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Zong-Ben Xu
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Journal Articles
- 2025
[j268]Cuican Yu, Fengxun Sun, Zihui Zhang, Huibin Li
, Liming Chen, Jian Sun, Zongben Xu:
Adaptive representation learning and sample weighting for low-quality 3D face recognition. Pattern Recognit. 159: 111161 (2025)- 2024
- [j267]Xiang Gu, Jian Sun, Zongben Xu:
Adversarial data splitting for domain generalization. Sci. China Inf. Sci. 67(5) (2024) - [j266]Yuqian Yang, Shusen Yang, Cong Zhao, Zongben Xu:
TelOps: AI-Driven Operations and Maintenance for Telecommunication Networks. IEEE Commun. Mag. 62(4): 104-110 (2024) - [j265]Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu:
Adversarial Reweighting with α-Power Maximization for Domain Adaptation. Int. J. Comput. Vis. 132(10): 4768-4791 (2024) - [j264]Fan Wang, Yating Wang, Wing Tat Leung, Zongben Xu:
Learning-based multi-continuum model for multiscale flow problems. J. Comput. Phys. 514: 113222 (2024) - [j263]Qingming Kong, Jianyong Sun, Zongben Xu:
Joint orthogonal symmetric non-negative matrix factorization for community detection in attribute network. Knowl. Based Syst. 283: 111192 (2024) - [j262]Kun Chen, Junchen Liang, Junmin Liu, Weilin Shen, Zongben Xu, Zhengjian Yao:
Entropy regularized fuzzy nonnegative matrix factorization for data clustering. Int. J. Mach. Learn. Cybern. 15(2): 459-476 (2024) - [j261]Xiang Gu, Jian Sun, Zongben Xu:
Unsupervised and Semi-Supervised Robust Spherical Space Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1757-1774 (2024) - [j260]Jiahong Fu, Qi Xie, Deyu Meng, Zongben Xu:
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6577-6593 (2024) - [j259]Xing Li, Yan Yang, Hairong Zheng, Zongben Xu:
ISP-IRLNet: Joint optimization of interpretable sampler and implicit regularization learning network for accerlerated MRI. Pattern Recognit. 151: 110412 (2024) - [j258]Zhen Li, Zhaoqi Gao, Liang Chen, Jinghuai Gao, Zongben Xu:
The Synchrosqueezed Method and Its Theory-Analysis-Based Novel Short-Time Fractional Fourier Transform for Chirp Signals. Remote. Sens. 16(7): 1173 (2024) - [j257]Lixuan Yi, Qian Zhao, Zongben Xu:
Hyperspectral Image Denoising by Pixel-Wise Noise Modeling and TV-Oriented Deep Image Prior. Remote. Sens. 16(15): 2694 (2024) - [j256]Xunmeng Wu, Zai Yang, Zongben Xu:
Multichannel Frequency Estimation with Constant Amplitude via Convex Structured Low-Rank Approximation. SIAM J. Matrix Anal. Appl. 45(3): 1643-1668 (2024) - [j255]Qingming Kong, Jianyong Sun, Yongquan Zhang, Zongben Xu:
Probabilistic Matrix Factorization for Data With Attributes Based on Finite Mixture Modeling. IEEE Trans. Cybern. 54(2): 1154-1166 (2024) - [j254]Zhaoqi Gao, Meiqian Guo, Chuang Li, Zhen Li, Jinghuai Gao, Zongben Xu:
Deep Learning Accelerated Blind Seismic Acoustic-Impedance Inversion. IEEE Trans. Geosci. Remote. Sens. 62: 1-22 (2024) - [j253]Shibo Wang, Shusen Yang, Hairong Su, Cong Zhao, Chenren Xu, Feng Qian, Nanbin Wang, Zongben Xu:
Robust Saliency-Driven Quality Adaptation for Mobile 360-Degree Video Streaming. IEEE Trans. Mob. Comput. 23(2): 1312-1329 (2024) - [j252]Xing Li, Kaili Jing, Yan Yang, Yongbo Wang, Jianhua Ma, Hairong Zheng, Zongben Xu:
Noise-Generating and Imaging Mechanism Inspired Implicit Regularization Learning Network for Low Dose CT Reconstrution. IEEE Trans. Medical Imaging 43(5): 1677-1689 (2024) - [j251]Yiqing Zhang, Jianyong Sun, Jiang Xue, Zongben Xu:
Improving Signal Detector by Precoding in Uplink Multiuser MIMO System. IEEE Trans. Veh. Technol. 73(1): 938-951 (2024) - [j250]Xunmeng Wu, Zai Yang, Zhiqiang Wei, Zongben Xu:
Direction-of-Arrival Estimation for Constant Modulus Signals Using a Structured Matrix Recovery Technique. IEEE Trans. Wirel. Commun. 23(4): 3117-3130 (2024) - 2023
- [j249]Zhengyang Hu, Jiang Xue, Feng Li, Qian Zhao, Deyu Meng, Zongben Xu:
Robust channel estimation based on the maximum entropy principle. Sci. China Inf. Sci. 66(12) (2023) - [j248]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) - [j247]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) - [j246]Yannan Pu, Jian Sun, Niansheng Tang, Zongben Xu:
Deep expectation-maximization network for unsupervised image segmentation and clustering. Image Vis. Comput. 135: 104717 (2023) - [j245]Fan Wang, Xiang Gu, Jian Sun, Zongben Xu:
Learning-based local weighted least squares for algebraic multigrid method. J. Comput. Phys. 493: 112437 (2023) - [j244]Jun Shu, Deyu Meng, Zongben Xu:
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks. J. Mach. Learn. Res. 24: 186:1-186:74 (2023) - [j243]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) - [j242]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) - [j241]Jun Shu, Xiang Yuan, Deyu Meng, Zongben Xu:
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11521-11539 (2023) - [j240]Xiaorong Li, Shipeng Wang, Jian Sun, Zongben Xu:
Variational Data-Free Knowledge Distillation for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12618-12634 (2023) - [j239]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) - [j238]Xiaorong Li, Shipeng Wang, Jian Sun, Zongben Xu:
Memory efficient data-free distillation for continual learning. Pattern Recognit. 144: 109875 (2023) - [j237]Yan Yang, Yizhou Wang, Jiazhen Wang, Jian Sun, Zongben Xu:
An Unrolled Implicit Regularization Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging with Convergence Guarantee. SIAM J. Imaging Sci. 16(3): 1791-1824 (2023) - [j236]Jiazhen Wang, Yan Yang, Heran Yang, Chunfeng Lian, Zongben Xu, Jian Sun:
MD-GraphFormer: A Model-Driven Graph Transformer for Fast Multi-Contrast MR Imaging. IEEE Trans. Computational Imaging 9: 1018-1030 (2023) - [j235]Wei Zheng, Jianyong Sun, Qingfu Zhang, Zongben Xu:
Continuous Encoding for Overlapping Community Detection in Attributed Network. IEEE Trans. Cybern. 53(9): 5469-5482 (2023) - [j234]Haotian Zhang, Jianyong Sun, Kay Chen Tan, Zongben Xu:
Learning Adaptive Differential Evolution by Natural Evolution Strategies. IEEE Trans. Emerg. Top. Comput. Intell. 7(3): 872-886 (2023) - [j233]Haotian Zhang, Jianyong Sun, Yuhao Wang, Jialong Shi, Zongben Xu:
Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1511-1526 (2023) - [j232]Xin Liu, Jianyong Sun, Qingfu Zhang, Zhenkun Wang, Zongben Xu:
Learning to Learn Evolutionary Algorithm: A Learnable Differential Evolution. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1605-1620 (2023) - [j231]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) - [j230]Heran Yang, Jian Sun, Zongben Xu:
Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and Tumor Segmentation With Missing Modalities. IEEE Trans. Medical Imaging 42(12): 3678-3689 (2023) - [j229]Xunmeng Wu, Zai Yang, Zongben Xu:
Multichannel Frequency Estimation in Challenging Scenarios via Structured Matrix Embedding and Recovery (StruMER). IEEE Trans. Signal Process. 71: 3242-3256 (2023) - [j228]Qian Xu, Jianyong Sun, Zongben Xu:
Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System. IEEE Trans. Veh. Technol. 72(12): 15941-15952 (2023) - [j227]Yuwen Yang, Feifei Gao, Jiang Xue, Ting Zhou, Zongben Xu:
MIMO Detector Selection With Federated Learning. IEEE Trans. Wirel. Commun. 22(7): 4654-4667 (2023) - [j226]Qiang Hu, Feifei Gao, Hao Zhang, Geoffrey Ye Li, Zongben Xu:
Understanding Deep MIMO Detection. IEEE Trans. Wirel. Commun. 22(12): 9626-9639 (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) - 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) - 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) - 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) - 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]Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1888-1902 (2018) - [j171]Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, Zongben Xu:
Greedy Criterion in Orthogonal Greedy Learning. IEEE Trans. Cybern. 48(3): 955-966 (2018) - [j170]Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Denoising Hyperspectral Image With Non-i.i.d. Noise Structure. IEEE Trans. Cybern. 48(3): 1054-1066 (2018) - [j169]Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley:
Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network. IEEE Trans. Image Process. 27(5): 2354-2367 (2018) - [j168]Hui Li, Qingfu Zhang, Jingda Deng, Zong-Ben Xu:
A Preference-Based Multiobjective Evolutionary Approach for Sparse Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1716-1731 (2018) - 2017
- [j167]Mingwei Dai, Jingsi Ming, Mingxuan Cai, Jin Liu, Can Yang, Xiang Wan, Zongben Xu:
IGESS: a statistical approach to integrating individual-level genotype data and summary statistics in genome-wide association studies. Bioinform. 33(18): 2882-2889 (2017) - [j166]Xiangyong Cao, Lin Xu, Deyu Meng, Qian Zhao, Zongben Xu:
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. Neurocomputing 226: 90-100 (2017) - [j165]Tieliang Gong, Zongben Xu, Hong Chen:
Generalization Analysis of Fredholm Kernel Regularized Classifiers. Neural Comput. 29(7): 1879-1901 (2017) - [j164]Haixia Bi, Jian Sun, Zongben Xu:
Unsupervised PolSAR Image Classification Using Discriminative Clustering. IEEE Trans. Geosci. Remote. Sens. 55(6): 3531-3544 (2017) - [j163]Qi Xie, Dong Zeng, Qian Zhao, Deyu Meng, Zongben Xu, Zhengrong Liang, Jianhua Ma:
Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism. IEEE Trans. Medical Imaging 36(12): 2487-2498 (2017) - [j162]Dong Zeng, Qi Xie, Wenfei Cao, Jiahui Lin, Hao Zhang, Shanli Zhang, Jing Huang, Zhaoying Bian, Deyu Meng, Zongben Xu, Zhengrong Liang, Wufan Chen, Jianhua Ma:
Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization. IEEE Trans. Medical Imaging 36(12): 2546-2556 (2017) - [j161]Xiaofeng Zhu, Xuelong Li, Shichao Zhang, Zongben Xu, Litao Yu, Can Wang:
Graph PCA Hashing for Similarity Search. IEEE Trans. Multim. 19(9): 2033-2044 (2017) - [j160]Huibin Li, Jian Sun, Zongben Xu, Liming Chen:
Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network. IEEE Trans. Multim. 19(12): 2816-2831 (2017) - [j159]Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu:
Shrinkage Degree in L2-Rescale Boosting for Regression. IEEE Trans. Neural Networks Learn. Syst. 28(8): 1851-1864 (2017) - [j158]Shouren Lan, Lisheng Wang, Yipeng Song, Yu-Ping Wang, Liping Yao, Kun Sun, Bin Xia, Zongben Xu:
Improving Separability of Structures with Similar Attributes in 2D Transfer Function Design. IEEE Trans. Vis. Comput. Graph. 23(5): 1546-1560 (2017) - 2016
- [j157]Jian Fang, Dongdong Lin, S. Charles Schulz, Zongben Xu, Vince D. Calhoun, Yu-Ping Wang:
Joint sparse canonical correlation analysis for detecting differential imaging genetics modules. Bioinform. 32(22): 3480-3488 (2016) - [j156]Lin Xu, Shaobo Lin, Zongben Xu:
Learning capability of the truncated greedy algorithm. Sci. China Inf. Sci. 59(5): 052103:1-052103:15 (2016) - [j155]Shiying He, Yao Wang, Jianjun Wang, Zongben Xu:
Block-sparse compressed sensing with partially known signal support via non-convex minimisation. IET Signal Process. 10(7): 717-723 (2016) - [j154]Jian Fang, Shaobo Lin, Zongben Xu:
Learning and approximation capabilities of orthogonal super greedy algorithm. Knowl. Based Syst. 95: 86-98 (2016) - [j153]Zhihai Yang, Lin Xu, Zhongmin Cai, Zongben Xu:
Re-scale AdaBoost for attack detection in collaborative filtering recommender systems. Knowl. Based Syst. 100: 74-88 (2016) - [j152]Fengmin Xu, Zhaosong Lu, Zongben Xu:
An efficient optimization approach for a cardinality-constrained index tracking problem. Optim. Methods Softw. 31(2): 258-271 (2016) - [j151]Tieliang Gong, Bin Zou, Zongben Xu:
Learning With ℓ1-Regularizer Based on Markov Resampling. IEEE Trans. Cybern. 46(5): 1189-1201 (2016) - [j150]Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu:
Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements. IEEE Trans. Image Process. 25(9): 4075-4090 (2016) - [j149]Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu:
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions. IEEE Trans. Image Process. 25(10): 4677-4690 (2016) - [j148]Jinshan Zeng, Shaobo Lin, Zongben Xu:
Sparse Regularization: Convergence Of Iterative Jumping Thresholding Algorithm. IEEE Trans. Signal Process. 64(19): 5106-5118 (2016) - 2015
- [j147]Deyu Meng, Biao Zhang, Zongben Xu, Lei Zhang, Chenqiang Gao:
Robust low-rank tensor factorization by cyclic weighted median. Sci. China Inf. Sci. 58(5): 1-11 (2015) - [j146]Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu:
New Trends of Learning in Computational Intelligence [Guest Editorial]. IEEE Comput. Intell. Mag. 10(2): 16-17 (2015) - [j145]Guang-Bin Huang, Erik Cambria, Kar-Ann Toh, Bernard Widrow, Zongben Xu:
New Trends of Learning in Computational Intelligence (Part II) [Guest Editorial]. IEEE Comput. Intell. Mag. 10(3): 8 (2015) - [j144]Wenfei Cao, Yao Wang, Can Yang, Xiangyu Chang, Zhi Han, Zongben Xu:
Folded-concave penalization approaches to tensor completion. Neurocomputing 152: 261-273 (2015) - [j143]Qian Zhao, Deyu Meng, Zongben Xu, Chenqiang Gao:
A block coordinate descent approach for sparse principal component analysis. Neurocomputing 153: 180-190 (2015) - [j142]Cheng-Yi Zhang, Shuanghua Luo, Zongben Xu:
On parallel multisplitting block iterative methods for linear systems arising in the numerical solution of Euler equations. J. Comput. Appl. Math. 279: 249-260 (2015) - [j141]Zhi Han, Zongben Xu, Song-Chun Zhu:
Video Primal Sketch: A Unified Middle-Level Representation for Video. J. Math. Imaging Vis. 53(2): 151-170 (2015) - [j140]Shaobo Lin, Jinshan Zeng, Lin Xu, Zongben Xu:
Jackson-type inequalities for spherical neural networks with doubling weights. Neural Networks 63: 57-65 (2015) - [j139]Shaobo Lin, Jinshan Zeng, Zongben Xu:
Error Estimate for Spherical Neural Networks Interpolation. Neural Process. Lett. 42(2): 369-379 (2015) - [j138]Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu, Baochang Zhang:
The Generalization Ability of SVM Classification Based on Markov Sampling. IEEE Trans. Cybern. 45(6): 1169-1179 (2015) - [j137]Jian Sun, Jian Sun, Zongben Xu:
Color Image Denoising via Discriminatively Learned Iterative Shrinkage. IEEE Trans. Image Process. 24(11): 4148-4159 (2015) - [j136]Xia Liu, Shaobo Lin, Jian Fang, Zongben Xu:
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I). IEEE Trans. Neural Networks Learn. Syst. 26(1): 7-20 (2015) - [j135]Shaobo Lin, Xia Liu, Jian Fang, Zongben Xu:
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II). IEEE Trans. Neural Networks Learn. Syst. 26(1): 21-34 (2015) - [j134]Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu:
The Generalization Ability of Online SVM Classification Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. 26(3): 628-639 (2015) - [j133]Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Yan Yan:
L1-Norm Low-Rank Matrix Factorization by Variational Bayesian Method. IEEE Trans. Neural Networks Learn. Syst. 26(4): 825-839 (2015) - [j132]Yu Wang, Jinshan Zeng, Zhimin Peng, Xiangyu Chang, Zongben Xu:
Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing. IEEE Trans. Signal Process. 63(11): 2957-2971 (2015) - 2014
- [j131]Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
The L1/2 regularization method for variable selection in the Cox model. Appl. Soft Comput. 14: 498-503 (2014) - [j130]Chun-Zhong Li, Zongben Xu, Chen Qiao, Tao Luo:
Hierarchical clustering driven by cognitive features. Sci. China Inf. Sci. 57(1): 1-14 (2014) - [j129]Qian Zhao, Deyu Meng, Zongben Xu:
Robust sparse principal component analysis. Sci. China Inf. Sci. 57(9): 1-14 (2014) - [j128]Dong Liang, Feng Li, Zongben Xu:
The number of spanning trees in a new lexicographic product of graphs. Sci. China Inf. Sci. 57(11): 1-9 (2014) - [j127]Hui Wang, Ting-Zhu Huang, Zongben Xu, Yilun Wang:
An active contour model and its algorithms with local and global Gaussian distribution fitting energies. Inf. Sci. 263: 43-59 (2014) - [j126]Jie Huang, Ting-Zhu Huang, Xi-Le Zhao, Zongben Xu, Xiao-Guang Lv:
Two soft-thresholding based iterative algorithms for image deblurring. Inf. Sci. 271: 179-195 (2014) - [j125]Shaobo Lin, Xia Liu, Yuanhua Rong, Zongben Xu:
Almost optimal estimates for approximation and learning by radial basis function networks. Mach. Learn. 95(2): 147-164 (2014) - [j124]Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu:
Learning Rates of lq Coefficient Regularization Learning with Gaussian Kernel. Neural Comput. 26(10): 2350-2378 (2014) - [j123]Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu:
Generalization performance of Gaussian kernels SVMC based on Markov sampling. Neural Networks 53: 40-51 (2014) - [j122]Ruihu Li, Luobin Guo, Zongben Xu:
Entanglement-assisted quantum codes achieving the quantum singleton bound but violating the quantum hamming bound. Quantum Inf. Comput. 14(13-14): 1107-1116 (2014) - [j121]Jinshan Zeng, Shaobo Lin, Zongben Xu:
Sparse solution of underdetermined linear equations via adaptively iterative thresholding. Signal Process. 97: 152-161 (2014) - [j120]Yao Wang, Jianjun Wang, Zongben Xu:
Restricted p-isometry properties of nonconvex block-sparse compressed sensing. Signal Process. 104: 188-196 (2014) - [j119]Xin-Ze Luan, Yong Liang, Cheng Liu, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
A novel L1/2 regularization shooting method for Cox's proportional hazards model. Soft Comput. 18(1): 143-152 (2014) - [j118]Feng Li, Zongben Xu:
Sparse Bayesian Hierarchical Prior Modeling Based Cooperative Spectrum Sensing in Wideband Cognitive Radio Networks. IEEE Signal Process. Lett. 21(5): 586-590 (2014) - [j117]Jian Fang, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu:
Fast Compressed Sensing SAR Imaging Based on Approximated Observation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(1): 352-363 (2014) - [j116]Lisheng Wang, Zongben Xu:
Quantitative Studies on Asymptotic Growth Behaviors of Trajectories of Nonlinear Discrete Dynamical Systems. IEEE Trans. Autom. Control. 59(7): 1930-1935 (2014) - [j115]Bin Zou, Yuan Yan Tang, Zongben Xu, Luoqing Li, Jie Xu, Yang Lu:
The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling. IEEE Trans. Cybern. 44(9): 1497-1507 (2014) - [j114]Bo Huang, Huihui Song, Hengbin Cui, Jigen Peng, Zongben Xu:
Spatial and Spectral Image Fusion Using Sparse Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 52(3): 1693-1704 (2014) - [j113]Junmin Liu, Yijun Chen, Jiang-She Zhang, Zongben Xu:
Enhancing Low-Rank Subspace Clustering by Manifold Regularization. IEEE Trans. Image Process. 23(9): 4022-4030 (2014) - [j112]Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu:
L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm. IEEE Trans. Signal Process. 62(9): 2317-2329 (2014) - [j111]Lisheng Wang, Pai Wang, Liuhang Cheng, Yu Ma, Shenzhi Wu, Yu-Ping Wang, Zongben Xu:
Detection and Reconstruction of an Implicit Boundary Surface by Adaptively Expanding A Small Surface Patch in a 3D Image. IEEE Trans. Vis. Comput. Graph. 20(11): 1490-1506 (2014) - 2013
- [j110]Shaobo Lin, Xiaofei Guo, Feilong Cao, Zongben Xu:
Approximation by neural networks with scattered data. Appl. Math. Comput. 224: 29-35 (2013) - [j109]Yong Liang, Cheng Liu, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. BMC Bioinform. 14: 198 (2013) - [j108]Bin Zou, Zhiming Peng, Zongben Xu:
The learning performance of support vector machine classification based on Markov sampling. Sci. China Inf. Sci. 56(3): 1-16 (2013) - [j107]Jie Huang, Ting-Zhu Huang, Xi-Le Zhao, Zongben Xu:
Image restoration with shifting reflective boundary conditions. Sci. China Inf. Sci. 56(6): 1-15 (2013) - [j106]Deyu Meng, Hengbin Cui, Zongben Xu, Kaili Jing:
Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm. Data Knowl. Eng. 88: 25-36 (2013) - [j105]Yao Wang, Jianjun Wang, Zongben Xu:
On recovery of block-sparse signals via mixed l2/lq (0 < q ≤ 1) norm minimization. EURASIP J. Adv. Signal Process. 2013: 76 (2013) - [j104]Liangjun Ke, Zongben Xu, Zuren Feng, Ke Shang, Xueming Qian:
Proportion-based robust optimization and team orienteering problem with interval data. Eur. J. Oper. Res. 226(1): 19-31 (2013) - [j103]Chen Qiao, Wenfeng Jing, Zongben Xu:
The UPPAM continuous-time RNN model and its critical dynamics study. Neurocomputing 106: 158-166 (2013) - [j102]Deyu Meng, Qian Zhao, Yee Leung, Zongben Xu:
Learning dictionary from signals under global sparsity constraint. Neurocomputing 119: 308-318 (2013) - [j101]Jian Sun, Hongyan Zhu, Zongben Xu, Chongzhao Han:
Poisson image fusion based on Markov random field fusion model. Inf. Fusion 14(3): 241-254 (2013) - [j100]Deyu Meng, Yee Leung, Zongben Xu:
The strong convergence of visual classification method and its applications. Inf. Sci. 249: 85-95 (2013) - [j99]Wenfei Cao, Jian Sun, Zongben Xu:
Fast image deconvolution using closed-form thresholding formulas of regularization. J. Vis. Commun. Image Represent. 24(1): 31-41 (2013) - [j98]Deyu Meng, Yee Leung, Zongben Xu:
Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds. Pattern Recognit. 46(8): 2175-2186 (2013) - [j97]Chun-Zhong Li, Zongben Xu, Tao Luo:
A heuristic hierarchical clustering based on multiple similarity measurements. Pattern Recognit. Lett. 34(2): 155-162 (2013) - [j96]Ruihu Li, Fei Zuo, Yang Liu, Zongben Xu:
Hermitian dual containing BCH codes and construction of new quantum codes. Quantum Inf. Comput. 13(1-2): 21-35 (2013) - [j95]Jinshan Zeng, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu:
Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills. Signal Process. 93(7): 1831-1844 (2013) - [j94]Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu, Yeng Chai Soh:
Dynamic Extreme Learning Machine and Its Approximation Capability. IEEE Trans. Cybern. 43(6): 2054-2065 (2013) - [j93]Deyu Meng, Yee Leung, Zongben Xu:
Detecting Intrinsic Loops Underlying Data Manifold. IEEE Trans. Knowl. Data Eng. 25(2): 337-347 (2013) - [j92]Bin Zou, Luoqing Li, Zongben Xu, Tao Luo, Yuan Yan Tang:
Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling. IEEE Trans. Neural Networks Learn. Syst. 24(2): 288-300 (2013) - [j91]Shaobo Lin, Yuanhua Rong, Xingping Sun, Zongben Xu:
Learning Capability of Relaxed Greedy Algorithms. IEEE Trans. Neural Networks Learn. Syst. 24(10): 1598-1608 (2013) - [j90]Feng Li, Zongben Xu, Shihua Zhu:
Variational-Inference-Based Data Detection for OFDM Systems With Imperfect Channel Estimation. IEEE Trans. Veh. Technol. 62(3): 1394-1399 (2013) - 2012
- [j89]Bin Zou, Zongben Xu, Xiangyu Chang:
Generalization bounds of ERM algorithm with V-geometrically Ergodic Markov chains. Adv. Comput. Math. 36(1): 99-114 (2012) - [j88]Zongben Xu, Yongquan Zhang, Feilong Cao:
Estimation of convergence rate for multi-regression learning algorithm. Sci. China Inf. Sci. 55(3): 701-713 (2012) - [j87]Jinshan Zeng, Jian Fang, Zongben Xu:
Sparse SAR imaging based on L 1/2 regularization. Sci. China Inf. Sci. 55(8): 1755-1775 (2012) - [j86]Jian Fang, Jinshan Zeng, Zongben Xu, Yao Zhao:
Efficient DPCA SAR imaging with fast iterative spectrum reconstruction method. Sci. China Inf. Sci. 55(8): 1838-1851 (2012) - [j85]Hai Zhang, Yong Liang, HaiLiang Gou, Zongben Xu:
The essential ability of sparse reconstruction of different compressive sensing strategies. Sci. China Inf. Sci. 55(11): 2582-2589 (2012) - [j84]Chen Qiao, Zongben Xu:
Critical dynamics study on recurrent neural networks: Globally exponential stability. Neurocomputing 77(1): 205-211 (2012) - [j83]Xiao-Guang Lv, Ting-Zhu Huang, Zongben Xu, Xi-Le Zhao:
Kronecker product approximations for image restoration with whole-sample symmetric boundary conditions. Inf. Sci. 186(1): 150-163 (2012) - [j82]Shaobo Lin, Feilong Cao, Xiangyu Chang, Zongben Xu:
A general radial quasi-interpolation operator on the sphere. J. Approx. Theory 164(10): 1402-1414 (2012) - [j81]Deyu Meng, Qian Zhao, Zongben Xu:
Improve robustness of sparse PCA by L1-norm maximization. Pattern Recognit. 45(1): 487-497 (2012) - [j80]Rui Zhang, Zongben Xu, Guang-Bin Huang, Dianhui Wang:
Global Convergence of Online BP Training With Dynamic Learning Rate. IEEE Trans. Neural Networks Learn. Syst. 23(2): 330-341 (2012) - [j79]Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu:
Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes. IEEE Trans. Neural Networks Learn. Syst. 23(2): 365-371 (2012) - [j78]Zongben Xu, Xiangyu Chang, Fengmin Xu, Hai Zhang:
L1/2 Regularization: A Thresholding Representation Theory and a Fast Solver. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1013-1027 (2012) - 2011
- [j77]Feng Li, Wei Wang, Zongben Xu, Haixing Zhao:
Some results on the lexicographic product of vertex-transitive graphs. Appl. Math. Lett. 24(11): 1924-1926 (2011) - [j76]Yongquan Zhang, Feilong Cao, Zongben Xu:
Optimal rate of the regularized regression learning algorithm. Int. J. Comput. Math. 88(7): 1471-1483 (2011) - [j75]Yongquan Zhang, Feilong Cao, Zongben Xu:
Estimation of learning rate of least square algorithm via Jackson operator. Neurocomputing 74(4): 516-521 (2011) - [j74]Deyu Meng, Yee Leung, Zongben Xu:
A new quality assessment criterion for nonlinear dimensionality reduction. Neurocomputing 74(6): 941-948 (2011) - [j73]Xiangyu Chang, Zongben Xu, Bin Zou, Hai Zhang:
Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality. Int. J. Wavelets Multiresolution Inf. Process. 9(4): 549-570 (2011) - [j72]Zhi Han, Deyu Meng, Zongben Xu, Nan-Nan Gu:
Incremental Alignment Manifold Learning. J. Comput. Sci. Technol. 26(1): 153-165 (2011) - [j71]Jianjun Wang, Zongben Xu:
Neural networks and the best trigomometric approximation. J. Syst. Sci. Complex. 24(2): 401-412 (2011) - [j70]Shaobo Lin, Feilong Cao, Zongben Xu:
Essential rate for approximation by spherical neural networks. Neural Networks 24(7): 752-758 (2011) - [j69]Jian Sun, Jian Sun, Zongben Xu, Heung-Yeung Shum:
Gradient Profile Prior and Its Applications in Image Super-Resolution and Enhancement. IEEE Trans. Image Process. 20(6): 1529-1542 (2011) - 2010
- [j68]Zongben Xu, Hai Zhang, Yao Wang, Xiangyu Chang, Yong Liang:
L1/2 regularization. Sci. China Inf. Sci. 53(6): 1159-1169 (2010) - [j67]Chen Qiao, Zongben Xu:
On the P-critical dynamics analysis of projection recurrent neural networks. Neurocomputing 73(13-15): 2783-2788 (2010) - [j66]Feilong Cao, Shaobo Lin, Zongben Xu:
Approximation capability of interpolation neural networks. Neurocomputing 74(1-3): 457-460 (2010) - [j65]Feilong Cao, Shaobo Lin, Zongben Xu:
Constructive approximate interpolation by neural networks in the metric space. Math. Comput. Model. 52(9-10): 1674-1681 (2010) - [j64]Jianjun Wang, Zongben Xu:
New study on neural networks: the essential order of approximation. Neural Networks 23(5): 618-624 (2010) - [j63]Jian Sun, Zongben Xu:
Scale selection for anisotropic diffusion filter by Markov random field model. Pattern Recognit. 43(8): 2630-2645 (2010) - [j62]Zongben Xu, Jian Sun:
Image Inpainting by Patch Propagation Using Patch Sparsity. IEEE Trans. Image Process. 19(5): 1153-1165 (2010) - 2009
- [j61]Feilong Cao, Yongquan Zhang, Zongben Xu:
Lower estimation of approximation rate for neural networks. Sci. China Ser. F Inf. Sci. 52(8): 1321-1327 (2009) - [j60]Chen Qiao, Zongben Xu:
A critical global convergence analysis of recurrent neural networks with general projection mappings. Neurocomputing 72(7-9): 1878-1886 (2009) - [j59]Bin Zou, Hai Zhang, Zongben Xu:
Learning from uniformly ergodic Markov chains. J. Complex. 25(2): 188-200 (2009) - [j58]Bin Zou, Luoqing Li, Zongben Xu:
The generalization performance of ERM algorithm with strongly mixing observations. Mach. Learn. 75(3): 275-295 (2009) - [j57]Zongben Xu, Rui Zhang, Wenfeng Jing:
When Does Online BP Training Converge? IEEE Trans. Neural Networks 20(10): 1529-1539 (2009) - [j56]Lisheng Wang, Rui Zhang, Zongben Xu, Jigen Peng:
Some Characterizations of Global Exponential Stability of a Generic Class of Continuous-Time Recurrent Neural Networks. IEEE Trans. Syst. Man Cybern. Part B 39(3): 763-772 (2009) - [j55]Zongben Xu, Ming-Wei Dai, Deyu Meng:
Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine. IEEE Trans. Syst. Man Cybern. Part B 39(5): 1292-1307 (2009) - 2008
- [j54]Chuanxi Zhu, Zongben Xu:
Inequalities and solution of an operator equation. Appl. Math. Lett. 21(6): 607-611 (2008) - [j53]Feilong Cao, Tingfan Xie, Zongben Xu:
The estimate for approximation error of neural networks: A constructive approach. Neurocomputing 71(4-6): 626-630 (2008) - [j52]Feng-Jun Li, Zong-Ben Xu, Yue-Ting Zhou:
The essential order of approximation for Suzuki's neural networks. Neurocomputing 71(16-18): 3525-3533 (2008) - [j51]Bo Yu, Zongben Xu:
A comparative study for content-based dynamic spam classification using four machine learning algorithms. Knowl. Based Syst. 21(4): 355-362 (2008) - [j50]Bo Yu, Zongben Xu, Cheng-hua Li:
Latent semantic analysis for text categorization using neural network. Knowl. Based Syst. 21(8): 900-904 (2008) - [j49]Deyu Meng, Yee Leung, Zongben Xu, Tung Fung, Qingfu Zhang:
Improving geodesic distance estimation based on locally linear assumption. Pattern Recognit. Lett. 29(7): 862-870 (2008) - [j48]Ruihu Li, Zongben Xu, Xueliang Li:
Standard Forms of Stabilizer and Normalizer Matrices for Additive Quantum Codes. IEEE Trans. Inf. Theory 54(8): 3775-3778 (2008) - [j47]Ruihu Li, Zongben Xu, Xuejun Zhao:
On The Classification of Binary Optimal Self-Orthogonal Codes. IEEE Trans. Inf. Theory 54(8): 3778-3782 (2008) - [j46]Deyu Meng, Yee Leung, Tung Fung, Zongben Xu:
Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold. IEEE Trans. Syst. Man Cybern. Part B 38(4): 1111-1122 (2008) - 2007
- [j45]Yong Liang, Kwong-Sak Leung, Zongben Xu:
A novel splicing/decomposable binary encoding and its operators for genetic and evolutionary algorithms. Appl. Math. Comput. 190(1): 887-904 (2007) - [j44]Feng-Jun Li, Zongben Xu:
The essential order of simultaneous approximation for neural networks. Appl. Math. Comput. 194(1): 120-127 (2007) - [j43]Daowu Pei, Zongben Xu:
Transformation of rough set models. Knowl. Based Syst. 20(8): 745-751 (2007) - [j42]Lisheng Wang, Zongben Xu:
On Characterizations of Exponential Stability of Nonlinear Discrete Dynamical Systems on Bounded Regions. IEEE Trans. Autom. Control. 52(10): 1871-1881 (2007) - [j41]Lisheng Wang, Zongben Xu, Qunfei Zhao:
Quantitative Characterizations of Exponential Convergence Property of Nonlinear Discrete Dynamical Systems. IEEE Trans. Autom. Control. 52(11): 2129-2134 (2007) - 2006
- [j40]Zongben Xu, Jianjun Wang:
The essential order of approximation for nearly exponential type neural networks. Sci. China Ser. F Inf. Sci. 49(4): 446-460 (2006) - [j39]Lisheng Wang, Zongben Xu:
Sufficient and necessary conditions for global exponential stability of discrete-time recurrent neural networks. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(6): 1373-1380 (2006) - 2005
- [j38]Yong-Chang Jiao, Yee Leung, Zongben Xu, Jiang-She Zhang:
Variable Programming: A Generalized Minimax Problem. Part I: Models and Theory. Comput. Optim. Appl. 30(3): 229-261 (2005) - [j37]Yong-Chang Jiao, Yee Leung, Zongben Xu, Jiang-She Zhang:
Variable Programming: A Generalized Minimax Problem. Part II: Algorithms. Comput. Optim. Appl. 30(3): 263-295 (2005) - [j36]Zongben Xu, Fei-Long Cao:
Simultaneous Lp-approximation order for neural networks. Neural Networks 18(7): 914-923 (2005) - [j35]Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zongben Xu:
Scalable model-based cluster analysis using clustering features. Pattern Recognit. 38(5): 637-649 (2005) - [j34]Jigen Peng, Zong-Ben Xu, Hong Qiao, Bo Zhang:
A critical analysis on global convergence of Hopfield-type neural networks. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(4): 804-814 (2005) - 2004
- [j33]Zongben Xu, Feilong Cao:
The essential order of approximation for neural networks. Sci. China Ser. F Inf. Sci. 47(1): 97-112 (2004) - [j32]Sheng-Gang Li, Li-Li Zhang, Zongben Xu:
Strong fuzzy compact sets and ultra-fuzzy compact sets in L-topological spaces. Fuzzy Sets Syst. 147(2): 293-306 (2004) - [j31]Daowu Pei, Zongben Xu:
Rough Set Models on Two universes. Int. J. Gen. Syst. 33(5): 569-581 (2004) - [j30]Wenjian Wang, Zongben Xu:
A heuristic training for support vector regression. Neurocomputing 61: 259-275 (2004) - [j29]Kwong-Sak Leung, Huidong Jin, Zongben Xu:
An expanding self-organizing neural network for the traveling salesman problem. Neurocomputing 62: 267-292 (2004) - [j28]Zongben Xu, Hong Qiao, Jigen Peng, Bo Zhang:
A comparative study of two modeling approaches in neural networks. Neural Networks 17(1): 73-85 (2004) - 2003
- [j27]Zongben Xu, Kwong-Sak Leung, Yong Liang, Yee Leung:
Efficiency speed-up strategies for evolutionary computation: fundamentals and fast-GAs. Appl. Math. Comput. 142(2-3): 341-388 (2003) - [j26]Wenjian Wang, Zongben Xu, Weizhen Lu, Xiaoyun Zhang:
Determination of the spread parameter in the Gaussian kernel for classification and regression. Neurocomputing 55(3-4): 643-663 (2003) - [j25]Huidong Jin, Kwong-Sak Leung, Man Leung Wong, Zongben Xu:
An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem. IEEE Trans. Syst. Man Cybern. Part B 33(6): 877-888 (2003) - [j24]Hong Qiao, Jigen Peng, Zongben Xu, Bo Zhang:
A reference model approach to stability analysis of neural networks. IEEE Trans. Syst. Man Cybern. Part B 33(6): 925-936 (2003) - 2002
- [j23]Zongben Xu, Huidong Jin, Kwong-Sak Leung, Yee Leung, Chak-Kuen Wong:
An automata network for performing combinatorial optimization. Neurocomputing 47(1-4): 59-83 (2002) - [j22]Jiye Liang, Zongben Xu:
The Algorithm on Knowledge Reduction in Incomplete Information Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 10(1): 95-103 (2002) - [j21]Zongben Xu, Jiye Liang, Chuangyin Dang, Kwai-Sang Chin:
Inclusion degree: a perspective on measures for rough set data analysis. Inf. Sci. 141(3-4): 227-236 (2002) - [j20]Jigen Peng, Hong Qiao, Zongben Xu:
A new approach to stability of neural networks with time-varying delays. Neural Networks 15(1): 95-103 (2002) - 2001
- [j19]Kwong-Sak Leung, Qihong Duan, Zongben Xu, C. K. Wong:
A new model of simulated evolutionary computation-convergence analysis and specifications. IEEE Trans. Evol. Comput. 5(1): 3-16 (2001) - [j18]Hong Qiao, Jigen Peng, Zongben Xu:
Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks. IEEE Trans. Neural Networks 12(2): 360-370 (2001) - [j17]Hong Qiao, Jiang-She Zhang, Zongben Xu:
A new data processing method based on a biological model of the compound eye: direction quantization representation. IEEE Trans. Syst. Man Cybern. Part A 31(3): 238-245 (2001) - 2000
- [j16]Sheng-Gang Li, Zongben Xu:
Characterizations of minimal T3 L-fuzzy topological spaces. Inf. Sci. 128(1-2): 119-126 (2000) - [j15]Yee Leung, Jiang-She Zhang, Zongben Xu:
Clustering by Scale-Space Filtering. IEEE Trans. Pattern Anal. Mach. Intell. 22(12): 1396-1410 (2000) - 1998
- [j14]Zong-Ben Xu, Jiang-She Zhang, Yiu-Wing Leung:
An approximate algorithm for computing multidimensional convex hulls. Appl. Math. Comput. 94(2-3): 193-226 (1998) - [j13]Yee Leung, Tian-Xin Dong, Zongben Xu:
The optimal encodings for biased association in linear associative memories. Neural Networks 11(5): 877-884 (1998) - [j12]Yee Leung, Guo Li, Zongben Xu:
A genetic algorithm for the multiple destination routing problems. IEEE Trans. Evol. Comput. 2(4): 150-161 (1998) - [j11]Yiu-Wing Leung, Jiang-She Zhang, Zongben Xu:
Optimal neural network algorithm for on-line string matching. IEEE Trans. Syst. Man Cybern. Part B 28(5): 737-739 (1998) - 1997
- [j10]Yee Leung, Jiang-She Zhang, Zongben Xu:
Neural networks for convex hull computation. IEEE Trans. Neural Networks 8(3): 601-611 (1997) - [j9]Yee Leung, Yong Gao, Zongben Xu:
Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis. IEEE Trans. Neural Networks 8(5): 1165-1176 (1997) - 1996
- [j8]Zongben Xu, Guo-Qing Hu, Chung-Ping Kwong:
Asymmetric Hopfield-type networks: Theory and applications. Neural Networks 9(3): 483-501 (1996) - [j7]Zongben Xu, Chung-Ping Kwong:
A Decomposition Principle for Complexity Reduction of Artificial Neural Networks. Neural Networks 9(6): 999-1016 (1996) - [j6]Zongben Xu, Guo-Qing Hu, Chung-Ping Kwong:
Some efficient strategies for improving the eigenstructure method in synthesis of feedback neural networks. IEEE Trans. Neural Networks 7(1): 233-245 (1996) - 1995
- [j5]Zongben Xu, P. Xu, Xingzhong Shi:
The optimal ball algorithm for nonlinear equations of quasi-strongly monotone operators. Int. J. Comput. Math. 57(1-2): 83-96 (1995) - [j4]Z.-Y. Chen, Chung-Ping Kwong, Zongben Xu:
Multiple-Valued Feedback and Recurrent Correlation Neural Networks. Neural Comput. Appl. 3(4): 242-250 (1995) - [j3]Xiang-Wei He, Chung-Ping Kwong, Zongben Xu:
A competitive associative memory model and its dynamics. IEEE Trans. Neural Networks 6(4): 929-940 (1995) - 1994
- [j2]Zong-Ben Xu, Yee Leung, Xiang-Wei He:
Asymmetric Bidirectional Associative Memories. IEEE Trans. Syst. Man Cybern. Syst. 24(10): 1558-1564 (1994) - 1992
- [j1]Zongben Xu, Xingzhong Shi:
A comparison of point and ball iterations in the contractive mapping case. Computing 49(1): 75-85 (1992)
Conference and Workshop Papers
- 2024
- [c75]Xunmeng Wu, Zai Yang, Zhiqiang Wei, Robert Schober, Zongben Xu:
Wideband Direction-of-Arrival Estimation via Covariance Fitting and Focusing. EUSIPCO 2024: 2282-2286 - [c74]Haotian Zhang, Jialong Shi, Jianyong Sun, Ali Wagdy Mohamed, Zongben Xu:
A Gradient-based Method for Differential Evolution Parameter Control by Smoothing. GECCO Companion 2024: 423-426 - [c73]Xing Li, Yan Yang, Hairong Zheng, Zongben Xu:
Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI. MICCAI (7) 2024: 130-139 - 2023
- [c72]Xunmeng Wu, Zai Yang, Jian-Feng Cai, Zongben Xu:
Spectral Super-Resolution on the Unit Circle Via Gradient Descent. ICASSP 2023: 1-5 - [c71]Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu:
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. ICCV 2023: 15280-15291 - [c70]Xiang Gu, Liwei Yang, Jian Sun, Zongben Xu:
Optimal Transport-Guided Conditional Score-Based Diffusion Model. NeurIPS 2023 - [c69]Xunmeng Wu, Zai Yang, Zhiqiang Wei, Zongben Xu:
Source Localization for Constant Modulus Signals Using a Structured Matrix Recovery Technique (SMART). SSP 2023: 175-179 - 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 - 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 - 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 - 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 - 2018
- [c43]Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin:
Margin Based PU Learning. AAAI 2018: 3037-3044 - [c42]Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L. Prince:
Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGAN. DLMIA/ML-CDS@MICCAI 2018: 174-182 - 2017
- [c41]Wei Wei, Lixuan Yi, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
Should We Encode Rain Streaks in Video as Deterministic or Stochastic? ICCV 2017: 2535-2544 - [c40]Haixia Bi, Lin Xu, Xiangyong Cao, Zongben Xu:
Polsar image classification based on three-dimensional wavelet texture features and Markov random field. IGARSS 2017: 3921-3928 - 2016
- [c39]Hui Li, Yuanyuan Fan, Qingfu Zhang, Zongben Xu, Jingda Deng:
A multi-phase multiobjective approach based on decomposition for sparse reconstruction. CEC 2016: 601-608 - [c38]Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang:
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization. CVPR 2016: 1692-1700 - [c37]Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu:
Deep Fusion Net for Multi-atlas Segmentation: Application to Cardiac MR Images. MICCAI (2) 2016: 521-528 - [c36]Yan Yang, Jian Sun, Huibin Li, Zongben Xu:
Deep ADMM-Net for Compressive Sensing MRI. NIPS 2016: 10-18 - 2015
- [c35]Qian Zhao, Deyu Meng, Lu Jiang, Qi Xie, Zongben Xu, Alexander G. Hauptmann:
Self-Paced Learning for Matrix Factorization. AAAI 2015: 3196-3202 - [c34]Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce:
Learning a convolutional neural network for non-uniform motion blur removal. CVPR 2015: 769-777 - [c33]Qian Zhao, Deyu Meng, Xu Kong, Qi Xie, Wenfei Cao, Yao Wang, Zongben Xu:
A Novel Sparsity Measure for Tensor Recovery. ICCV 2015: 271-279 - [c32]Xiangyong Cao, Yang Chen, Qian Zhao, Deyu Meng, Yao Wang, Dong Wang, Zongben Xu:
Low-Rank Matrix Factorization under General Mixture Noise Distributions. ICCV 2015: 1493-1501 - 2014
- [c31]Yi Peng, Deyu Meng, Zongben Xu, Chenqiang Gao, Yi Yang, Biao Zhang:
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising. CVPR 2014: 2949-2956 - [c30]Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang:
Robust Principal Component Analysis with Complex Noise. ICML 2014: 55-63 - 2013
- [c29]Deyu Meng, Zongben Xu, Lei Zhang, Ji Zhao:
A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries. AAAI 2013: 704-710 - [c28]Yu Wang, Xiangyu Chang, Rongjian Li, Zongben Xu:
Sparse K-Means with the l_q(0leq q< 1) Constraint for High-Dimensional Data Clustering. ICDM 2013: 797-806 - 2012
- [c27]Jian Fang, Zongben Xu, Chenglong Jiang, Bingchen Zhang, Wen Hong:
SAR range ambiguity suppression via sparse regularization. IGARSS 2012: 3811-3814 - [c26]Hui Li, Xiaolei Su, Zongben Xu, Qingfu Zhang:
MOEA/D with Iterative Thresholding Algorithm for Sparse Optimization Problems. PPSN (2) 2012: 93-101 - [c25]Feng Li, Zongben Xu, Haixing Zhao:
On the Average Distance and Wiener Index of Cartesian Product Networks. QLSC 2012 - [c24]Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. ICSI (2) 2012: 11-17 - [c23]Xin-Ze Luan, Yong Liang, Cheng Liu, Zongben Xu, Hai Zhang, Kwong-Sak Leung, Tak-Ming Chan:
Regularization Path for Linear Model via Net Method. ICSI (2) 2012: 414-421 - 2011
- [c22]Zhi Han, Zongben Xu, Song-Chun Zhu:
Video Primal Sketch: A generic middle-level representation of video. ICCV 2011: 1283-1290 - [c21]Jinshan Zeng, Zongben Xu, Hai Jiang, Bingchen Zhang, Wen Hong, Yirong Wu:
SAR imaging from compressed measurements based on L1/2 regularization. IGARSS 2011: 625-628 - 2008
- [c20]Jian Sun, Zongben Xu, Heung-Yeung Shum:
Image super-resolution using gradient profile prior. CVPR 2008 - [c19]Zongben Xu:
Data Mining Technologies Inspired from Visual Principle. Intelligent Information Processing 2008: 5-6 - [c18]Youmei Li, Zongben Xu, Feilong Cao:
An Improvement to Ant Colony Optimization Heuristic. ISNN (1) 2008: 816-825 - 2007
- [c17]Yu Gu, Jiashu Zhao, Dong Liang, Zongben Xu:
Immunity diversity based multi-agent intrusion detection. IEEE Congress on Evolutionary Computation 2007: 3404-3409 - [c16]Jian Sun, Jian Sun, Sing Bing Kang, Zongben Xu, Xiaoou Tang, Heung-Yeung Shum:
Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs. CVPR 2007 - [c15]Chen Qiao, Zongben Xu:
New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings. ISNN (3) 2007: 131-139 - [c14]Yong Liang, Kwong-Sak Leung, Zongben Xu:
Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding. ISNN (2) 2007: 371-380 - [c13]Jianjun Wang, Zongben Xu, Jia Jing:
Constructive Trigonometric Function Approximation of Neural Networks. SKG 2007: 270-273 - 2006
- [c12]Zongben Xu, Jianjun Wang, Deyu Meng:
Approximation Bound of Mixture Networks in Lomegap Spaces. ISNN (1) 2006: 60-65 - [c11]Feng-Jun Li, Zongben Xu:
Integral Transform and Its Application to Neural Network Approximation. ISNN (1) 2006: 66-71 - [c10]Chunmei Ding, Feilong Cao, Zongben Xu:
The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units. ISNN (1) 2006: 72-79 - [c9]Jian Sun, Zongben Xu:
An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network. ISNN (2) 2006: 563-568 - [c8]Wenfeng Jing, Deyu Meng, Ming-Wei Dai, Zongben Xu:
A New Pre-processing Method for Regression. ISNN (2) 2006: 765-770 - 2005
- [c7]Rui Zhang, Zongben Xu:
A Generalized Global Convergence Theory of Projection-Type Neural Networks for Optimization. CIS (1) 2005: 777-784 - [c6]Zongben Xu, Deyu Meng, Wenfeng Jing:
A New Approach for Classification: Visual Simulation Point of View. ISNN (2) 2005: 1-7 - [c5]Feilong Cao, Zongben Xu, Youmei Li:
Pointwise Approximation for Neural Networks. ISNN (1) 2005: 39-44 - [c4]Youmei Li, Zongben Xu, Feilong Cao:
Generalization and Property Analysis of GENET. ISNN (1) 2005: 63-68 - 2004
- [c3]Jianjun Wang, Zongben Xu, Weijun Xu:
Approximation Bounds by Neural Networks in Lpomega. ISNN (1) 2004: 1-6 - 1996
- [c2]Zongben Xu, Bo-Ting Yang:
The Heuristics for the Constrained Multicast Routing. ASIAN 1996: 204-212 - 1985
- [c1]Zhaoyong You, Zongben Xu, Kunkun Liu:
Generalized Theory and Some Specializations of the Region Contraction Algorithm I - Ball Operation. Interval Mathematics 1985: 209-223
Editorship
- 2018
- [e1]Zongben Xu, Xinbo Gao, Qiguang Miao, Yunquan Zhang, Jiajun Bu:
Big Data - 6th CCF Conference, Big Data 2018, Xi'an, China, October 11-13, 2018, Proceedings. Communications in Computer and Information Science 945, Springer 2018, ISBN 978-981-13-2921-0 [contents]
Informal and Other Publications
- 2024
- [i63]Zhiqiang Pang, Hong Wang, Qi Xie, Deyu Meng, Zongben Xu:
TRG-Net: An Interpretable and Controllable Rain Generator. CoRR abs/2403.09993 (2024) - [i62]Fan Wang, Yating Wang, Wing Tat Leung, Zongben Xu:
Learning-based Multi-continuum Model for Multiscale Flow Problems. CoRR abs/2403.14084 (2024) - [i61]Xiang Gu, Xi Yu, Yan Yang, Jian Sun, Zongben Xu:
Adversarial Reweighting with ɑ-Power Maximization for Domain Adaptation. CoRR abs/2404.17275 (2024) - [i60]Xuebin Ren, Shusen Yang, Cong Zhao, Julie A. McCann, Zongben Xu:
Belt and Brace: When Federated Learning Meets Differential Privacy. CoRR abs/2404.18814 (2024) - 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) - [i56]Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu:
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. CoRR abs/2308.16758 (2023) - [i55]Xiang Gu, Liwei Yang, Jian Sun, Zongben Xu:
Optimal Transport-Guided Conditional Score-Based Diffusion Models. CoRR abs/2311.01226 (2023) - [i54]Jiahong Fu, Qi Xie, Deyu Meng, Zongben Xu:
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration. CoRR abs/2312.15701 (2023) - 2022
- [i53]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) - [i52]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) - [i51]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
- [i50]Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu:
Learning adaptive differential evolution algorithm from optimization experiences by policy gradient. CoRR abs/2102.03572 (2021) - [i49]Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu:
Training Networks in Null Space of Feature Covariance for Continual Learning. CoRR abs/2103.07113 (2021) - [i48]Jun Shu, Deyu Meng, Zongben Xu:
Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks. CoRR abs/2107.02378 (2021) - [i47]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) - [i46]Qi Xie, Qian Zhao, Zongben Xu, Deyu Meng:
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions. CoRR abs/2107.14519 (2021) - 2020
- [i45]Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng:
Learning Adaptive Loss for Robust Learning with Noisy Labels. CoRR abs/2002.06482 (2020) - [i44]Haotian Zhang, Jianyong Sun, Zongben Xu:
Adaptive Structural Hyper-Parameter Configuration by Q-Learning. CoRR abs/2003.00863 (2020) - [i43]Haotian Zhang, Jianyong Sun, Zongben Xu:
Learning to be Global Optimizer. CoRR abs/2003.04521 (2020) - [i42]Jianyong Sun, Wei Zheng, Qingfu Zhang, Zongben Xu:
Graph Neural Network Encoding for Community Detection in Attribute Networks. CoRR abs/2006.03996 (2020) - [i41]Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng:
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels. CoRR abs/2006.05697 (2020) - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]Haotian Zhang, Yuhao Wang, Jianyong Sun, Zongben Xu:
Amortized Variational Deep Q Network. CoRR abs/2011.01706 (2020) - 2019
- [i35]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) - [i34]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) - [i33]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
- [i32]Jian Fang, Shaobo Lin, Zongben Xu:
Learning through deterministic assignment of hidden parameters. CoRR abs/1803.08374 (2018) - [i31]Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu:
Semi-supervised CNN for Single Image Rain Removal. CoRR abs/1807.11078 (2018) - [i30]Jun Shu, Zongben Xu, Deyu Meng:
Small Sample Learning in Big Data Era. CoRR abs/1808.04572 (2018) - [i29]Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu, Jerry L. Prince:
Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN. CoRR abs/1809.04536 (2018) - [i28]Hengtao He, Shi Jin, Chao-Kai Wen, Feifei Gao, Geoffrey Ye Li, Zongben Xu:
Model-Driven Deep Learning for Physical Layer Communications. CoRR abs/1809.06059 (2018) - [i27]Shipeng Wang, Jian Sun, Zongben Xu:
HyperAdam: A Learnable Task-Adaptive Adam for Network Training. CoRR abs/1811.08996 (2018) - 2017
- [i26]Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure. CoRR abs/1702.00098 (2017) - [i25]Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley:
Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network. CoRR abs/1705.00727 (2017) - [i24]Yan Yang, Jian Sun, Huibin Li, Zongben Xu:
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI. CoRR abs/1705.06869 (2017) - [i23]Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Zongben Xu:
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning. CoRR abs/1706.06341 (2017) - [i22]Heran Yang, Jian Sun, Huibin Li, Lisheng Wang, Zongben Xu:
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images. CoRR abs/1709.09641 (2017) - 2016
- [i21]Xiangyong Cao, Qian Zhao, Deyu Meng, Yang Chen, Zongben Xu:
Low-rank Matrix Factorization under General Mixture Noise Distributions. CoRR abs/1601.01060 (2016) - [i20]Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Zongben Xu:
Greedy Criterion in Orthogonal Greedy Learning. CoRR abs/1604.05993 (2016) - 2015
- [i19]Zhi Han, Zongben Xu, Song-Chun Zhu:
Video Primal Sketch: A Unified Middle-Level Representation for Video. CoRR abs/1502.02965 (2015) - [i18]Jian Sun, Wenfei Cao, Zongben Xu, Jean Ponce:
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal. CoRR abs/1503.00593 (2015) - [i17]Wenfei Cao, Yao Wang, Jian Sun, Deyu Meng, Can Yang, Andrzej Cichocki, Zongben Xu:
A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements. CoRR abs/1503.01868 (2015) - [i16]Lin Xu, Shaobo Lin, Yao Wang, Zongben Xu:
Shrinkage degree in L2-re-scale boosting for regression. CoRR abs/1505.04369 (2015) - [i15]Huibin Li, Jian Sun, Dong Wang, Zongben Xu, Liming Chen:
Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition. CoRR abs/1511.03015 (2015) - 2014
- [i14]Shaobo Lin, Xia Liu, Jian Fang, Zongben Xu:
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II). CoRR abs/1401.6240 (2014) - [i13]Jian Yu, Zongben Xu:
Categorization Axioms for Classification and Clustering. CoRR abs/1403.2065 (2014) - [i12]Xiangyu Chang, Yu Wang, Rongjian Li, Zongben Xu:
Sparse K-Means with ℓ∞/ℓ0 Penalty for High-Dimensional Data Clustering. CoRR abs/1403.7890 (2014) - [i11]Qi Xie, Deyu Meng, Shuhang Gu, Lei Zhang, Wangmeng Zuo, Xiangchu Feng, Zongben Xu:
On the Optimal Solution of Weighted Nuclear Norm Minimization. CoRR abs/1405.6012 (2014) - [i10]Jian Fang, Shaobo Lin, Zongben Xu:
Learning and approximation capability of orthogonal super greedy algorithm. CoRR abs/1409.5330 (2014) - [i9]Lin Xu, Shaobo Lin, Jinshan Zeng, Zongben Xu:
Greedy metrics in orthogonal greedy learning. CoRR abs/1411.3553 (2014) - 2013
- [i8]Jian Fang, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu:
Fast Compressed Sensing SAR Imaging based on Approximated Observation. CoRR abs/1302.3120 (2013) - [i7]Jinshan Zeng, Shaobo Lin, Zongben Xu:
Sparse Solution of Underdetermined Linear Equations via Adaptively Iterative Thresholding. CoRR abs/1310.3954 (2013) - [i6]Jian Fang, Zongben Xu, Bingchen Zhang, Wen Hong, Yirong Wu:
Compressed Sensing SAR Imaging with Multilook Processing. CoRR abs/1310.7217 (2013) - [i5]Jinshan Zeng, Shaobo Lin, Yao Wang, Zongben Xu:
L1/2 Regularization: Convergence of Iterative Half Thresholding Algorithm. CoRR abs/1311.0156 (2013) - [i4]Shaobo Lin, Jinshan Zeng, Jian Fang, Zongben Xu:
Learning rates of lq coefficient regularization learning with Gaussian kernel. CoRR abs/1312.5465 (2013) - 2012
- [i3]Deyu Meng, Yee Leung, Qian Zhao, Zongben Xu:
Dictionary learning under global sparsity constraint. CoRR abs/1202.6562 (2012) - [i2]Qian Zhao, Deyu Meng, Zongben Xu:
A recursive divide-and-conquer approach for sparse principal component analysis. CoRR abs/1211.7219 (2012) - 2009
- [i1]Ruihu Li, Zongben Xu:
On [[n,n-4,3]]q Quantum MDS Codes for odd prime power q. CoRR abs/0906.2509 (2009)
Coauthor Index
[j260] [j249] [j244] [j243] [j242] [j241] [j221] [j218] [j212] [j211] [j208] [j203] [j202] [j201] [j198] [j197] [j194] [j191] [j190] [j188] [j184] [j180] [j179] [j175] [j172] [j170] [j169] [j166] [j163] [j162] [j150] [j149] [j147] [j143] [j133] [j129] [j106] [j102] [j100] [j98] [j93] [j81] [j74] [j72] [j55] [j49] [j46] [c68] [c56] [c55] [c51] [c50] [c49] [c44] [c41] [c38] [c35] [c33] [c32] [c31] [c30] [c29] [c12] [c8] [c6] [i63] [i59] [i57] [i54] [i53] [i51] [i48] [i46] [i45] [i41] [i40] [i39] [i37] [i35] [i34] [i33] [i31] [i30] [i26] [i25] [i23] [i21] [i17] [i11] [i3] [i2]
[j268] [j267] [j265] [j261] [j246] [j245] [j240] [j239] [j238] [j237] [j236] [j230] [j224] [j220] [j207] [j196] [j195] [j187] [j183] [j178] [j174] [j173] [j164] [j160] [j150] [j137] [j101] [j99] [j69] [j63] [j62] [c71] [c70] [c65] [c61] [c60] [c59] [c57] [c54] [c52] [c46] [c45] [c42] [c37] [c34] [c20] [c16] [c9] [i61] [i58] [i56] [i55] [i49] [i47] [i29] [i27] [i24] [i22] [i18] [i17] [i15]
[j257] [j249] [j243] [j242] [j221] [j208] [j206] [j203] [j201] [j197] [j188] [j180] [j175] [j172] [j170] [j166] [j163] [j149] [j143] [j133] [j129] [j102] [j81] [c68] [c55] [c51] [c50] [c49] [c44] [c41] [c38] [c35] [c33] [c32] [c30] [i51] [i46] [i45] [i41] [i39] [i35] [i34] [i33] [i31] [i26] [i23] [i21] [i3] [i2]
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