Songyang Zhang
Research Scientist at Utopai Studios
California, United States
Summary
🤩
Rockstar🎓
Top SchoolSongyang Zhang is a research scientist specializing in video generative models at the intersection of computer vision and natural language, currently working at Utopai Studios after an applied scientist role on Amazon’s AGI team. He holds a PhD in Artificial Intelligence from the University of Rochester and brings 11 years of research experience with internships at Meta, Microsoft, and Tencent that shaped his applied ML perspective. His work blends rigorous academic foundations—highlighted by a NAACL 2021 Best Long Paper award—with production-oriented model development for large-scale video-language systems. Based in California, he leverages a global academic background from Zhejiang University and Southeast University to drive innovations in video+language understanding and generation. An implicit strength is his ability to move ideas from top-tier research into engineering practice, evidenced by successive industry roles focused on bridging research and product.
11 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Southeast UniversityDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of RochesterMaster's degree Computer Science, Master's degree Computer Science at Zhejiang University
Github Skills (46)
temporal10
image-enhancement10
localization10
grammar-induction10
speech-synthesis9
asr9
speaker-recognition8
autoencoder8
automatic-speech-recognition8
speech8
machine-translation8
text-generation8
semi-supervised-learning7
multimodal7
action-recognition7
Programming languages (4)
Github contributions (5)
Sy-Zhang/LIME
Jul 2018 - Dec 2019
Reimplementation of the paper "LIME: A Method for Low-light IMage Enhancement" in ACM MM 2016.
Contributions:2 commits, 1 push, 1 branch in 1 year 5 months
image-enhancement
Sy-Zhang/TCMN-Release
Aug 2019 - Oct 2022
Codes for our ACM MM 2019 paper: "Exploiting Temporal Relationships in Video Moment Localization with Natural Language"
Contributions:14 commits, 5 pushes, 2 comments in 3 years 3 months
localization
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