Wenjie Wu
Researcher at ByteDance
Singapore, Singapore
Summary
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RockstarWenjie Wu is a researcher and machine learning engineer based in Singapore with eight years of experience building practical computer vision systems. Currently at ByteDance, Wenjie focuses on deep learning research and implementation, notably developing a PyTorch-based facial expression recognition pipeline that achieved state-of-the-art results on FER2013 and strong performance on CK+. Beyond model training, Wenjie handles end-to-end tasks from dataset preprocessing and visualization to architectural tweaks and evaluation tooling. Comfortable bridging research and production, Wenjie combines academic rigor with hands-on engineering to deliver reproducible, well-instrumented ML solutions. An active open-source contributor, Wenjie publishes work and demos through a personal GitHub site that showcases practical reproducibility and visualization skills.
8 years of coding experience
Github Skills (9)
neural-network10
computer-vision10
machine-learning10
pytorch10
convolutional-neural-networks10
modeling9
python9
trainings9
data-preprocessing9
Programming languages (1)
Github contributions (5)
WuJie1010/Temporally-language-grounding
May 2019 - Sep 2019
A Pytorch implemention for some state-of-the-art models for" Temporally Language Grounding in Untrimmed Videos"
Contributions:36 commits, 35 pushes, 1 branch in 3 months
pytorchartdeep-learningvideosstate-of-the-art
WuJie1010/TSP-PRL
May 2019 - Jan 2020
Contributions:31 commits, 6 pushes, 1 comment in 8 months
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