Data Science and Analytics
Sun Yat-sen University (SYSU),     B.Eng.       [Sep. 2018 ~ Jun. 2022]
  • Major: Computer Science and Technology, School of Computer Science and Engineering.

Research Projects



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  • Ruoqi Wang, Haitao Wang, Qiong Luo, Feng Wang, Hejun Wu, "VisRec: A Semi-Supervised Approach to Radio Interferometric Data Reconstruction", AAAI 2025 accepted.

  • Spotlight_vd
  • Ruoqi Wang, Zhuoyang Chen, Jiayi Zhu, Qiong Luo, Feng Wang, "PolarRec: Radio Interferometric Data Reconstruction with Polar Coordinate Representation", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, page 12841-12850, 2024.

  • Spotlight_vd
  • Ruoqi Wang, Zhuoyang Chen, Qiong Luo, Feng Wang, "A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction", 26th European Conference on Artificial Intelligence , page 2499-2506, 2023, oral

  • Spotlight_vd
  • Ruoqi Wang, Ziwang Huang, Haitao Wang, Hejun Wu, "AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data", IEEE International Conference on Bioinformatics and Biomedicine , pages 757-760, 2021

  • Spotlight_vd
  • Ziwang Huang, Hua Chai, Ruoqi Wang, Haitao Wang, Yuedong Yang and Hejun Wu, "Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images", International Conference on Medical Image Computing and Computer-Assisted Intervention , pages 561–570, 2021

  • Interests

    I love tennis 🎾!
    As well as reading 📖 and traveling.
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