Experience
Education
Bio
My recent work of ResNeSt achieves superior performance on ImageNet and significantly boosts the performance on many downstream applications when serving as the backbone network. ResNeSt achieves state-of-the-art results in object detection and instance segmentation on MS-COCO dataset, and semantic segmentation on ADE20K and Cityscapes datasets.
I am also enthusiastic in contributing to open source projects. I am the designer and creator for AutoGluon Toolkit, PyTorch Encoding Toolkit. I am also a co-creator for GluonCV Toolkit and contribute frequently to Apache MXNet. I have organized “Everything you need to know to reproduce SoTA deep learning models” in ICCV 2019. I am organizing a tutorial series on “From HPO to NAS:
Automated Deep Learning” on CVPR 2020 and ECCV 2020.