CV

Jingbiao Mei

jm2245@cam.ac.uk
Cambridge, , UK

Summary

PhD student at the Machine Intelligence Laboratory, University of Cambridge, supervised by Prof. Bill Byrne.

Education

  • Ph.D. at Machine Intelligence Laboratory
    2026-06-30
    University of Cambridge
  • M.Eng & B.A. in Information and Computer Engineering
    2022-06-30
    University of Cambridge

Work Experience

  • Multimodal Large Language Model Research Intern
    2025-03-01 -
    RedNote (Xiaohongshu)
    Developing techniques for harmful content detection, RLHF for MLLMs, and production deployment of GRPO and curriculum learning.
  • AI Strategy Research Intern
    2024-05-01 -
    Huawei Cambridge Research Centre (Institute of Strategic Research)
    Strategic AI research reports, co-organising workshops at ECCV/WWW/BMVC/ECAI/Eurographics, and academic outreach.
  • AI Research Intern
    2022-07-01 - 2023-01-31
    Huawei Cambridge Research Centre (Kirin AI Solution)
    On-device efficient streaming ASR, model compression, novel non-attention transformer architecture. Patent EP4404187A1.
  • Deep Learning Research Intern
    2021-06-01 - 2021-09-30
    University of Cambridge Department of Engineering
    Multimodal hateful speech detection systems using pretrained visual-language models and ensemble learning.
  • Deep Learning Research Intern
    2020-09-01 - 2020-12-31
    Shanghai Jiao Tong University
    Fault-tolerant neural network architectures for ReRAM devices. Published at DAC 2021, patent CN113570056A.
  • Web Programmer
    2019-07-01 - 2019-09-30
    Jieqi Edge Computing
    Web development with Jekyll, PCB diagnostics, 3D printing prototyping.