Kunpeng Song
Senior Machine Learning Engineer at XPENG
United States
Summary
👤
Senior🎓
Top SchoolKunpeng Song is a Senior Machine Learning Engineer and Ph.D. candidate at Rutgers with 8 years of experience building state-of-the-art generative models across image, video, and music domains. He specializes in diffusion models, transformers and multimodal LLMs, with published work at ECCV, AAAI and WACV and internships at Meta GenAI and TikTok where he advanced human-centric video and personalized image generation. His industry R&D spans creative AI projects—from a Beethoven-style music generator to super-resolution and artistic image synthesis—and more recently Vision-Language-Action models for humanoid robots at XPENG. Known for bridging deep research with production-ready engineering, he quickly adapts across modalities and is effective at turning academic ideas into practical generative systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, 3.7, Bachelor's degree, Electrical and Electronics Engineering, 3.7 at Shandong UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rutgers University
Github Skills (9)
neural-network10
machine-learning10
deep-learning10
tensorflow10
deep-neural-networks10
python10
data-science10
ml10
javascript2
Programming languages (3)
Github contributions (5)
KunpengSong/helllo
Oct 2017 - Jan 2019
try
Contributions:14 commits, 4 PRs, 11 pushes in 1 year 2 months
javascript
KunpengSong/styleganfusion
Dec 2022 - Feb 2023
Contributions:21 commits, 27 pushes, 1 branch in 1 month
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