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2020 – today
- 2024
[j14]Shunyu Yan, Austen Maniscalco, Biling Wang, Dan Nguyen, Steve B. Jiang, Chenyang Shen:
Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net. Mach. Learn. Sci. Technol. 5(4): 45013 (2024)- [j13]Liu Yang
, Shiqiao Gu, Chenyang Shen, Xile Zhao, Qinghua Hu:
Soft independence guided filter pruning. Pattern Recognit. 153: 110488 (2024) - [j12]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): 7548-7562 (2024) - 2023
- [j11]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): 7197-7211 (2023) - 2022
- [j10]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): 1429-1442 (2022) - 2021
- [j9]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: 101896 (2021) - 2020
- [j8]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): 287-295 (2020) - [j7]Liu Yang, Chenyang Shen, Qinghua Hu, Liping Jing, Yingbo Li:
Adaptive Sample-Level Graph Combination for Partial Multiview Clustering. IEEE Trans. Image Process. 29: 2780-2794 (2020) - [c7]Jia Wen, Liu Yang, Chenyang Shen:
Fast and Robust Compression of Deep Convolutional Neural Networks. ICANN (2) 2020: 52-63
2010 – 2019
- 2019
- [c6]Xiangyang Ye, Liu Yang, Qinghua Hu, Chenyang Shen, Liping Jing, Zhibin Du:
Heterogeneous Transfer Clustering for Partial Co-occurrence Data. ICTAI 2019: 1042-1049 - [c5]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: 59-67 - [c4]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: 208-219 - [c3]Maoying Li, Liu Yang, Qinghua Hu, Chenyang Shen, Zhibin Du:
Transfer Learning for Driving Pattern Recognition. PRICAI (2) 2019: 52-65 - [i3]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 abs/1907.10554 (2019) - [i2]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 abs/1908.05874 (2019) - 2018
- [j6]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: 30-36 (2018) - [j5]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): 1205-1229 (2018) - [j4]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): 1430-1439 (2018) - [c2]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: 1057436 - 2017
- [j3]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): 4612-4625 (2017) - [i1]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 abs/1711.00414 (2017) - 2016
- [j2]Michael K. Ng, Qingyao Wu, Chenyang Shen:
A fast Markov chain based algorithm for MIML learning. Neurocomputing 216: 763-777 (2016) - 2015
- [j1]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): 32 (2015) - 2013
- [c1]Chenyang Shen, Liping Jing, Michael K. Ng:
Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm. EMMCVPR 2013: 294-306
Coauthor Index
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