I will be joining the Department of Electrical Engineering and Computer Science (EECS) at The University of Michigan as an Assistant Professor in Fall 2023. I am looking for self-motivated Ph.D. students to join my group in Fall 2023. Please feel free to reach out if you are interested! See more application details here.
Liyue Shen is an incoming assistant professor in the ECE Division of the Electrical Engineering and Computer Science department of the College of Engineering, University of Michigan – Ann Arbor.
She is currently a postdoctoral research fellow at the Department of Biomedical Informatics, Harvard Medical School. She received her Ph.D. degree from the Department of Electrical Engineering, Stanford University in 2022, co-advised by Prof. John Pauly and Prof. Lei Xing. She obtained her Bachelor’s degree in Electronic Engineering from Tsinghua University in 2016.
She is the recipient of Stanford Bio-X Bowes Graduate Student Fellowship (2019-2022), and was selected as the Rising Star in EECS by MIT and the Rising Star in Data Science by The University of Chicago in 2021.
Her research interest is in Biomedical AI, which lies in the interdisciplinary areas of machine learning, computer vision, signal and image processing, medical image analysis, biomedical imaging, and data science. She is particularly interested in developing efficient and reliable AI/ML-driven computational methods for biomedical imaging and informatics to tackle real-world biomedicine and healthcare problems, including but not limited to, personalized cancer treatment, and precision medicine.
She co-organized the Woman in Machine Learning (WiML) workshop at ICML' 21, and the Machine Learning for Healthcare (ML4H) workshop at NeurIPS' 21. In MICCAI' 21, she co-taught the tutorial on Deep 2D-3D Modeling and Learning in Medical Image Computing.
Education
Industry
Publications
(*equal contributions)
Liyue Shen, John Pauly, Lei Xing.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
Yang Song*, Liyue Shen*, Lei Xing, Stefano Ermon.
International Conference on Learning Representations (ICLR), 2022.
A Local and Global Feature-preserving Method for Fast and High-fidelity Recovery of Big Genomic Data
Md Tauhidul Islam, Jen-Yeu Wang, Hongyi Ren, Xiaomeng Li, Masoud BadieiKhuzani, Lequan Yu, Liyue Shen, Wei Zhao, Lei Xing.
Nature Communications, 2022.
Liyue Shen, Wei Zhao, Dante Capaldi, John Pauly, Lei Xing.
Computers in Biology and Medicine (CIBM), 2022.
Lianli Liu, Liyue Shen, Adam Johansson, James M Balter, Yue Cao, Lei Xing.
Medical Physics, 2022.
Varun Vasudevan, Liyue Shen, Charles Huang, Cynthia F Chuang, Md Tauhidul Islam, Hongyi Ren, Yong Yang, Peng Dong, Lei Xing.
Physics in Medicine and Biology (PMB), 2022.
Liyue Shen*, Jimmy Zheng*, Edward Lee, Michelle Han, Katie Shpanskaya, Emily McKenna, Dinko Plasto, Courtney Mitchell, Lillian Lai, Carolina Guimaraes, Hisham Dahmoush, Jane Chueh, Safwan Halabi, John Pauly, Lei Xing, Quin Lu, Ozgur Oztekin, Beth Kline-Fath, Kristen Yeom.
Scientific Reports, 2022.
Liyue Shen, Lequan Yu, Wei Zhao, John Pauly, Lei Xing.
Medical Image Analysis (MedIA), 2021.
Shih-Cheng Huang*, Liyue Shen*, Matthew Lungren, Serena Yeung.
International Conference on Computer Vision (ICCV), 2021.
Wei Zhao, Liyue Shen, Md Tauhidul Islam, Wenjian Qin, Zhicheng Zhang, Xiaokun Liang, Gaolong Zhang, Shouping Xu, Xiaomeng Li.
Quantitative Imaging in Medicine and Surgery (QIMS), 2021.
Hyunseok Seo, Lequan Yu, Hongyi Ren, Xiaomeng Li, Liyue Shen, Lei Xing.
IEEE Transactions on Medical Imaging (TMI), 2021.
Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John Pauly, Daguang Xu.
IEEE Transactions on Medical Imaging (TMI), 2020.
Masoud Badiei Khuzani*, Liyue Shen*, Shahin Shahrampour, Lei Xing.
Journal of Machine Learning Research (JMLR) (under revision), 2019.
Liyue Shen*, Wei Zhao*, Lei Xing.
Nature Biomedical Engineering, 2019.
Wei Zhao, Liyue Shen, Bin Han, Yong Yang, Kai Cheng, Diego AS Toesca, Albert C Koong, Daniel T Chang, Lei Xing.
International Journal of Radiation Oncology Biology Physics, 2019.
Wei Zhao, Tianling Lv, Peng Gao, Liyue Shen, Xianjin Dai, Kai Cheng, Mengyu Jia, Yang Chen, Lei Xing.
International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019.
Liyue Shen, Wei Zhao, Lei Xing.
SPIE Medical Imaging, 2019. (Oral)
Wei Zhao, Liyue Shen, Yan Wu, Bin Han, Yong Yang, Lei Xing.
SPIE Medical Imaging, 2019. (Oral)
Liyue Shen, Katie Shpanskaya, Edward Lee, Emily McKenna, Maryam Maleki, Quin Lu, Safwan Halabi, John Pauly, Kristen Yeom.
Neural Information Processing Systems (NeurIPS), Machine Learning for Health (ML4H) Workshop, 2018. (Spotlight)
International Society for Magnetic Resonance in Medicine (ISMRM), 2019. (Oral)
Liyue Shen, Serena Yeung, Judy Hoffman, Greg Mori, Li Fei-Fei.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018.
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Liang Zheng*, Liyue Shen*, Lu Tian*, Shengjin Wang, Jingdong Wang, Qi Tian.
International Conference on Computer Vision (ICCV), 2015.
Honors & Awards
Grants and Fellowship
Professional Activities
Organizer:
Program Committee and Conference Reviewer:
- Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2022
- International Conference on Learning Representations (ICLR), 2022
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019-2022
- International Conference on Computer Vision (ICCV), 2019-2021
- European Conference on Computer Vision (ECCV), 2020
- AAAI Conference on Artificial Intelligence (AAAI), 2020-2022
- Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021
- IEEE Winter Conference on Applications of Computer Vision (WACV), 2021-2022
- Asian Conference on Computer Vision (ACCV), 2020
- IEEE International Conference on Multimedia and Expo (ICME), 2019
Journal Editor and Reviewer:
- Review Editor of Radiomics and Artificial Intelligence
- IEEE Transactions on Medical Imaging (TMI)
- IEEE Transactions on Image Processing (TIP)
- IEEE Transactions on Computational Imaging (TCI)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Biomedical Engineering (TBME)
- IEEE Transactions on Cybernetics (CYB)
- IEEE Transactions on Information Forensics & Security (T-IFS)
- IEEE Journal of Biomedical and Health Informatics (JBHI)
- IEEE Access
- Scientific Reports
- Artificial Intelligence In Medicine
- Medical Physics
- International Journal of Radiation Oncology, Biology, Physics (IJROBP)
- Computerized Medical Imaging and Graphics (CMIG)
- Computers in Biology and Medicine (CIBM)
- Machine Vision and Applications (MVAP)
- International Journal of Imaging Systems and Technology (IMA)
- Australasian Physical & Engineering Sciences in Medicine (APES)
Teaching
Patents
NeRP: Implicit Neural Representation Learning with Prior Embedding for Sparsely Sampled Image Reconstruction and Other Inverse Problems
Liyue Shen, Lei Xing.
Leland Stanford Junior University, 2021.
Prior-incorporated deep learning framework for sparse image reconstruction by using geometry and physics priors from imaging system
Liyue Shen, Lei Xing, Lianli Liu.
Leland Stanford Junior University, 2020.
Deep Learning Model for 3D Computed Tomography (CT) Image Reconstruction with Single or a Few Views
Liyue Shen, Wei Zhao, Lei Xing.
Leland Stanford Junior University, 2019.
Representational Disentanglement for Multi-Modality Image Completion Using Neural Networks
Wentao Zhu, Liyue Shen, Xiaosong Wang, Daguang Xu.
Nvidia Corporation, 2019.