Clustering in Knowledge Embedded Space. - Yungang Zhang; Changshui Zhang; Shijun Wang (ECML, 2003)

Distance metric learning by knowledge embedding. - Yungang Zhang; Changshui Zhang; David Zhang 001 (Pattern Recognit., 2004)

Erratum to "Distance metric learning by knowledge embedding" [Pattern Recognition 37(1)161-163(2004)]. - Yungang Zhang; Changshui Zhang; David Zhang 001 (Pattern Recognit., 2004)

Separation of Voice and Music by Harmonic Structure Stability Analysis. - Yungang Zhang; Changshui Zhang (ICME, 2005)

Separation of Music Signals by Harmonic Structure Modeling. - Yungang Zhang; Changshui Zhang (NIPS, 2005)

Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling. - Zhiyao Duan; Yungang Zhang; Changshui Zhang; Zhenwei Shi (IEEE Trans. Speech Audio Process., 2008)

Highly reliable breast cancer diagnosis with cascaded ensemble classifiers. - Yungang Zhang; Bailing Zhang; Frans Coenen; Wenjin Lu (IJCNN, 2012)

Image Retrieval Based on GA Integrated Color Vector Quantization and Curvelet Transform. - Yungang Zhang; Tianwei Xu; Wei Gao (ICSI (1), 2012)

Hybrid model of self-organizing map and kernel auto-associator for internet intrusion detection. - Bailing Zhang; Yungang Zhang; Wenjin Lu (Int. J. Intell. Comput. Cybern., 2012)

Strong and weak stability of bipartite ranking algorithms. - Wei Gao 012; Yungang Zhang; Yun Gao; Li Liang; Youming Xia (ICDIP, 2013)

Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles. - Yungang Zhang; Bailing Zhang; Frans Coenen; Wenjin Lu (Mach. Vis. Appl., 2013)

A Real-Time Error Resilient Video Streaming Scheme Exploiting the Late- and Early-Arrival Packets. - Jimin Xiao; Tammam Tillo; Chunyu Lin; Yungang Zhang; Yao Zhao 001 (IEEE Trans. Broadcast., 2013)

One-class kernel subspace ensemble for medical image classification. - Yungang Zhang; Bailing Zhang; Frans Coenen; Jimin Xiao; Wenjin Lu (EURASIP J. Adv. Signal Process., 2014)

Cascade of classifier ensembles for reliable medical image classification. - Yungang Zhang (2014)

Non-Negative Kernel Sparse Coding for Image Classification. - Yungang Zhang; Tianwei Xu; Jieming Ma (IScIDE (1), 2015)

Erratum to: One-class kernel subspace ensemble for medical image classification. - Yungang Zhang; Bailing Zhang; Frans Coenen; Jimin Xiao; Wenjin Lu (EURASIP J. Adv. Signal Process., 2015)

Boosted non-linear and non-negative sparse learning for single image super-resolution. - Yungang Zhang; Tianwei Xu (ICNC-FSKD, 2017)

Image categorization using non-negative kernel sparse representation. - Yungang Zhang; Tianwei Xu; Jieming Ma (Neurocomputing, 2017)

Single Image Super-Resolution by Non-Linear Sparse Representation and Support Vector Regression. - Yungang Zhang; Jieming Ma (Symmetry, 2017)

Recent Advances in Deep Learning for Single Image Super-Resolution. - Yungang Zhang; Yu Xiang (BICS, 2018)

The Information Cascade and Self-Perception Bias in Comprehensive Performance Incentive Model. - Yu Xiang; Yungang Zhang; Lei Bai 003; Li Ma (Geoinformatics, 2018)

Generative Adversarial Network for Deblurring of Remote Sensing Image. - Yungang Zhang; Yu Xiang; Lei Bai 003 (Geoinformatics, 2018)

Landmark-Guided Local Deep Neural Networks for Age and Gender Classification. - Yungang Zhang; Tianwei Xu (J. Sensors, 2018)

A Brief Review of Recent Progress in Fashion Landmark Detection. - Yungang Zhang; Cai Zhang; Fei Du (CISP-BMEI, 2019)

Low-dose CT Image Denoising Using Classification Densely Connected Residual Network. - Jun Ming; Benshun Yi; Yungang Zhang; Huixin Li (KSII Trans. Internet Inf. Syst., 2020)

Combining Adversarial Training and Relational Graph Attention Network for Aspect-Based Sentiment Analysis with BERT. - Mingfei Chen; Wencong Wu; Yungang Zhang; Ziyun Zhou (CISP-BMEI, 2021)

Progressive structure network-based multiscale feature fusion for object detection in real-time application. - Haifeng Wang; Lvjiyuan Jiang; Qian Zhao; Hao Li 093; Kai Yan 002; Yang Yang 032; Songlin Li; Yungang Zhang; Lianliu Qiao; Cuilian Fu; Hong Yin; Yun Hu; et al. (Eng. Appl. Artif. Intell., 2021)

Robust Local Structure Visualization for Remote Sensing Image Registration. - Jiaxuan Chen 002; Shuang Chen 008; Yuyan Liu; Xiaoxian Chen; Yang Yang 032; Yungang Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

DTTrack: Target Tracking Algorithm Combining DaSiamRPN Tracker and Transformer Tracker. - Yingying Duan; Wencong Wu; Liwei Liu; Siyuan Liu; Peng Liang 020; Yungang Zhang (ACAI, 2022)

Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model. - Fengze Li; Jieming Ma; Zhongbei Tian; Ji Ge; Hai-Ning Liang; Yungang Zhang; Tianxi Wen (ICFSP, 2022)

Mirror-Yolo: An attention-based instance segmentation and detection model for mirrors. - Fengze Li; Jieming Ma; Zhongbei Tian; Ji Ge; Hai-Ning Liang; Yungang Zhang; Tianxi Wen (CoRR, 2022)

Quantitative Detection of Multicomponent SF6 Decomposition Products Based on Fourier Transform Infrared Spectroscopy Combined With CARS-ELM Algorithm. - Jie Gao; Yungang Zhang; Xinhui Li; Guangwen Shi; Yucun Zhang (IEEE Trans. Instrum. Meas., 2022)

DCANet: Dual Convolutional Neural Network with Attention for Image Blind Denoising. - Wencong Wu; Guannan Lv; Yingying Duan; Peng Liang 020; Yungang Zhang; Yuelong Xia (CoRR, 2023)

Dual Residual Attention Network for Image Denoising. - Wencong Wu; Shijie Liu; Yi Zhou; Yungang Zhang; Yu Xiang (CoRR, 2023)

A Method for Measuring the Inclination of Forgings Based on an Improved Optimization Algorithm for Fitting Ellipses. - Zheng Lu; Bin Liu; Kaiyue Zhang; Hongbin Lin; Yungang Zhang (IEEE Trans. Instrum. Meas., 2023)

Recent progress in image denoising: A training strategy perspective. - Wencong Wu; Mingfei Chen; Yu Xiang; Yungang Zhang; Yang Yang 032 (IET Image Process., 2023)

FEUNet: a flexible and effective U-shaped network for image denoising. - Wencong Wu; Guannan Lv; Shicheng Liao; Yungang Zhang (Signal Image Video Process., 2023)

An Effective Lightweight Model Based on YOLOV8 for Printed Circuit Board Component Detection. - Heng Dai; Yungang Zhang (ICVISP, 2024)

Efficient and Fast Self-Supervised Image Denoising Based on Cyclic Multi-Variate Function. - Xu Liu; Yungang Zhang (ICVISP, 2024)

PSC-FPN: Pixel Shuffling Algorithm for Channel Conversion in Feature Pyramid Network. - Quan Zeng; Yungang Zhang (ICVISP, 2024)

Two-stage Progressive Residual Dense Attention Network for Image Denoising. - Wencong Wu; An Ge; Guannan Lv; Yuelong Xia; Yungang Zhang; Wen Xiong (CoRR, 2024)

Dual residual attention network for image denoising. - Wencong Wu; Shijie Liu; Yuelong Xia; Yungang Zhang (Pattern Recognit., 2024)

Dual convolutional neural network with attention for image blind denoising. - Wencong Wu; Guannan Lv; Yingying Duan; Peng Liang 020; Yungang Zhang; Yuelong Xia (Multim. Syst., 2024)

DS-SRD: a unified framework for structured representation distillation. - Yuelong Xia; Jing Yang; Xiaodi Sun; Yungang Zhang (Multim. Syst., 2024)

Image blind denoising using dual convolutional neural network with skip connection. - Wencong Wu; Shicheng Liao; Guannan Lv; Peng Liang 020; Yungang Zhang (Signal Process. Image Commun., 2025)

Enhancing game customer churn prediction with a stacked ensemble learning model. - Rui Guo; Wen Xiong; Yungang Zhang; Yanfang Hu (J. Supercomput., 2025)

An Iterative Localization Method for Feedback-Based Advanced Feature Pattern Recognition. - Jiaqi Wang; Kai Tong; Meng Zhou; Huipeng Cao; Ronghua Wang; Xueli Gao; Yungang Zhang (IEEE Internet Things J., 2025)