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Amortized Variational Deep Q Network

Nov 03, 2020
Haotian Zhang, Yuhao Wang, Jianyong Sun, Zongben Xu

* Accepted to appear in the Deep Reinforcement Learning Workshop at NeurIPS 2020 

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Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction

Sep 03, 2020
Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu

* 11 pages 

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Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field

Aug 05, 2020
Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu

* IEEE Transactions on Image Processing (2020) 

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Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize

Jul 31, 2020
Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu

* 21 pages 

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Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

Jul 15, 2020
Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu


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Meta Transition Adaptation for Robust Deep Learning with Noisy Labels

Jun 12, 2020
Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng

* 14 pages 

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Graph Neural Network Encoding for Community Detection in Attribute Networks

Jun 06, 2020
Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu


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On Hyper-parameter Tuning for Stochastic Optimization Algorithms

Mar 10, 2020
Haotian Zhang, Jianyong Sun, Zongben Xu

* Our explanation of reinforcement learning for adjustment algorithm is far fetched in Section ?B 

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Learning to be Global Optimizer

Mar 10, 2020
Haotian Zhang, Jianyong Sun, Zongben Xu


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Adaptive Structural Hyper-Parameter Configuration by Q-Learning

Mar 02, 2020
Haotian Zhang, Jianyong Sun, Zongben Xu


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Learning Adaptive Loss for Robust Learning with Noisy Labels

Feb 16, 2020
Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng

* 10pages 

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Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels

Feb 22, 2019
Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng

* 10 pages, 4 figures, 2 tables 

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Tug the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels

Feb 20, 2019
Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng

* 10 pages, 4 figures, 2 tables 

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Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

Jan 10, 2019
Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu

* 10 pages, 7 figures 

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HyperAdam: A Learnable Task-Adaptive Adam for Network Training

Nov 22, 2018
Shipeng Wang, Jian Sun, Zongben Xu


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Model-Driven Deep Learning for Physical Layer Communications

Sep 17, 2018
Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu

* 14 pages,6 figures 

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Learning through deterministic assignment of hidden parameters

Sep 13, 2018
Jian Fang, Shaobo Lin, Zongben Xu


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Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN

Sep 12, 2018
Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry Prince

* 8 pages, 5 figures, accepted by MICCAI 2018 Workshop: Deep Learning in Medical Image Analysis (DLMIA) 

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Small Sample Learning in Big Data Era

Aug 22, 2018
Jun Shu, Zongben Xu, Deyu Meng

* 76 pages, 15 figures, survey of small sample learning 

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Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images

Aug 01, 2018
Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu

* Heran Yang, et al. Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images, Medical Image Analysis, 2018, ISSN 1361-8415 
* Medical Image Analysis 

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Semi-supervised CNN for Single Image Rain Removal

Jul 29, 2018
Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu

* 16 pages 

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Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network

Nov 12, 2017
Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John Paisley


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SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning

Jun 23, 2017
Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Zongben Xu

* 13 pages, 5 figures 

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ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

May 19, 2017
Yan Yang, Jian Sun, Huibin Li, Zongben Xu


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Denoising Hyperspectral Image with Non-i.i.d. Noise Structure

Feb 01, 2017
Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu

* 13 pages, 14 figures 

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Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements

Jun 05, 2016
Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu

* To appear in IEEE TIP 

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Greedy Criterion in Orthogonal Greedy Learning

Apr 20, 2016
Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Zongben Xu

* 12 pages, 6 figures. arXiv admin note: text overlap with arXiv:1411.3553 

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