Jingwei Xu
Graduate Student
Minhang District, Shanghai, China
Summary
👤
Senior🎓
Top SchoolJingwei Xu is a PhD candidate in Communications and Information Engineering at Shanghai Jiao Tong University with nine years of research experience and a strong publication record as first author in top-tier venues including CVPR, NeurIPS, ICML, ECCV and IJCV. He spent part of 2020 as a visiting researcher at UC Berkeley, gaining international collaboration experience and broadening his machine learning and computer vision expertise. His work blends theoretical rigor with practical impact, evidenced by multiple high-profile conference papers rather than extensive open-source footprints. Based in Minhang District, Shanghai, Jingwei brings deep academic training and proven ability to lead research projects that advance state-of-the-art perception and learning systems.
9 years of coding experience
1 year of employment as a software developer
博士研究生 通信与信息工程, 博士研究生 通信与信息工程 at Shanghai Jiao Tong University
Github Skills (32)
reimplementation9
unity3d8
adb8
simulation7
motion-capture7
gymnasium7
python7
prediction7
multiprocessing6
deep-learning6
reinforcement-learning-environments6
siggraph6
mesh6
deep-reinforcement-learning5
3d5
Programming languages (5)
Github contributions (5)
xjwxjw/VPEG
Jul 2020 - Jul 2020
Code Release for "Video Prediction via Example Guidance" (ICML 2020)
Contributions:40 commits, 38 pushes in 11 days
pytorchvideo-predictionpredictiondeep-learningicml-2020
xjwxjw/Pytorch-Robust-Motion-In-betweening
Dec 2020 - Apr 2021
Reimplementation of robust motion in-betweening
Contributions:42 commits, 41 pushes, 1 branch in 4 months
motion-interpolationmotion-synthesisemotion-in-betweenreimplementation
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