Chenyang Shen

According to our database, Chenyang Shen authored at least 20 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Skeleton Neural Networks via Low-Rank Guided Filter Pruning.

Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu

IEEE Trans. Circuits Syst. Video Technol., December, 2023

2022

Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes.

Liu Yang, Maoying Li, Chenyang Shen, Qinghua Hu, Jia Wen, Shujie Xu

IEEE Trans. Cybern., 2022

2021

Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach.

Yesenia Gonzalez, Chenyang Shen, Hyunuk Jung, Dan Nguyen, Steve B. Jiang, Kevin Albuquerque, Xun Jia

Medical Image Anal., 2021

2020

Adaptive Sample-Level Graph Combination for Partial Multiview Clustering.

Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li

IEEE Trans. Image Process., 2020

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification.

Ying Ren, Min-Yu Tsai, Liyuan Chen, Jing Wang, Shulong Li, Yufei Liu, Xun Jia, Chenyang Shen

Int. J. Comput. Assist. Radiol. Surg., 2020

Fast and Robust Compression of Deep Convolutional Neural Networks.

Jia Wen, Liu Yang, Chenyang Shen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy.

Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang

CoRR, 2019

Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications.

Guanglin Tang, Yulong Yan, Chenyang Shen, Xun Jia, Meyer Zinn, Zipalkumar Trivedi, Alicia Yingling, Kenneth Westover, Steve B. Jiang

CoRR, 2019

Transfer Learning for Driving Pattern Recognition.

Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection.

Samiha Rouf, Chenyang Shen, Yan Cao, Conner Davis, Xun Jia, Yifei Lou

Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning.

Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Chenyang Shen, Xun Jia, Steve B. Jiang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Heterogeneous Transfer Clustering for Partial Co-occurrence Data.

Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning.

Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang, Xun Jia

IEEE Trans. Medical Imaging, 2018

Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm.

Bin Li, Chenyang Shen, Yujie Chi, Ming Yang, Yifei Lou, Linghong Zhou, Xun Jia

SIAM J. Imaging Sci., 2018

Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices.

Liyuan Chen, Chenyang Shen, Zhiguo Zhou, Genevieve Maquilan, Kimberly Thomas, Michael R. Folkert, Kevin Albuquerque, Jing Wang

Comput. Biol. Medicine, 2018

Automatic PET cervical tumor segmentation by deep learning with prior information.

Liyuan Chen, Chenyang Shen, Shulong Li, Genevieve Maquilan, Kevin Albuquerque, Michael R. Folkert, Jing Wang

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017

Multi-Label Classification by Semi-Supervised Singular Value Decomposition.

Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Michael K. Ng

IEEE Trans. Image Process., 2017

2016

A fast Markov chain based algorithm for MIML learning.

Michael K. Ng, Qingyao Wu, Chenyang Shen

Neurocomputing, 2016

2015

Multiple networks modules identification by a multi-dimensional Markov chain method.

Chenyang Shen, JunJun Pan, Shuqin Zhang, Michael K. Ng

Netw. Model. Anal. Health Informatics Bioinform., 2015

2013

Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm.

Chenyang Shen, Liping Jing, Michael K. Ng

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013