Xiaolong Li

Xiaolong Li

Harbin Institute of Technology Undergrad ‘22

Harbin Institute of Technology

He has recently been focusing on sparse attention and quantization techniques in Diffusion Transformers (DiT) to enable efficient, high-quality generative models.

Interests
  • Video Generation
Education
  • B.Eng. in Artificial Intelligence, 2026

    Harbin Institute of Technology

  • Exchange Student, 2024

    Seoul National University