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  • China

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Canyizl/README.md

Hi there 👋 My name is Xu Feiyang (徐飞扬). ✨

  • 🚲 Interned at ByteDance, responsible for the optimization of fine-ranking models; at NetEase, conducted research on user behavior LLMs.
  • ✨ My research interests include : Reinforcement Learning and Multi-Modal Diffusion Model.
  • 📖 I received my M.S. degree from Zhejiang University in March 2026, advised by Doc. Shunyu Liu and Prof. Mingli Song. I received my B.Sc Degree from Hohai University in June 2023.
  • 🥳 I am interested in collaborating on Game+AI / Game design. Please feel free to contact me via email (xufeiyang_c@qq.com).

[Google Scholar]

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  1. TPA-for-AVC TPA-for-AVC Public

    [SIGKDD' 24] PyTorch implementation of Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks

    Python 14 1

  2. MGCN-for-Multilabel-Image MGCN-for-Multilabel-Image Public

    [Neural Computing and Applications' 21] PyTorch implementation of M-GCN: Brain-inspired Memory Graph Convolutional Network for Multi-Label Image Recognition

    Python 8

  3. DIR-for-Video-Captioning DIR-for-Video-Captioning Public

    [International Journal of Machine Learning and Cybernetics' 23]PyTorch implementation of “Brain-inspired learning to Deeper Inductive Reasoning for Video Captioning“

    Python 2

  4. PPA-for-CDR PPA-for-CDR Public

    [CIKM' 24] PyTorch implementation of Preference Prototype-Aware Learning for Universal Cross-Domain Recommendation

    Python 3 2

  5. Videos_for_GameandAI_papers Videos_for_GameandAI_papers Public

    Presonal Videos for some papers related to Games design based on AI models.

    1

  6. Unity_VNcase Unity_VNcase Public

    Unity implementation of a Visual Novel game framework.

    C# 3