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Zong-Ben Xu
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- affiliation: Xi'an Jiaotong University
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2020 – today
- 2023
[j231]Haotian Zhang
, Jianyong Sun, Thomas Bäck, Qingfu Zhang, Zongben Xu:
Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. 18(1): 84-103 (2023)- [j230]Haotian Zhang, Jianyong Sun, Zongben Xu, Jialong Shi:
Learning unified mutation operator for differential evolution by natural evolution strategies. Inf. Sci. 632: 594-616 (2023) - [j229]Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu:
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3505-3521 (2023) - [j228]Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng:
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4537-4551 (2023) - [j227]Cuican Yu, Zihui Zhang, Huibin Li, Jian Sun, Zongben Xu:
Meta-learning-based adversarial training for deep 3D face recognition on point clouds. Pattern Recognit. 134: 109065 (2023) - [j226]Feipeng Li, Jinghuai Gao, Zhaoqi Gao, Chuang Li, Qingzhen Wang, Wenbo Sun, Zongben Xu:
Generating Azimuth-Reflection Angle Gathers From Reverse Time Migration Using the High-Dimensional Local Phase Space Approximation of Seismic Wavefields. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [i59]Kehui Ding, Jun Shu, Deyu Meng, Zongben Xu:
Improve Noise Tolerance of Robust Loss via Noise-Awareness. CoRR abs/2301.07306 (2023) - [i58]Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu:
Keypoint-Guided Optimal Transport. CoRR abs/2303.13102 (2023) - [i57]Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu:
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning. CoRR abs/2305.07892 (2023) - 2022
- [j225]Xiaobo Liu, Wei Xue, Xiaoming Chen, Anxue Zhang, Qiang Cheng, Zongben Xu:
On the uniqueness of virtual substrate for metasurface in a dielectric half-space. Sci. China Inf. Sci. 65(1) (2022) - [j224]Xiaohui Yang, Zheng Wang, Jian Sun, Zongben Xu:
Unlabeled data driven cost-sensitive inverse projection sparse representation-based classification with 1/2 regularization. Sci. China Inf. Sci. 65(8): 1-18 (2022) - [j223]Yuwen Yang, Feifei Gao, Mingjin Wang, Jiang Xue, Zongben Xu:
Dynamic Neural Network for MIMO Detection. IEEE J. Sel. Areas Commun. 40(8): 2254-2266 (2022) - [j222]Jianyong Sun, Qingming Kong, Zongben Xu:
Deep alternating non-negative matrix factorisation. Knowl. Based Syst. 251: 109210 (2022) - [j221]Qi Xie, Minghao Zhou, Qian Zhao, Zongben Xu, Deyu Meng:
MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1457-1473 (2022) - [j220]Shipeng Wang, Yan Yang, Jian Sun, Zongben Xu:
Variational HyperAdam: A Meta-Learning Approach to Network Training. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4469-4484 (2022) - [j219]Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu:
Graph Neural Network Encoding for Community Detection in Attribute Networks. IEEE Trans. Cybern. 52(8): 7791-7804 (2022) - [j218]Xiangyong Cao, Xueyang Fu, Danfeng Hong, Zongben Xu, Deyu Meng:
PanCSC-Net: A Model-Driven Deep Unfolding Method for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j217]Zhaoqi Gao, Sichao Hu, Chuang Li, Hongling Chen, Xiudi Jiang, Zhibin Pan, Jinghuai Gao, Zongben Xu:
A Deep-Learning-Based Generalized Convolutional Model For Seismic Data and Its Application in Seismic Deconvolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j216]Zhaoqi Gao, Wei Yang, Chuang Li, Feipeng Li, Qingzhen Wang, Jicai Ding, Jinghuai Gao, Zongben Xu:
Self-Supervised Deep Learning for Nonlinear Seismic Full Waveform Inversion. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j215]Naihao Liu, Teng Huang, Jinghuai Gao, Zongben Xu, Daxing Wang, Fangyu Li:
Quantum-Enhanced Deep Learning-Based Lithology Interpretation From Well Logs. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j214]Naihao Liu, Fangyu Li, Dehua Wang, Jinghuai Gao, Zongben Xu:
Ground-Roll Separation and Attenuation Using Curvelet-Based Multichannel Variational Mode Decomposition. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j213]Linan Xu, Zhaoqi Gao, Sichao Hu, Jinghuai Gao, Zongben Xu:
Simultaneous Inversion for Reflectivity and Q Using Nonstationary Seismic Data With Deep-Learning-Based Decoupling. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j212]Jing Yao, Xiangyong Cao, Danfeng Hong, Xin Wu, Deyu Meng, Jocelyn Chanussot, Zongben Xu:
Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j211]Jing Yao, Danfeng Hong, Lin Xu, Deyu Meng, Jocelyn Chanussot, Zongben Xu:
Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j210]Xunmeng Wu, Zai Yang, Petre Stoica, Zongben Xu:
Maximum Likelihood Line Spectral Estimation in the Signal Domain: A Rank-Constrained Structured Matrix Recovery Approach. IEEE Trans. Signal Process. 70: 4156-4169 (2022) - [j209]Yiqing Zhang, Jianyong Sun, Jiang Xue, Geoffrey Ye Li, Zongben Xu:
Deep Expectation-Maximization for Joint MIMO Channel Estimation and Signal Detection. IEEE Trans. Signal Process. 70: 4483-4497 (2022) - [j208]Heng Du, Yun Deng, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu:
Robust Online CSI Estimation in a Complex Environment. IEEE Trans. Wirel. Commun. 21(10): 8322-8336 (2022) - [c68]Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. ECCV (19) 2022: 235-253 - [c67]Haotian Zhang, Jialong Shi, Jianyong Sun, Zongben Xu:
Learning to balance exploration and exploitation in pareto local search for multi-objective combinatorial optimization. GECCO Companion 2022: 383-386 - [c66]Shibo Wang, Shusen Yang, Hailiang Li, Xiaodan Zhang, Chen Zhou, Chenren Xu, Feng Qian, Nanbin Wang, Zongben Xu:
SalientVR: saliency-driven mobile 360-degree video streaming with gaze information. MobiCom 2022: 542-555 - [c65]Xiang Gu, Yucheng Yang, Wei Zeng, Jian Sun, Zongben Xu:
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation. NeurIPS 2022 - [c64]Xuebin Ren, Liang Shi, Weiren Yu, Shusen Yang, Cong Zhao, Zongben Xu:
LDP-IDS: Local Differential Privacy for Infinite Data Streams. SIGMOD Conference 2022: 1064-1077 - [c63]Feng Li, Gang Dai, Heng Du, Yiqing Zhang, Zhengyang Hu, Guanzhang Liu, Runhua Li, Jiang Xue, Zongben Xu:
Unified Mathematical Framework for Intelligent Transceiver Design. VTC Fall 2022: 1-5 - [i56]Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu:
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. CoRR abs/2202.05613 (2022) - [i55]Xuebin Ren, Liang Shi, Weiren Yu, Shusen Yang, Cong Zhao, Zongben Xu:
LDP-IDS: Local Differential Privacy for Infinite Data Streams. CoRR abs/2204.00526 (2022) - [i54]Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. CoRR abs/2209.10305 (2022) - 2021
- [j207]Cuican Yu, Zihui Zhang, Huibin Li, Jian Sun, Zongben Xu:
A distribution independence based method for 3D face shape decomposition. Comput. Vis. Image Underst. 210: 103244 (2021) - [j206]Lixuan Yi, Qian Zhao, Wei Wei, Zongben Xu:
Robust online rain removal for surveillance videos with dynamic rains. Knowl. Based Syst. 222: 107006 (2021) - [j205]Zhaoqi Gao, Chuang Li, Tao Yang, Zhibin Pan, Jinghuai Gao, Zongben Xu:
OMMDE-Net: A Deep Learning-Based Global Optimization Method for Seismic Inversion. IEEE Geosci. Remote. Sens. Lett. 18(2): 208-212 (2021) - [j204]Chen Qiao, Lan Yang, Vince D. Calhoun, Zong-Ben Xu, Yu-Ping Wang:
Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study. Neural Networks 135: 91-104 (2021) - [j203]Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng, Yee Leung:
Variational Bayes' Method for Functions with Applications to Some Inverse Problems. SIAM J. Sci. Comput. 43(1): A355-A383 (2021) - [j202]Tian-Hui Ma, Zongben Xu, Deyu Meng, Xi-Le Zhao:
Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1628-1644 (2021) - [j201]Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Xiuwu Liao, Zongben Xu:
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning. IEEE Trans. Cybern. 51(3): 1556-1570 (2021) - [j200]Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu:
Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient. IEEE Trans. Evol. Comput. 25(4): 666-680 (2021) - [j199]Zhaoqi Gao, Chuang Li, Naihao Liu, Zhibin Pan, Jinghuai Gao, Zongben Xu:
Large-Dimensional Seismic Inversion Using Global Optimization With Autoencoder-Based Model Dimensionality Reduction. IEEE Trans. Geosci. Remote. Sens. 59(2): 1718-1732 (2021) - [j198]Danfeng Hong, Jing Yao, Deyu Meng, Zongben Xu, Jocelyn Chanussot:
Multimodal GANs: Toward Crossmodal Hyperspectral-Multispectral Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 59(6): 5103-5113 (2021) - [c62]Haotian Zhang, Jianyong Sun, Zongben Xu:
Learning to Mutate for Differential Evolution. CEC 2021: 1-8 - [c61]Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu:
Training Networks in Null Space of Feature Covariance for Continual Learning. CVPR 2021: 184-193 - [c60]Heran Yang, Jian Sun, Liwei Yang, Zongben Xu:
A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation. MICCAI (3) 2021: 127-137 - [c59]Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu:
Adversarial Reweighting for Partial Domain Adaptation. NeurIPS 2021: 14860-14872 - [i53]Xunmeng Wu, Zai Yang, Zongben Xu:
Robust spectral compressive sensing via vanilla gradient descent. CoRR abs/2101.08547 (2021) - [i52]Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu:
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient. CoRR abs/2102.03572 (2021) - [i51]Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu:
Training Networks in Null Space of Feature Covariance for Continual Learning. CoRR abs/2103.07113 (2021) - [i50]Jun Shu, Deyu Meng, Zongben Xu:
Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks. CoRR abs/2107.02378 (2021) - [i49]Heran Yang, Jian Sun, Liwei Yang, Zongben Xu:
A Unified Hyper-GAN Model for Unpaired Multi-contrast MR Image Translation. CoRR abs/2107.11945 (2021) - [i48]Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng:
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. CoRR abs/2107.14519 (2021) - 2020
- [j197]Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng:
Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising. Sci. China Inf. Sci. 63(12) (2020) - [j196]Yan Yang, Jian Sun, Huibin Li, Zongben Xu:
ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 521-538 (2020) - [j195]Benzhi Chen, Lisheng Wang, Xiuying Wang, Jian Sun, Yijie Huang, Dagan Feng, Zongben Xu:
Abnormality detection in retinal image by individualized background learning. Pattern Recognit. 102: 107209 (2020) - [j194]Tian-Hui Ma, Zongben Xu, Deyu Meng:
Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling. Remote. Sens. 12(8): 1278 (2020) - [j193]Yang Chen, Yudu Li, Zongben Xu:
Improved Low-Rank Filtering of MR Spectroscopic Imaging Data With Pre-Learnt Subspace and Spatial Constraints. IEEE Trans. Biomed. Eng. 67(8): 2381-2388 (2020) - [j192]Jian Fang, Shaobo Lin, Zongben Xu:
Learning Through Deterministic Assignment of Hidden Parameters. IEEE Trans. Cybern. 50(5): 2321-2334 (2020) - [j191]Xiangyong Cao, Jing Yao, Zongben Xu, Deyu Meng:
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning. IEEE Trans. Geosci. Remote. Sens. 58(7): 4604-4616 (2020) - [j190]Kaidong Wang, Yao Wang, Xi-Le Zhao, Jonathan Cheung-Wai Chan, Zongben Xu, Deyu Meng:
Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 58(11): 7654-7671 (2020) - [j189]Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu:
Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field. IEEE Trans. Image Process. 29: 6601-6614 (2020) - [j188]Dong Zeng, Lisha Yao, Yongshuai Ge, Sui Li, Qi Xie, Hao Zhang, Zhaoying Bian, Qian Zhao, Yuanqing Li, Zongben Xu, Deyu Meng, Jianhua Ma:
Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction. IEEE Trans. Medical Imaging 39(9): 2831-2843 (2020) - [j187]Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Jerry L. Prince, Zongben Xu:
Unsupervised MR-to-CT Synthesis Using Structure-Constrained CycleGAN. IEEE Trans. Medical Imaging 39(12): 4249-4261 (2020) - [j186]Jianyong Sun, Yiqing Zhang, Jiang Xue, Zongben Xu:
Learning to Search for MIMO Detection. IEEE Trans. Wirel. Commun. 19(11): 7571-7584 (2020) - [c58]Haotian Zhang, Jianyong Sun, Zongben Xu:
Adaptive Structural Hyper-Parameter Configuration by Q-Learning. CEC 2020: 1-8 - [c57]Xiang Gu, Jian Sun, Zongben Xu:
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss. CVPR 2020: 9098-9107 - [c56]Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu:
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. ECCV (29) 2020: 208-224 - [c55]Zhengyang Hu, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu:
MEP-Based Channel Estimation under Complex Communication Environment. ICC 2020: 1-5 - [c54]Yan Yang, Na Wang, Heran Yang, Jian Sun, Zongben Xu:
Model-Driven Deep Attention Network for Ultra-fast Compressive Sensing MRI Guided by Cross-contrast MR Image. MICCAI (2) 2020: 188-198 - [c53]Zongben Xu:
On Presuppositions of Machine Learning: A Meta Theory. SIGIR 2020: 4 - [i47]Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng:
Learning Adaptive Loss for Robust Learning with Noisy Labels. CoRR abs/2002.06482 (2020) - [i46]Haotian Zhang, Jianyong Sun, Zongben Xu:
Adaptive Structural Hyper-Parameter Configuration by Q-Learning. CoRR abs/2003.00863 (2020) - [i45]Haotian Zhang, Jianyong Sun, Zongben Xu:
On Hyper-parameter Tuning for Stochastic Optimization Algorithms. CoRR abs/2003.02038 (2020) - [i44]Haotian Zhang, Jianyong Sun, Zongben Xu:
Learning to be Global Optimizer. CoRR abs/2003.04521 (2020) - [i43]Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu:
Graph Neural Network Encoding for Community Detection in Attribute Networks. CoRR abs/2006.03996 (2020) - [i42]Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng:
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels. CoRR abs/2006.05697 (2020) - [i41]Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu:
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. CoRR abs/2007.05230 (2020) - [i40]Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu:
Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize. CoRR abs/2007.14546 (2020) - [i39]Haixia Bi, Lin Xu, Xiangyong Cao, Yong Xue, Zongben Xu:
Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field. CoRR abs/2008.11014 (2020) - [i38]Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu:
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. CoRR abs/2009.00792 (2020) - [i37]Haotian Zhang, Yuhao Wang, Jianyong Sun, Zongben Xu:
Amortized Variational Deep Q Network. CoRR abs/2011.01706 (2020)
2010 – 2019
- 2019
- [j185]Mingwei Dai, Xiang Wan, Hao Peng, Yao Wang, Yue Liu, Jin Liu, Zongben Xu, Can Yang:
Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy. Bioinform. 35(10): 1729-1736 (2019) - [j184]Xiangyong Cao, Zongben Xu, Deyu Meng:
Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field. Remote. Sens. 11(13): 1565 (2019) - [j183]Haixia Bi, Jian Sun, Zongben Xu:
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(4): 2116-2132 (2019) - [j182]Zhaoqi Gao, Zhibin Pan, Chen Zuo, Jinghuai Gao, Zongben Xu:
An Optimized Deep Network Representation of Multimutation Differential Evolution and its Application in Seismic Inversion. IEEE Trans. Geosci. Remote. Sens. 57(7): 4720-4734 (2019) - [j181]Haixia Bi, Feng Xu, Zhiqiang Wei, Yong Xue, Zongben Xu:
An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(11): 9378-9395 (2019) - [j180]Jing Yao, Deyu Meng, Qian Zhao, Wenfei Cao, Zongben Xu:
Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing. IEEE Trans. Image Process. 28(6): 2991-3006 (2019) - [j179]Sui Li, Dong Zeng, Jiangjun Peng, Zhaoying Bian, Hao Zhang, Qi Xie, Yongbo Wang, Yuting Liao, Shanli Zhang, Jing Huang, Deyu Meng, Zongben Xu, Jianhua Ma:
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization. IEEE Trans. Medical Imaging 38(2): 360-370 (2019) - [j178]Ji He, Yan Yang, Yongbo Wang, Dong Zeng, Zhaoying Bian, Hao Zhang, Jian Sun, Zongben Xu, Jianhua Ma:
Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction. IEEE Trans. Medical Imaging 38(2): 371-382 (2019) - [j177]Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu:
Model-Driven Deep Learning for Physical Layer Communications. IEEE Wirel. Commun. 26(5): 77-83 (2019) - [c52]Shipeng Wang, Jian Sun, Zongben Xu:
HyperAdam: A Learnable Task-Adaptive Adam for Network Training. AAAI 2019: 5297-5304 - [c51]Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu:
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. CVPR 2019: 1585-1594 - [c50]Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu:
Semi-Supervised Transfer Learning for Image Rain Removal. CVPR 2019: 3877-3886 - [c49]Haipei Zhang, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu:
Robust CSI Estimation Under Complex Communication Environment. ICC 2019: 1-6 - [c48]Haixia Bi, Feng Xu, Zhiqiang Wei, Yibo Han, Yuanlong Cui, Yong Xue, Zongben Xu:
Unsupervised PolSAR Image Factorization with Deep Convolutional Networks. IGARSS 2019: 1061-1064 - [c47]Haixia Bi, Feng Xu, Zhiqiang Wei, Yibo Han, Yuanlong Cui, Yong Xue, Zongben Xu:
An Active Deep Learning Approach for Minimally-Supervised Polsar Image Classification. IGARSS 2019: 3185-3188 - [c46]Nan Meng, Yan Yang, Zongben Xu, Jian Sun:
A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging. MICCAI (4) 2019: 732-740 - [c45]Jian Sun, Zongben Xu:
Neural Diffusion Distance for Image Segmentation. NeurIPS 2019: 1441-1451 - [c44]Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng:
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting. NeurIPS 2019: 1917-1928 - [i36]Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu:
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. CoRR abs/1901.03281 (2019) - [i35]Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng:
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels. CoRR abs/1902.07379 (2019) - [i34]Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng:
Variational Bayes' method for functions with applications to some inverse problems. CoRR abs/1907.03889 (2019) - 2018
- [j176]Fenghui Wang, Wenfei Cao, Zongben Xu:
Convergence of multi-block Bregman ADMM for nonconvex composite problems. Sci. China Inf. Sci. 61(12): 122101:1-122101:12 (2018) - [j175]Jing Yao, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Robust subspace clustering via penalized mixture of Gaussians. Neurocomputing 278: 4-11 (2018) - [j174]Benzhi Chen, Lisheng Wang, Jian Sun, Huai Chen, Yinghua Fu, Shouren Lan, Yijie Huang, Zongben Xu:
Diverse lesion detection from retinal images by subspace learning over normal samples. Neurocomputing 297: 59-70 (2018) - [j173]Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu:
Neural multi-atlas label fusion: Application to cardiac MR images. Medical Image Anal. 49: 60-75 (2018) - [j172]