Jialian Wu is a Senior Research Scientist at AMDs GenAI team, focusing on large language models. A Ph. D. graduate from the University at Buffalo, he is a core contributor to open-source models like Instella and AMD-OLMo, which are trained from scratch on AMD hardware. His expertise spans computer vision, LLMs, and vision-language research.
On his personal website, Jialian mentions that music is a great passion in his life.
His research on hour-scale long video understanding was accepted as a Spotlight paper at NeurIPS 2025, a top-tier AI conference.
Jialian Wu
Senior Research Scientist at AMD
Santa Clara, California, United States
Overview
Topics They Care About
Open-Source LLMs
He is a core contributor to AMD's fully open-source 3B parameter language models, Instella and Instella-Long, releasing weights, code, and training data.
AI Hardware Acceleration
His work extensively utilizes and showcases the power of AMD's MI300X GPUs for training complex, large-scale AI models from scratch.
Long-Context AI
He has co-authored research on long-context models for both language and hour-long video understanding, a key area of his recent focus.
Media Appearances
Jialian has no verified media appearances
Work History
7-2025
Senior Research Scientist at AMD
4-2024 - 6-2025
Research Scientist at AMD
6-2023 - 3-2024
Research Scientist at Qualcomm
9-2022 - 10-2022
Applied Scientist Intern at Amazon
6-2022 - 8-2022
Research Intern at Microsoft
6-2021 - 8-2021
Applied Scientist Intern at Amazon
Education
2019 - 2023
Doctor of Philosophy - PhD from University at Buffalo
2014 - 2018
Bachelor's degree from Tianjin University
More Information
Social Presence :
Prographics :
Exp : 2
Location : Santa Clara, California, United States
Job Level : N/A
Designation : Senior Research Scientist at AMD
