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.

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