Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm. - Chenyang Shen; Liping Jing; Michael K. Ng 001 (EMMCVPR, 2013)

Multiple networks modules identification by a multi-dimensional Markov chain method. - Chenyang Shen; JunJun Pan; Shuqin Zhang; Michael K. Ng 001 (Netw. Model. Anal. Health Informatics Bioinform., 2015)

A fast Markov chain based algorithm for MIML learning. - Michael K. Ng 001; Qingyao Wu; Chenyang Shen (Neurocomputing, 2016)

Multi-Label Classification by Semi-Supervised Singular Value Decomposition. - Liping Jing; Chenyang Shen; Liu Yang; Jian Yu 001; Michael K. Ng 001 (IEEE Trans. Image Process., 2017)

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 022 (Image Processing, 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 022 (Comput. Biol. Medicine, 2018)

Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm. - Bin Li 047; Chenyang Shen; Yujie Chi; Ming Yang; Yifei Lou; Linghong Zhou; Xun Jia (SIAM J. Imaging Sci., 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)

Heterogeneous Transfer Clustering for Partial Co-occurrence Data. - Xiangyang Ye; Liu Yang; Qinghua Hu; Chenyang Shen; Liping Jing; Zhibin Du (ICTAI, 2019)

Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. - Dan Nguyen; Azar Sadeghnejad-Barkousaraie; Chenyang Shen; Xun Jia; Steve B. Jiang (MICCAI (6), 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 (MIUA, 2019)

Transfer Learning for Driving Pattern Recognition. - Maoying Li; Liu Yang; Qinghua Hu; Chenyang Shen; Zhibin Du (PRICAI (2), 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)

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)

Fast and Robust Compression of Deep Convolutional Neural Networks. - Jia Wen; Liu Yang; Chenyang Shen (ICANN (2), 2020)

A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification. - Ying Ren; Min-Yu Tsai; Liyuan Chen; Jing Wang 022; Shulong Li; Yufei Liu; Xun Jia; Chenyang Shen (Int. J. Comput. Assist. Radiol. Surg., 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)

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)

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)

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., 2023)

Quality assurance for online adaptive radiotherapy: a secondary dose verification model with geometry-encoded U-Net. - Shunyu Yan; Austen Maniscalco; Biling Wang; Dan Nguyen; Steve B. Jiang; Chenyang Shen (Mach. Learn. Sci. Technol., 2024)

Soft independence guided filter pruning. - Liu Yang; Shiqiao Gu; Chenyang Shen; Xile Zhao; Qinghua Hu (Pattern Recognit., 2024)

Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation. - Zixuan Qin; Liu Yang; Fei Gao; Qinghua Hu; Chenyang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

AI-Assisted Decision-Making for Clinical Assessment of Auto-Segmented Contour Quality. - Biling Wang; Austen Maniscalco; Ti Bai; Siqiu Wang; Michael Dohopolski; Mu-Han Lin; Chenyang Shen; Dan Nguyen; Junzhou Huang; Steve B. Jiang; Xinlei Wang (CoRR, 2025)