WANG Ruoqi (王若琪)

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

Email: [email protected]
Email: [email protected]

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 reliable and efficient AI-for-Science methods for heterogeneous scientific and real-world data.

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

Research Interests

  • Foundation & Multimodal Models for Science: multimodal learning, vision–language models; cross-domain alignment
  • Trustworthy & Efficient Learning: robustness/generalization; domain adaptation; semi-/self-/weak supervision
  • Scientific & Physics-Guided ML: inverse problems; data reconstruction; physical priors; computational imaging
  • ML, LLM & AI Agent Applications: AI for science, healthcare, and industry

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

Spotlight_vd
  • Kai Cheng, Ruoqi Wang, Qiong Luo, "VVTRec: Radio Interferometric Reconstruction through Visual and Textual Modality Enrichment ", preprint arXiv:2601.06475, 2026.

    • Spotlight_vd
  • Ruoqi Wang, Haitao Wang, Shaojie Guo, Qiong Luo, "D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces", preprint arXiv:2511.11286, 2025.

    • Spotlight_vd
  • Ruoqi Wang, Haitao Wang, Qiong Luo, " GalaxAlign: Mimicking Citizen Scientists’ Multimodal Guidance for Galaxy Morphology Analysis ", Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM), pages 8636 - 8644, 2025.

    • Spotlight_vd
  • Ruoqi Wang, Haitao Wang, Qiong Luo, Feng Wang, Hejun Wu, "VisRec: A Semi-Supervised Approach to Radio Interferometric Data Reconstruction", Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Vol. 39. No. 1. 2025.

    • 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 (CVPR), 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 (ECAI), 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 (BIBM) , 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 (MICCAI) , pages 561–570, 2021

    • Interests

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