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2020 – today
- 2025
[j133]Yu Guo
, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng:
Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction. Pattern Recognit. 158: 110986 (2025)- 2024
- [j132]Tingting Wu, Chaoyan Huang, Shilong Jia, Wei Li, Raymond H. Chan, Tieyong Zeng, S. Kevin Zhou:
Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization. Appl. Math. Comput. 477: 128795 (2024) - [j131]Juncheng Li, Bodong Cheng, Najun Niu, Guangwei Gao, Shihui Ying, Jun Shi, Tieyong Zeng:
A fine-grained orthodontics segmentation model for 3D intraoral scan data. Comput. Biol. Medicine 168: 107821 (2024) - [j130]Lili Bao, Ke Chen, Dexing Kong, Shihui Ying, Tieyong Zeng:
Time multiscale regularization for nonlinear image registration. Comput. Medical Imaging Graph. 112: 102331 (2024) - [j129]Mengqi Xu, Qianting Ma, Huajie Zhang, Dexing Kong, Tieyong Zeng:
MEF-UNet: An end-to-end ultrasound image segmentation algorithm based on multi-scale feature extraction and fusion. Comput. Medical Imaging Graph. 114: 102370 (2024) - [j128]Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng:
A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution. ACM Comput. Surv. 56(10): 249 (2024) - [j127]Yang Liu, Yiqi Zhu, Zhehao Gu, Jinshan Pan, Juncheng Li, Ming Fan, Lihua Li, Tieyong Zeng:
Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis. Comput. Vis. Image Underst. 247: 104065 (2024) - [j126]Zhongming Wu, Kexin Sun, Zhili Ge, Zhihua Allen-Zhao, Tieyong Zeng:
Sparse portfolio optimization via ℓ1 over ℓ2 regularization. Eur. J. Oper. Res. 319(3): 820-833 (2024) - [j125]Yang Zhao, Bodong Cheng, Najun Niu, Jun Wang, Tieyong Zeng, Guixu Zhang, Jun Shi, Juncheng Li:
Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network. Expert Syst. Appl. 252: 124255 (2024) - [j124]Fan Jia, Shen Mao, Zijian Huang, Tieyong Zeng:
Detachable image decomposition and illumination mapping search for low-light image enhancement. J. Comput. Appl. Math. 436: 115435 (2024) - [j123]Cheng Chang, Zhouping Xin, Tieyong Zeng:
A conservative hybrid deep learning method for Maxwell-Ampère-Nernst-Planck equations. J. Comput. Phys. 501: 112791 (2024) - [j122]Fan Jia, Tiange Wang, Tieyong Zeng:
Low-light Image Enhancement via Dual Reflectance Estimation. J. Sci. Comput. 98(2): 36 (2024) - [j121]Tingting Wu, Yue Min, Chaoyan Huang, Zhi Li, Zhongming Wu, Tieyong Zeng:
An Efficient Inexact Gauss-Seidel-Based Algorithm for Image Restoration with Mixed Noise. J. Sci. Comput. 99(2): 54 (2024) - [j120]Hao Zhang, Te Qi, Tieyong Zeng:
Quaternion-Aware Low-Rank Prior for Blind Color Image Deblurring. J. Sci. Comput. 101(2): 27 (2024) - [j119]Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Jun Shi, Tieyong Zeng:
EWT: Efficient Wavelet-Transformer for single image denoising. Neural Networks 177: 106378 (2024) - [j118]Le Jiang, Liyan Ma, Tieyong Zeng, Shihui Ying:
UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution. Patterns 5(2): 100917 (2024) - [j117]Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng:
Kernel correlation-dissimilarity for Multiple Kernel k-Means clustering. Pattern Recognit. 150: 110307 (2024) - [j116]Hao Zhang, Te Qi, Tieyong Zeng:
Scene recovery: Combining visual enhancement and resolution improvement. Pattern Recognit. 153: 110529 (2024) - [j115]Faming Fang, Le Hu, Jinhao Liu, Qiaosi Yi, Tieyong Zeng, Guixu Zhang:
HFGN: High-Frequency residual Feature Guided Network for fast MRI reconstruction. Pattern Recognit. 156: 110801 (2024) - [j114]Fan Jia, Shen Mao, Xue-Cheng Tai, Tieyong Zeng:
A Variational Model for Nonuniform Low-Light Image Enhancement. SIAM J. Imaging Sci. 17(1): 1-30 (2024) - [j113]Xu Xiao, You-Wei Wen, Raymond H. Chan, Tieyong Zeng:
Image Segmentation Using Bayesian Inference for Convex Variant Mumford-Shah Variational Model. SIAM J. Imaging Sci. 17(1): 248-272 (2024) - [j112]Zhongming Wu, Chaoyan Huang, Tieyong Zeng:
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration. SIAM J. Imaging Sci. 17(2): 1145-1181 (2024) - [j111]Xinbiao Xu, Liyan Ma, Fan Jia, Tieyong Zeng:
DQDG: Data-Free Quantization With Dual Generators for Keyword Spotting. IEEE Signal Process. Lett. 31: 1540-1544 (2024) - [j110]Yu Guo, Caiying Wu, Yaxin Li, Qiyu Jin, Tieyong Zeng:
Deep Inertia $L_{p}$ Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction. IEEE Signal Process. Lett. 31: 2030-2034 (2024) - [j109]Chao Tu, Denghui Du, Tieyong Zeng, Yu Zhang:
Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 14-25 (2024) - [j108]Ying Yang, Tao Xiang, Xiao Lv, Shangwei Guo, Tieyong Zeng:
The Illusion of Visual Security: Reconstructing Perceptually Encrypted Images. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3998-4010 (2024) - [j107]Jing-Xiao Liao, Sheng-Lai Wei, Chen-Long Xie, Tieyong Zeng, Jinwei Sun, Shiping Zhang, Xiaoge Zhang, Feng-Lei Fan:
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j106]Ying Yang, Tao Xiang, Xiao Lv, Lihua Li, Lok Ming Lui, Tieyong Zeng:
Double Transformer Super-Resolution for Breast Cancer ADC Images. IEEE J. Biomed. Health Informatics 28(2): 917-928 (2024) - [j105]Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan:
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. IEEE Trans. Knowl. Data Eng. 36(11): 6653-6666 (2024) - [j104]Pengcheng Lei, Faming Fang, Tieyong Zeng, Guixu Zhang:
Flow Guidance Deformable Compensation Network for Video Frame Interpolation. IEEE Trans. Multim. 26: 1801-1812 (2024) - [j103]Tingting Wu, Wenna Wu, Ying Yang, Feng-Lei Fan, Tieyong Zeng:
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14559-14572 (2024) - [c38]Haoan Wang, Shilong Jia, Tieyong Zeng, Guixu Zhang, Zhi Li:
Triple Feature Disentanglement for One-Stage Adaptive Object Detection. AAAI 2024: 5401-5409 - [c37]Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond H. Chan, Ying Shan:
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models. CVPR 2024: 22139-22149 - [c36]Hongjun Wang, Jiyuan Chen, Yinqiang Zheng, Tieyong Zeng:
Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution. CVPR 2024: 25532-25543 - [c35]Yingying Fang, Shuang Wu, Sheng Zhang, Chaoyan Huang, Tieyong Zeng, Xiaodan Xing, Simon Walsh, Guang Yang:
Dynamic Multimodal Information Bottleneck for Multimodality Classification. WACV 2024: 7681-7691 - [i54]Yuxiang Hui, Yang Liu, Yaofang Liu, Fan Jia, Jinshan Pan, Raymond H. Chan, Tieyong Zeng:
VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising. CoRR abs/2401.14754 (2024) - [i53]Hongjun Wang, Jiyuan Chen, Yinqiang Zheng, Tieyong Zeng:
Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution. CoRR abs/2402.18929 (2024) - [i52]Chaoyan Huang, Zhongming Wu, Tieyong Zeng:
Edge-guided Low-light Image Enhancement with Inertial Bregman Alternating Linearized Minimization. CoRR abs/2403.01142 (2024) - [i51]Zhongming Wu, Chaoyan Huang, Tieyong Zeng:
Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration. CoRR abs/2403.01144 (2024) - [i50]Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng:
Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering. CoRR abs/2403.03448 (2024) - [i49]Feng-Lei Fan, Meng Wang, Hang-Cheng Dong, Jianwei Ma, Tieyong Zeng:
No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks. CoRR abs/2405.02369 (2024) - [i48]Chaoyan Huang, Zhongming Wu, Yanqi Cheng, Tieyong Zeng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems. CoRR abs/2406.02458 (2024) - [i47]Qianchao Wang, Shijun Zhang, Dong Zeng, Zhaoheng Xie, Hengtao Guo, Feng-Lei Fan, Tieyong Zeng:
Don't Fear Peculiar Activation Functions: EUAF and Beyond. CoRR abs/2407.09580 (2024) - [i46]Yu Guo, Caiying Wu, Yaxin Li, Qiyu Jin, Tieyong Zeng:
Deep Inertia Lp Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction. CoRR abs/2408.06600 (2024) - [i45]Fenglei Fan, Juntong Fan, Dayang Wang, Jingbo Zhang, Zelin Dong, Shijun Zhang, Ge Wang, Tieyong Zeng:
Hyper-Compression: Model Compression via Hyperfunction. CoRR abs/2409.00592 (2024) - [i44]Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng:
Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction. CoRR abs/2409.07797 (2024) - 2023
- [j102]Xiao Ai, Guoxi Ni, Tieyong Zeng:
Color image restoration with mixed Gaussian-Cauchy noise and blur. Comput. Appl. Math. 42(8): 347 (2023) - [j101]Bodong Cheng, Juncheng Li, Ying Chen, Tieyong Zeng:
Snow Mask Guided Adaptive Residual Network for Image Snow Removal. Comput. Vis. Image Underst. 236: 103819 (2023) - [j100]Yuchao Tang, Shirong Deng, Jigen Peng, Tieyong Zeng:
Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise. IET Image Process. 17(14): 4044-4060 (2023) - [j99]Yu Guo, Qiyu Jin, Jean-Michel Morel, Tieyong Zeng, Gabriele Facciolo:
Joint demosaicking and denoising benefits from a two-stage training strategy. J. Comput. Appl. Math. 434: 115330 (2023) - [j98]Cheng Chang, Tieyong Zeng:
A hybrid data-driven-physics-constrained Gaussian process regression framework with deep kernel for uncertainty quantification. J. Comput. Phys. 486: 112129 (2023) - [j97]Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng:
Deep Generative Mixture Model for Robust Imbalance Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2897-2912 (2023) - [j96]Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng:
Rank-One Prior: Real-Time Scene Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8845-8860 (2023) - [j95]Chaoyan Huang, Tingting Wu, Juncheng Li, Bin Dong, Tieyong Zeng:
Single-particle reconstruction in cryo-EM based on three-dimensional weighted nuclear norm minimization. Pattern Recognit. 143: 109736 (2023) - [j94]Fan Jia, Hok Shing Wong, Tiange Wang, Tieyong Zeng:
A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement. Pattern Recognit. 144: 109823 (2023) - [j93]Barintag Saheya, Zhijie An, Qiyu Jin, Xu Chen, Maoguo Gong, Tieyong Zeng:
MTU2-Net: Extracting Internal Solitary Waves from SAR Images. Remote. Sens. 15(23): 5441 (2023) - [j92]Jianfei Li, Chaoyan Huang, Raymond H. Chan, Han Feng, Michael K. Ng, Tieyong Zeng:
Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks. SIAM J. Imaging Sci. 16(3): 1177-1194 (2023) - [j91]Zhi-Feng Pang, Mengxiao Geng, Lan Zhang, Yanru Zhou, Tieyong Zeng, Liyun Zheng, Na Zhang, Dong Liang, Hairong Zheng, Yongming Dai, Zhenxing Huang, Zhanli Hu:
Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation. Signal Process. 205: 108881 (2023) - [j90]Fang Li, Faming Fang, Zhi Li, Tieyong Zeng:
Single image noise level estimation by artificial noise. Signal Process. 213: 109215 (2023) - [j89]Ziyu Liu, Ruyi Feng, Lizhe Wang, Tieyong Zeng:
Gradient Prior Dilated Convolution Network for Remote Sensing Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3945-3958 (2023) - [j88]Qianting Ma, Yang Wang, Tieyong Zeng:
Low-Light Image Enhancement via Implicit Priors Regularized Illumination Optimization. IEEE Trans. Computational Imaging 9: 944-953 (2023) - [j87]Chenxin Wang, Zhenwei Zhang, Zhichang Guo, Tieyong Zeng, Yuping Duan:
Efficient SAV Algorithms for Curvature Minimization Problems. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1624-1642 (2023) - [j86]Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi:
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. IEEE Trans. Image Process. 32: 1978-1991 (2023) - [j85]Jian Guan, Ming Fan, Tieyong Zeng, Lihua Li:
Learning Common and Task-Specific Radiomic Features via Graph Regularized NMF for the Joint Prediction of Multiple Clinical Indicators in Breast Cancer. IEEE J. Biomed. Health Informatics 27(10): 4792-4803 (2023) - [j84]Ming Fan, Guangyao Huang, Junhong Lou, Xin Gao, Tieyong Zeng, Lihua Li:
Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification. IEEE J. Biomed. Health Informatics 27(11): 5495-5505 (2023) - [j83]Qiaosi Yi, Faming Fang, Guixu Zhang, Tieyong Zeng:
Frequency Learning via Multi-Scale Fourier Transformer for MRI Reconstruction. IEEE J. Biomed. Health Informatics 27(11): 5506-5517 (2023) - [j82]Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang:
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. IEEE Trans. Medical Imaging 42(6): 1859-1874 (2023) - [j81]Qianting Ma, Yang Wang, Tieyong Zeng:
Retinex-Based Variational Framework for Low-Light Image Enhancement and Denoising. IEEE Trans. Multim. 25: 5580-5588 (2023) - [j80]Xiaofeng Ding, Tieyong Zeng, Jian Tang, Zhengping Che, Yaxin Peng:
SRRNet: A Semantic Representation Refinement Network for Image Segmentation. IEEE Trans. Multim. 25: 5720-5732 (2023) - [c34]Xiaole Tang, Xile Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng:
Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior. CVPR 2023: 9883-9892 - [c33]Hansheng Guo, Juncheng Li, Guangwei Gao, Zhi Li, Tieyong Zeng:
PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution. ICASSP 2023: 1-5 - [c32]Pengcheng Lei, Faming Fang, Guixu Zhang, Tieyong Zeng:
Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction. ICCV 2023: 21239-21249 - [c31]Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing:
Recognizable Information Bottleneck. IJCAI 2023: 4028-4036 - [c30]Baihong Xie, Xiujian Liu, Heye Zhang, Chenchu Xu, Tieyong Zeng, Yixuan Yuan, Guang Yang, Zhifan Gao:
Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment. MICCAI (7) 2023: 110-120 - [c29]Xin Liu, Yilin Lyu, Liping Jing, Tieyong Zeng, Jian Yu:
Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning. ECML/PKDD (2) 2023: 421-437 - [c28]Xin Liu, Shijing Wang, Kairui Zhou, Yilin Lyu, Mingyang Song, Liping Jing, Tieyong Zeng, Jian Yu:
vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning. ECML/PKDD (2) 2023: 454-470 - [i43]Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li:
ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. CoRR abs/2301.06002 (2023) - [i42]Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang:
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks. CoRR abs/2301.09245 (2023) - [i41]Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan:
Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. CoRR abs/2302.07045 (2023) - [i40]Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang:
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. CoRR abs/2302.10309 (2023) - [i39]Feng-Lei Fan, Hang-Cheng Dong, Zhongming Wu, Lecheng Ruan, Tieyong Zeng, Yiming Cui, Jing-Xiao Liao:
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks. CoRR abs/2303.06316 (2023) - [i38]Hansheng Guo, Juncheng Li, Guangwei Gao, Zhi Li, Tieyong Zeng:
PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution. CoRR abs/2303.13807 (2023) - [i37]Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun:
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. CoRR abs/2303.16841 (2023) - [i36]Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Tieyong Zeng:
EWT: Efficient Wavelet-Transformer for Single Image Denoising. CoRR abs/2304.06274 (2023) - [i35]Hanhui Yang, Juncheng Li, Lok Ming Lui, Shihui Ying, Jun Shi, Tieyong Zeng:
Fast MRI Reconstruction via Edge Attention. CoRR abs/2304.11400 (2023) - [i34]Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing:
Recognizable Information Bottleneck. CoRR abs/2304.14618 (2023) - [i33]Feng-Lei Fan, Zeyu Li, Huan Xiong, Tieyong Zeng:
Rethink Depth Separation with Intra-layer Links. CoRR abs/2305.07037 (2023) - [i32]Yiming Cui, Lecheng Ruan, Hang-Cheng Dong, Qiang Li, Zhongming Wu, Tieyong Zeng, Feng-Lei Fan:
Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance. CoRR abs/2305.07814 (2023) - [i31]Feng-Lei Fan, Wei Huang, Xiangru Zhong, Lecheng Ruan, Tieyong Zeng, Huan Xiong, Fei Wang:
Deep ReLU Networks Have Surprisingly Simple Polytopes. CoRR abs/2305.09145 (2023) - [i30]Jing-Xiao Liao, Sheng-Lai Wei, Chen-Long Xie, Tieyong Zeng, Jinwei Sun, Shiping Zhang, Xiaoge Zhang, Feng-Lei Fan:
BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration. CoRR abs/2307.16363 (2023) - [i29]Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond H. Chan, Ying Shan:
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models. CoRR abs/2310.11440 (2023) - [i28]Tingting Wu, Zhiyan Du, Zhi Li, Feng-Lei Fan, Tieyong Zeng:
VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation. CoRR abs/2310.19477 (2023) - [i27]Yingying Fang, Shuang Wu, Sheng Zhang, Chaoyan Huang, Tieyong Zeng, Xiaodan Xing, Simon Walsh, Guang Yang:
Dynamic Multimodal Information Bottleneck for Multimodality Classification. CoRR abs/2311.01066 (2023) - [i26]Le Jiang, Liyan Ma, Tieyong Zeng, Shihui Ying:
UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution. CoRR abs/2311.09757 (2023) - [i25]Cheng Chang, Zhouping Xin, Tieyong Zeng:
A conservative hybrid physics-informed neural network method for Maxwell-Ampère-Nernst-Planck equations. CoRR abs/2312.05891 (2023) - 2022
- [j79]Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. Neurocomputing 489: 449-465 (2022) - [j78]Juncheng Li, Faming Fang, Tieyong Zeng, Guixu Zhang, Xizhao Wang:
Adjustable super-resolution network via deep supervised learning and progressive self-distillation. Neurocomputing 500: 379-393 (2022) - [j77]Yuchao Tang, Meng Wen, Tieyong Zeng:
Preconditioned Three-Operator Splitting Algorithm with Applications to Image Restoration. J. Sci. Comput. 92(3): 106 (2022) - [j76]Tingting Wu, Zhihui Mao, Zeyu Li, Yonghua Zeng, Tieyong Zeng:
Efficient Color Image Segmentation via Quaternion-based L1/L2 Regularization. J. Sci. Comput. 93(1): 9 (2022) - [j75]Shuailing Feng, Wen Huang, Lele Song, Shihui Ying, Tieyong Zeng:
Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds. Optim. Lett. 16(8): 2277-2297 (2022) - [j74]Zhi Li, Ming Yan, Tieyong Zeng, Guixu Zhang:
Phase retrieval from incomplete data via weighted nuclear norm minimization. Pattern Recognit. 125: 108537 (2022) - [j73]Chaoyan Huang, Zhi Li, Yubing Liu, Tingting Wu, Tieyong Zeng:
Quaternion-based weighted nuclear norm minimization for color image restoration. Pattern Recognit. 128: 108665 (2022) - [j72]Tingting Wu, Xiaoyu Gu, Zeyu Li, Zhi Li, Jianwei Niu, Tieyong Zeng:
Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise. SIAM J. Imaging Sci. 15(2): 424-454 (2022) - [j71]Yueyun Liu, Yuping Duan, Tieyong Zeng:
Learning multi-level structural information for small organ segmentation. Signal Process. 193: 108418 (2022) - [j70]Chaoyan Huang, Yingying Fang, Tingting Wu, Tieyong Zeng, Yonghua Zeng:
Quaternion Screened Poisson Equation for Low-Light Image Enhancement. IEEE Signal Process. Lett. 29: 1417-1421 (2022) - [j69]Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng:
Deep Tensor CCA for Multi-View Learning. IEEE Trans. Big Data 8(6): 1664-1677 (2022) - [j68]Ruyi Feng, Hao Li, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng:
Local Spatial Constraint and Total Variation for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j67]Ziyu Liu, Ruyi Feng, Lizhe Wang, Wei Han, Tieyong Zeng:
Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j66]Yuqiang Zhang, Min Liu, Fuhao Yu, Tieyong Zeng, Yaonan Wang:
An O-Shape Neural Network With Attention Modules to Detect Junctions in Biomedical Images Without Segmentation. IEEE J. Biomed. Health Informatics 26(2): 774-785 (2022) - [j65]Chaoyan Huang, Michael K. Ng, Tingting Wu, Tieyong Zeng:
Quaternion-Based Dictionary Learning and Saturation-Value Total Variation Regularization for Color Image Restoration. IEEE Trans. Multim. 24: 3769-3781 (2022) - [c27]Meina Zhang, Yingying Fang, Guoxi Ni, Tieyong Zeng:
Pixel screening based intermediate correction for blind deblurring. CVPR 2022: 1-9 - [c26]Zhisheng Lu, Juncheng Li, Hong Liu, Chaoyan Huang, Linlin Zhang, Tieyong Zeng:
Transformer for Single Image Super-Resolution. CVPR Workshops 2022: 456-465 - [c25]Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang:
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation. CVPR Workshops 2022: 557-566 - [c24]Yingying Fang, Hao Zhang, Hok Shing Wong, Tieyong Zeng:
A robust non-blind deblurring method using deep denoiser prior. CVPR Workshops 2022: 734-743 - [c23]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2022: 905-918 - [c22]Zhi Li, Ruyi Feng, Yichang Shi, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng:
Graph Laplacian Regularized Spectral-Spatial-Sparse Unmixing for Hyperspectral Imagery. IGARSS 2022: 1608-1611 - [c21]Ziyu Liu, Ruyi Feng, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng:
Remote Sensing Image Super-Resolution via Dilated Convolution Network with Gradient Prior. IGARSS 2022: 2402-2405 - [c20]Fumin Cui, Yichang Shi, Ruyi Feng, Lizhe Wang, Tieyong Zeng:
A Graph-Based Dual Convolutional Network for Automatic Road Extraction from High Resolution Remote Sensing Images. IGARSS 2022: 3015-3018 - [c19]Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng:
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer. IJCAI 2022: 913-919 - [c18]Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng:
Exploring Latent Sparse Graph for Large-Scale Semi-supervised Learning. ECML/PKDD (4) 2022: 367-383 - [i24]Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi:
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. CoRR abs/2204.08696 (2022) - [i23]Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng:
Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer. CoRR abs/2204.13286 (2022) - [i22]Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang:
Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation. CoRR abs/2204.13873 (2022) - [i21]Jianwei Niu, Hok Shing Wong, Tieyong Zeng:
Convex Augmentation for Total Variation Based Phase Retrieval. CoRR abs/2205.00834 (2022) - [i20]Cheng Chang, Tieyong Zeng:
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification. CoRR abs/2205.06494 (2022) - [i19]Bodong Cheng, Juncheng Li, Ying Chen, Shuyi Zhang, Tieyong Zeng:
Snow Mask Guided Adaptive Residual Network for Image Snow Removal. CoRR abs/2207.04754 (2022) - [i18]Jianfei Li, Chaoyan Huang, Raymond H. Chan, Han Feng, Micheal Ng, Tieyong Zeng:
Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks. CoRR abs/2209.14604 (2022) - [i17]Xiaole Tang, Xile Zhao, Jun Liu, Jian-Li Wang, Yuchun Miao, Tieyong Zeng:
Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge. CoRR abs/2210.05361 (2022) - [i16]Tingting Wu, Wenna Wu, Ying Yang, Feng-Lei Fan, Tieyong Zeng:
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework. CoRR abs/2210.05436 (2022) - 2021
- [j64]Tingting Wu, Jinbo Shao, Xiaoyu Gu, Michael K. Ng, Tieyong Zeng:
Two-stage image segmentation based on nonconvex ℓ2-ℓp approximation and thresholding. Appl. Math. Comput. 403: 126168 (2021) - [j63]Shaowen Yan, Guoxi Ni, Tieyong Zeng:
Image restoration based on fractional-order model with decomposition: texture and cartoon. Comput. Appl. Math. 40(8) (2021) - [j62]Lihua Min, Qiang Cui, Zhengmeng Jin, Tieyong Zeng:
Inhomogeneous image segmentation based on local constant and global smoothness priors. Digit. Signal Process. 111: 102989 (2021) - [j61]Xinyue Wang, Jian Xu, Tieyong Zeng, Liping Jing:
Local distribution-based adaptive minority oversampling for imbalanced data classification. Neurocomputing 422: 200-213 (2021) - [j60]Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Tieyong Zeng:
Smooth Soft-Balance Discriminative Analysis for imbalanced data. Knowl. Based Syst. 228: 106604 (2021) - [j59]Jun Liu, Ming Yan, Tieyong Zeng:
Surface-Aware Blind Image Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1041-1055 (2021) - [j58]Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng:
Overlapping Domain Decomposition Methods for Ptychographic Imaging. SIAM J. Sci. Comput. 43(3): B570-B597 (2021) - [j57]Tingting Wu, Xiaoyu Gu, Youguo Wang, Tieyong Zeng:
Adaptive total variation based image segmentation with semi-proximal alternating minimization. Signal Process. 183: 108017 (2021) - [j56]Fan Jia, Liyan Ma, Yijin Yang, Tieyong Zeng:
Pixel-Attention CNN With Color Correlation Loss for Color Image Denoising. IEEE Signal Process. Lett. 28: 1600-1604 (2021) - [j55]Changhao Guo, Min Liu, Tongkun Guan, Weixun Chen, He Wen, Tieyong Zeng, Yaonan Wang:
Crossover Structure Separation With Application to Neuron Tracing in Volumetric Images. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j54]Fuhao Yu, Min Liu, Weixun Chen, He Wen, Yaonan Wang, Tieyong Zeng:
Automatic Repair of 3-D Neuron Reconstruction Based on Topological Feature Points and an MOST-Based Repairer. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j53]Li Wang, Raymond H. Chan, Tieyong Zeng:
Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning. IEEE Trans. Neural Networks Learn. Syst. 32(2): 853-867 (2021) - [j52]Faming Fang, Juncheng Li, Yiting Yuan, Tieyong Zeng, Guixu Zhang:
Multilevel Edge Features Guided Network for Image Denoising. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3956-3970 (2021) - [c17]Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng:
Rank-One Prior: Toward Real-Time Scene Recovery. CVPR 2021: 14802-14810 - [c16]Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng:
Structure-Preserving Deraining with Residue Channel Prior Guidance. ICCV 2021: 4218-4227 - [c15]Fan Jia, Wing Hong Wong, Tieyong Zeng:
DDUNet: Dense Dense U-Net with Applications in Image Denoising. ICCVW 2021: 354-364 - [c14]Xiaofeng Ding, Chaomin Shen, Zhengping Che, Tieyong Zeng, Yaxin Peng:
SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation. ICCVW 2021: 3002-3011 - [i15]Liu Liu, Tieyong Zeng, Zecheng Zhang:
A deep neural network approach on solving the linear transport model under diffusive scaling. CoRR abs/2102.12408 (2021) - [i14]Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng:
Rank-One Prior: Toward Real-Time Scene Recovery. CoRR abs/2103.17126 (2021) - [i13]Cheng Chang, Liu Liu, Tieyong Zeng:
Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs. CoRR abs/2104.09625 (2021) - [i12]Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng:
Structure-Preserving Deraining with Residue Channel Prior Guidance. CoRR abs/2108.09079 (2021) - [i11]Juncheng Li, Zehua Pei, Tieyong Zeng:
From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution. CoRR abs/2109.14335 (2021) - [i10]Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang:
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR abs/2111.01968 (2021) - 2020
- [j51]Tingting Wu, Wei Li, Lihua Li, Tieyong Zeng:
A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise. IEEE Access 8: 37790-37807 (2020) - [j50]Xiaofeng Ding, Yaxin Peng, Chaomin Shen, Tieyong Zeng:
CAB U-Net: An end-to-end category attention boosting algorithm for segmentation. Comput. Medical Imaging Graph. 84: 101764 (2020) - [j49]Zhijie Wen, Jiawei Guan, Tieyong Zeng, Ying Li:
Residual network with detail perception loss for single image super-resolution. Comput. Vis. Image Underst. 199: 103007 (2020) - [j48]Yingying Fang, Tieyong Zeng:
Learning deep edge prior for image denoising. Comput. Vis. Image Underst. 200: 103044 (2020) - [j47]Huan Pan, You-Wei Wen, Tieyong Zeng:
Constrained Total Variation Based Three-Dimension Single Particle Reconstruction in Cryogenic Electron Microscopy. J. Sci. Comput. 85(2): 37 (2020) - [j46]Xu Li, Xiaoping Yang, Tieyong Zeng:
A Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information. SIAM J. Imaging Sci. 13(3): 1692-1715 (2020) - [j45]Zhi-Feng Pang, Hui-Li Zhang, Shousheng Luo, Tieyong Zeng:
Image denoising based on the adaptive weighted TVp regularization. Signal Process. 167 (2020) - [j44]Yijie Yang, Qiuxiang Zhong, Yuping Duan, Tieyong Zeng:
A weighted bounded Hessian variational model for image labeling and segmentation. Signal Process. 173: 107564 (2020) - [j43]Tingting Wu, Wei Li, Shilong Jia, Yiqiu Dong, Tieyong Zeng:
Deep Multi-Level Wavelet-CNN Denoiser Prior for Restoring Blurred Image With Cauchy Noise. IEEE Signal Process. Lett. 27: 1635-1639 (2020) - [j42]Faming Fang, Juncheng Li, Tieyong Zeng:
Soft-Edge Assisted Network for Single Image Super-Resolution. IEEE Trans. Image Process. 29: 4656-4668 (2020) - [j41]Faming Fang, Tingting Wang, Yang Wang, Tieyong Zeng, Guixu Zhang:
Variational Single Image Dehazing for Enhanced Visualization. IEEE Trans. Multim. 22(10): 2537-2550 (2020) - [j40]Faming Fang, Tingting Wang, Tieyong Zeng, Guixu Zhang:
A Superpixel-Based Variational Model for Image Colorization. IEEE Trans. Vis. Comput. Graph. 26(10): 2931-2943 (2020) - [i9]Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng:
Deep Tensor CCA for Multi-view Learning. CoRR abs/2005.11914 (2020) - [i8]Yu Guo, Qiyu Jin, Gabriele Facciolo, Tieyong Zeng, Jean-Michel Morel:
Residual Learning for Effective joint Demosaicing-Denoising. CoRR abs/2009.06205 (2020) - [i7]Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng:
Overlapping Domain Decomposition Methods for Ptychographic Imaging. CoRR abs/2011.00162 (2020) - [i6]Jie Chen, Tingting Zhang, Tieyong Zeng, Qiyu Jin:
Edge Adaptive Hybrid Regularization Model For Image Deblurring. CoRR abs/2011.10260 (2020)
2010 – 2019
- 2019
- [j39]Juntao You, Yuling Jiao, Xiliang Lu, Tieyong Zeng:
A Nonconvex Model with Minimax Concave Penalty for Image Restoration. J. Sci. Comput. 78(2): 1063-1086 (2019) - [j38]Liyuan Chen, Yutian Li, Tieyong Zeng:
Variational Image Restoration and Segmentation with Rician Noise. J. Sci. Comput. 78(3): 1329-1352 (2019) - [j37]Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng:
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. SIAM J. Sci. Comput. 41(6): B1310-B1340 (2019) - [c13]Jun Liu, Ming Yan, Jinshan Zeng, Tieyong Zeng:
Image Smoothing Via Gradient Sparsity and Surface Area Minimization. ICIP 2019: 1114-1118 - [i5]Wing Hong Wong, Yifei Lou, Tieyong Zeng:
Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness. CoRR abs/1904.10157 (2019) - [i4]Xiaohao Cai, Raymond H. Chan, Xiaoyu Xie, Tieyong Zeng:
A Two-stage Classification Method for High-dimensional Data and Point Clouds. CoRR abs/1905.08538 (2019) - [i3]Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng:
Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points. CoRR abs/1912.02233 (2019) - 2018
- [j36]Chunxiao Liu, Michael Kwok-Po Ng, Tieyong Zeng:
Weighted variational model for selective image segmentation with application to medical images. Pattern Recognit. 76: 367-379 (2018) - [j35]Huibin Chang, Stefano Marchesini, Yifei Lou, Tieyong Zeng:
Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm. SIAM J. Imaging Sci. 11(1): 56-93 (2018) - [i2]Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng:
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. CoRR abs/1807.10194 (2018) - 2017
- [j34]Zhi Li, François Malgouyres, Tieyong Zeng:
Regularized Non-local Total Variation and Application in Image Restoration. J. Math. Imaging Vis. 59(2): 296-317 (2017) - [j33]Liyan Ma, Li Xu, Tieyong Zeng:
Low Rank Prior and Total Variation Regularization for Image Deblurring. J. Sci. Comput. 70(3): 1336-1357 (2017) - [j32]Xiaohao Cai, Raymond H. Chan, Mila Nikolova, Tieyong Zeng:
A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). J. Sci. Comput. 72(3): 1313-1332 (2017) - 2016
- [j31]Liyan Ma, Tieyong Zeng:
Image Deblurring Via Total Variation Based Structured Sparse Model Selection. J. Sci. Comput. 67(1): 1-19 (2016) - [j30]Zhi Li, Yifei Lou, Tieyong Zeng:
Variational Multiplicative Noise Removal by DC Programming. J. Sci. Comput. 68(3): 1200-1216 (2016) - [j29]Fang Li, Tieyong Zeng:
A New Algorithm Framework for Image Inpainting in Transform Domain. SIAM J. Imaging Sci. 9(1): 24-51 (2016) - [j28]Huibin Chang, Yifei Lou, Michael K. Ng, Tieyong Zeng:
Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization. SIAM J. Sci. Comput. 38(6) (2016) - 2015
- [j27]Liyuan Chen, Tieyong Zeng:
A Convex Variational Model for Restoring Blurred Images with Large Rician Noise. J. Math. Imaging Vis. 53(1): 92-111 (2015) - [j26]Yifei Lou, Tieyong Zeng, Stanley J. Osher, Jack Xin:
A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing. SIAM J. Imaging Sci. 8(3): 1798-1823 (2015) - [j25]Federica Sciacchitano, Yiqiu Dong, Tieyong Zeng:
Variational Approach for Restoring Blurred Images with Cauchy Noise. SIAM J. Imaging Sci. 8(3): 1894-1922 (2015) - [c12]Rémy Abergel, Cécile Louchet, Lionel Moisan, Tieyong Zeng:
Total Variation Restoration of Images Corrupted by Poisson Noise with Iterated Conditional Expectations. SSVM 2015: 178-190 - [i1]Xiaohao Cai, Raymond H. Chan, Mila Nikolova, Tieyong Zeng:
A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). CoRR abs/1506.00060 (2015) - 2014
- [j24]Raymond H. Chan, Hongfei Yang, Tieyong Zeng:
A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise. SIAM J. Imaging Sci. 7(1): 98-127 (2014) - [j23]Faming Fang, Fang Li, Tieyong Zeng:
Single Image Dehazing and Denoising: A Fast Variational Approach. SIAM J. Imaging Sci. 7(2): 969-996 (2014) - [j22]Fang Li, Tieyong Zeng:
A Universal Variational Framework for Sparsity-Based Image Inpainting. IEEE Trans. Image Process. 23(10): 4242-4254 (2014) - [j21]Huibin Chang, Michael K. Ng, Tieyong Zeng:
Reducing Artifacts in JPEG Decompression Via a Learned Dictionary. IEEE Trans. Signal Process. 62(3): 718-728 (2014) - [c11]Zhi Li, Tieyong Zeng:
Color Image Segmentation by Minimal Surface Smoothing. EMMCVPR 2014: 321-334 - [c10]Yuping Duan, Weimin Huang, Jiayin Zhou, Huibin Chang, Tieyong Zeng:
A Two-Stage Image Segmentation Method Using Euler's Elastica Regularized Mumford-Shah Model. ICPR 2014: 118-123 - 2013
- [j20]Fang Li, Tieyong Zeng:
Image Restoration via Tight Frame Regularization and Local Constraints. J. Sci. Comput. 57(2): 349-371 (2013) - [j19]Xiaohao Cai, Raymond H. Chan, Tieyong Zeng:
A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding. SIAM J. Imaging Sci. 6(1): 368-390 (2013) - [j18]Yiqiu Dong, Tieyong Zeng:
A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise. SIAM J. Imaging Sci. 6(3): 1598-1625 (2013) - [j17]Liyan Ma, Jian Yu, Tieyong Zeng:
Sparse Representation Prior and Total Variation-Based Image Deblurring under Impulse Noise. SIAM J. Imaging Sci. 6(4): 2258-2284 (2013) - [j16]Yu-Mei Huang, De-Yong Lu, Tieyong Zeng:
Two-Step Approach for the Restoration of Images Corrupted by Multiplicative Noise. SIAM J. Sci. Comput. 35(6) (2013) - [j15]Xi-Le Zhao, Wei Wang, Tieyong Zeng, Ting-Zhu Huang, Michael K. Ng:
Total Variation Structured Total Least Squares Method for Image Restoration. SIAM J. Sci. Comput. 35(6) (2013) - [j14]Xiaolong Li, Bin Li, Bin Yang, Tieyong Zeng:
General Framework to Histogram-Shifting-Based Reversible Data Hiding. IEEE Trans. Image Process. 22(6): 2181-2191 (2013) - [j13]Liyan Ma, Lionel Moisan, Jian Yu, Tieyong Zeng:
A Dictionary Learning Approach for Poisson Image Deblurring. IEEE Trans. Medical Imaging 32(7): 1277-1289 (2013) - [j12]Liping Jing, Michael K. Ng, Tieyong Zeng:
Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 24(8): 1188-1199 (2013) - 2012
- [j11]Fang Li, Tieyong Zeng, Guixu Zhang:
Lagrangian multipliers and split Bregman methods for minimization problems constrained on Sn-1. J. Vis. Commun. Image Represent. 23(7): 1041-1050 (2012) - [j10]Fang Li, Ling Pi, Tieyong Zeng:
Explicit Coherence Enhancing Filter With Spatial Adaptive Elliptical Kernel. IEEE Signal Process. Lett. 19(9): 555-558 (2012) - [j9]Yu-Mei Huang, Lionel Moisan, Michael K. Ng, Tieyong Zeng:
Multiplicative Noise Removal via a Learned Dictionary. IEEE Trans. Image Process. 21(11): 4534-4543 (2012) - [c9]Liping Jing, Jian Yu, Tieyong Zeng, Yan Zhu:
Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization. Brain Informatics 2012: 309-319 - 2011
- [j8]Liping Jing, Michael K. Ng, Tieyong Zeng:
On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation. Adv. Data Sci. Adapt. Anal. 3(1-2): 127-148 (2011) - [j7]Yu Xiao, Tieyong Zeng, Jian Yu, Michael K. Ng:
Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0 minimization. Pattern Recognit. 44(8): 1708-1720 (2011) - [j6]Tieyong Zeng, François Malgouyres:
Matching pursuit shrinkage in Hilbert spaces. Signal Process. 91(12): 2754-2766 (2011) - [j5]Xiaolong Li, Bin Yang, Tieyong Zeng:
Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection. IEEE Trans. Image Process. 20(12): 3524-3533 (2011) - 2010
- [j4]Fang Li, Michael K. Ng, Tieyong Zeng, Chunli Shen:
A Multiphase Image Segmentation Method Based on Fuzzy Region Competition. SIAM J. Imaging Sci. 3(3): 277-299 (2010) - [j3]Tieyong Zeng, Michael K. Ng:
On the Total Variation Dictionary Model. IEEE Trans. Image Process. 19(3): 821-825 (2010) - [c8]Yu Xiao, Tieyong Zeng:
Poisson noise removal via learned dictionary. ICIP 2010: 1177-1180 - [c7]Kaiwei Cai, Xiaolong Li, Tieyong Zeng, Bin Yang, Xiaoqing Lu:
Reliable histogram features for detecting LSB matching. ICIP 2010: 1761-1764
2000 – 2009
- 2009
- [j2]François Malgouyres, Tieyong Zeng:
A Predual Proximal Point Algorithm Solving a Non Negative Basis Pursuit Denoising Model. Int. J. Comput. Vis. 83(3): 294-311 (2009) - [j1]Xiaolong Li, Bin Yang, Daofang Cheng, Tieyong Zeng:
A Generalization of LSB Matching. IEEE Signal Process. Lett. 16(2): 69-72 (2009) - [c6]Yunkai Gao, Xiaolong Li, Tieyong Zeng, Bin Yang:
Improving embedding efficiency via matrix embedding: A case study. ICIP 2009: 109-112 - 2008
- [c5]Tieyong Zeng:
Incorporating known features into a total variation dictionary model for source separation. ICIP 2008: 577-580 - [c4]Xiaolong Li, Tieyong Zeng, Bin Yang:
A further study on steganalysis of LSB matching by calibration. ICIP 2008: 2072-2075 - [c3]Xiaolong Li, Tieyong Zeng, Bin Yang:
Improvement of the embedding efficiency of LSB matching by sum and difference covering set. ICME 2008: 209-212 - [c2]Xiaolong Li, Tieyong Zeng, Bin Yang:
Detecting LSB matching by applying calibration technique for difference image. MM&Sec 2008: 133-138 - 2006
- [c1]Tieyong Zeng, François Malgouyres:
Using Gabor Dictionaries in A TV - L∞Model, for Denoising. ICASSP (2) 2006: 865-868
Coauthor Index
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