Yiming Zhang
Research Scientist at Netflix
Shanghai, United States
Summary
🤩
Rockstar🎓
Top SchoolYiming Zhang is a research scientist specializing in large language models, computer vision, and multi-modal systems, currently advancing long-video understanding and MLLMs at Netflix. With ~3 years of industry experience and PhD-level research training jointly at USTC and Shanghai AI Laboratory, he has shipped multi-modal LLMs and optimized vision models for edge deployment using tools like TensorRT and OpenVINO. Prior roles include building multi-modal LLMs at Zoom and developing production-ready AI features (face recognition, super-resolution, depth estimation) at DTEN and Wyze, demonstrating a strong bridge between research and real-time systems. Based in Shanghai but with a global academic background, he combines hands-on PyTorch expertise and model compression know-how with a competitive streak—he’s an accomplished League of Legends ladder player in the top 0.08%—which hints at his focus and drive under pressure.
3 years of coding experience
4 years of employment as a software developer
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at University of WashingtonBachelor of Engineering - BE, Mechanical Engineering, Bachelor of Engineering - BE, Mechanical Engineering at Tsinghua University
Github Skills (10)
diffusion-models10
animation10
audio-processing9
dreambooth9
stable-diffusion8
iot-device3
video-understanding2
segmentation2
audio2
ai-agent1
Programming languages (2)
Github contributions (5)
open-mmlab/FoleyCrafter
Jul 2024 - Feb 2025
[IJCV 2026] FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Sounds. AI拟音大师，给你的无声视频添加生动而且同步的音效 😝
Contributions:2 reviews, 3 PRs, 1 push in 7 months
aigcaudio-processingdiffusion-modelsfoley-sound-synthesisvideo-to-audio
ymzhang0319/ymzhang0319.github.io
Jul 2024 - Jan 2026
Contributions:8 pushes, 1 branch in 1 year 6 months
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