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Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions


Jul 30, 2021
Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng

* 27 pages, 19 figures 

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A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation


Jul 26, 2021
Heran Yang, Jian Sun, Liwei Yang, Zongben Xu

* 11 pages, 4 figures, accepted by MICCAI 2021 

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Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks


Jul 06, 2021
Jun Shu, Deyu Meng, Zongben Xu

* 59 pages. arXiv admin note: text overlap with arXiv:1904.03758 by other authors 

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Understanding Deep MIMO Detection


May 11, 2021
Qiang Hu, Feifei Gao, Hao Zhang, Geoffrey Y. Li, Zongben Xu


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Training Networks in Null Space of Feature Covariance for Continual Learning


Mar 17, 2021
Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu

* Accepted as an oral of CVPR2021 

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Training Networks in Null Space of Covariance for Continual Learning


Mar 12, 2021
Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu


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Learning adaptive differential evolution algorithm from optimization experiences by policy gradient


Feb 06, 2021
Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu


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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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