Jing Liu
Research Scientist at ByteDance
Melbourne, Victoria, Australia
Summary
👤
Senior🎓
Top SchoolJing Liu is a research scientist with nine years of experience blending deep academic training and industry R&D, currently working at ByteDance in Melbourne after a PhD in Computer Science from Monash University. Her background in software engineering (BS/MS from South China University of Technology) and ongoing doctoral research equip her to tackle hard problems at the intersection of machine learning and scalable systems. She has transitioned from rigorous academic research into product-facing research roles, bringing a habit of reproducible experimentation and publication-quality rigor to engineering teams. Known for bridging theory and practice, she thrives on turning novel ideas from her PhD work into deployable solutions in high-throughput environments.
9 years of coding experience
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at South China University of TechnologyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Monash University
Github Skills (50)
paddle9
data-processing9
data-augmentation9
image-augmentation8
longtext8
classification8
nas8
audio-processing8
image-processing8
pytorch7
machine-learning7
gpu7
python7
automl6
deep-learning6
Programming languages (3)
Github contributions (5)
liujingcs/Nystromformer
Jul 2022 - Feb 2023
Contributions:448 pushes in 6 months
SCUT-AILab/DCP
May 2019 - May 2020
Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
Contributions:7 releases, 9 commits, 11 pushes in 1 year
deep-neural-networks
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