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SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning

Aug 16, 2020
Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu


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M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients

Jun 01, 2020
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao

* Accepted by MICCAI'20 

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Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning

May 06, 2020
Hengyuan Kang, Liming Xia, Fuhua Yan, Zhibin Wan, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, He Sui, Changqing Zhang, Dinggang Shen


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Ball k-means

May 02, 2020
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei


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Multi-view Deep Subspace Clustering Networks

Aug 06, 2019
Pengfei Zhu, Binyuan Hui, Changqing Zhang, Dawei Du, Longyin Wen, Qinghua Hu

* Submitted to the IEEE Transactions on Image Processing (TIP) 

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Unsupervised Degradation Learning for Single Image Super-Resolution

Dec 13, 2018
Tianyu Zhao, Wenqi Ren, Changqing Zhang, Dongwei Ren, Qinghua Hu

* 9 pages, 9 figures 

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Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image

May 19, 2018
Huazhu Fu, Jun Cheng, Yanwu Xu, Changqing Zhang, Damon Wing Kee Wong, Jiang Liu, Xiaochun Cao

* Project homepage: https://hzfu.github.io/proj_glaucoma_fundus.html , and Accepted by IEEE Transactions on Medical Imaging 

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K-means clustering for efficient and robust registration of multi-view point sets

Apr 30, 2018
Zutao Jiang, Jihua Zhu, Georgios D. Evangelidis, Changqing Zhang, Shanmin Pang, Yaochen Li


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Saliency Detection for Stereoscopic Images Based on Depth Confidence Analysis and Multiple Cues Fusion

Oct 14, 2017
Runmin Cong, Jianjun Lei, Changqing Zhang, Qingming Huang, Xiaochun Cao, Chunping Hou

* 5 pages, 6 figures, Published on IEEE Signal Processing Letters 2016, Project URL: https://rmcong.github.io/proj_RGBD_sal.html 

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