Felix Xu
Research Scientist at New York University
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolFelix Xu is a research scientist with a decade of experience at the intersection of deep learning, computer vision, and generative AI, currently advancing robust, efficient multimodal models on Meta’s GenAI team in New York. He brings a strong academic pedigree from Carnegie Mellon (Ph.D. and M.S. work) and a track record of award-winning biometrics research that emphasizes adversarial robustness and statistical efficiency. Felix also teaches graduate-level robot perception at NYU, bridging foundational research with practical pedagogy. Prior roles at Alibaba and CMU CyLab reflect deep expertise in pattern recognition and periocular face recognition under challenging conditions. Known to publish under F. Juefei-Xu, he combines rigorous theoretical grounding with hands-on model engineering for real-world, multimodal generative systems.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at Carnegie Mellon UniversityBachelor of Science (B.S.) EECS, Bachelor of Science (B.S.) EECS at Shanghai Jiao Tong University
English, French, Chinese, Shanghainese
Github Skills (22)
convolutional-neural-networks10
dep9
portable9
mxnet9
julia9
modification9
mutation9
python8
deep-learning8
machine-learning8
scala8
scheduler8
reddit8
javascript8
pytorch8
Programming languages (5)
Github contributions (5)
juefeix/pnn.pytorch
Jun 2018 - Nov 2018
PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html
Contributions:21 commits, 19 pushes, 1 branch in 5 months
pytorchneural-networkscomputer-visionpnnpytorch-implementation
juefeix/lbcnn.torch
May 2017 - Nov 2018
Torch implementation of CVPR'17 - Local Binary Convolutional Neural Networks http://xujuefei.com/lbcnn.html
Contributions:47 commits, 46 pushes, 1 branch in 1 year 6 months
pytorchdeep-learningtorchconvolutionalneural-networks
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