Tao Yu
Technical Lead at LimX Dynamics
Shenzhen, Guangdong Province, China
Summary
🤩
Rockstar🎓
Top SchoolTao Yu is a technical lead with eight years of experience specializing in reinforcement learning and intelligent decision-making, now leading engineering efforts at LimX Dynamics after senior research roles at Tencent. He holds a PhD in Electronic Engineering and Information Science from USTC and has research stints at Microsoft and NUS focused on data-efficient and multimodal representation learning in RL. Comfortable bridging academic rigor and product-oriented development, he brings hands-on expertise in deploying RL models from research to production. Based in Shenzhen, he maintains an active professional footprint—prefer email for urgent GitHub matters—reflecting a focus on deep work and prioritized collaboration.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Electronics and Information Engineering, Bachelor's degree, Electronics and Information Engineering at Anhui UniversityDoctor of Philosophy - PhD, Electronic Engineering and Information Science, Doctor of Philosophy - PhD, Electronic Engineering and Information Science at University of Science and Technology of ChinaResearch Student, Multimodal Models, Research Student, Multimodal Models at National University of Singapore
Github Skills (41)
fourier-transform10
high-resolution10
image-processing10
generative-adversarial-network10
normalization10
denoising10
image-editing10
inpainting10
region10
computer-vision10
mask9
deep-learning9
sequence-modeling8
pytorch8
sequence6
Programming languages (3)
Github contributions (5)
geekyutao/GraphIQA
Nov 2020 - Mar 2022
GraphIQA: Learning Distortion Graph Representations for Blind Image Quality Assessment
Contributions:8 commits, 2 PRs, 9 pushes in 1 year 3 months
geekyutao/Image-Inpainting
Mar 2019 - May 2022
A paper summary of image inpainting
Contributions:83 commits, 81 pushes, 1 branch in 3 years 2 months
deep-learninginpaintingcomputer-visionimage-processingdenoising
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