Xinyu Gong
Applied Scientist at Adobe
Texas, United States
Summary
👤
Senior🎓
Top SchoolXinyu Gong is an applied scientist with nine years of experience bridging academic research and industry productization in machine learning and computer vision. He completed a Ph.D. at UT Austin (after time at Texas A&M) focused on few-shot learning and neural architecture search, and has interned at top research labs including Meta and Facebook AI before moving into production roles. His industry work spans image/video generation and post-training optimization at TikTok and now Adobe, demonstrating a track record of taking novel research ideas toward scalable deployment. Xinyu’s background blends deep theoretical rigor with hands-on ML engineering across startups and big tech, plus teaching experience that sharpens his communication of complex ideas. A less obvious strength is his continuity across research environments—academic labs, corporate AI teams, and product engineering—enabling fast translation of prototype models into robust systems.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at The University of Texas at AustinDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Texas A&M UniversityBachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at University of Electronic Science and Technology of China
Github Skills (97)
batch-normalization10
python10
diffusion-models10
style-transfer10
agentic-ai10
autonomous-agents10
ai10
gpt10
neural-architecture-search10
artificial-intelligence10
tensorflow10
nas10
flux10
pytorch10
generative-adversarial-network10
Programming languages (8)
Github contributions (5)
VITA-Group/AutoGAN
Aug 2019 - Aug 2021
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
Contributions:10 commits, 3 PRs, 13 pushes in 2 years 1 month
generative-adversarial-networkneural-architecture-searchautoganganpytorch
VITA-Group/Sandwich-Batch-Normalization
Feb 2021 - Oct 2021
[WACV 2022] "Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity" by Xinyu Gong, Wuyang Chen, Tianlong Chen and Zhangyang Wang
Contributions:17 commits, 10 pushes in 8 months
batch-normalizationneural-architecture-searchganstyle-transferadversarial-training
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