Tieyong Zeng - RankMe

286 papers A* 12A 3B 7C 3Misc 1Journal 242Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Single Image Blind Motion Deblurring from Traditional to Deep Learning. ACM Comput. Surv. Tingting Zhang, Jiawei Lu, Qiyu Jin, Tieyong Zeng
2026	J	`jnl`	A structure adaptivity variation-based segmentation model for image with retinex and noise. Signal Process. Yuan Wang, Tieyong Zeng, Zhi-Feng Pang, Hong Ge
2026	J	`jnl`	An Improved Boosted DC Algorithm for Nonsmooth Functions with Applications in Image Recovery. CoRR Zeyu Li, Te Qi, Tieyong Zeng
2026	J	`jnl`	An efficient algorithm for vertex enumeration of arrangement. Discret. Appl. Math. Zelin Dong, Fenglei Fan, Huan Xiong, Tieyong Zeng
2026	J	`jnl`	EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies. CoRR Xavier Hu, Jinxiang Xia, Shengze Xu, Kangqi Song, Yishuo Yuan, Guibin Zhang, Jincheng Ren, Boyu Feng, Li Lu, Tieyong Zeng, Jiaheng Liu, Minghao Liu, He Zhu, Yuchen Eleanor Jiang, Wei Wang, Wangchunshu Zhou
2026	J	`jnl`	Effective Solutions to Robust Orthogonal Nonnegative Matrix Factorization via Oblique Manifold Transformation. SIAM J. Imaging Sci. Fan Jia, Yuxiang Hui, Tieyong Zeng
2026	J	`jnl`	Efficient Approximation to Analytic and L CoRR Zeyu Li, Fenglei Fan, Tieyong Zeng
2026	J	`jnl`	Frequency-spatial synergistic network for accelerated multi-contrast MRI reconstruction. Comput. Medical Imaging Graph. Ke Li, Dong Liang, Guoqing Chen, Qiyu Jin, Tieyong Zeng
2026	J	`jnl`	Kernel FISTA and Application to Image Deblurring. J. Sci. Comput. Te Qi, Hao Zhang, Zeyu Li, Yingying Fang, Tieyong Zeng
2026	J	`jnl`	MSAFed: Generalized Multi-Stage and Adaptive Federated Learning for Test-Time Medical Segmentation. IEEE J. Biomed. Health Informatics Jiajie Jin, Xuanmin Chen, Liyan Ma, Shihui Ying, Guang Yang, Tieyong Zeng
2026	J	`jnl`	Neural Network Approximation: A View from Polytope Decomposition. CoRR Zeyu Li, Shijun Zhang, Tieyong Zeng, Fenglei Fan
2026	J	`jnl`	On Expressivity of Height in Neural Networks. IEEE Trans. Artif. Intell. Feng-Lei Fan, Ze-Yu Li, Huan Xiong, Tieyong Zeng
2026	J	`jnl`	Quaternion adaptive approximation normalization graph guided implicit low rank for robust matrix completion. Pattern Recognit. Yu Guo, Yi Liu, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng
2026	A*	`conf`	RPE-PAD: Relative Pose Estimation for Pose-agnostic Anomaly Detection. AAAI Zhipeng Zhang, Mengzan Qi, Rongkang Ma, Yingying Fang, Guixu Zhang, Tieyong Zeng, Zhi Li
2026	J	`jnl`	Total curvature-driven blind image deblurring. J. Comput. Appl. Math. Caiying Wu, Lulu Zhang, Tingting Zhang, Jiawei Lu, Guoqing Chen, Jun Liu, Qiyu Jin, Tieyong Zeng
2026	J	`jnl`	WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents. CoRR Sicheng Fan, Qingyun Shi, Shengze Xu, Shengbo Cai, Tieyong Zeng, Li Ling, Yanyi Shang, Dehan Kong
2025	J	`jnl`	A Contrast-Saturation Adaptive Model for Low-Light Image Enhancement. SIAM J. Imaging Sci. Qianting Ma, Yang Wang, Tieyong Zeng
2025	J	`jnl`	A Temporal Proximity Regularized Clusterwise Vector Autoregressive Method for Multivariate Time Series Clustering. J. Sci. Comput. Min Li, Raymond Chan, Yu-Mei Huang, Tieyong Zeng
2025	J	`jnl`	A lightweight self-ensemble feedback recurrent network for fast MRI reconstruction. Int. J. Mach. Learn. Cybern. Juncheng Li, Hanhui Yang, Lok Ming Lui, Guixu Zhang, Jun Shi, Tieyong Zeng
2025	J	`jnl`	A sharpening median filter for Cauchy noise with wavelet based regularization. J. Comput. Appl. Math. Xiao Ai, Guoxi Ni, Tieyong Zeng
2025	J	`jnl`	Adaptive Superpixel-Guided Non-Homogeneous Image Dehazing. IEEE Signal Process. Lett. Hao Zhang, Ping Luo, Te Qi, Yan Xu, Tieyong Zeng
2025	J	`jnl`	An Adaptive Nonuniform Map Re-weighting Method for Image Dehazing. SIAM J. Imaging Sci. Hao Zhang, Te Qi, Hok Shing Wong, Tieyong Zeng
2025	J	`jnl`	An Improved Optimal Proximal Gradient Algorithm for Non-Blind Image Deblurring. CoRR Qingsong Wang, Shengze Xu, Xiaojiao Tong, Tieyong Zeng
2025	J	`jnl`	Auxiliary Representation Guided Network for Visible-Infrared Person Re-Identification. IEEE Trans. Multim. Mengzan Qi, Sixian Chan, Chen Hang, Guixu Zhang, Tieyong Zeng, Zhi Li
2025	J	`jnl`	Blind Image Deconvolution: When Patch-wise Minimal Pixels Prior Meets Fractional-Order Method. J. Math. Imaging Vis. Tingting Wu, Shaojie Wan, Chenchen Feng, Hao Zhang, Tieyong Zeng
2025	J	`jnl`	Boosting Geometric Invariants for Discriminative Forensics of Large-Scale Generated Visual Content. IEEE Trans. Image Process. Shuren Qi, Chao Wang, Zhiqiu Huang, Yushu Zhang, Xiangyu Chen, Yi Zhang, Tieyong Zeng, Fenglei Fan
2025	J	`jnl`	DGNN: A Neural PDE Solver Induced by Discontinuous Galerkin Methods. CoRR Guanyu Chen, Shengze Xu, Dong Ni, Tieyong Zeng
2025	J	`jnl`	Deep Block Proximal Linearized Minimization Algorithm for Nonconvex Inverse Problems. SIAM J. Math. Data Sci. Chaoyan Huang, Zhongming Wu, Yanqi Cheng, Tieyong Zeng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2025	J	`jnl`	Deep Neural Networks Inspired by Differential Equations. CoRR Yongshuai Liu, Lianfang Wang, Kuilin Qin, Qinghua Zhang, Faqiang Wang, Li Cui, Jun Liu, Yuping Duan, Tieyong Zeng
2025	J	`jnl`	Deep Spectral Prior. CoRR Yanqi Cheng, Tieyong Zeng, Pietro Lio, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2025	J	`jnl`	Diffusion-Driven Pansharpening via Conditional Multi-Stage Fusion. IEEE J. Sel. Top. Signal Process. Pengyu Chen, Libo Cheng, Liang-Jian Deng, Jun Liu, Jianing Sun, Tieyong Zeng
2025	J	`jnl`	Don't fear peculiar activation functions: EUAF and beyond. Neural Networks Qianchao Wang, Shijun Zhang, Dong Zeng, Zhaoheng Xie, Hengtao Guo, Tieyong Zeng, Feng-Lei Fan
2025	J	`jnl`	Edge-Aware Normalized Attention for Efficient and Detail-Preserving Single Image Super-Resolution. CoRR Penghao Rao, Tieyong Zeng
2025	J	`jnl`	EndoVLA: Dual-Phase Vision-Language-Action Model for Autonomous Tracking in Endoscopy. CoRR Chikit Ng, Long Bai, Guankun Wang, Yupeng Wang, Huxin Gao, Kun Yuan, Chenhan Jin, Tieyong Zeng, Hongliang Ren
2025	J	`jnl`	Estimation-Denoising Integration Network Architecture With Updated Parameter for MRI Reconstruction. IEEE Trans. Computational Imaging Tingting Wu, Simiao Liu, Hao Zhang, Tieyong Zeng
2025	J	`jnl`	Fast and Reliable Score-Based Generative Model for Parallel MRI. IEEE Trans. Neural Networks Learn. Syst. Ruizhi Hou, Fang Li, Tieyong Zeng
2025	J	`jnl`	High-Frequency Modulated Transformer for Multi-Contrast MRI Super-Resolution. IEEE Trans. Medical Imaging Juncheng Li, Hanhui Yang, Qiaosi Yi, Minhua Lu, Jun Shi, Tieyong Zeng
2025	J	`jnl`	Large Language Model Evaluated Stand-alone Attention-Assisted Graph Neural Network with Spatial and Structural Information Interaction for Precise Endoscopic Image Segmentation. CoRR Juntong Fan, Shuyi Fan, Debesh Jha, Changsheng Fang, Tieyong Zeng, Hengyong Yu, Dayang Wang
2025	J	`jnl`	Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Inverse Problems. CoRR Deliang Wei, Peng Chen, Haobo Xu, Jiale Yao, Fang Li, Tieyong Zeng
2025	J	`jnl`	MPGB: Learning discriminative embeddings with multi-prototype and gradient balancing strategy for multi-modal 3D open world object detection. Knowl. Based Syst. Haozhe Zhang, Liyan Ma, Zhi Li, Tieyong Zeng
2025	—	`conf`	OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. ACL (1) Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu
2025	J	`jnl`	OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use. CoRR Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu
2025	J	`jnl`	One Neuron Saved is One Neuron Earned: On Parametric Efficiency of Quadratic Networks. IEEE Trans. Pattern Anal. Mach. Intell. Feng-Lei Fan, Hang-Cheng Dong, Zhongming Wu, Lecheng Ruan, Tieyong Zeng, Yiming Cui, Jing-Xiao Liao
2025	A	`conf`	Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising. WSDM Zheng Pan, Xingyu Lou, Xiao Jin, Chiye Ou, Feng Liu, Tieyong Zeng, Chengwei He, Xiang Liu, Lilong Wei, Jun Wang
2025	J	`jnl`	Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction. Pattern Recognit. Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng
2025	J	`jnl`	Quaternion Nuclear Norms Over Frobenius Norms Minimization for Robust Matrix Completion. CoRR Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng
2025	J	`jnl`	Quaternion deep matrix factorization and non-local Laplacian regularization for matrix completion. Knowl. Based Syst. Yu Guo, Guoqing Chen, Qiyu Jin, Tieyong Zeng, Michael Kwok-Po Ng
2025	J	`jnl`	Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. J. Mach. Learn. Res. Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun
2025	—	`conf`	Rethink Deep Learning with Invariance in Data Representation. WWW (Companion Volume) Shuren Qi, Fei Wang, Tieyong Zeng, Fenglei Fan
2025	J	`jnl`	Riemannian Bilevel Optimization with Gradient Aggregation. CoRR Zhuo Chen, Xinjian Xu, Shihui Ying, Tieyong Zeng
2025	J	`jnl`	SAB Net: A Semantic Attention Boosting Framework for Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Ding, Chaomin Shen, Tieyong Zeng, Yaxin Peng
2025	J	`jnl`	Scene recovery with detail-preserving. Signal Process. Image Commun. Tingting Wu, Xinru Wang, Jun Liu, Tieyong Zeng
2025	J	`jnl`	Towards Generic Abdominal Multi-Organ Segmentation with multiple partially labeled datasets. Comput. Medical Imaging Graph. Xiang Li, Faming Fang, Liyan Ma, Tieyong Zeng, Guixu Zhang, Ming Xu
2024	J	`jnl`	A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution. ACM Comput. Surv. Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng
2024	J	`jnl`	A Variational Model for Nonuniform Low-Light Image Enhancement. SIAM J. Imaging Sci. Fan Jia, Shen Mao, Xue-Cheng Tai, Tieyong Zeng
2024	J	`jnl`	A conservative hybrid deep learning method for Maxwell-Ampère-Nernst-Planck equations. J. Comput. Phys. Cheng Chang, Zhouping Xin, Tieyong Zeng
2024	J	`jnl`	A fine-grained orthodontics segmentation model for 3D intraoral scan data. Comput. Biol. Medicine Juncheng Li, Bodong Cheng, Najun Niu, Guangwei Gao, Shihui Ying, Jun Shi, Tieyong Zeng
2024	—	`conf`	ACTIVE: A Deep Network for Sperm and Impurity Detection in Microscopic Videos. BIBM Ao Chen, Feng-Lei Fan, Jinghua Zhang, Md Mamunur Rahaman, Rui Li, Tao Jiang, Tieyong Zeng, Marcin Grzegorzek, Chen Li
2024	J	`jnl`	An Efficient Inexact Gauss-Seidel-Based Algorithm for Image Restoration with Mixed Noise. J. Sci. Comput. Tingting Wu, Yue Min, Chaoyan Huang, Zhi Li, Zhongming Wu, Tieyong Zeng
2024	J	`jnl`	BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration. IEEE Trans. Instrum. Meas. Jing-Xiao Liao, Sheng-Lai Wei, Chen-Long Xie, Tieyong Zeng, Jinwei Sun, Shiping Zhang, Xiaoge Zhang, Feng-Lei Fan
2024	J	`jnl`	DQDG: Data-Free Quantization With Dual Generators for Keyword Spotting. IEEE Signal Process. Lett. Xinbiao Xu, Liyan Ma, Fan Jia, Tieyong Zeng
2024	J	`jnl`	Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems. CoRR Chaoyan Huang, Zhongming Wu, Yanqi Cheng, Tieyong Zeng, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
2024	J	`jnl`	Deep Inertia $L_{p}$ Half-Quadratic Splitting Unrolling Network for Sparse View CT Reconstruction. IEEE Signal Process. Lett. Yu Guo, Caiying Wu, Yaxin Li, Qiyu Jin, Tieyong Zeng
2024	J	`jnl`	Deep Inertia L CoRR Yu Guo, Caiying Wu, Yaxin Li, Qiyu Jin, Tieyong Zeng
2024	J	`jnl`	Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images. IEEE ACM Trans. Comput. Biol. Bioinform. Chao Tu, Denghui Du, Tieyong Zeng, Yu Zhang
2024	J	`jnl`	Detachable image decomposition and illumination mapping search for low-light image enhancement. J. Comput. Appl. Math. Fan Jia, Shen Mao, Zijian Huang, Tieyong Zeng
2024	J	`jnl`	Don't Fear Peculiar Activation Functions: EUAF and Beyond. CoRR Qianchao Wang, Shijun Zhang, Dong Zeng, Zhaoheng Xie, Hengtao Guo, Feng-Lei Fan, Tieyong Zeng
2024	J	`jnl`	Double Transformer Super-Resolution for Breast Cancer ADC Images. IEEE J. Biomed. Health Informatics Ying Yang, Tao Xiang, Xiao Lv, Lihua Li, Lok Ming Lui, Tieyong Zeng
2024	A	`conf`	Dynamic Multimodal Information Bottleneck for Multimodality Classification. WACV Yingying Fang, Shuang Wu, Sheng Zhang, Chaoyan Huang, Tieyong Zeng, Xiaodan Xing, Simon Walsh, Guang Yang
2024	J	`jnl`	EWT: Efficient Wavelet-Transformer for single image denoising. Neural Networks Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Jun Shi, Tieyong Zeng
2024	J	`jnl`	Edge-guided Low-light Image Enhancement with Inertial Bregman Alternating Linearized Minimization. CoRR Chaoyan Huang, Zhongming Wu, Tieyong Zeng
2024	J	`jnl`	Efficient private SCO for heavy-tailed data via averaged clipping. Mach. Learn. Chenhan Jin, Kaiwen Zhou, Bo Han, James Cheng, Tieyong Zeng
2024	J	`jnl`	Enhanced dual contrast representation learning with cell separation and merging for breast cancer diagnosis. Comput. Vis. Image Underst. Yang Liu, Yiqi Zhu, Zhehao Gu, Jinshan Pan, Juncheng Li, Ming Fan, Lihua Li, Tieyong Zeng
2024	A*	`conf`	EvalCrafter: Benchmarking and Evaluating Large Video Generation Models. CVPR Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond Chan, Ying Shan
2024	J	`jnl`	Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration. CoRR Zhongming Wu, Chaoyan Huang, Tieyong Zeng
2024	J	`jnl`	Extrapolated Plug-and-Play Three-Operator Splitting Methods for Nonconvex Optimization with Applications to Image Restoration. SIAM J. Imaging Sci. Zhongming Wu, Chaoyan Huang, Tieyong Zeng
2024	J	`jnl`	FEFA: Frequency Enhanced Multi-Modal MRI Reconstruction With Deep Feature Alignment. IEEE J. Biomed. Health Informatics Xuanmin Chen, Liyan Ma, Shihui Ying, Dinggang Shen, Tieyong Zeng
2024	J	`jnl`	Few sampling meshes-based 3D tooth segmentation via region-aware graph convolutional network. Expert Syst. Appl. Yang Zhao, Bodong Cheng, Najun Niu, Jun Wang, Tieyong Zeng, Guixu Zhang, Jun Shi, Juncheng Li
2024	J	`jnl`	Flow Guidance Deformable Compensation Network for Video Frame Interpolation. IEEE Trans. Multim. Pengcheng Lei, Faming Fang, Tieyong Zeng, Guixu Zhang
2024	J	`jnl`	HFGN: High-Frequency residual Feature Guided Network for fast MRI reconstruction. Pattern Recognit. Faming Fang, Le Hu, Jinhao Liu, Qiaosi Yi, Tieyong Zeng, Guixu Zhang
2024	J	`jnl`	Hyper-Compression: Model Compression via Hyperfunction. CoRR Fenglei Fan, Juntong Fan, Dayang Wang, Jingbo Zhang, Zelin Dong, Shijun Zhang, Ge Wang, Tieyong Zeng
2024	J	`jnl`	Image Segmentation Using Bayesian Inference for Convex Variant Mumford-Shah Variational Model. SIAM J. Imaging Sci. Xu Xiao, You-Wei Wen, Raymond Chan, Tieyong Zeng
2024	J	`jnl`	Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering. CoRR Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng
2024	J	`jnl`	Kernel correlation-dissimilarity for Multiple Kernel k-Means clustering. Pattern Recognit. Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng
2024	J	`jnl`	Low-light Image Enhancement via Dual Reflectance Estimation. J. Sci. Comput. Fan Jia, Tiange Wang, Tieyong Zeng
2024	J	`jnl`	MEF-UNet: An end-to-end ultrasound image segmentation algorithm based on multi-scale feature extraction and fusion. Comput. Medical Imaging Graph. Mengqi Xu, Qianting Ma, Huajie Zhang, Dexing Kong, Tieyong Zeng
2024	J	`jnl`	Medical image reconstruction with multi-level deep learning denoiser and tight frame regularization. Appl. Math. Comput. Tingting Wu, Chaoyan Huang, Shilong Jia, Wei Li, Raymond Chan, Tieyong Zeng, S. Kevin Zhou
2024	J	`jnl`	Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. IEEE Trans. Knowl. Data Eng. Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan
2024	A*	`conf`	Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution. CVPR Hongjun Wang, Jiyuan Chen, Yinqiang Zheng, Tieyong Zeng
2024	J	`jnl`	Navigating Beyond Dropout: An Intriguing Solution Towards Generalizable Image Super Resolution. CoRR Hongjun Wang, Jiyuan Chen, Yinqiang Zheng, Tieyong Zeng
2024	J	`jnl`	No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks. CoRR Feng-Lei Fan, Meng Wang, Hang-Cheng Dong, Jianwei Ma, Tieyong Zeng
2024	A*	`conf`	Purified Distillation: Bridging Domain Shift and Category Gap in Incremental Object Detection. ACM Multimedia Shilong Jia, Tingting Wu, Yingying Fang, Tieyong Zeng, Guixu Zhang, Zhi Li
2024	J	`jnl`	Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction. CoRR Yu Guo, Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael Kwok-Po Ng
2024	J	`jnl`	Quaternion-Aware Low-Rank Prior for Blind Color Image Deblurring. J. Sci. Comput. Hao Zhang, Te Qi, Tieyong Zeng
2024	J	`jnl`	Redefining Temporal Modeling in Video Diffusion: The Vectorized Timestep Approach. CoRR Yaofang Liu, Yumeng Ren, Xiaodong Cun, Aitor Artola, Yang Liu, Tieyong Zeng, Raymond H. Chan, Jean-Michel Morel
2024	J	`jnl`	Rethink Deep Learning with Invariance in Data Representation. CoRR Shuren Qi, Fei Wang, Tieyong Zeng, Fenglei Fan
2024	J	`jnl`	Retinal Vessel Segmentation via Neuron Programming. CoRR Tingting Wu, Ruyi Min, Peixuan Song, Hengtao Guo, Tieyong Zeng, Feng-Lei Fan
2024	J	`jnl`	Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework. IEEE Trans. Neural Networks Learn. Syst. Tingting Wu, Wenna Wu, Ying Yang, Feng-Lei Fan, Tieyong Zeng
2024	J	`jnl`	Scene recovery: Combining visual enhancement and resolution improvement. Pattern Recognit. Hao Zhang, Te Qi, Tieyong Zeng
2024	J	`jnl`	Sparse portfolio optimization via ℓ1 over ℓ2 regularization. Eur. J. Oper. Res. Zhongming Wu, Kexin Sun, Zhili Ge, Zhihua Allen-Zhao, Tieyong Zeng
2024	J	`jnl`	Super-resolving Real-world Image Illumination Enhancement: A New Dataset and A Conditional Diffusion Model. CoRR Yang Liu, Yaofang Liu, Jinshan Pan, Yuxiang Hui, Fan Jia, Raymond H. Chan, Tieyong Zeng
2024	J	`jnl`	The Illusion of Visual Security: Reconstructing Perceptually Encrypted Images. IEEE Trans. Circuits Syst. Video Technol. Ying Yang, Tao Xiang, Xiao Lv, Shangwei Guo, Tieyong Zeng
2024	J	`jnl`	Time multiscale regularization for nonlinear image registration. Comput. Medical Imaging Graph. Lili Bao, Ke Chen, Dexing Kong, Shihui Ying, Tieyong Zeng
2024	A*	`conf`	Triple Feature Disentanglement for One-Stage Adaptive Object Detection. AAAI Haoan Wang, Shilong Jia, Tieyong Zeng, Guixu Zhang, Zhi Li
2024	J	`jnl`	UFPS: A unified framework for partially annotated federated segmentation in heterogeneous data distribution. Patterns Le Jiang, Liyan Ma, Tieyong Zeng, Shihui Ying
2024	J	`jnl`	VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising. CoRR Yuxiang Hui, Yang Liu, Yaofang Liu, Fan Jia, Jinshan Pan, Raymond Chan, Tieyong Zeng
2024	J	`jnl`	WeaFU: Weather-Informed Image Blind Restoration via Multi-Weather Distribution Diffusion. IEEE Trans. Circuits Syst. Video Technol. Bodong Cheng, Juncheng Li, Jun Shi, Yingying Fang, Guixu Zhang, Yin Chen, Tieyong Zeng, Zhi Li
2023	J	`jnl`	A conservative hybrid physics-informed neural network method for Maxwell-Ampère-Nernst-Planck equations. CoRR Cheng Chang, Zhouping Xin, Tieyong Zeng
2023	J	`jnl`	A hybrid data-driven-physics-constrained Gaussian process regression framework with deep kernel for uncertainty quantification. J. Comput. Phys. Cheng Chang, Tieyong Zeng
2023	J	`jnl`	A reflectance re-weighted Retinex model for non-uniform and low-light image enhancement. Pattern Recognit. Fan Jia, Hok Shing Wong, Tiange Wang, Tieyong Zeng
2023	J	`jnl`	ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. CoRR Ao Chen, Jinghua Zhang, Md Mamunur Rahaman, Hongzan Sun, Tieyong Zeng, Marcin Grzegorzek, Feng-Lei Fan, Chen Li
2023	J	`jnl`	Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation. Signal Process. 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
2023	J	`jnl`	BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration. CoRR Jing-Xiao Liao, Sheng-Lai Wei, Chen-Long Xie, Tieyong Zeng, Jinwei Sun, Shiping Zhang, Xiaoge Zhang, Feng-Lei Fan
2023	J	`jnl`	CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. IEEE Trans. Image Process. Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi
2023	J	`jnl`	Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance. CoRR Yiming Cui, Lecheng Ruan, Hang-Cheng Dong, Qiang Li, Zhongming Wu, Tieyong Zeng, Feng-Lei Fan
2023	J	`jnl`	Color image restoration with mixed Gaussian-Cauchy noise and blur. Comput. Appl. Math. Xiao Ai, Guoxi Ni, Tieyong Zeng
2023	—	`conf`	Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment. MICCAI (7) Baihong Xie, Xiujian Liu, Heye Zhang, Chenchu Xu, Tieyong Zeng, Yixuan Yuan, Guang Yang, Zhifan Gao
2023	J	`jnl`	Cross-Parametric Generative Adversarial Network-Based Magnetic Resonance Image Feature Synthesis for Breast Lesion Classification. IEEE J. Biomed. Health Informatics Ming Fan, Guangyao Huang, Junhong Lou, Xin Gao, Tieyong Zeng, Lihua Li
2023	A*	`conf`	Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction. ICCV Pengcheng Lei, Faming Fang, Guixu Zhang, Tieyong Zeng
2023	J	`jnl`	Deep Generative Mixture Model for Robust Imbalance Classification. IEEE Trans. Pattern Anal. Mach. Intell. Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Jiaqi Wang, Huafeng Liu, Jian Yu, Tieyong Zeng
2023	J	`jnl`	Deep ReLU Networks Have Surprisingly Simple Polytopes. CoRR Feng-Lei Fan, Wei Huang, Xiangru Zhong, Lecheng Ruan, Tieyong Zeng, Huan Xiong, Fei Wang
2023	J	`jnl`	Dynamic Multimodal Information Bottleneck for Multimodality Classification. CoRR Yingying Fang, Shuang Wu, Sheng Zhang, Chaoyan Huang, Tieyong Zeng, Xiaodan Xing, Simon Walsh, Guang Yang
2023	J	`jnl`	EWT: Efficient Wavelet-Transformer for Single Image Denoising. CoRR Juncheng Li, Bodong Cheng, Ying Chen, Guangwei Gao, Tieyong Zeng
2023	J	`jnl`	Efficient SAV Algorithms for Curvature Minimization Problems. IEEE Trans. Circuits Syst. Video Technol. Chenxin Wang, Zhenwei Zhang, Zhichang Guo, Tieyong Zeng, Yuping Duan
2023	J	`jnl`	EvalCrafter: Benchmarking and Evaluating Large Video Generation Models. CoRR Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond H. Chan, Ying Shan
2023	J	`jnl`	Fast MRI Reconstruction via Edge Attention. CoRR Hanhui Yang, Juncheng Li, Lok Ming Lui, Shihui Ying, Jun Shi, Tieyong Zeng
2023	J	`jnl`	Frequency Learning via Multi-Scale Fourier Transformer for MRI Reconstruction. IEEE J. Biomed. Health Informatics Qiaosi Yi, Faming Fang, Guixu Zhang, Tieyong Zeng
2023	J	`jnl`	Gradient Prior Dilated Convolution Network for Remote Sensing Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ziyu Liu, Ruyi Feng, Lizhe Wang, Tieyong Zeng
2023	J	`jnl`	Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. CoRR Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang
2023	J	`jnl`	Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI. IEEE Trans. Medical Imaging Zhifan Gao, Yifeng Guo, Jiajing Zhang, Tieyong Zeng, Guang Yang
2023	J	`jnl`	Joint demosaicking and denoising benefits from a two-stage training strategy. J. Comput. Appl. Math. Yu Guo, Qiyu Jin, Jean-Michel Morel, Tieyong Zeng, Gabriele Facciolo
2023	J	`jnl`	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 Jian Guan, Ming Fan, Tieyong Zeng, Lihua Li
2023	J	`jnl`	Low-Light Image Enhancement via Implicit Priors Regularized Illumination Optimization. IEEE Trans. Computational Imaging Qianting Ma, Yang Wang, Tieyong Zeng
2023	J	`jnl`	MTU2-Net: Extracting Internal Solitary Waves from SAR Images. Remote. Sens. Barintag Saheya, Zhijie An, Qiyu Jin, Xu Chen, Maoguo Gong, Tieyong Zeng
2023	J	`jnl`	Multi-Prototypes Convex Merging Based K-Means Clustering Algorithm. CoRR Dong Li, Shuisheng Zhou, Tieyong Zeng, Raymond H. Chan
2023	—	`conf`	Not All Tasks Are Equal: A Parameter-Efficient Task Reweighting Method for Few-Shot Learning. ECML/PKDD (2) Xin Liu, Yilin Lyu, Liping Jing, Tieyong Zeng, Jian Yu
2023	J	`jnl`	One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks. CoRR Feng-Lei Fan, Hang-Cheng Dong, Zhongming Wu, Lecheng Ruan, Tieyong Zeng, Yiming Cui, Jing-Xiao Liao
2023	Misc	`conf`	PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution. ICASSP Hansheng Guo, Juncheng Li, Guangwei Gao, Zhi Li, Tieyong Zeng
2023	J	`jnl`	PFT-SSR: Parallax Fusion Transformer for Stereo Image Super-Resolution. CoRR Hansheng Guo, Juncheng Li, Guangwei Gao, Zhi Li, Tieyong Zeng
2023	J	`jnl`	Proximal linearized alternating direction method of multipliers algorithm for nonconvex image restoration with impulse noise. IET Image Process. Yuchao Tang, Shirong Deng, Jigen Peng, Tieyong Zeng
2023	J	`jnl`	Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees. CoRR Ziwen Wang, Yancheng Yuan, Jiaming Ma, Tieyong Zeng, Defeng Sun
2023	J	`jnl`	Rank-One Prior: Real-Time Scene Recovery. IEEE Trans. Pattern Anal. Mach. Intell. Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
2023	A*	`conf`	Recognizable Information Bottleneck. IJCAI Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing
2023	J	`jnl`	Recognizable Information Bottleneck. CoRR Yilin Lyu, Xin Liu, Mingyang Song, Xinyue Wang, Yaxin Peng, Tieyong Zeng, Liping Jing
2023	J	`jnl`	Rethink Depth Separation with Intra-layer Links. CoRR Feng-Lei Fan, Zeyu Li, Huan Xiong, Tieyong Zeng
2023	J	`jnl`	Retinex-Based Variational Framework for Low-Light Image Enhancement and Denoising. IEEE Trans. Multim. Qianting Ma, Yang Wang, Tieyong Zeng
2023	J	`jnl`	SRRNet: A Semantic Representation Refinement Network for Image Segmentation. IEEE Trans. Multim. Xiaofeng Ding, Tieyong Zeng, Jian Tang, Zhengping Che, Yaxin Peng
2023	J	`jnl`	Single image noise level estimation by artificial noise. Signal Process. Fang Li, Faming Fang, Zhi Li, Tieyong Zeng
2023	J	`jnl`	Single-particle reconstruction in cryo-EM based on three-dimensional weighted nuclear norm minimization. Pattern Recognit. Chaoyan Huang, Tingting Wu, Juncheng Li, Bin Dong, Tieyong Zeng
2023	J	`jnl`	Snow Mask Guided Adaptive Residual Network for Image Snow Removal. Comput. Vis. Image Underst. Bodong Cheng, Juncheng Li, Ying Chen, Tieyong Zeng
2023	J	`jnl`	Spherical Image Inpainting with Frame Transformation and Data-Driven Prior Deep Networks. SIAM J. Imaging Sci. Jianfei Li, Chaoyan Huang, Raymond H. Chan, Han Feng, Michael K. Ng, Tieyong Zeng
2023	J	`jnl`	Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks. CoRR Feng-Lei Fan, Yingxin Li, Hanchuan Peng, Tieyong Zeng, Fei Wang
2023	J	`jnl`	UFPS: A unified framework for partially-annotated federated segmentation in heterogeneous data distribution. CoRR Le Jiang, Liyan Ma, Tieyong Zeng, Shihui Ying
2023	A*	`conf`	Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior. CVPR Xiaole Tang, Xile Zhao, Jun Liu, Jianli Wang, Yuchun Miao, Tieyong Zeng
2023	J	`jnl`	VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation. CoRR Tingting Wu, Zhiyan Du, Zhi Li, Feng-Lei Fan, Tieyong Zeng
2023	—	`conf`	vMF Loss: Exploring a Scattered Intra-class Hypersphere for Few-Shot Learning. ECML/PKDD (2) Xin Liu, Shijing Wang, Kairui Zhou, Yilin Lyu, Mingyang Song, Liping Jing, Tieyong Zeng, Jian Yu
2022	C	`conf`	A Graph-Based Dual Convolutional Network for Automatic Road Extraction from High Resolution Remote Sensing Images. IGARSS Fumin Cui, Yichang Shi, Ruyi Feng, Lizhe Wang, Tieyong Zeng
2022	J	`jnl`	A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification. CoRR Cheng Chang, Tieyong Zeng
2022	—	`conf`	A robust non-blind deblurring method using deep denoiser prior. CVPR Workshops Yingying Fang, Hao Zhang, Hok Shing Wong, Tieyong Zeng
2022	J	`jnl`	A survey on epistemic (model) uncertainty in supervised learning: Recent advances and applications. Neurocomputing Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
2022	J	`jnl`	Adjustable super-resolution network via deep supervised learning and progressive self-distillation. Neurocomputing Juncheng Li, Faming Fang, Tieyong Zeng, Guixu Zhang, Xizhao Wang
2022	J	`jnl`	An O-Shape Neural Network With Attention Modules to Detect Junctions in Biomedical Images Without Segmentation. IEEE J. Biomed. Health Informatics Yuqiang Zhang, Min Liu, Fuhao Yu, Tieyong Zeng, Yaonan Wang
2022	J	`jnl`	CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. CoRR Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi
2022	J	`jnl`	Convex Augmentation for Total Variation Based Phase Retrieval. CoRR Jianwei Niu, Hok Shing Wong, Tieyong Zeng
2022	J	`jnl`	Deep Tensor CCA for Multi-View Learning. IEEE Trans. Big Data Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng
2022	J	`jnl`	Dual Learning-Based Graph Neural Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. Ziyu Liu, Ruyi Feng, Lizhe Wang, Wei Han, Tieyong Zeng
2022	J	`jnl`	Efficient Boosted DC Algorithm for Nonconvex Image Restoration with Rician Noise. SIAM J. Imaging Sci. Tingting Wu, Xiaoyu Gu, Zeyu Li, Zhi Li, Jianwei Niu, Tieyong Zeng
2022	J	`jnl`	Efficient Color Image Segmentation via Quaternion-based L J. Sci. Comput. Tingting Wu, Zhihui Mao, Zeyu Li, Yonghua Zeng, Tieyong Zeng
2022	—	`conf`	Exploring Latent Sparse Graph for Large-Scale Semi-supervised Learning. ECML/PKDD (4) Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng
2022	C	`conf`	Graph Laplacian Regularized Spectral-Spatial-Sparse Unmixing for Hyperspectral Imagery. IGARSS Zhi Li, Ruyi Feng, Yichang Shi, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng
2022	J	`jnl`	Learning multi-level structural information for small organ segmentation. Signal Process. Yueyun Liu, Yuping Duan, Tieyong Zeng
2022	A*	`conf`	Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer. IJCAI Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng
2022	J	`jnl`	Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer. CoRR Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu, Tieyong Zeng
2022	J	`jnl`	Local Spatial Constraint and Total Variation for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. Ruyi Feng, Hao Li, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng
2022	—	`conf`	Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation. CVPR Workshops Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang
2022	J	`jnl`	Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation. CoRR Juncheng Li, Hanhui Yang, Qiaosi Yi, Faming Fang, Guangwei Gao, Tieyong Zeng, Guixu Zhang
2022	—	`conf`	NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 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
2022	J	`jnl`	Phase retrieval from incomplete data via weighted nuclear norm minimization. Pattern Recognit. Zhi Li, Ming Yan, Tieyong Zeng, Guixu Zhang
2022	A*	`conf`	Pixel screening based intermediate correction for blind deblurring. CVPR Meina Zhang, Yingying Fang, Guoxi Ni, Tieyong Zeng
2022	J	`jnl`	Preconditioned Three-Operator Splitting Algorithm with Applications to Image Restoration. J. Sci. Comput. Yuchao Tang, Meng Wen, Tieyong Zeng
2022	J	`jnl`	Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds. Optim. Lett. Shuailing Feng, Wen Huang, Lele Song, Shihui Ying, Tieyong Zeng
2022	J	`jnl`	Quaternion Screened Poisson Equation for Low-Light Image Enhancement. IEEE Signal Process. Lett. Chaoyan Huang, Yingying Fang, Tingting Wu, Tieyong Zeng, Yonghua Zeng
2022	J	`jnl`	Quaternion-Based Dictionary Learning and Saturation-Value Total Variation Regularization for Color Image Restoration. IEEE Trans. Multim. Chaoyan Huang, Michael K. Ng, Tingting Wu, Tieyong Zeng
2022	J	`jnl`	Quaternion-based weighted nuclear norm minimization for color image restoration. Pattern Recognit. Chaoyan Huang, Zhi Li, Yubing Liu, Tingting Wu, Tieyong Zeng
2022	C	`conf`	Remote Sensing Image Super-Resolution via Dilated Convolution Network with Gradient Prior. IGARSS Ziyu Liu, Ruyi Feng, Lizhe Wang, Yanfei Zhong, Liangpei Zhang, Tieyong Zeng
2022	J	`jnl`	Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework. CoRR Tingting Wu, Wenna Wu, Ying Yang, Feng-Lei Fan, Tieyong Zeng
2022	J	`jnl`	Snow Mask Guided Adaptive Residual Network for Image Snow Removal. CoRR Bodong Cheng, Juncheng Li, Ying Chen, Shuyi Zhang, Tieyong Zeng
2022	J	`jnl`	Spherical Image Inpainting with Frame Transformation and Data-driven Prior Deep Networks. CoRR Jianfei Li, Chaoyan Huang, Raymond H. Chan, Han Feng, Micheal Ng, Tieyong Zeng
2022	—	`conf`	Transformer for Single Image Super-Resolution. CVPR Workshops Zhisheng Lu, Juncheng Li, Hong Liu, Chaoyan Huang, Linlin Zhang, Tieyong Zeng
2022	J	`jnl`	Uncertainty-Aware Unsupervised Image Deblurring with Deep Priors Guided by Domain Knowledge. CoRR Xiaole Tang, Xile Zhao, Jun Liu, Jian-Li Wang, Yuchun Miao, Tieyong Zeng
2021	J	`jnl`	A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications. CoRR Xinlei Zhou, Han Liu, Farhad Pourpanah, Tieyong Zeng, Xizhao Wang
2021	J	`jnl`	A deep neural network approach on solving the linear transport model under diffusive scaling. CoRR Liu Liu, Tieyong Zeng, Zecheng Zhang
2021	J	`jnl`	Adaptive total variation based image segmentation with semi-proximal alternating minimization. Signal Process. Tingting Wu, Xiaoyu Gu, Youguo Wang, Tieyong Zeng
2021	J	`jnl`	Automatic Repair of 3-D Neuron Reconstruction Based on Topological Feature Points and an MOST-Based Repairer. IEEE Trans. Instrum. Meas. Fuhao Yu, Min Liu, Weixun Chen, He Wen, Yaonan Wang, Tieyong Zeng
2021	J	`jnl`	Crossover Structure Separation With Application to Neuron Tracing in Volumetric Images. IEEE Trans. Instrum. Meas. Changhao Guo, Min Liu, Tongkun Guan, Weixun Chen, He Wen, Tieyong Zeng, Yaonan Wang
2021	—	`conf`	DDUNet: Dense Dense U-Net with Applications in Image Denoising. ICCVW Fan Jia, Wing Hong Wong, Tieyong Zeng
2021	J	`jnl`	Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs. CoRR Cheng Chang, Liu Liu, Tieyong Zeng
2021	J	`jnl`	From Beginner to Master: A Survey for Deep Learning-based Single-Image Super-Resolution. CoRR Juncheng Li, Zehua Pei, Tieyong Zeng
2021	J	`jnl`	Image restoration based on fractional-order model with decomposition: texture and cartoon. Comput. Appl. Math. Shaowen Yan, Guoxi Ni, Tieyong Zeng
2021	J	`jnl`	Inhomogeneous image segmentation based on local constant and global smoothness priors. Digit. Signal Process. Lihua Min, Qiang Cui, Zhengmeng Jin, Tieyong Zeng
2021	J	`jnl`	Local distribution-based adaptive minority oversampling for imbalanced data classification. Neurocomputing Xinyue Wang, Jian Xu, Tieyong Zeng, Liping Jing
2021	J	`jnl`	Multilevel Edge Features Guided Network for Image Denoising. IEEE Trans. Neural Networks Learn. Syst. Faming Fang, Juncheng Li, Yiting Yuan, Tieyong Zeng, Guixu Zhang
2021	J	`jnl`	Overlapping Domain Decomposition Methods for Ptychographic Imaging. SIAM J. Sci. Comput. Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng
2021	J	`jnl`	Pixel-Attention CNN With Color Correlation Loss for Color Image Denoising. IEEE Signal Process. Lett. Fan Jia, Liyan Ma, Yijin Yang, Tieyong Zeng
2021	J	`jnl`	Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning. IEEE Trans. Neural Networks Learn. Syst. Li Wang, Raymond H. Chan, Tieyong Zeng
2021	A*	`conf`	Rank-One Prior: Toward Real-Time Scene Recovery. CVPR Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
2021	J	`jnl`	Rank-One Prior: Toward Real-Time Scene Recovery. CoRR Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng
2021	—	`conf`	SCARF: A Semantic Constrained Attention Refinement Network for Semantic Segmentation. ICCVW Xiaofeng Ding, Chaomin Shen, Zhengping Che, Tieyong Zeng, Yaxin Peng
2021	J	`jnl`	Smooth Soft-Balance Discriminative Analysis for imbalanced data. Knowl. Based Syst. Xinyue Wang, Liping Jing, Yilin Lyu, Mingzhe Guo, Tieyong Zeng
2021	A*	`conf`	Structure-Preserving Deraining with Residue Channel Prior Guidance. ICCV Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng
2021	J	`jnl`	Structure-Preserving Deraining with Residue Channel Prior Guidance. CoRR Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng
2021	J	`jnl`	Surface-Aware Blind Image Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. Jun Liu, Ming Yan, Tieyong Zeng
2021	J	`jnl`	Two-stage image segmentation based on nonconvex ℓ2-ℓp approximation and thresholding. Appl. Math. Comput. Tingting Wu, Jinbo Shao, Xiaoyu Gu, Michael K. Ng, Tieyong Zeng
2020	J	`jnl`	A Convex Variational Approach for Image Deblurring With Multiplicative Structured Noise. IEEE Access Tingting Wu, Wei Li, Lihua Li, Tieyong Zeng
2020	J	`jnl`	A Superpixel-Based Variational Model for Image Colorization. IEEE Trans. Vis. Comput. Graph. Faming Fang, Tingting Wang, Tieyong Zeng, Guixu Zhang
2020	J	`jnl`	A Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information. SIAM J. Imaging Sci. Xu Li, Xiaoping Yang, Tieyong Zeng
2020	J	`jnl`	A weighted bounded Hessian variational model for image labeling and segmentation. Signal Process. Yijie Yang, Qiuxiang Zhong, Yuping Duan, Tieyong Zeng
2020	J	`jnl`	CAB U-Net: An end-to-end category attention boosting algorithm for segmentation. Comput. Medical Imaging Graph. Xiaofeng Ding, Yaxin Peng, Chaomin Shen, Tieyong Zeng
2020	J	`jnl`	Constrained Total Variation Based Three-Dimension Single Particle Reconstruction in Cryogenic Electron Microscopy. J. Sci. Comput. Huan Pan, You-Wei Wen, Tieyong Zeng
2020	J	`jnl`	Deep Multi-Level Wavelet-CNN Denoiser Prior for Restoring Blurred Image With Cauchy Noise. IEEE Signal Process. Lett. Tingting Wu, Wei Li, Shilong Jia, Yiqiu Dong, Tieyong Zeng
2020	J	`jnl`	Deep Tensor CCA for Multi-view Learning. CoRR Hok Shing Wong, Li Wang, Raymond H. Chan, Tieyong Zeng
2020	J	`jnl`	Edge Adaptive Hybrid Regularization Model For Image Deblurring. CoRR Jie Chen, Tingting Zhang, Tieyong Zeng, Qiyu Jin
2020	J	`jnl`	Image denoising based on the adaptive weighted Signal Process. Zhi-Feng Pang, Hui-Li Zhang, Shousheng Luo, Tieyong Zeng
2020	J	`jnl`	Learning deep edge prior for image denoising. Comput. Vis. Image Underst. Yingying Fang, Tieyong Zeng
2020	J	`jnl`	Overlapping Domain Decomposition Methods for Ptychographic Imaging. CoRR Huibin Chang, Roland Glowinski, Stefano Marchesini, Xue-Cheng Tai, Yang Wang, Tieyong Zeng
2020	J	`jnl`	Residual Learning for Effective joint Demosaicing-Denoising. CoRR Yu Guo, Qiyu Jin, Gabriele Facciolo, Tieyong Zeng, Jean-Michel Morel
2020	J	`jnl`	Residual network with detail perception loss for single image super-resolution. Comput. Vis. Image Underst. Zhijie Wen, Jiawei Guan, Tieyong Zeng, Ying Li
2020	J	`jnl`	Soft-Edge Assisted Network for Single Image Super-Resolution. IEEE Trans. Image Process. Faming Fang, Juncheng Li, Tieyong Zeng
2020	J	`jnl`	Variational Single Image Dehazing for Enhanced Visualization. IEEE Trans. Multim. Faming Fang, Tingting Wang, Yang Wang, Tieyong Zeng, Guixu Zhang
2019	J	`jnl`	A Nonconvex Model with Minimax Concave Penalty for Image Restoration. J. Sci. Comput. Juntao You, Yuling Jiao, Xiliang Lu, Tieyong Zeng
2019	J	`jnl`	A Two-stage Classification Method for High-dimensional Data and Point Clouds. CoRR Xiaohao Cai, Raymond H. Chan, Xiaoyu Xie, Tieyong Zeng
2019	B	`conf`	Image Smoothing Via Gradient Sparsity and Surface Area Minimization. ICIP Jun Liu, Ming Yan, Jinshan Zeng, Tieyong Zeng
2019	J	`jnl`	Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points. CoRR Zitong Wang, Li Wang, Raymond H. Chan, Tieyong Zeng
2019	J	`jnl`	Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. SIAM J. Sci. Comput. Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng
2019	J	`jnl`	Phase Retrieval for Binary Signals: Box Relaxation and Uniqueness. CoRR Wing Hong Wong, Yifei Lou, Tieyong Zeng
2019	J	`jnl`	Variational Image Restoration and Segmentation with Rician Noise. J. Sci. Comput. Liyuan Chen, Yutian Li, Tieyong Zeng
2018	J	`jnl`	Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. CoRR Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng
2018	J	`jnl`	Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm. SIAM J. Imaging Sci. Huibin Chang, Stefano Marchesini, Yifei Lou, Tieyong Zeng
2018	J	`jnl`	Weighted variational model for selective image segmentation with application to medical images. Pattern Recognit. Chunxiao Liu, Michael Kwok-Po Ng, Tieyong Zeng
2017	J	`jnl`	A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). J. Sci. Comput. Xiaohao Cai, Raymond H. Chan, Mila Nikolova, Tieyong Zeng
2017	J	`jnl`	Low Rank Prior and Total Variation Regularization for Image Deblurring. J. Sci. Comput. Liyan Ma, Li Xu, Tieyong Zeng
2017	J	`jnl`	Regularized Non-local Total Variation and Application in Image Restoration. J. Math. Imaging Vis. Zhi Li, François Malgouyres, Tieyong Zeng
2016	J	`jnl`	A New Algorithm Framework for Image Inpainting in Transform Domain. SIAM J. Imaging Sci. Fang Li, Tieyong Zeng
2016	J	`jnl`	Image Deblurring Via Total Variation Based Structured Sparse Model Selection. J. Sci. Comput. Liyan Ma, Tieyong Zeng
2016	J	`jnl`	Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization. SIAM J. Sci. Comput. Huibin Chang, Yifei Lou, Michael K. Ng, Tieyong Zeng
2016	J	`jnl`	Variational Multiplicative Noise Removal by DC Programming. J. Sci. Comput. Zhi Li, Yifei Lou, Tieyong Zeng
2015	J	`jnl`	A Convex Variational Model for Restoring Blurred Images with Large Rician Noise. J. Math. Imaging Vis. Liyuan Chen, Tieyong Zeng
2015	J	`jnl`	A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). CoRR Xiaohao Cai, Raymond H. Chan, Mila Nikolova, Tieyong Zeng
2015	J	`jnl`	A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing. SIAM J. Imaging Sci. Yifei Lou, Tieyong Zeng, Stanley J. Osher, Jack Xin
2015	—	`conf`	Total Variation Restoration of Images Corrupted by Poisson Noise with Iterated Conditional Expectations. SSVM Rémy Abergel, Cécile Louchet, Lionel Moisan, Tieyong Zeng
2015	J	`jnl`	Variational Approach for Restoring Blurred Images with Cauchy Noise. SIAM J. Imaging Sci. Federica Sciacchitano, Yiqiu Dong, Tieyong Zeng
2014	B	`conf`	A Two-Stage Image Segmentation Method Using Euler's Elastica Regularized Mumford-Shah Model. ICPR Yuping Duan, Weimin Huang, Jiayin Zhou, Huibin Chang, Tieyong Zeng
2014	J	`jnl`	A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise. SIAM J. Imaging Sci. Raymond H. Chan, Hongfei Yang, Tieyong Zeng
2014	J	`jnl`	A Universal Variational Framework for Sparsity-Based Image Inpainting. IEEE Trans. Image Process. Fang Li, Tieyong Zeng
2014	—	`conf`	Color Image Segmentation by Minimal Surface Smoothing. EMMCVPR Zhi Li, Tieyong Zeng
2014	J	`jnl`	Reducing Artifacts in JPEG Decompression Via a Learned Dictionary. IEEE Trans. Signal Process. Huibin Chang, Michael K. Ng, Tieyong Zeng
2014	J	`jnl`	Single Image Dehazing and Denoising: A Fast Variational Approach. SIAM J. Imaging Sci. Faming Fang, Fang Li, Tieyong Zeng
2013	J	`jnl`	A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise. SIAM J. Imaging Sci. Yiqiu Dong, Tieyong Zeng
2013	J	`jnl`	A Dictionary Learning Approach for Poisson Image Deblurring. IEEE Trans. Medical Imaging Liyan Ma, Lionel Moisan, Jian Yu, Tieyong Zeng
2013	J	`jnl`	A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding. SIAM J. Imaging Sci. Xiaohao Cai, Raymond H. Chan, Tieyong Zeng
2013	J	`jnl`	Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. Liping Jing, Michael K. Ng, Tieyong Zeng
2013	J	`jnl`	General Framework to Histogram-Shifting-Based Reversible Data Hiding. IEEE Trans. Image Process. Xiaolong Li, Bin Li, Bin Yang, Tieyong Zeng
2013	J	`jnl`	Image Restoration via Tight Frame Regularization and Local Constraints. J. Sci. Comput. Fang Li, Tieyong Zeng
2013	J	`jnl`	Sparse Representation Prior and Total Variation-Based Image Deblurring under Impulse Noise. SIAM J. Imaging Sci. Liyan Ma, Jian Yu, Tieyong Zeng
2013	J	`jnl`	Total Variation Structured Total Least Squares Method for Image Restoration. SIAM J. Sci. Comput. Xi-Le Zhao, Wei Wang, Tieyong Zeng, Ting-Zhu Huang, Michael K. Ng
2013	J	`jnl`	Two-Step Approach for the Restoration of Images Corrupted by Multiplicative Noise. SIAM J. Sci. Comput. Yu-Mei Huang, De-Yong Lu, Tieyong Zeng
2012	J	`jnl`	Explicit Coherence Enhancing Filter With Spatial Adaptive Elliptical Kernel. IEEE Signal Process. Lett. Fang Li, Ling Pi, Tieyong Zeng
2012	J	`jnl`	Lagrangian multipliers and split Bregman methods for minimization problems constrained on S J. Vis. Commun. Image Represent. Fang Li, Tieyong Zeng, Guixu Zhang
2012	J	`jnl`	Multiplicative Noise Removal via a Learned Dictionary. IEEE Trans. Image Process. Yu-Mei Huang, Lionel Moisan, Michael K. Ng, Tieyong Zeng
2012	—	`conf`	Semi-supervised Clustering via Constrained Symmetric Non-negative Matrix Factorization. Brain Informatics Liping Jing, Jian Yu, Tieyong Zeng, Yan Zhu
2011	J	`jnl`	Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection. IEEE Trans. Image Process. Xiaolong Li, Bin Yang, Tieyong Zeng
2011	J	`jnl`	Matching pursuit shrinkage in Hilbert spaces. Signal Process. Tieyong Zeng, François Malgouyres
2011	J	`jnl`	On gene Selection and Classification for Cancer microarray Data Using Multi-Step Clustering and Sparse Representation. Adv. Data Sci. Adapt. Anal. Liping Jing, Michael K. Ng, Tieyong Zeng
2011	J	`jnl`	Restoration of images corrupted by mixed Gaussian-impulse noise via l Pattern Recognit. Yu Xiao, Tieyong Zeng, Jian Yu, Michael K. Ng
2010	J	`jnl`	A Multiphase Image Segmentation Method Based on Fuzzy Region Competition. SIAM J. Imaging Sci. Fang Li, Michael K. Ng, Tieyong Zeng, Chunli Shen
2010	J	`jnl`	On the Total Variation Dictionary Model. IEEE Trans. Image Process. Tieyong Zeng, Michael K. Ng
2010	B	`conf`	Poisson noise removal via learned dictionary. ICIP Yu Xiao, Tieyong Zeng
2010	B	`conf`	Reliable histogram features for detecting LSB matching. ICIP Kaiwei Cai, Xiaolong Li, Tieyong Zeng, Bin Yang, Xiaoqing Lu
2009	J	`jnl`	A Generalization of LSB Matching. IEEE Signal Process. Lett. Xiaolong Li, Bin Yang, Daofang Cheng, Tieyong Zeng
2009	J	`jnl`	A Predual Proximal Point Algorithm Solving a Non Negative Basis Pursuit Denoising Model. Int. J. Comput. Vis. François Malgouyres, Tieyong Zeng
2009	B	`conf`	Improving embedding efficiency via matrix embedding: A case study. ICIP Yunkai Gao, Xiaolong Li, Tieyong Zeng, Bin Yang
2008	B	`conf`	A further study on steganalysis of LSB matching by calibration. ICIP Xiaolong Li, Tieyong Zeng, Bin Yang
2008	—	`conf`	Detecting LSB matching by applying calibration technique for difference image. MM&Sec Xiaolong Li, Tieyong Zeng, Bin Yang
2008	A	`conf`	Improvement of the embedding efficiency of LSB matching by sum and difference covering set. ICME Xiaolong Li, Tieyong Zeng, Bin Yang
2008	B	`conf`	Incorporating known features into a total variation dictionary model for source separation. ICIP Tieyong Zeng
2006	—	`conf`	Using Gabor Dictionaries in A TV - L ICASSP (2) Tieyong Zeng, François Malgouyres