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Guo-Can Feng
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Journal Articles
- 2024
- [j43]Peng Qin, Weifu Chen, Min Zhang, Defang Li, Guocan Feng:
CC-GNN: A Clustering Contrastive Learning Network for Graph Semi-Supervised Learning. IEEE Access 12: 71956-71969 (2024) - [j42]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang:
Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4625-4640 (2024) - 2022
- [j41]Ruigang Zheng, Weifu Chen, Guocan Feng:
Semi-supervised node classification via adaptive graph smoothing networks. Pattern Recognit. 124: 108492 (2022) - 2021
- [j40]Defang Li, Min Zhang, Lifang Zhang, Weifu Chen, Guocan Feng:
A novel attribute-based generation architecture for facial image editing. Multim. Tools Appl. 80(4): 4881-4902 (2021) - [j39]Zhong Zhao, Qi Shen, Guocan Feng, Jiehua Zhu:
Collaborative coding and dictionary learning for nearest subspace classification. Soft Comput. 25(11): 7627-7643 (2021) - 2020
- [j38]Xiezhang Li, Guocan Feng, Jiehua Zhu:
An Algorithm of l1-Norm and l0-Norm Regularization Algorithm for CT Image Reconstruction from Limited Projection. Int. J. Biomed. Imaging 2020: 8873865:1-8873865:6 (2020) - [j37]Huiqi Deng, Weifu Chen, Qi Shen, Andy Jinhua Ma, Pong C. Yuen, Guocan Feng:
Invariant subspace learning for time series data based on dynamic time warping distance. Pattern Recognit. 102: 107210 (2020) - [j36]Haifeng Xia, Guocan Feng, Jia-xin Cai, Xin Tang, Hongmei Chi:
Embedded conformal deep low-rank auto-encoder network for matrix recovery. Pattern Recognit. Lett. 132: 38-45 (2020) - 2019
- [j35]Zhong Zhao, Guocan Feng, Lifang Zhang, Jiehua Zhu, Qi Shen:
Novel orthogonal based collaborative dictionary learning for efficient face recognition. Knowl. Based Syst. 163: 533-545 (2019) - 2018
- [j34]Weifu Chen, Mingquan Lin, Eli Gibson, Matthew Bastian-Jordan, Derek W. Cool, Zahra Kassam, Huageng Liang, Guocan Feng, Aaron D. Ward, Bernard Chiu:
A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging. Comput. Biol. Medicine 96: 252-265 (2018) - 2017
- [j33]Lifang Zhang, Qi Shen, Defang Li, Guocan Feng, Xin Tang, Patrick S. Wang:
Adaptive Hashing with Sparse Modification for Scalable Image Retrieval. Int. J. Pattern Recognit. Artif. Intell. 31(6): 1754011:1-1754011:22 (2017) - [j32]Hanbo Sun, Guocan Feng:
基于改进的Porter Stemmer词干提取与核方法的垃圾邮件过滤算法 (Spam Filter Algorithm with Improved Porter Stemmer and Kernels Methods). 计算机科学 44(Z6): 61-67 (2017) - [j31]Haibao Yu, Qi Shen, Guocan Feng:
在反卷积网络中引入数值解可视化卷积神经网络 (Introduce Numerical Solution to Visualize Convolutional Neuron Networks Based on Numerical Solution). 计算机科学 44(Z6): 146-150 (2017) - 2016
- [j30]Zhong Zhao, Guocan Feng, Jiehua Zhu, Qi Shen:
Manifold learning: Dimensionality reduction and high dimensional data reconstruction via dictionary learning. Neurocomputing 216: 268-285 (2016) - 2015
- [j29]Xian'en Qiu, Yanyi Qiu, Guocan Feng, Peixing Li:
A sparse fuzzy c-means algorithm based on sparse clustering framework. Neurocomputing 157: 290-295 (2015) - [j28]Zhong Zhao, Guocan Feng:
Efficient algorithm for sparse coding and dictionary learning with applications to face recognition. J. Electronic Imaging 24(2): 023009 (2015) - [j27]Zhihong Luo, Guocan Feng:
一种新的去除混合噪声的变分模型及其应用 (Novel Denosing Model and its Application for Images Corrupted by Different Types Noises). 计算机科学 42(5): 277-280 (2015) - 2014
- [j26]Xin Tang, Guo-Can Feng, Jia-xin Cai:
Weighted group sparse representation for undersampled face recognition. Neurocomputing 145: 402-415 (2014) - [j25]Xian'en Qiu, Zhong Zhao, Guocan Feng, Patrick S. P. Wang:
A General Framework for Manifold Reconstruction from Dimensionality Reduction. Int. J. Pattern Recognit. Artif. Intell. 28(2) (2014) - 2013
- [j24]Xiao-Zhang Liu, Patrick S. P. Wang, Guo-Can Feng:
Kernel-Based 2D Fisher Discriminant Analysis with parameter Optimization for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 27(8) (2013) - [j23]Qianying Wang, Pong Chi Yuen, Guocan Feng:
Semi-supervised metric learning via topology preserving multiple semi-supervised assumptions. Pattern Recognit. 46(9): 2576-2587 (2013) - 2012
- [j22]Weifu Chen, Guocan Feng:
Spectral clustering: A semi-supervised approach. Neurocomputing 77(1): 229-242 (2012) - [j21]Qianying Wang, Pong Chi Yuen, Guocan Feng, Patrick S. P. Wang:
Similarity Learning Based on Semi-Supervised Graph for Classification. Int. J. Pattern Recognit. Artif. Intell. 26(4) (2012) - [j20]Xin Tang, Patrick S. P. Wang, Guocan Feng:
A Novel Supervised Structure Dictionary Learning for Classification Based on Sparse Representation. Int. J. Pattern Recognit. Artif. Intell. 26(7) (2012) - [j19]Guan Yang, Guo-Can Feng, Zhi-Hong Luo, Zhi-Yong Liu:
Texture Analysis Using Gaussian Graphical Models. Int. J. Wavelets Multiresolution Inf. Process. 10(2) (2012) - [j18]Weifu Chen, Guocan Feng:
Spectral clustering with discriminant cuts. Knowl. Based Syst. 28: 27-37 (2012) - 2010
- [j17]Chunyuan Lu, Jianmin Jiang, Guocan Feng:
A Boosted Manifold Learning for Automatic Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 24(2): 321-335 (2010) - 2009
- [j16]Xiao-Zhang Liu, Wen-Sheng Chen, Pong Chi Yuen, Guo-Can Feng:
Learning Kernel in Kernel-Based LDA for Face Recognition Under Illumination Variations. IEEE Signal Process. Lett. 16(12): 1019-1022 (2009) - 2008
- [j15]Guan Yang, Fei Xue, Guo-Can Feng, Ching Y. Suen:
Robust Face Recognition under Varying Light Based on 3D Recovery. J. WSCG 16(1-3): 153-160 (2008) - 2004
- [j14]Jianmin Jiang, Andrew James Armstrong, Guo-Can Feng:
Web-based image indexing and retrieval in JPEG compressed domain. Multim. Syst. 9(5): 424-432 (2004) - 2003
- [j13]Guo-Can Feng, Jianmin Jiang:
Image segmentation in compressed domain. J. Electronic Imaging 12(3): 390-397 (2003) - [j12]Guo-Can Feng, Jianmin Jiang:
JPEG compressed image retrieval via statistical features. Pattern Recognit. 36(4): 977-985 (2003) - 2002
- [j11]Jianmin Jiang, Andrew James Armstrong, Guo-Can Feng:
Direct content access and extraction from JPEG compressed images. Pattern Recognit. 35(11): 2511-2519 (2002) - [j10]Jianmin Jiang, Guocan Feng:
The spatial relationship of DCT coefficients between a block and its sub-blocks. IEEE Trans. Signal Process. 50(5): 1160-1169 (2002) - 2001
- [j9]Jian-Huang Lai, Pong Chi Yuen, Guo-Can Feng:
Face recognition using holistic Fourier invariant features. Pattern Recognit. 34(1): 95-109 (2001) - [j8]Guo-Can Feng, Pong Chi Yuen:
Multi-cues eye detection on gray intensity image. Pattern Recognit. 34(5): 1033-1046 (2001) - 2000
- [j7]Guo-Can Feng, Jian-Huang Lai, Pong Chi Yuen:
View Synthesis Under Perspective Projection. Int. J. Pattern Recognit. Artif. Intell. 14(5): 649-661 (2000) - [j6]Guo-Can Feng, Pong Chi Yuen, Dao-Qing Dai:
Human face recognition using PCA on wavelet subband. J. Electronic Imaging 9(2): 226-233 (2000) - [j5]Guo-Can Feng, Pong Chi Yuen:
Recognition of head-and-shoulder face image using virtual frontal-view image. IEEE Trans. Syst. Man Cybern. Part A 30(6): 871-882 (2000) - 1999
- [j4]Pong Chi Yuen, Guo-Can Feng, J. P. Zhou:
A contour detection method: Initialization and contour model. Pattern Recognit. Lett. 20(2): 141-148 (1999) - 1998
- [j3]Pong Chi Yuen, Guo-Can Feng, Yuan Yan Tang:
Printed Chinese Character Similarity Measurement Using Ring Projection and Distance Transform. Int. J. Pattern Recognit. Artif. Intell. 12(2): 209-221 (1998) - [j2]Guo-Can Feng, Pong Chi Yuen:
Variance projection function and its application to eye detection for human face recognition. Pattern Recognit. Lett. 19(9): 899-906 (1998) - 1996
- [j1]Pong Chi Yuen, Guo-Can Feng:
A novel method for parameter estimation of digital arc. Pattern Recognit. Lett. 17(9): 929-938 (1996)
Conference and Workshop Papers
- 2021
- [c35]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. AAAI 2021: 11462-11469 - [c34]Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu:
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. KDD 2021: 258-268 - 2019
- [c33]Qinhong Yan, Meihan Tang, Weifu Chen, Guocan Feng:
Deep Convolutional Center-Based Clustering. PRCV (1) 2019: 552-561 - 2018
- [c32]Defang Li, Min Zhang, Weifu Chen, Guocan Feng:
Facial Attribute Editing by Latent Space Adversarial Variational Autoencoders. ICPR 2018: 1337-1342 - [c31]Huiqi Deng, Weifu Chen, Andy Jinhua Ma, Qi Shen, Pong C. Yuen, Guocan Feng:
Robust Shapelets Learning: Transform-Invariant Prototypes. PRCV (3) 2018: 491-502 - [c30]Xuefei Zheng, Min Zhang, Jiawei Hu, Weifu Chen, Guocan Feng:
Weighted Graph Classification by Self-Aligned Graph Convolutional Networks Using Self-Generated Structural Features. PRCV (2) 2018: 505-516 - 2017
- [c29]Xiaoyi Qin, Weifu Chen, Qi Shen, Jianmin Jiang, Guocan Feng:
Image Inpainting: A Contextual Consistent and Deep Generative Adversarial Training Approach. ACPR 2017: 588-593 - [c28]Weifu Chen, Bernard Chiu, Eli Gibson, Matthew Bastian-Jordan, Derek Cool, Zahra Kassam, Huageng Liang, Aaron D. Ward, Qi Shen, Guocan Feng:
A Graph-Based Multi-kernel Feature Weight Learning Framework for Detection and Grading of Prostate Lesions Using Multi-parametric MR Images. ACPR 2017: 658-663 - [c27]Jia-xin Cai, Xin Tang, Lifang Zhang, Guocan Feng:
Learning Zeroth Class Dictionary for Human Action Recognition. CCCV (3) 2017: 651-666 - 2016
- [c26]Renfei Liu, Xiangyuan Lan, Pong C. Yuen, Guo-Can Feng:
Robust visual tracking using dynamic feature weighting based on multiple dictionary learning. EUSIPCO 2016: 2166-2170 - [c25]Lifang Zhang, Qi Shen, Defang Li, Xin Tang, Patrick S. Wang, Guo-Can Feng:
Adaptive Hashing with Sparse Modification. ICPR 2016: 3844-3849 - 2015
- [c24]Zhong Zhao, Guo-Can Feng, Lifang Zhang, Jiehua Zhu:
Maximum entropy regularized group collaborative representation for face recognition. ICIP 2015: 291-295 - 2014
- [c23]Jia-xin Cai, Xin Tang, Guo-Can Feng:
Learning Pose Dictionary for Human Action Recognition. ICPR 2014: 381-386 - [c22]Zhong Zhao, Guocan Feng:
A Dictionary-Based Algorithm for Dimensionality Reduction and Data Reconstruction. ICPR 2014: 1556-1561 - 2013
- [c21]Jia-xin Cai, Guo-Can Feng, Xin Tang:
Human action recognition using oriented holistic feature. ICIP 2013: 2420-2424 - 2012
- [c20]Xin Tang, Guocan Feng:
Weighted Group Sparse Representation Based on Robust Regression for Face Recognition. CCBR 2012: 42-49 - [c19]Weifu Chen, Guocan Feng, Xiaolin Zou, Zhi-Yong Liu:
A Competitive Model for Semi-supervised Discriminant Analysis. CCBR 2012: 380-387 - [c18]Qianying Wang, Pong Chi Yuen, Guo-Can Feng:
Semi-supervised metric learning VIA topology representation. EUSIPCO 2012: 639-643 - [c17]Xiao-Zhang Liu, Guo-Can Feng:
Multiple kernel discriminant analysis. ICPR 2012: 1691-1694 - 2011
- [c16]Weifu Chen, Guocan Feng, Zhi-Yong Liu:
Discriminant cuts for data clustering and analysis. ACPR 2011: 120-124 - [c15]Jianfang Hu, Guocan Feng, Jian-Huang Lai, Wei-Shi Zheng:
Asymmetric Facial Shape Based on Symmetry Assumption. CCBR 2011: 42-49 - [c14]Qianying Wang, Pong Chi Yuen, Guo-Can Feng:
Similarity learning for semi-supervised multi-class boosting. ICASSP 2011: 2164-2167 - 2010
- [c13]Weifu Chen, Guocan Feng:
Semi-supervised Graph Learning: Near Strangers or Distant Relatives. ICPR 2010: 3368-3371 - 2009
- [c12]Weiwen Zou, Guocan Feng:
ROI Image Retrieval Based on the Spatial Structure of Objects. CSIE (7) 2009: 105-110 - 2008
- [c11]Xiao-Zhang Liu, Guo-Can Feng:
Kernel Bisecting k-means clustering for SVM training sample reduction. ICPR 2008: 1-4 - [c10]Chunyuan Lu, Guocan Feng, Jianmin Jiang, Patrick S. P. Wang:
Metric Learning: A general dimension reduction framework for classification and visualization. ICPR 2008: 1-4 - [c9]Chunyuan Lu, Jianmin Jiang, Guocan Feng, Chunmei Qing:
A Manifolded AdaBoost for Face Recognition. KES (1) 2008: 123-130 - 2004
- [c8]Jiada Chen, Jian-Huang Lai, Guo-Can Feng:
Gabor-Based Kernel Fisher Discriminant Analysis for Pose Discrimination. SINOBIOMETRICS 2004: 153-161 - [c7]Chao Zhanga, Guo-Can Feng, Jian-Huang Lai:
Robust Pose Estimation of Face Using Genetic Algorithm. SINOBIOMETRICS 2004: 162-171 - 2003
- [c6]Guo-Can Feng, Baharum Baharudin, Jianmin Jiang:
Comprehensive progressive decoding for JPEG compressed image. Storage and Retrieval for Media Databases 2003: 241-251 - 2002
- [c5]Guo-Can Feng, Jianmin Jiang:
JPEG Image Retrieval Based on Features from DCT Domain. CIVR 2002: 120-128 - 2001
- [c4]Guocan Feng, Jianmin Jiang:
Image spatial transformation in DCT domain. ICIP (3) 2001: 836-839 - 2000
- [c3]Guo-Can Feng, Pong Chi Yuen, Jian-Huang Lai:
Virtual View Face Image Synthesis Using 3D Spring-Based Face Model from a Single Image. FG 2000: 530-535 - [c2]Dao-Qing Dai, Guo-Can Feng, Jian-Huang Lai, Pong Chi Yuen:
Face Recognition Based on Local Fisher Features. ICMI 2000: 230-236 - 1998
- [c1]Pong Chi Yuen, Guo-Can Feng, Dao-Qing Dai:
Human face image retrieval system for large database. ICPR 1998: 1585-1588
Editorship
- 2004
- [e1]Stan Z. Li, Jian-Huang Lai, Tieniu Tan, Guo-Can Feng, Yangsheng Wang:
Advances in Biometric Person Authentication, 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, Guangzhou, China, December 13-14, 2004, Proceedings. Lecture Notes in Computer Science 3338, Springer 2004, ISBN 3-540-24029-2 [contents]
Informal and Other Publications
- 2023
- [i4]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang:
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. CoRR abs/2303.01506 (2023) - 2021
- [i3]Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu:
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. CoRR abs/2104.06629 (2021) - 2020
- [i2]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. CoRR abs/2008.09695 (2020) - 2016
- [i1]Jia-xin Cai, Xin Tang, Lifang Zhang, Guo-Can Feng:
Learning zeroth class dictionary for human action recognition. CoRR abs/1603.04015 (2016)
Coauthor Index
aka: Pong Chi Yuen
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last updated on 2024-10-07 21:24 CEST by the dblp team
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