Yuqi Zuo(左宇祺) | Personal Webpage

Hi! I'm a master student in Nanyang Technological University, working on foundation models.

Currently I'm working on the following directions:

LLM PostTraining Data: SFT data, RLHF/RLAIF data, CoT/Distillation data, RAG data, Synthesis data.
LLM PreTraining Data: Scaling Laws, Data Mixing Laws.
Efficient LLM: Quantization, Compression of LLM.

I received my Bachelor degree in Computer Science and Technology in UESTC, from the UESTC honor class.

[9/2025] Join Huawei 2012 Theory Lab as Researcher.
[10/2024] Join Microsoft Research & Ads as Intern, focus on Information Retrieval for Ads and Language Models.
[11/2023] Win the Silver Award from Kaggle Competition.
[3/2023] Our paper is accepted to IEEE International Conference on Smart Mobility 2023, Congrats to Aymen: "V3Trans-Crowd: A Video-based Visual Transformer for Crowd Management Monitoring".

Full publications on Google Scholar.
^E indicates authors with equal contribution.

V3Trans-Crowd: A Video-based Visual Transformer for Crowd Management Monitoring

Yuqi Zuo, Aymen Hamrouni, Hakim Ghazzai

in Proceedings of the 2023 IEEE International Conferece on Smart Mobility.

Smart City Track Paper Award

Paper Code

Full CV in PDF.