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Ryan, Yuanhuiyi LYU

Ph.D. Student
The Hong Kong University of Science and Technology
ryan.lyu.mail@gmail.com


About Me

Hi! I’m (Ryan) Yuanhuiyi Lyu, a Ph.D. student in Artificial Intelligence at The Hong Kong University of Science and Technology (Guangzhou). I am fortunate to be advised by Prof. Xuming Hu, Prof. Linfeng Zhang @ SJTU, and Prof. Ying-Cong Chen. I am currently a research intern at InclusionAI, Ant Group, where I work on pre-training for multimodal LLM. Previously, I obtained my B.ENG in Artificial Intelligence from Northeastern University, advised by Prof. Zhenghao Liu

Currently, I focus on:

Selected Publications

    Please refer to my Google Scholar for a full paper list.
  1. Multimodal Learning & Reasoning
    Understanding-in-Generation: Reinforcing Generative Capability of Unified Model via Infusing Understanding into Generation
    Yuanhuiyi Lyu, Chi-Kit Wong, Chenfei Liao, Lutao Jiang, Xu Zheng, Zexin Lu, Linfeng Zhang, Xuming Hu
    arXiv (arXiv), 2025.
    Code PDF
  2. Visual Generation
    RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning
    Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu
    Forty-Second International Conference on Machine Learning(ICML), 2025.
    Homepage PDF
  3. Multimodal Learning & Reasoning
    UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
    Yuanhuiyi Lyu, Xu Zheng, Jiazhou Zhou, Lin Wang
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
    Code PDF
  4. Visual Generation
    Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation
    Yuanhuiyi Lyu, Xu Zheng, Lin Wang
    arXiv (arXiv), 2024.
    Homepage PDF
  5. Multimodal Learning & Reasoning
    Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities
    Xu Zheng, Yuanhuiyi Lyu, Lin Wang
    The European Conference on Computer Vision (ECCV), Oral, 2024.
    Homepage PDF
  6. Multimodal Learning & Reasoning
    Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval
    Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu
    The Eleventh International Conference on Learning Representations (ICLR), 2023.
    Code PDF

Honors and Awards

Internships

Education

Ph.D. in Artificial Intelligence
The Hong Kong University of Science and Technology (Guangzhou)
2024 – Present
B.ENG in Artificial Intelligence
Northeastern University (Shenyang)
2019 – 2023

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