SELECTED PUBLICATIONS

• Learning Dynamic-Sensitivity Enhanced Correlation Filter With Adaptive Second-Order Difference Spatial Regularization for UAV Tracking
  Y.F. Yu, Z. Chen, Y. Zhang, C. Zhang and W. Ding
  IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2025.3533953, 2025.
• Particle swarm optimization algorithm based on teaming behavior
  Yu-Feng Yu, Ziwei Wang, Xinjia Chen, Qiying Feng
  Knowl. Based Syst. 318: 113555(2025).
• Multi-scale enhanced features Correlation filters learning with dual second-order difference for UAV tracking
  Y.F. Yu, Y. Zhang, L. Chen, P. Ge, C.L.P. Chen
  IEEE Transactions on Intelligent Vehicles, vol.9, no.2, pp.3232-3245, 2024.
• Selective multiple kernel fuzzy clustering with locality preserved ensemble
  Chuanbin Zhang, Long Chen, Yu-Feng Yu, Yin-Ping Zhao, Zhaoyin Shi, Yingxu Wang, Weihua Bai
  Knowl. Based Syst. 301:112327(2024).
• Robust correlation filter learning with continuously weighted dynamic response for UAV visual tracking
  Y. Zhang, Y. F. Yu*, L. Chen and W. Ding
  IEEE Transactions on Geoscience and Remote Sensing, vol.61, pp.1-14, 2023.
• Channel attentional correlation filters learning with second-order difference for UAV tracking
  Y. Zhang, Y.F. Yu*, K. Huang and Y. Wang
  IEEE Geoscience and Remote Sensing Letters, vol.20, pp.1-5, 2023.
• Discriminative fuzzy K-means clustering with local structure preservation for high-dimensional data
  Y.F. Yu, X. Wu, P. Wei, G. Xu, J. Hu
  Knowledge-Based Systems, 304:112537, 2024.
• FS-GAN: Fuzzy self-guided structure retention generative adversarial network for medical image enhancement
  Y.F. Yu, G. Zhong, Y. Zhou, L. Chen
  Information Sciences, 642:119114, 2023.
• Cooperative linear regression model for image set classification
  Y.F. Yu, X. Wang, L. Chen, Y. Wang, G. Xu
  Expert Systems with Applications, 230:120558, 2023.
• Joint transformation learning via L_{2,1} norm metric for robust graph matching
  Y.F. Yu, G. Xu, M. Jiang, H. Zhu, D.Q. Dai, and H. Yan
  IEEE Transactions on Cybernetics, vol.51, no.2, pp.521-533, 2021.
• Kemel embedding multi-orientation local pattern for image representation
  Y.F. Yu, C.X. Ren, D.Q. Dai, and K.K. Huang
  IEEE Transactions on Cybernetics, vol. 48, no.4, pp.1124-1135, 2018.
• Dual calibration learning based L_{2,p} norm for graph matching
  Y.F. Yu, G. Xu, K.K. Huang, H. Zhu, L. Chen, and H. Wang
  IEEE Transactions on Circuits and Systems for Video Technology, vol.31, no.6, pp.2343-2358, 2021.
• Sparse approximation to discriminant projection learning and application to image classification
  Y.F. Yu, C.X. Ren, M. Jiang, M. Sun, D.Q. Dai, and G. Guo
  Pattern Recognition, vol.96, pp.1-10, 2019.
• Discriminative multi-layer illumination-robust feature extraction for face recognition
  Y. F. Yu, D. Q. Dai, C. X. Ren, and K. K. Huang
  Pattern Recognition, vol. 67, pp.201-212, 2017.
• Discriminative multi-scale sparse coding for single-sample face recognition with occlusion
  Y.F. Yu, D. Q. Dai, C. X. Ren, and K. K. Huang
  Pattern Recognition, vol. 66, pp.302-312, 2017.
• Kernel embedding transformation learning for graph matching
  Y.F. Yu, L. Chen, K.K. Huang, H. Zhu, and G. Xu
  Pattern Recognition Letters, vol. 163, 136-144, 2022.
• Second-order spatial-temporal correlation filters for visual tracking
  Y. Yu, L. Chen, H. He, J. Liu, W. Zhang, and G. Xu
  Mathematics, vol.10, no.5, pp.1-15, 2022.
• Discriminative common feature subspace learning for age-invariant face recognition
  Y.F. Yu, Q. Wang, and M. Jiang
  IET Biometrics, vol.9, no.4, pp.136-144, 2020.
• Multi-scale attention generative adversarial network for medical image enhancement
  G. Zhong, W. Ding, L. Chen, Y. Wang and Y. F. Yu
  IEEE Transactions on Emerging Topics in Computational Intelligence, vol.4, no.4, pp.1113-1125, 2023.
• Flexible subspace clustering: A joint feature selection and K-means clustering framework
  Z. Long, G. Xu, J. Du, H. Zhu, T. Yan, Y. F. Yu
  Big Data Research, vol. 23, 1-9, 2021.
• Kernelized dual regression incorporating local information for image set classification
  X. Wang, J. Du, G. Xu, I. Passero, H. Wang, Y. F. Yu
  Pattern Recognition Letters, vol.140, 274-280, 2020.
• Robust deep fuzzy K-means clustering for image data
  X. Wu, Y.F. Yu, L. Chen, W. Ding, and Y. Wang
  Pattern Recognition, 153:110504, 2024.
• Learning cross-domain semantic-visual relationships for transductive zero-shot learning
  F. Lv, J. Zhang, G. Yang, L. Feng, Y. Yu and L. Duan
  Pattern Recognition, vol.141:109591, 2023.
• Low-rank kernel regression with preserved locality for multi-class analysis
  Y. Wang, L. Chen, J. Zhou, T. Li, Y. Yu
  Pattern Recognition, vol.141:109601, 2023.
• Pairwise constraints-based semi-supervised fuzzy clustering with multi-manifold regularization
  Y. Wang, L. Chen, J. Zhou, T. Li, and Y. Yu
  Information Sciences, vol. 638, 118994, 2023.
• Tensor-based robust principal component analysis with locality preserving graph and frontal slice sparsity for hyperspectral image classification
  Y. Wang, T. Li, L. Chen, Y. F. Yu, Y. Zhao, J. Zhou
  IEEE Transactions on Geoscience and Remote Sensing, vol.60, pp.1-19, 2022.
• Hyperspectral image classification via discriminative Gabor ensemble filter
  K. K. Huang, C. X. Ren, H. Lui, Z. Lai, Y. F. Yu, D. Q. Dai
  IEEE Transactions on Cybernetics, vol.52, no.8, pp.8352-8365, 2022.
• Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss
  K.K. Huang, C.X. Ren, H. Lui, Z. Lai, Y.F. Yu, D.Q. Dai
  Pattern Recognition, vol.112, pp.1-13, 2021.
• Unsupervised domain adaptation via discriminative manifold embedding and alignment
  Y. Luo, C. Ren, P. Ge, K. K. Huang, Y. F. Yu
  AAAI Conference on Artificial Intelligence(AAAI), 2020, https://arxiv.org/pdf/2002.08675.pdf.(oral)
• An adaptive two-scale biomedical image fusion method with statistical comparisons
  J. Du, M. Fang, Y. F. Yu, G. Lu
  Computer Methods and Programs in Biomedicine, vol. 196, 1-13, 2020.
• DSPNet: A lightweight dilated convolution neural networks for spectral deconvolution with self-paced learning
  H. Zhu, Y. Qiao, G. Xu, L. Deng, Y.F. Yu
  IEEE Transactions on Industrial Informatics, vol.16, no.12, pp.7392-7401, 2020.
• Fusing landmark-based features at kernel level for face recognition
  K.K. Huang, D.Q. Dai, C.X. Ren, Y.F. Yu, Z. Lai
  Pattern Recognition, vol.63, pp.406-415, 2017.
• Remote sensing image compression based on binary tree and optimized truncation
  K.K. Huang, H. Liu, C.X. Ren, Y.F. Yu, Z. Lai
  Digital Signal Processing, vol. 64, pp.96-106, 2017.
• Quadtree coding with adaptive scanning order for space-borne image compression
  H. Liu, K. K. Huang, C. X. Ren, Y. F. Yu, Z. Lai
  Signal Processing: Image Communication, vol.55, no.7, pp.1-9, 2017.
• Correlation Filtering Tracking Method Based on Unsupervised Domain Adaptive
  Z. Wang, Y.F. Yu, B. Zhang, and F. Liu
  IEEE International on DASC/PiCom/CBDCom/CyberSciTech, 2022, pp.1-8.
• Discriminative Correlation Filter for Visual Tracking based on Asymmetric Relative Entropy
  T. Yan, Y. F. Yu
  IEEE International Conference on DASC/PiCom/CBDCom/CyberSciTech, 2022, pp.1-7.
• A parallel multi-block alternating direction method of multipliers for tensor completion
  Hu Zhu, Zhongyang Wang, Taiyu Yan, Yu-Feng Yu, Lizhen Deng, Bing-Kun Bao
  IET Image Process. 15(13):3053-3062(2021).
• Vector co-occurrence morphological edge detection for colour image
  Ying Lu, Chunming He, Yu-Feng Yu, Guoxia Xu, Hu Zhu, Lizhen Deng
  IET Image Process. 15(13):3063-3070(2021).
• DM-Free Curvelet Based Denoising for Astronomical Single Pulse Detection
  Min Jiang, Bingyi Cui, Yu-Feng Yu, Zhicheng X. Cao
  IEEE Access 7: 107389-107399(2019)