Yunhai Hu
Research Collaborator at Yale University
📍 Jersey City, New Jersey, United States
Yunhai Hu is a computer science Masters student at NYU and a Research Collaborator at Yale, specializing in efficient Large Language Model inference. He has industry experience as a Machine Learning Engineer at bilibili and has co-authored multiple publications on AI model optimization.
He has co-authored multiple research papers on "Speculative Decoding, " a cutting-edge technique to accelerate the performance of large-scale autoregressive models.
Read the full overview →Experience
2 Years
Current Role
Research Collaborator
Location
Jersey City, New Jersey, United States
Personality Overview
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Priorities
Topics Yunhai cares about
LLM Efficiency
His graduate research at NYU and publications, such as "PipeSpec, " are dedicated to making large language models faster and more efficient through new decoding techniques.
AI Systems
His background includes deep learning systems research and practical experience as a CUDA developer at bilibili, focusing on the infrastructure that powers AI.
Career
Work history
12-2024 - 3-2025
Research Collaborator
Yale University
9-2024 - 2-2025
Research Assistant
New York University
9-2024 - 10-2024
Research Assistant
New York University
9-2023 - 9-2024
Machine Learning Engineer
bilibili Group
7-2022 - 9-2023
Software Developer
bilibili Group
In the press
Media appearances
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Education
8-2024 - 5-2026
Master of Science - MS
New York University
9-2017 - 6-2022
Bachelor of Science - BS
Shandong University
Social presence
Other Yale University Employees
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