A New Approach to Symbolic Classification Rule Extraction Based on SVM. - Dexian Zhang; Tiejun Yang; Ziqiang Wang; Yanfeng Fan (PRICAI, 2006)

A General Method for Detecting All-Zero Blocks Prior to DCT and Quantization. - Zhengguang Xie; Yong Liu; James Liu; Tiejun Yang (IEEE Trans. Circuits Syst. Video Technol., 2007)

Vehicle license plate recognition based on wavelet transform modulus maxima and BP neural network. - Lin Huang; Tiejun Yang (ICNC, 2012)

A Forecasting Model for Feed Grain Demand Based on Combined Dynamic Model. - Tiejun Yang; Na Yang; Chunhua Zhu (Comput. Intell. Neurosci., 2016)

Vegetation segmentation based on variational level set using multi-channel local wavelet texture and color. - Tiejun Yang; Yaowen Chen; Zhun Fan (Signal Image Video Process., 2018)

Sparse Angle CT Reconstruction Algorithm Based on Adaptive Non-Local Mean Constraint. - Tiejun Yang; Lu Tang; Hongliu Yu; Chunhua Zhu; Lei Li (VSIP, 2019)

Graph-Based Clustering via Group Sparsity and Manifold Regularization. - Jianyu Miao; Tiejun Yang; Junwei Jin 001; Lingfeng Niu (IEEE Access, 2019)

Skin lesion segmentation using object scale-oriented fully convolutional neural networks. - Lin Huang; Yi-gong Zhao; Tiejun Yang (Signal Image Video Process., 2019)

Sampling with level set for pigmented skin lesion segmentation. - Tiejun Yang; Yaowen Chen; Jiewei Lu; Zhun Fan (Signal Image Video Process., 2019)

SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation. - Tiejun Yang; Tingting Wu; Lei Li; Chunhua Zhu (J. Digit. Imaging, 2020)

Surface defect detection of voltage-dependent resistors using convolutional neural networks. - Tiejun Yang; Shan Peng; Lin Huang (Multim. Tools Appl., 2020)

Overview of Deep Learning Based Cardiac MR Image Segmentation Methods. - Bingjie Li; Jianyu Miao; Tiejun Yang (WI/IAT (Workshop/Special Session), 2021)

A meshless method in reproducing kernel space for solving variable-order time fractional advection-diffusion equations on arbitrary domain. - Hong Du; Zhong Chen; Tiejun Yang (Appl. Math. Lett., 2021)

Discriminative group-sparsity constrained broad learning system for visual recognition. - Junwei Jin 001; Yanting Li; Tiejun Yang; Liang Zhao; Junwei Duan; C. L. Philip Chen (Inf. Sci., 2021)

Classification of industrial surface defects based on neural architecture search. - Tiejun Yang; Tianshu Zhang; Lin Huang (Multim. Tools Appl., 2021)

Deep Learning-Based Automatic Monitoring Method for Grain Quantity Change in Warehouse Using Semantic Segmentation. - Lei Li; Zhuoli Dong; Tiejun Yang; Heling Cao (IEEE Trans. Instrum. Meas., 2021)

Detection of defects in voltage-dependent resistors using stacked-block-based convolutional neural networks. - Tiejun Yang; Tianshu Zhang; Lin Huang (Vis. Comput., 2021)

Design of an Active Data Watermark Detection System. - Lan Zhang; Xiangyang Zhang; Tiejun Yang (ICBDS, 2022)

GraformerDIR: Graph convolution transformer for deformable image registration. - Tiejun Yang; Xinhao Bai; Xiaojuan Cui; Yuehong Gong; Lei Li (Comput. Biol. Medicine, 2022)

Towards Compact Broad Learning System by Combined Sparse Regularization. - Jianyu Miao; Tiejun Yang; Jun-Wei Jin 001; Lijun Sun; Lingfeng Niu; Yong Shi 001 (Int. J. Inf. Technol. Decis. Mak., 2022)

Self-paced non-convex regularized analysis-synthesis dictionary learning for unsupervised feature selection. - Jianyu Miao; Tiejun Yang; Chao Fan; Zhensong Chen 001; Xuan Fei; Xuchan Ju; Ke Wang 064; Mingliang Xu 001 (Knowl. Based Syst., 2022)

Piezoresistor defect classification using convolutional neural networks based on incremental branch growth. - Lin Huang; Yi-gong Zhao; Tiejun Yang (Multim. Tools Appl., 2022)

Graph regularized locally linear embedding for unsupervised feature selection. - Jianyu Miao; Tiejun Yang; Lijun Sun; Xuan Fei; Lingfeng Niu; Yong Shi 001 (Pattern Recognit., 2022)

Vehicle counting method based on attention mechanism SSD and state detection. - Tiejun Yang; Ruiqiang Liang; Lin Huang (Vis. Comput., 2022)

Relaxed least square regression with ℓ2,1-norm for pattern classification. - Junwei Jin 001; Zhenhao Qin; Dengxiu Yu; Tiejun Yang; C. L. Philip Chen; Yanting Li (Int. J. Wavelets Multiresolution Inf. Process., 2023)

DAU-Net: An unsupervised 3D brain MRI registration model with dual-attention mechanism. - Tiejun Yang; Xinhao Bai; Xiaojuan Cui; Yuehong Gong; Lei Li (Int. J. Imaging Syst. Technol., 2023)

SwinGAN: A dual-domain Swin Transformer-based generative adversarial network for MRI reconstruction. - Xiang Zhao; Tiejun Yang; Bingjie Li; Xin Zhang (Comput. Biol. Medicine, 2023)

Multi-directional broad learning system for the unsupervised stereo matching method. - Zihao Zhang; Niu Ying; Fanman Meng; Tiejun Yang; Chao Fan; Xiaozhen Ren; Ruiqi Wu; Cao Kun; Haocheng Wang (Pattern Recognit., 2023)

DC-SiamNet: Deep contrastive Siamese network for self-supervised MRI reconstruction. - Yanghui Yan; Tiejun Yang; Xiang Zhao; Chunxia Jiao; Aolin Yang; Jianyu Miao (Comput. Biol. Medicine, 2023)

A traffic flow prediction method based on constrained dynamic graph convolutional recurrent networks. - Hongxiang Xiao; Zihan Zhao; Tiejun Yang (Eng. Appl. Artif. Intell., 2024)

Explicit unsupervised feature selection based on structured graph and locally linear embedding. - Jianyu Miao; Jingjing Zhao; Tiejun Yang; Chao Fan; Yingjie Tian 001; Yong Shi 001; Mingliang Xu (Expert Syst. Appl., 2024)

Skin lesion image segmentation by using backchannel filling CNN and level sets. - Lin Huang; Yi-gong Zhao; Tiejun Yang (Biomed. Signal Process. Control., 2024)

Object detection for blind inspection of industrial products based on neural architecture search. - Lin Huang; Weiming Deng; Chunchun Li; Tiejun Yang (J. Intell. Manuf., 2024)

Thyroid Nodule Ultrasound Image Segmentation Based on Improved Swin Transformer. - Yue Wu; Lin Huang; Tiejun Yang (IEEE Access, 2025)

Robust sparse orthogonal basis clustering for unsupervised feature selection. - Jianyu Miao; Jingjing Zhao; Tiejun Yang; Yingjie Tian 001; Yong Shi 001; Mingliang Xu (Expert Syst. Appl., 2025)

Broad feature extraction and multi-directional imbalanced weighted broad learning system for the unsupervised stereo matching method. - Zihao Zhang; Fan Zhang; Fanman Meng; Tiejun Yang; Chao Fan; Huifang Hou; Ruiqi Wu; Quan Pan 001 (Expert Syst. Appl., 2025)

A Comprehensive Survey on Subspace Clustering: Methods and Applications. - Jianyu Miao; Xiaochan Zhang; Tiejun Yang; Chao Fan; Yingjie Tian 001; Yong Shi 001; Mingliang Xu (Artif. Intell. Rev., 2025)