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Yali Peng
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Journal Articles
- 2023
- [j40]Hui Sheng, Min Liu
, Jiyong Hu, Ping Li, Yali Peng, Yugen Yi
LA-ESN: A Novel Method for Time Series Classification. Inf. 14(2): 67 (2023) - [j39]Xinlei Jia, Yali Peng, Bao Ge, Jun Li, Shigang Liu, Wenan Wang:
A Multi-scale Dilated Residual Convolution Network for Image Denoising. Neural Process. Lett. 55(2): 1231-1246 (2023) - [j38]Xiaoang Zhang, Yali Peng, Wenan Wang, Shigang Liu:
Image Super-Resolution Based on Gated Residual and Gated Convolution Networks. Neural Process. Lett. 55(9): 11807-11821 (2023) - [j37]Yijin Wang, Yali Peng, Shigang Liu, Bao Ge, Jun Li:
A two-phase projective dictionary pair learning-based classification scheme for positive and unlabeled learning. Pattern Anal. Appl. 26(3): 1253-1263 (2023) - 2022
- [j36]Xinlei Jia
Dual-Complementary Convolution Network for Remote-Sensing Image Denoising. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j35]Kai He, Yali Peng, Shigang Liu, Jun Li:
Regularized label relaxation with negative technique for image classification. Multim. Tools Appl. 81(28): 41131-41149 (2022) - 2021
- [j34]Yali Peng
Pre-training of gated convolution neural network for remote sensing image super-resolution. IET Image Process. 15(5): 1179-1188 (2021) - [j33]Yijin Wang, Yali Peng, Kai He, Shigang Liu, Jun Li:
A Two-Step Classification Method Based on Collaborative Representation for Positive and Unlabeled Learning. Neural Process. Lett. 53(6): 4239-4255 (2021) - 2020
- [j32]Shigang Liu
Optimized Coefficient Vector and Sparse Representation-Based Classification Method for Face Recognition. IEEE Access 8: 8668-8674 (2020) - [j31]Yue Cao, Shigang Liu
DenseUNet: densely connected UNet for electron microscopy image segmentation. IET Image Process. 14(12): 2682-2689 (2020) - [j30]Yali Peng
A Key Node Optimization Scheme for Public Bicycles Based on Wavefront Theory. Int. J. Artif. Intell. Tools 29(7-8): 2040016:1-2040016:16 (2020) - [j29]Yali Peng, Shigang Liu, Xili Wang, Xiaojun Wu:
Joint local constraint and fisher discrimination based dictionary learning for image classification. Neurocomputing 398: 505-519 (2020) - [j28]Yuhong Wang, Yali Peng, Shigang Liu, Jun Li, Xili Wang:
Sparsity adaptive matching pursuit for face recognition. J. Vis. Commun. Image Represent. 67: 102764 (2020) - [j27]Liping Li, Yali Peng, Shigang Liu:
Compound dictionary learning based classification method with a novel virtual sample generation Technology for Face Recognition. Multim. Tools Appl. 79(31-32): 23325-23346 (2020) - [j26]Shigang Liu, Yuhong Wang, Yali Peng, Sujuan Hou, Keyou Zhang, Xiaojun Wu:
Singular value decomposition-based virtual representation for face recognition. Mach. Vis. Appl. 31(3): 19 (2020) - [j25]Kai He
Regularized Negative Label Relaxation Least Squares Regression for Face Recognition. Neural Process. Lett. 51(3): 2629-2647 (2020) - [j24]Yali Peng, Lingjun Li, Shigang Liu, Xili Wang, Jun Li:
Weighted constraint based dictionary learning for image classification. Pattern Recognit. Lett. 130: 99-106 (2020) - 2019
- [j23]Zhao Pei
Focus Measure for Synthetic Aperture Imaging Using a Deep Convolutional Network. IEEE Access 7: 19762-19774 (2019) - [j22]Lu Zhang, Yu Zhang, Yali Peng, Shigang Liu
Fast Single Image Super-Resolution Via Dilated Residual Networks. IEEE Access 7: 109729-109738 (2019) - [j21]Yali Peng, Lingjun Li, Shigang Liu
Virtual samples and sparse representation-based classification algorithm for face recognition. IET Comput. Vis. 13(2): 172-177 (2019) - [j20]Yali Peng, Lu Zhang, Shigang Liu, Xiaojun Wu, Yu Zhang, Xili Wang:
Dilated Residual Networks with Symmetric Skip Connection for image denoising. Neurocomputing 345: 67-76 (2019) - [j19]Shigang Liu, Yali Peng, Zengguo Sun, Xili Wang:
Self-calibration of projective camera based on trajectory basis. J. Comput. Sci. 31: 45-53 (2019) - [j18]Yali Peng, Shigang Liu, Yongqian Qiang, Xiaojun Wu, Ling Hong:
A local mean and variance active contour model for biomedical image segmentation. J. Comput. Sci. 33: 11-19 (2019) - [j17]Yali Peng, Jingcheng Ke, Shigang Liu, Jun Li, Tao Lei:
An improvement to linear regression classification for face recognition. Int. J. Mach. Learn. Cybern. 10(9): 2229-2243 (2019) - [j16]Jingcheng Ke, Yali Peng, Shigang Liu, Zengguo Sun, Xili Wang:
A novel grouped sparse representation for face recognition. Multim. Tools Appl. 78(6): 7667-7689 (2019) - [j15]Yuqian Kuang, Min Guo, Yali Peng, Zhao Pei:
Learner posture recognition via a fusing model based on improved SILTP and LDP. Multim. Tools Appl. 78(21): 30443-30456 (2019) - 2018
- [j14]Yali Peng, Shigang Liu
Negative varepsilon Dragging Technique for Pattern Classification. IEEE Access 6: 488-494 (2018) - [j13]Lingjun Li, Yali Peng, Guoyong Qiu, Zengguo Sun, Shigang Liu:
A survey of virtual sample generation technology for face recognition. Artif. Intell. Rev. 50(1): 1-20 (2018) - [j12]Keyou Zhang, Yali Peng, Shigang Liu:
Discriminative face recognition via kernel sparse representation. Multim. Tools Appl. 77(24): 32243-32256 (2018) - [j11]Yali Peng, Lingjun Li, Shigang Liu, Jun Li, Xili Wang:
Extended sparse representation-based classification method for face recognition. Mach. Vis. Appl. 29(6): 991-1007 (2018) - [j10]Yali Peng, Lingjun Li, Shigang Liu, Tao Lei, Jie Wu:
A New Virtual Samples-Based CRC Method for Face Recognition. Neural Process. Lett. 48(1): 313-327 (2018) - [j9]Yali Peng, Paramjit S. Sehdev, Shigang Liu, Jun Li, Xili Wang:
l2, 1-norm minimization based negative label relaxation linear regression for feature selection. Pattern Recognit. Lett. 116: 170-178 (2018) - [j8]Yali Peng, Liping Li, Shigang Liu, Tao Lei:
Space-frequency domain based joint dictionary learning and collaborative representation for face recognition. Signal Process. 147: 101-109 (2018) - 2017
- [j7]Yali Peng, Lu Zhang, Shigang Liu
Kernel Negative ε Dragging Linear Regression for Pattern Classification. Complex. 2017: 2691474:1-2691474:14 (2017) - [j6]Shigang Liu, Lingjun Li, Yali Peng, Guoyong Qiu, Tao Lei:
Improved sparse representation method for image classification. IET Comput. Vis. 11(4): 319-330 (2017) - [j5]Zhonghua Liu, Yong Qiu, Yali Peng, Jiexin Pu, Xiaoli Zhang:
Quaternion Based Maximum Margin Criterion Method for Color Face Recognition. Neural Process. Lett. 45(3): 913-923 (2017) - 2016
- [j4]Shigang Liu, Yali Peng, Xianye Ben, Wankou Yang, Guoyong Qiu:
A novel label learning algorithm for face recognition. Signal Process. 124: 141-146 (2016) - 2014
- [j3]Yali Peng, Fang Liu, Shigang Liu:
Active contours driven by normalized local image fitting energy. Concurr. Comput. Pract. Exp. 26(5): 1200-1214 (2014) - [j2]Shigang Liu, Yali Peng, Guoyong Qiu, Xuanwen Hao:
A Local Statistical Information Active Contour Model for Image Segmentation. Int. J. Mob. Comput. Multim. Commun. 6(2): 33-49 (2014) - 2012
- [j1]Shigang Liu, Yali Peng:
A local region-based Chan-Vese model for image segmentation. Pattern Recognit. 45(7): 2769-2779 (2012)
Conference and Workshop Papers
- 2018
- [c4]Yuhong Wang, Shigang Liu, Yali Peng, Han Cao:
Discriminative Dictionary Learning Based on Sample Diversity for Face Recognition. PCM (2) 2018: 538-546 - 2017
- [c3]Zhao Pei, Haixing Shang, Yi Su, Miao Ma, Yali Peng:
Convolutional neural networks for class attendance. ICNC-FSKD 2017: 809-814 - 2013
- [c2]Yali Peng, Shigang Liu, Hong Fan, Jiamei Gao, Jiancheng Sun:
A Spatially Varying Mean and Variance Active Contour Model. INCoS 2013: 721-725 - 2012
- [c1]Yali Peng, Fang Liu, Shigang Liu:
A Normalized Local Binary Fitting Model for Image Segmentation. INCoS 2012: 77-80
Informal and Other Publications
- 2024
- [i2]Jiayue Zhang, Yiheng Liu, Wenqi Cai, Yali Peng, Senqing Qi, Taotao Long, Bao Ge:
Investigation of the effectiveness of applying ChatGPT in Dialogic Teaching Using Electroencephalography. CoRR abs/2403.16687 (2024) - 2020
- [i1]Yali Peng, Yue Cao, Shigang Liu, Jian Yang, Wangmeng Zuo:
Progressive Training of Multi-level Wavelet Residual Networks for Image Denoising. CoRR abs/2010.12422 (2020)
Coauthor Index
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