Minghao Chen

PhD Candidate

Zhejiang, China
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Summary

👤
Senior
Minghao Chen is a research-focused engineer with nine years of experience specializing in deep learning and computer vision, currently a final-year DPhil student at Oxford's Visual Geometry Group under Prof. Andrea Vedaldi and Dr. Iro Laina. He has held multiple research roles at Meta—working on video generation and 3D part-level generative models across Superintelligence Labs, Reality Lab, and GenAI—and earlier contributed to neural architecture search at Microsoft and research at MIT CSAIL. Minghao blends strong academic training (PhD work spanning Oxford, Stony Brook, and a Columbia MS in Data Science) with hands-on model-building for cutting-edge generative AI. He is comfortable moving ideas from theory to large-scale experimental systems, often at the intersection of 3D vision and generative modeling. A detail that sets him apart is his track record of repeatedly being tapped for short, impact-focused research internships at industry labs, signaling both adaptability and fast ramp-up on high-stakes projects. Based in Zhejiang and the UK, he bridges international research cultures while focusing on next-generation visual generative systems.
code9 years of coding experience
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Github Skills (14)

semantic-segmentation9
pytorch8
contrastive-learning8
php6
python6
chatgpt5
localization3
imitation-learning3
deeplab3
agent2
post-training2
graph2
agent-framework1
llm1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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ZJULearning/MaxSquareLoss

Apr 2019 - Dec 2021

Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.
Contributions:28 commits, 1 PR, 7 pushes in 2 years 9 months
pytorchsemantic-segmentation
minghchen/homework

Apr 2017 - Sep 2017

Imitation Learning Homework 1
Contributions:29 commits, 15 pushes in 5 months
imitation-learning
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