Yingwei Li

Hi! I am a fourth-year Ph.D. candidate in Computer Science at Johns Hopkins University, 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 spent time at Google Research, Waymo, ByteDance, NTU, and TuSimple.

Email  /  CV  /  Google Scholar  /  Github

I am on the job market, and I am looking for industrial job opportunities starting from Fall 2022. Feel free to connect!

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Research

My research interests mainly lay in computer vision, especially on autonomous driving, robust representation learning, multi-modality fusion, automated machine learning, medical machine intelligence. Representative papers are highlighted. I am open to new topics.

Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
Yingwei Li, Adams Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc Le, Alan Yuille, Mingxing Tan
Under review

@inproceedings{
li2022lidarcamera,
title={Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection},
author={Anonymous},
booktitle={In Submisssion},
year={2022},
note={under review}
}

R4D: Utilizing Reference Objects for Long-Range Distance Estimation
Yingwei Li, Tiffany Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao
Under review

Open Review  /  bibtex
@inproceedings{
anonymous2022rd,
title={R4D: Utilizing Reference Objects for Long-Range Distance Estimation},
author={Anonymous},
booktitle={Submitted to The Tenth International Conference on Learning Representations },
year={2022},
url={https://openreview.net/forum?id=MQ2sAGunyBP},
note={under review}
}

Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li
Tech report, arxiv

arxiv  /  bibtex
@misc{xiao2021learning,
      title={Learning from Temporal Gradient for Semi-supervised Action Recognition},
      author={Junfei Xiao and Longlong Jing and Lin Zhang and Ju He and Qi She and Zongwei Zhou and Alan Yuille and Yingwei Li},
      year={2021},
      eprint={2111.13241},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Harnessing Perceptual Adversarial Patches for Crowd Counting
Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
Tech report, arxiv

arxiv  /  bibtex
@misc{liu2021harnessing,
      title={Harnessing Perceptual Adversarial Patches for Crowd Counting},
      author={Shunchang Liu and Jiakai Wang and Aishan Liu and Yingwei Li and Yijie Gao and Xianglong Liu and Dacheng Tao},
      year={2021},
      eprint={2109.07986},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

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

arxiv  /  bibtex
@misc{zhang2020adversarial,
      title={Adversarial Attacks on Monocular Depth Estimation},
      author={Ziqi Zhang and Xinge Zhu and Yingwei Li and Xiangqun Chen and Yao Guo},
      year={2020},
      eprint={2003.10315},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Searching for TrioNet: Combining Convolution with Local and Global Self-Attention
Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan Yuille
BMVC, 2021

arxiv  /  project page  /  bibtex
@misc{pi2021searching,
      title={Searching for TrioNet: Combining Convolution with Local and Global Self-Attention},
      author={Huaijin Pi and Huiyu Wang and Yingwei Li and Zizhang Li and Alan Yuille},
      year={2021},
      eprint={2111.07547},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Shape-Texture Debiased Neural Network Training
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan Yuille, Cihang Xie
ICLR, 2021

arxiv  /  project page  /  slides  /  short talk  /  bibtex
@article{li2020shapetexture,
author  = {Li, Yingwei and Yu, Qihang and Tan, Mingxing and Mei, Jieru and Tang, Peng and Shen, Wei and Yuille, Alan and Xie, Cihang},
title   = {Shape-Texture Debiased Neural Network Training},
journal = {arXiv preprint arXiv:2010.05981},
year    = {2020}
}

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network
Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan Yuille
AAAI, 2021

arxiv  /  project page  /  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 Metric Attack and Defense for Person Re-identification
Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H.S. Torr
TPAMI, 2020

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}
}

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan Yuille
ECCV, 2020

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}
}

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

arxiv  /  project page  /  pytorch reimplementation  /  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}
}

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}
}

Learning Transferable Adversarial Examples via Ghost Networks
Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan Yuille
AAAI, 2020
CVPR Workshop (Oral), 2019

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}
}

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

arxiv  /  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"
}

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"
}
Current and Past Affiliations
Current and Past Affiliations

Stolen from Jon Barron