Xinyao Liao

I am a PhD student in Computer Science at the National University of Singapore, working with Prof. Angela Yao in the Computer Vision and Machine Learning (CVML) group. My research is on visual generative models and reinforcement learning — in particular autoregressive image and video generation, and methods that let models improve at inference time and through experience.

Before NUS, I studied Computer Science (Information Security) and Philosophy at Huazhong University of Science and Technology.

Interests
  • Visual generative models
  • Autoregressive generation
  • Reinforcement learning
  • Test-time adaptation
  • Continual and self-improving systems

News

  1. Started my PhD at NUS in Angela Yao's CVML group.

  2. Released VPG, a training-free guidance method for autoregressive image and video generation.

  3. VA-π accepted to CVPR 2026.

  4. reAR accepted to ICLR 2026.

Publications

  1. VPG: Visual Prefix Guidance for Autoregressive Image and Video Generation

    Xinyao Liao, Qiyuan He, Yicong Li, Jiayin Zhu, Xiaoye Qu, Wei Wei, Angela Yao

    arXiv 2026 paper project

  2. VA-π: Variational Policy Alignment for Pixel-Aware Autoregressive Generation

    Xinyao Liao*, Qiyuan He*, Kai Xu, Xiaoye Qu, Yicong Li, Wei Wei, Angela Yao

    CVPR 2026 paper project code

  3. reAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization

    Qiyuan He, Yicong Li, Haotian Ye, Jinghao Wang, Xinyao Liao, Pheng-Ann Heng, Stefano Ermon, James Zou, Angela Yao

    ICLR 2026 paper project code

  4. CoCA: Step-Level Reward for Free in RL-Based T2I Diffusion Fine-Tuning

    Xinyao Liao, Wei Wei, Xiaoye Qu, Qiyuan He, Angela Yao, Yu Cheng

    WACV 2027 paper code

* Equal contribution.

Elsewhere

Outside research I read, listen to music, climb, and build small things. I write occasionally on the blog and keep notes on films I've watched.