Dayou Du

Dayou Du

Phd of Computer Architecture

University of Edinburgh

Biography

My name is Dayou Du (杜大猷). I am currently a second-year PhD student in Computer Science at the University of Edinburgh, advised by Dr. Jianyi Cheng and Dr. Luo Mai. Previously, I earned my MPhil degree from HKUST(GZ), where I was advised by Prof. Xiaowen Chu, and my B.Eng. from South China University of Technology. During the summers of 2023 and 2024, I interned at Microsoft Research Asia, working with Shijie Cao.

Interests
  • Efficient Deep Learning Systems
  • Hardware Accelerators
Education
  • Phd in Computing Systems Architecture, 2025

    The University of Edinburgh

  • MPhil in Data Science and Analytics, 2022

    The Hong Kong University of Science and Technology

  • BE in Intelligent Science and Technology, 2018

    South China University of Technology

News

  • Joined Tencent Hunyuan as an Intern!

    I am honored to join Tencent Hunyuan and to have been selected for Tencent’s Qingyun Talent Program.
  • BitDecoding is accepted by HPCA 2026!

    Our paper “BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV Cache! See you in Sydney!
  • Two paper are accepted by NeurIPS 2025!

    Our paper “Seerattention: Learning intrinsic sparse attention in your llms.” and “MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems” have been accepted to NeurIPS 2025. Congratulations!
  • Get PhD Offer!

    I am honored to receive a PhD offer from the School of Informatics at the University of Edinburgh, supported by ARIA funding! I will begin the program in January 2025 and look forward to this exciting new chapter.
  • BitDistiller is Accepted by ACL 2024!

    Our paper “BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation” has been accepted to ACL 2024 main conference! See you in Thailand!

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Experience

 
 
 
 
 
Intern
June 2026 – Present Shenzhen, London
AI infrastructure for Hunyuan.
 
 
 
 
 
Research Intern
July 2024 – March 2025 Beijing
Research on long-context LLMs inference.
 
 
 
 
 
Research Intern
July 2023 – December 2023 Beijing
Research on model quantization of LLMs.
 
 
 
 
 
Engineering Intern
June 2021 – October 2021 GuangZhou
Designed a framework for Nature Language Understanding tasks.