Yingwei Li

I am a 2nd-year PhD student in Computer Science at Johns Hopkins Universit, advised by Bloomberg Distinguished Professor Dr. Alan Yuille. I am a member of Computational Cognition, Vision, and Learning.

I obtained B.S. in Computer Science at Fudan University in 2018. I also speet time in NTU, TuSimple and ByteDance AI Lab.

Email  /  CV  /  Google Scholar  /  Github

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Research

My research interests are computer vision and machine learning, especially on adversarial attacks and defenses, medical image analysis and efficient neural network models design.

Neural Architecture Search for Lightweight Non-Local Networks
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan Yuille
CVPR, 2020

project page  /  bibtex
  @inproceedings{li2020neural,
  title={Neural Architecture Search for Lightweight Non-local Networks},
  author={Li, Yingwei and Jin, Xiaojie and Mei, Jieru and Lian, Xiaochen and Yang, Linjie and Xie, Cihang and Yu, Qihang and Zhou, Yuyin and Bai, Song and Yuille, Alan},
  booktitle={CVPR},
  year={2020}
  }

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network
Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan Yuille
Tech report, arxiv

arxiv  /  bibtex
  @article{yu2020cakes,
  title={CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network},
  author={Yu, Qihang and Li, Yingwei and Mei, Jieru and Zhou, Yuyin and Yuille, Alan L},
  journal={arXiv preprint arXiv:2003.12798},
  year={2020}
}

Adversarial Attacks on Monocular Depth Estimation
Ziqi Zhang, Xinge Zhu, Yingwei Li, Xiangqun Chen, Yao Guo
Tech report, arxiv

arxiv  /  bibtex
  @article{zhang2020adversarial,
  title={Adversarial Attacks on Monocular Depth Estimation},
  author={Zhang, Ziqi and Zhu, Xinge and Li, Yingwei and Chen, Xiangqun and Guo, Yao},
  journal={arXiv preprint arXiv:2003.10315},
  year={2020}
}

AtomNAS: Fine-Grained End-to-End Neural Architecture Search
Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan Yuille, Jianchao Yang
ICLR, 2020

arxiv  /  project page  /  bibtex
@inproceedings{
mei2020atomnas,
title={Atom{\{}NAS{\}}: Fine-Grained End-to-End Neural Architecture Search},
author={Jieru Mei and Yingwei Li and Xiaochen Lian and Xiaojie Jin and Linjie Yang and Alan Yuille and Jianchao Yang},
booktitle={International Conference on Learning Representations},
year={2020},
url={https://openreview.net/forum?id=BylQSxHFwr}
}

Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation
Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K Fishman, Alan Yuille, Seyoun Park
MICCAI, 2019

arxiv  /  bibtex
@inproceedings{zhou2019hyper,
  title={Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation},
  author={Zhou, Yuyin and Li, Yingwei and Zhang, Zhishuai and Wang, Yan and Wang, Angtian and Fishman, Elliot K and Yuille, Alan L and Park, Seyoun},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={155--163},
  year={2019},
  organization={Springer}
}

Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures
Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan Yuille
MICCAI-MLMI, 2019

arxiv  /  bibtex
@InProceedings{10.1007/978-3-030-32692-0_53,
author="Zhou, Yuyin and Dreizin, David and Li, Yingwei and Zhang, Zhishuai and Wang, Yan and Yuille, Alan",
title="Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures",
booktitle="Machine Learning in Medical Imaging",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="461--469",
isbn="978-3-030-32692-0"
}

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan Yuille
Tech report, arXiv

arxiv  /  project page  /  bibtex
@article{li2019regional,
  title={Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses},
  author={Li, Yingwei and Bai, Song and Xie, Cihang and Liao, Zhenyu and Shen, Xiaohui and Yuille, Alan},
  journal={arXiv preprint arXiv:1904.00979},
  year={2019}
}

Adversarial Metric Attack for Person Re-identification
Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H.S. Torr
Tech report, arXiv

arxiv  /  project page  /  bibtex
@article{bai2019adversarial,
  title={Adversarial Metric Attack for Person Re-identification},
  author={Bai, Song and Li, Yingwei and Zhou, Yuyin and Li, Qizhu and Torr, Philip HS},
  journal={arXiv preprint arXiv:1901.10650},
  year={2019}
}

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples
Yingwei Li*, Zhuotun Zhu* Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K Fishman, Alan Yuille
Book Chapter: Deep Learning and CNN for Medical Image Computing , 2019

pre print  /  bibtex
@Inbook{Li2019,
author="Li, Yingwei and Zhu, Zhuotun and Zhou, Yuyin and Xia, Yingda and Shen, Wei and Fishman, Elliot K. and Yuille, Alan L.",
title="Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples",
bookTitle="Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics",
year="2019",
publisher="Springer International Publishing",
address="Cham",
pages="69--91",
isbn="978-3-030-13969-8",
doi="10.1007/978-3-030-13969-8_4",
url="https://doi.org/10.1007/978-3-030-13969-8_4"
}

Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan Yuille
AAAI, 2020

arxiv  /  project page  /  bibtex
@inproceedings{li2020learning,
  title={Learning Transferable Adversarial Examples via Ghost Networks},
  author={Li, Yingwei and Bai, Song and Zhou, Yuyin and Xie, Cihang and Zhang, Zhishuai and Yuille, Alan},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={34},
  year={2020}
}

Stolen from Jon Barron