Chenyang Shen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Treatment Planning

Top Venues

IEEE Trans. Image Process.

IEEE Trans. Cybern.

IEEE Trans. Circuits Syst. Video Technol.

Publications

Zixuan Qin, Liu Yang, Fei Gao, Qinghua Hu, Chenyang Shen
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu
Soft independence guided filter pruning. Pattern Recognit. 153 (2024)
Liu Yang, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu
Skeleton Neural Networks via Low-Rank Guided Filter Pruning. IEEE Trans. Circuits Syst. Video Technol. 33 (12) (2023)
Liu Yang, Maoying Li, Chenyang Shen, Qinghua Hu, Jia Wen, Shujie Xu
Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes. IEEE Trans. Cybern. 52 (3) (2022)
Yesenia Gonzalez, Chenyang Shen, Hyunuk Jung, Dan Nguyen, Steve B. Jiang, Kevin Albuquerque, Xun Jia
Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach. Medical Image Anal. 68 (2021)
Ying Ren, Min-Yu Tsai, Liyuan Chen, Jing Wang, Shulong Li, Yufei Liu, Xun Jia, Chenyang Shen
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification. Int. J. Comput. Assist. Radiol. Surg. 15 (2) (2020)
Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li
Adaptive Sample-Level Graph Combination for Partial Multiview Clustering. IEEE Trans. Image Process. 29 (2020)
Jia Wen, Liu Yang, Chenyang Shen
Fast and Robust Compression of Deep Convolutional Neural Networks. ICANN (2) (2020)
Guanglin Tang, Yulong Yan, Chenyang Shen, Xun Jia, Meyer Zinn, Zipalkumar Trivedi, Alicia Yingling, Kenneth Westover, Steve B. Jiang
Balancing Robustness and Responsiveness in a Real-time Indoor Location System using Bluetooth Low Energy Technology and Deep Learning to Facilitate Clinical Applications. CoRR (2019)
Samiha Rouf, Chenyang Shen, Yan Cao, Conner Davis, Xun Jia, Yifei Lou
A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection. MIUA (2019)
Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du
Heterogeneous Transfer Clustering for Partial Co-occurrence Data. ICTAI (2019)
Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang
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. CoRR (2019)
Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Chenyang Shen, Xun Jia, Steve B. Jiang
Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. MICCAI (6) (2019)
Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du
Transfer Learning for Driving Pattern Recognition. PRICAI (2) (2019)
Liyuan Chen, Chenyang Shen, Zhiguo Zhou, Genevieve Maquilan, Kimberly Thomas, Michael R. Folkert, Kevin Albuquerque, Jing Wang
Accurate segmenting of cervical tumors in PET imaging based on similarity between adjacent slices. Comput. Biol. Medicine 97 (2018)
Bin Li, Chenyang Shen, Yujie Chi, Ming Yang, Yifei Lou, Linghong Zhou, Xun Jia
Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm. SIAM J. Imaging Sci. 11 (2) (2018)
Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang, Xun Jia
Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning. IEEE Trans. Medical Imaging 37 (6) (2018)
Liyuan Chen, Chenyang Shen, Shulong Li, Genevieve Maquilan, Kevin Albuquerque, Michael R. Folkert, Jing Wang
Automatic PET cervical tumor segmentation by deep learning with prior information. Medical Imaging: Image Processing (2018)
Chenyang Shen, Yesenia Gonzalez, Liyuan Chen, Steve B. Jiang, Xun Jia
Intelligent Parameter Tuning in Optimization-based Iterative CT Reconstruction via Deep Reinforcement Learning. CoRR (2017)
Liping Jing, Chenyang Shen, Liu Yang, Jian Yu, Michael K. Ng
Multi-Label Classification by Semi-Supervised Singular Value Decomposition. IEEE Trans. Image Process. 26 (10) (2017)
Michael K. Ng, Qingyao Wu, Chenyang Shen
A fast Markov chain based algorithm for MIML learning. Neurocomputing 216 (2016)
Chenyang Shen, JunJun Pan, Shuqin Zhang, Michael K. Ng
Multiple networks modules identification by a multi-dimensional Markov chain method. Netw. Model. Anal. Health Informatics Bioinform. 4 (1) (2015)
Chenyang Shen, Liping Jing, Michael K. Ng
Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm. EMMCVPR (2013)