Cong Xie
Staff Applied Research Scientist at Adobe
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCong Xie is a Staff Applied Research Scientist with 13 years of experience specializing in multi-modality generative modeling and visual analytics, currently driving GenAI video and audio research at Adobe after leading image-editing model efforts at Meta. He has productized large-scale diffusion-based image editing systems (Emu Edit, Instruct pix2pix, ControlNet) that reached millions of daily users across Meta properties and worked end-to-end on data curation, training, reward modeling, evaluation, and deployment. His background spans academic research (PhD from Stony Brook) and industry R&D, with hands-on experience in StyleGAN variants, novel view synthesis, and ranking systems for search and marketing. Comfortable bridging research and production, he combines deep technical modeling expertise with practical delivery at scale in consumer-facing products. An early HPC and visualization researcher, he brings a performance-minded approach to large-model training and inference.
13 years of coding experience
11 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Zhejiang UniversityBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Hohai UniversityDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Stony Brook University
Github Skills (10)
visuals8
simulation7
column-chart3
data-visualization1
data-quality1
visualization1
visualizations1
infrastructure1
microsoft1
testing1
Programming languages (2)
Github contributions (5)
xiecong/Simple-Implementation-of-ML-Algorithms
Feb 2019 - May 2022
Contributions:86 commits, 74 pushes, 1 branch in 3 years 3 months
xiecong/xiecong.github.io
Sep 2016 - Mar 2021
Contributions:356 pushes in 4 years 7 months
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