黄业琦

黄业琦 Yeqi Huang

PhD of Serverless

University of Edinburgh

Biography

I am Yeqi Huang, a PhD student specializing in AI-System at the Edinburgh-AISys Group. My research centers on enhancing system capabilities to support large-scale AI applications, encompassing training and inference processes. I enjoy engaging with various AI projects. However, AI nowadays are still not strong enough. My objective is to enhance the accessibility of AI for all individuals and to imbue AI with substantial utility in practical industrial applications.

This ambitious objective necessitates a methodical approach for its attainment. My prior research has centered on issues within High Performance Computing. So, I know well about the cutting edge problems in real sience and industry. To introduce AI into those field, we need serving larger AI models and we need to improve the performance of AI model’s training and inference. In an attempt to address this issue, I endeavored to approach it from a more granular perspective by focusing on enhancing the system and compiler infrastructure. My recent research has centered on the latest generation of 2D Mesh Architecutre AI chips such as TPU and Cerebras.

BTW, I am an open-source developer. I love playing in Hackathons and shring my ideas on Github. And this is my blog: Personl Blog

Interests
  • Computer System
  • Distributed Machine Learning
  • Serverless System
Education
  • PhD in Serverless System, 2023

    University of Edinburgh

  • BSc in Computer Science, 2017

    University of Science and Technology of China

Skills

Technical
Machine Learning/Deep Learning
Data Science
System/Architecture
Phsyics
Hobbies
Hiking
Reading
Writing
Cloudherd

Projects

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Autoreader
Semantic searching in daily arXiv papers.
Autoreader
Nerif
LLM-powered Python, make you write Python code with natural language.
Nerif
TREVA
Never Miss Your Lecture Again. From the 2023 HacktheBurgh Hackathon, this project aims to convert lecture recordings into understandable and readable notes.
TREVA
Find-A-Tenant
AI rental agent, helps you find a house based on fuzzy needs. (AI featured is updating, recovering before 8.15, training a new query-to-DB model now …)
Find-A-Tenant
AI QR Code
Stable Diffusion + QR Code Generation. Generate a combined QR code for couples.
AI QR Code

Recent Publications

Quickly discover relevant content by filtering publications.
(2024). (OSDI 2024) ServerlessLLM: Locality-Enhanced Serverless Inference for Large Language Models.

PDF DOI OSDI

Contact

  • yeqi.huang@ed.ac.uk
  • 10 Crichton Street, Edinburgh, Scotland EH8 9AB
  • Informatics Forum Room 1.43