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Journal Articles
- 2024
[j197]Dong Liang
, Zhengyan Xu, Ling Li, Mingqiang Wei, Songcan Chen:
PIE: Physics-Inspired Low-Light Enhancement. Int. J. Comput. Vis. 132(9): 3911-3932 (2024)- [j196]Yunyun Wang, Yao Liu, Songcan Chen:
Towards adaptive unknown authentication for universal domain adaptation by classifier paradox. Mach. Learn. 113(4): 1623-1641 (2024) - [j195]Yunyun Wang, Jian Mao, Chenguang Guo, Songcan Chen:
Contrastive Prototype-Guided Generation for Generalized Zero-Shot Learning. Neural Networks 176: 106324 (2024) - [j194]Enhao Zhang, Chuanxing Geng, Chaohua Li, Songcan Chen:
Dynamic Learnable Logit Adjustment for Long-Tailed Visual Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(9): 7986-7997 (2024) - [j193]Jia-Yao Chen, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen, Lei Wang, Ming-Kun Xie:
UNM: A Universal Approach for Noisy Multi-Label Learning. IEEE Trans. Knowl. Data Eng. 36(9): 4968-4980 (2024) - [j192]Qing Tian, Chuang Ma, Meng Cao, Jun Wan, Zhen Lei, Songcan Chen:
Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3464-3477 (2024) - 2023
- [j191]Quan Feng, Songcan Chen:
Learning multi-tasks with inconsistent labels by using auxiliary big task. Frontiers Comput. Sci. 17(5): 175342 (2023) - [j190]Yunyun Wang, Quchuan Chen, Yao Liu, Weikai Li, Songcan Chen:
TIToK: A solution for bi-imbalanced unsupervised domain adaptation. Neural Networks 164: 81-90 (2023) - [j189]Xiaodong Jia, Xiao-Yuan Jing, Qixing Sun, Songcan Chen, Bo Du, David Zhang:
Human Collective Intelligence Inspired Multi-View Representation Learning - Enabling View Communication by Simulating Human Communication Mechanism. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7412-7429 (2023) - [j188]Weikai Li, Songcan Chen:
Partial Domain Adaptation Without Domain Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8787-8797 (2023) - [j187]Yunxia Lin, Songcan Chen:
Rectified Euler k-means and beyond. Pattern Recognit. 137: 109283 (2023) - [j186]Aiyang Han, Chuanxing Geng, Songcan Chen:
Universum-Inspired Supervised Contrastive Learning. IEEE Trans. Image Process. 32: 4275-4286 (2023) - [j185]Zhongchen Ma, Songcan Chen:
A Similarity-Based Framework for Classification Task. IEEE Trans. Knowl. Data Eng. 35(5): 5438-5443 (2023) - [j184]Simin Kou, Xuesong Yin, Yigang Wang, Songcan Chen, Tieming Chen, Zizhao Wu:
Structure-Aware Subspace Clustering. IEEE Trans. Knowl. Data Eng. 35(10): 10569-10582 (2023) - [j183]Chuanxing Geng, Songcan Chen:
Multiplane Convex Proximal Support Vector Machine. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4918-4931 (2023) - [j182]Yunxia Lin, Songcan Chen:
Convex Subspace Clustering by Adaptive Block Diagonal Representation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10065-10078 (2023) - 2022
- [j181]Zhenghao Tan, Songcan Chen:
On the learning dynamics of two-layer quadratic neural networks for understanding deep learning. Frontiers Comput. Sci. 16(3): 163313 (2022) - [j180]Yunyun Wang, Chao Wang, Hui Xue, Songcan Chen:
Self-corrected unsupervised domain adaptation. Frontiers Comput. Sci. 16(5): 165323 (2022) - [j179]Shaoyuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen:
Improving deep label noise learning with dual active label correction. Mach. Learn. 111(3): 1103-1124 (2022) - [j178]Xiang Li, Songcan Chen:
A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 5918-5932 (2022) - [j177]Weikai Li, Songcan Chen:
Unsupervised domain adaptation with progressive adaptation of subspaces. Pattern Recognit. 132: 108918 (2022) - [j176]Qing Tian, Yanan Zhu, Heyang Sun, Songcan Chen, Hujun Yin:
Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8562-8573 (2022) - [j175]Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Hujun Yin:
A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition. IEEE Trans. Cybern. 52(2): 849-861 (2022) - [j174]Qing Tian, Heyang Sun, Chuang Ma, Meng Cao, Yi Chu, Songcan Chen:
Heterogeneous Domain Adaptation With Structure and Classification Space Alignment. IEEE Trans. Cybern. 52(10): 10328-10338 (2022) - [j173]Chuanxing Geng, Songcan Chen:
Collective Decision for Open Set Recognition. IEEE Trans. Knowl. Data Eng. 34(1): 192-204 (2022) - 2021
- [j172]Shaoyuan Li, Sheng-Jun Huang, Songcan Chen:
Crowdsourcing aggregation with deep Bayesian learning. Sci. China Inf. Sci. 64(3) (2021) - [j171]Di Ma, Songcan Chen:
Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension. Sci. China Inf. Sci. 64(9) (2021) - [j170]Songcan Chen, Chuanxing Geng:
A comprehensive perspective of contrastive self-supervised learning. Frontiers Comput. Sci. 15(4): 154332 (2021) - [j169]Xiaodong Jia, Xiao-Yuan Jing, Xiaoke Zhu, Songcan Chen, Bo Du, Ziyun Cai, Zhenyu He, Dong Yue:
Semi-Supervised Multi-View Deep Discriminant Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2496-2509 (2021) - [j168]Chuanxing Geng, Sheng-Jun Huang, Songcan Chen:
Recent Advances in Open Set Recognition: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3614-3631 (2021) - [j167]Zhongchen Ma, Songcan Chen:
Expand globally, shrink locally: Discriminant multi-label learning with missing labels. Pattern Recognit. 111: 107675 (2021) - [j166]Yunxia Lin, Songcan Chen:
A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. IEEE Trans. Fuzzy Syst. 29(7): 2006-2017 (2021) - [j165]Qing Tian, Meng Cao, Songcan Chen, Hujun Yin:
Structure-Exploiting Discriminative Ordinal Multioutput Regression. IEEE Trans. Neural Networks Learn. Syst. 32(1): 266-280 (2021) - 2020
- [j164]Shaocheng Guo, Songcan Chen, Qing Tian:
Ordinal factorization machine with hierarchical sparsity. Frontiers Comput. Sci. 14(1): 67-83 (2020) - [j163]Di Ma, Songcan Chen:
Bayesian compressive principal component analysis. Frontiers Comput. Sci. 14(4): 144303 (2020) - [j162]Di Ma, Songcan Chen:
Distribution agnostic Bayesian matching pursuit based on the exponential embedded family. Neurocomputing 410: 401-409 (2020) - [j161]Qi Huang, Xuesong Yin, Songcan Chen, Yigang Wang, Bowen Chen:
Robust nonnegative matrix factorization with structure regularization. Neurocomputing 412: 72-90 (2020) - [j160]Yunyun Wang, Jian-Min Gu, Chao Wang, Songcan Chen, Hui Xue:
Discrimination-Aware Domain Adversarial Neural Network. J. Comput. Sci. Technol. 35(2): 259-267 (2020) - [j159]Yunyun Wang, Lingli Nie, Yun Li, Songcan Chen:
Soft large margin clustering for unsupervised domain adaptation. Knowl. Based Syst. 192: 105344 (2020) - [j158]Chuanxing Geng, Lue Tao, Songcan Chen:
Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes. Pattern Recognit. 102: 107263 (2020) - [j157]Zhenzhen Quan, Songcan Chen:
Robust convex clustering. Soft Comput. 24(2): 731-744 (2020) - [j156]Yingwen Zhu, Songcan Chen:
Growing neural gas with random projection method for high-dimensional data stream clustering. Soft Comput. 24(13): 9789-9807 (2020) - [j155]Ping Li, Songcan Chen:
Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering. IEEE Trans. Cybern. 50(1): 61-73 (2020) - [j154]Qing Tian, Wenqiang Zhang, Meng Cao, Liping Wang, Songcan Chen, Hujun Yin:
Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. ACM Trans. Intell. Syst. Technol. 11(5): 61:1-61:18 (2020) - 2019
- [j153]Di Ma, Songcan Chen:
2D compressed learning: support matrix machine with bilinear random projections. Mach. Learn. 108(12): 2035-2060 (2019) - [j152]Hui Xue, Lin Wang, Songcan Chen, Yunyun Wang:
A Primal Framework for Indefinite Kernel Learning. Neural Process. Lett. 50(1): 165-188 (2019) - [j151]Qing Tian, Meng Cao, Songcan Chen, Hujun Yin:
Relationships Self-Learning Based Gender-Aware Age Estimation. Neural Process. Lett. 50(3): 2141-2160 (2019) - [j150]Zhongchen Ma, Songcan Chen:
A convex formulation for multiple ordinal output classification. Pattern Recognit. 86: 73-84 (2019) - [j149]Ping Li, Songcan Chen:
Gaussian process approach for metric learning. Pattern Recognit. 87: 17-28 (2019) - 2018
- [j148]Qing Tian, Songcan Chen, Tinghuai Ma:
Ordinal space projection learning via neighbor classes representation. Comput. Vis. Image Underst. 174: 24-32 (2018) - [j147]Zhongchen Ma, Songcan Chen:
Multi-dimensional classification via a metric approach. Neurocomputing 275: 1121-1131 (2018) - [j146]Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen:
Data-driven graph construction and graph learning: A review. Neurocomputing 312: 336-351 (2018) - [j145]Qing Tian, Wenqiang Zhang, Liping Wang, Songcan Chen, Hujun Yin:
Robust ordinal regression induced by lp-centroid. Neurocomputing 313: 184-195 (2018) - [j144]Qing Tian, Songcan Chen:
Joint gender classification and age estimation by nearly orthogonalizing their semantic spaces. Image Vis. Comput. 69: 9-21 (2018) - [j143]Ping Li, Songcan Chen:
Hierarchical Gaussian Processes model for multi-task learning. Pattern Recognit. 74: 134-144 (2018) - [j142]Nengneng Gao, Sheng-Jun Huang, Yifan Yan, Songcan Chen:
Cross modal similarity learning with active queries. Pattern Recognit. 75: 214-222 (2018) - [j141]Zhongchen Ma, Songcan Chen, Di Ma:
Heterogeneous multi-output classification by structured conditional risk minimization. Pattern Recognit. Lett. 116: 50-57 (2018) - [j140]Feihu Huang, Songcan Chen:
Learning Dynamic Conditional Gaussian Graphical Models. IEEE Trans. Knowl. Data Eng. 30(4): 703-716 (2018) - [j139]Lei Chen, Han Zhang, Junfeng Lu, Kim-Han Thung, Abudumijiti Aibaidula, Luyan Liu, Songcan Chen, Lei Jin, Jinsong Wu, Qian Wang, LiangFu Zhou, Dinggang Shen:
Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. IEEE Trans. Medical Imaging 37(8): 1775-1787 (2018) - [j138]Feihu Huang, Songcan Chen, Sheng-Jun Huang:
Joint Estimation of Multiple Conditional Gaussian Graphical Models. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3034-3046 (2018) - [j137]Chuanxing Geng, Songcan Chen:
Metric Learning-Guided Least Squares Classifier Learning. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6409-6414 (2018) - 2017
- [j136]Qing Tian, Songcan Chen:
Cross-heterogeneous-database age estimation through correlation representation learning. Neurocomputing 238: 286-295 (2017) - [j135]Liping Wang, Songcan Chen:
Joint representation classification for collective face recognition. Pattern Recognit. 63: 182-192 (2017) - [j134]Yunyun Wang, Yan Meng, Yun Li, Songcan Chen, Zhenyong Fu, Hui Xue:
Semi-supervised manifold regularization with adaptive graph construction. Pattern Recognit. Lett. 98: 90-95 (2017) - 2016
- [j133]Ping Li, Songcan Chen:
A review on Gaussian Process Latent Variable Models. CAAI Trans. Intell. Technol. 1(4): 366-376 (2016) - [j132]Lu Yu, Jun Xie, Songcan Chen, Lei Zhu:
Generating labeled samples for hyperspectral image classification using correlation of spectral bands. Frontiers Comput. Sci. 10(2): 292-301 (2016) - [j131]Nengneng Gao, Sheng-Jun Huang, Songcan Chen:
Multi-label active learning by model guided distribution matching. Frontiers Comput. Sci. 10(5): 845-855 (2016) - [j130]Yulian Zhu, Songcan Chen, Qing Tian:
Spatial regularization in subspace learning for face recognition: implicit vs. explicit. Neurocomputing 173: 1554-1564 (2016) - [j129]Peng-Cheng Zou, Jiandong Wang, Songcan Chen, Haiyan Chen:
Margin distribution explanation on metric learning for nearest neighbor classification. Neurocomputing 177: 168-178 (2016) - [j128]Xiaoqian Qin, Xiaoyang Tan, Songcan Chen:
Mixed bi-subject kinship verification via multi-view multi-task learning. Neurocomputing 214: 350-357 (2016) - [j127]Qing Tian, Songcan Chen, Lishan Qiao:
Ordinal margin metric learning and its extension for cross-distribution image data. Inf. Sci. 349-350: 50-64 (2016) - [j126]Bo Sun, Songcan Chen, Jiandong Wang, Haiyan Chen:
A robust multi-class AdaBoost algorithm for mislabeled noisy data. Knowl. Based Syst. 102: 87-102 (2016) - [j125]Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue:
Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2335-2341 (2016) - 2015
- [j124]Li Zhang, Songcan Chen, Xuejun Liu:
Detecting differential expression from RNA-seq data with expression measurement uncertainty. Frontiers Comput. Sci. 9(4): 652-663 (2015) - [j123]Yunyun Wang, Songcan Chen, Hui Xue, Zhenyong Fu:
Semi-supervised classification learning by discrimination-aware manifold regularization. Neurocomputing 147: 299-306 (2015) - [j122]Qing Tian, Songcan Chen:
Cumulative attribute relation regularization learning for human age estimation. Neurocomputing 165: 456-467 (2015) - [j121]Ling Fang, Songcan Chen:
基于特征偏好的聚类研究 (Research on Clustering with Feature Preferences). 计算机科学 42(5): 57-61 (2015) - [j120]Qing Tian, Songcan Chen:
A novel ordinal learning strategy: Ordinal nearest-centroid projection. Knowl. Based Syst. 88: 144-153 (2015) - [j119]Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao:
McMatMHKS: A direct multi-class matrixized learning machine. Knowl. Based Syst. 88: 184-194 (2015) - [j118]Xiaoqian Qin, Xiaoyang Tan, Songcan Chen:
Tri-Subject Kinship Verification: Understanding the Core of A Family. IEEE Trans. Multim. 17(10): 1855-1867 (2015) - [j117]Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen:
FREL: A Stable Feature Selection Algorithm. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1388-1402 (2015) - [j116]Feihu Huang, Songcan Chen:
Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2606-2620 (2015) - 2014
- [j115]Liping Wang, Songcan Chen, Yuanping Wang:
A unified algorithm for mixed $l_{2, p}$ -minimizations and its application in feature selection. Comput. Optim. Appl. 58(2): 409-421 (2014) - [j114]Fengyi Song, Xiaoyang Tan, Songcan Chen:
Exploiting relationship between attributes for improved face verification. Comput. Vis. Image Underst. 122: 143-154 (2014) - [j113]Leilei Yang, Songcan Chen:
Linear discriminant analysis with worst between-class separation and average within-class compactness. Frontiers Comput. Sci. 8(5): 785-792 (2014) - [j112]Hui Xue, Songcan Chen:
Discriminality-driven regularization framework for indefinite kernel machine. Neurocomputing 133: 209-221 (2014) - [j111]Qing Tian, Songcan Chen, Xiaoyang Tan:
Comparative study among three strategies of incorporating spatial structures to ordinal image regression. Neurocomputing 136: 152-161 (2014) - [j110]Mingxia Liu, Daoqiang Zhang, Songcan Chen:
Attribute relation learning for zero-shot classification. Neurocomputing 139: 34-46 (2014) - [j109]Bo Yang, Songcan Chen:
A Comparative Study: Globality versus Locality for Graph Construction in Discriminant Analysis. J. Appl. Math. 2014: 965602:1-965602:12 (2014) - [j108]Zhong-Gui Sun, Songcan Chen, Li-Shan Qiao:
A Two-Step Regularization Framework for Non-Local Means. J. Comput. Sci. Technol. 29(6): 1026-1037 (2014) - [j107]Aibing Ji, Songcan Chen, Qiang Hua:
Fuzzy classifier based on fuzzy support vector machine. J. Intell. Fuzzy Syst. 26(1): 421-430 (2014) - [j106]Peng-Cheng Zou, Jiandong Wang, Songcan Chen, Haiyan Chen:
Bagging-like metric learning for support vector regression. Knowl. Based Syst. 65: 21-30 (2014) - [j105]Zhonggui Sun, Songcan Chen, Lishan Qiao:
A general non-local denoising model using multi-kernel-induced measures. Pattern Recognit. 47(4): 1751-1763 (2014) - [j104]Fengyi Song, Xiaoyang Tan, Xue Liu, Songcan Chen:
Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients. Pattern Recognit. 47(9): 2825-2838 (2014) - 2013
- [j103]Qiang Qian, Songcan Chen:
Co-metric: a metric learning algorithm for data with multiple views. Frontiers Comput. Sci. 7(3): 359-369 (2013) - [j102]Lishan Qiao, Limei Zhang, Songcan Chen:
Dimensionality reduction with adaptive graph. Frontiers Comput. Sci. 7(5): 745-753 (2013) - [j101]Xuesong Yin, Songcan Chen, Enliang Hu:
Regularized soft K-means for discriminant analysis. Neurocomputing 103: 29-42 (2013) - [j100]Bo Yang, Songcan Chen:
A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image. Neurocomputing 120: 365-379 (2013) - [j99]Yunyun Wang, Songcan Chen:
Soft large margin clustering. Inf. Sci. 232: 116-129 (2013) - [j98]Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, Zi Yang:
Query-dependent cross-domain ranking in heterogeneous network. Knowl. Inf. Syst. 34(1): 109-145 (2013) - [j97]Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao:
Random projection ensemble learning with multiple empirical kernels. Knowl. Based Syst. 37: 388-393 (2013) - [j96]Qiang Qian, Songcan Chen, Xudong Zhou:
Multi-view classification with cross-view must-link and cannot-link side information. Knowl. Based Syst. 54: 137-146 (2013) - [j95]Bo Cheng, Daoqiang Zhang, Songcan Chen, Daniel Kaufer, Dinggang Shen:
Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers. Neuroinformatics 11(3): 339-353 (2013) - [j94]Xudong Zhou, Xiaohong Chen, Songcan Chen:
Neighborhood Correlation Analysis for Semi-paired Two-View Data. Neural Process. Lett. 37(3): 335-354 (2013) - [j93]Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen:
Three-fold structured classifier design based on matrix pattern. Pattern Recognit. 46(6): 1532-1555 (2013) - [j92]Fengyi Song, Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou:
A literature survey on robust and efficient eye localization in real-life scenarios. Pattern Recognit. 46(12): 3157-3173 (2013) - [j91]Zhonggui Sun, Songcan Chen:
Analysis of Non-Local Euclidean Medians and Its Improvement. IEEE Signal Process. Lett. 20(4): 303-306 (2013) - [j90]Yunyun Wang, Songcan Chen:
Safety-Aware Semi-Supervised Classification. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1763-1772 (2013) - 2012
- [j89]Yunyun Wang, Songcan Chen, Hui Xue:
Can under-exploited structure of original-classes help ECOC-based multi-class classification? Neurocomputing 89: 158-167 (2012) - [j88]Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao:
Regularized multi-view learning machine based on response surface technique. Neurocomputing 97: 201-213 (2012) - [j87]Xubing Yang, Songcan Chen, Bin Chen:
Plane-Gaussian artificial neural network. Neural Comput. Appl. 21(2): 305-317 (2012) - [j86]Limei Zhang, Songcan Chen, Lishan Qiao:
Graph optimization for dimensionality reduction with sparsity constraints. Pattern Recognit. 45(3): 1205-1210 (2012) - [j85]Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou:
A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data. Pattern Recognit. 45(5): 2005-2018 (2012) - [j84]Qiang Qian, Songcan Chen, Weiling Cai:
Simultaneous clustering and classification over cluster structure representation. Pattern Recognit. 45(6): 2227-2236 (2012) - [j83]Yunyun Wang, Songcan Chen, Zhi-Hua Zhou:
New Semi-Supervised Classification Method Based on Modified Cluster Assumption. IEEE Trans. Neural Networks Learn. Syst. 23(5): 689-702 (2012) - [j82]Jingjing Gu, Songcan Chen:
Manifold-based canonical correlation analysis for wireless sensor network localization. Wirel. Commun. Mob. Comput. 12(15): 1389-1404 (2012) - 2011
- [j81]Xiaohong Chen, Songcan Chen, Hui Xue:
Large correlation analysis. Appl. Math. Comput. 217(22): 9041-9052 (2011) - [j80]Zhe Wang, Songcan Chen, Daqi Gao:
A novel multi-view classifier based on Nyström approximation. Expert Syst. Appl. 38(9): 11193-11200 (2011) - [j79]Yunyun Wang, Songcan Chen, Hui Xue:
Support Vector Machine incorporated with feature discrimination. Expert Syst. Appl. 38(10): 12506-12513 (2011) - [j78]Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao:
Two-stage nonparametric kernel leaning: From label propagation to kernel propagation. Neurocomputing 74(17): 2725-2733 (2011) - [j77]Zhipeng Xie, Songcan Chen:
SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size. Neurocomputing 74(17): 3663-3676 (2011) - [j76]Hui Xue, Songcan Chen:
Glocalization pursuit support vector machine. Neural Comput. Appl. 20(7): 1043-1053 (2011) - [j75]Bo Yang, Songcan Chen, Xindong Wu:
A structurally motivated framework for discriminant analysis. Pattern Anal. Appl. 14(4): 349-367 (2011) - [j74]Zhe Wang, Songcan Chen, Daqi Gao:
A novel multi-view learning developed from single-view patterns. Pattern Recognit. 44(10-11): 2395-2413 (2011) - [j73]Hui Xue, Songcan Chen, Qiang Yang:
Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier. IEEE Trans. Neural Networks 22(4): 573-587 (2011) - [j72]Jingjing Gu, Songcan Chen, Tingkai Sun:
Localization with Incompletely Paired Data in Complex Wireless Sensor Network. IEEE Trans. Wirel. Commun. 10(9): 2841-2849 (2011) - 2010
- [j71]Enliang Hu, Songcan Chen, Xuesong Yin:
Manifold contraction for semi-supervised classification. Sci. China Inf. Sci. 53(6): 1170-1187 (2010) - [j70]Lishan Qiao, Limei Zhang, Songcan Chen:
An empirical study of two typical locality preserving linear discriminant analysis methods. Neurocomputing 73(10-12): 1587-1594 (2010) - [j69]Bo Yang, Songcan Chen:
Sample-dependent graph construction with application to dimensionality reduction. Neurocomputing 74(1-3): 301-314 (2010) - [j68]Yunyun Wang, Songcan Chen, Hui Xue:
Structure-Embedded AUC-SVM. Int. J. Pattern Recognit. Artif. Intell. 24(5): 667-690 (2010) - [j67]Bo Yang, Songcan Chen:
Disguised Discrimination of Locality-Based Unsupervised Dimensionality Reduction. Int. J. Pattern Recognit. Artif. Intell. 24(7): 1011-1025 (2010) - [j66]Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan:
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization. Neural Process. Lett. 31(3): 159-175 (2010) - [j65]Enliang Hu, Xuesong Yin, Yongming Wang, Songcan Chen:
SSPS: A Semi-Supervised Pattern Shift for Classification. Neural Process. Lett. 31(3): 243-257 (2010) - [j64]Lishan Qiao, Songcan Chen, Xiaoyang Tan:
Sparsity preserving projections with applications to face recognition. Pattern Recognit. 43(1): 331-341 (2010) - [j63]Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang:
Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognit. 43(4): 1320-1333 (2010) - [j62]Limei Zhang, Lishan Qiao, Songcan Chen:
Graph-optimized locality preserving projections. Pattern Recognit. 43(6): 1993-2002 (2010) - [j61]Jundi Ding, RuNing Ma, Jingyu Yang, Songcan Chen:
A tree-structured framework for purifying "complex" clusters with structural roles of individual data. Pattern Recognit. 43(11): 3753-3767 (2010) - [j60]Lishan Qiao, Songcan Chen, Xiaoyang Tan:
Sparsity preserving discriminant analysis for single training image face recognition. Pattern Recognit. Lett. 31(5): 422-429 (2010) - [j59]Weiling Cai, Songcan Chen, Daoqiang Zhang:
A multiobjective simultaneous learning framework for clustering and classification. IEEE Trans. Neural Networks 21(2): 185-200 (2010) - [j58]Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan:
Generalized low-rank approximations of matrices revisited. IEEE Trans. Neural Networks 21(4): 621-632 (2010) - [j57]Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin:
Semisupervised Kernel Matrix Learning by Kernel Propagation. IEEE Trans. Neural Networks 21(11): 1831-1841 (2010) - 2009
- [j56]Hui Xue, Yulian Zhu, Songcan Chen:
Local ridge regression for face recognition. Neurocomputing 72(4-6): 1342-1346 (2009) - [j55]Zhe Wang, Songcan Chen:
Multi-view kernel machine on single-view data. Neurocomputing 72(10-12): 2444-2449 (2009) - [j54]Xubing Yang, Songcan Chen, Bin Chen, Zhisong Pan:
Proximal support vector machine using local information. Neurocomputing 73(1-3): 357-365 (2009) - [j53]Yulian Zhu, Jun Liu, Songcan Chen:
Semi-random subspace method for face recognition. Image Vis. Comput. 27(9): 1358-1370 (2009) - [j52]Hui Xue, Songcan Chen, Qiang Yang:
Discriminatively regularized least-squares classification. Pattern Recognit. 42(1): 93-104 (2009) - [j51]Weiling Cai, Songcan Chen, Daoqiang Zhang:
A simultaneous learning framework for clustering and classification. Pattern Recognit. 42(7): 1248-1259 (2009) - [j50]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Jun Liu:
Face recognition under occlusions and variant expressions with partial similarity. IEEE Trans. Inf. Forensics Secur. 4(2): 217-230 (2009) - 2008
- [j49]Zhe Wang, Songcan Chen, Tingkai Sun:
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 30(2): 348-353 (2008) - [j48]Jun Liu, Songcan Chen, Xiaoyang Tan:
A study on three linear discriminant analysis based methods in small sample size problem. Pattern Recognit. 41(1): 102-116 (2008) - [j47]Jun Liu, Songcan Chen, Xiaoyang Tan:
Fractional order singular value decomposition representation for face recognition. Pattern Recognit. 41(1): 378-395 (2008) - [j46]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Constraint Score: A new filter method for feature selection with pairwise constraints. Pattern Recognit. 41(5): 1440-1451 (2008) - [j45]Hui Xue, Songcan Chen, Xiaoqin Zeng:
Classifier learning with a new locality regularization method. Pattern Recognit. 41(5): 1479-1490 (2008) - [j44]Zhe Wang, Songcan Chen:
Matrix-pattern-oriented least squares support vector classifier with AdaBoost. Pattern Recognit. Lett. 29(6): 745-753 (2008) - [j43]Jundi Ding, RuNing Ma, Songcan Chen:
A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation. IEEE Trans. Image Process. 17(2): 204-216 (2008) - [j42]Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang:
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. IEEE Trans. Neural Networks 19(5): 758-769 (2008) - 2007
- [j41]Tingkai Sun, Songcan Chen:
Class label versus sample label-based CCA. Appl. Math. Comput. 185(1): 272-283 (2007) - [j40]Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang:
Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1265-1278 (2007) - [j39]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Entropy-Inspired Competitive Clustering Algorithms. Int. J. Softw. Informatics 1(1): 67-84 (2007) - [j38]Tingkai Sun, Songcan Chen:
Locality preserving CCA with applications to data visualization and pose estimation. Image Vis. Comput. 25(5): 531-543 (2007) - [j37]Zhe Wang, Songcan Chen:
New Least Squares Support Vector Machines Based on Matrix Patterns. Neural Process. Lett. 26(1): 41-56 (2007) - [j36]Weiling Cai, Songcan Chen, Daoqiang Zhang:
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognit. 40(3): 825-838 (2007) - [j35]Songcan Chen, Zhe Wang, Yongjun Tian:
Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning. Pattern Recognit. 40(5): 1533-1543 (2007) - [j34]Weiling Cai, Songcan Chen, Daoqiang Zhang:
Robust fuzzy relational classifier incorporating the soft class labels. Pattern Recognit. Lett. 28(16): 2250-2263 (2007) - [j33]Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang:
Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". IEEE Trans. Neural Networks 18(6): 1862-1864 (2007) - 2006
- [j32]Xiaoyang Tan, Jun Liu, Songcan Chen:
Sub-intrapersonal space analysis for face recognition. Neurocomputing 69(13-15): 1796-1801 (2006) - [j31]Qun Dai, Songcan Chen:
Integrating the improved CBP model with kernel SOM. Neurocomputing 69(16-18): 2208-2216 (2006) - [j30]Songcan Chen, Daohong Li:
Image binarization focusing on objects. Neurocomputing 69(16-18): 2411-2415 (2006) - [j29]Jun Liu, Songcan Chen:
Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem. Image Vis. Comput. 24(3): 249-262 (2006) - [j28]Lei Chen, Songcan Chen:
Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition. Neural Process. Lett. 24(1): 67-80 (2006) - [j27]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognit. 39(1): 133-135 (2006) - [j26]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Diagonal principal component analysis for face recognition. Pattern Recognit. 39(1): 140-142 (2006) - [j25]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Face recognition from a single image per person: A survey. Pattern Recognit. 39(9): 1725-1745 (2006) - [j24]Jun Liu, Songcan Chen:
Non-iterative generalized low rank approximation of matrices. Pattern Recognit. Lett. 27(9): 1002-1008 (2006) - 2005
- [j23]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
A new face recognition method based on SVD perturbation for single example image per person. Appl. Math. Comput. 163(2): 895-907 (2005) - [j22]Keren Tan, Songcan Chen:
Adaptively weighted sub-pattern PCA for face recognition. Neurocomputing 64: 505-511 (2005) - [j21]Songcan Chen, Min Wang:
Seeking multi-thresholds directly from support vectors for image segmentation. Neurocomputing 67: 335-344 (2005) - [j20]Songcan Chen, Lei Chen, Zhi-Hua Zhou:
A unified SWSI-KAMs framework and performance evaluation on face recognition. Neurocomputing 68: 54-69 (2005) - [j19]Daoqiang Zhang, Songcan Chen:
Fast image compression using matrix K-L transform. Neurocomputing 68: 258-266 (2005) - [j18]Songcan Chen, Tingkai Sun:
Class-information-incorporated principal component analysis. Neurocomputing 69(1-3): 216-223 (2005) - [j17]Songcan Chen, Qun Dai:
Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction. Neural Comput. Appl. 14(3): 250-255 (2005) - [j16]Daoqiang Zhang, Songcan Chen, Keren Tan:
Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures. Neural Process. Lett. 21(1): 45-51 (2005) - [j15]Qun Dai, Songcan Chen:
Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction. Neural Process. Lett. 21(2): 95-107 (2005) - [j14]Songcan Chen, Daohong Li:
Modified linear discriminant analysis. Pattern Recognit. 38(3): 441-443 (2005) - [j13]Songcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang:
Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognit. Lett. 26(8): 1157-1167 (2005) - [j12]Min Wang, Songcan Chen:
Enhanced FMAM based on empirical kernel map. IEEE Trans. Neural Networks 16(3): 557-564 (2005) - [j11]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble. IEEE Trans. Neural Networks 16(4): 875-886 (2005) - 2004
- [j10]Daoqiang Zhang, Songcan Chen:
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation. Artif. Intell. Medicine 32(1): 37-50 (2004) - [j9]Daoqiang Zhang, Songcan Chen:
A comment on "Alternative c-means clustering algorithms". Pattern Recognit. 37(2): 173-174 (2004) - [j8]Songcan Chen, Yulian Zhu:
Subpattern-based principle component analysis. Pattern Recognit. 37(5): 1081-1083 (2004) - [j7]Songcan Chen, Xubing Yang:
Alternative linear discriminant classifier. Pattern Recognit. 37(7): 1545-1547 (2004) - [j6]Songcan Chen, Jun Liu, Zhi-Hua Zhou:
Making FLDA applicable to face recognition with one sample per person. Pattern Recognit. 37(7): 1553-1555 (2004) - [j5]Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou:
Enhanced (PC)2 A for face recognition with one training image per person. Pattern Recognit. Lett. 25(10): 1173-1181 (2004) - [j4]Songcan Chen, Daoqiang Zhang:
Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Trans. Syst. Man Cybern. Part B 34(4): 1907-1916 (2004) - 2003
- [j3]Hongqiang Lu, Yizhao Wu, Songcan Chen:
A new method based on SOM network to generate coarse meshes for overlapping unstructured multigrid algorithm. Appl. Math. Comput. 140(2-3): 353-360 (2003) - [j2]Daoqiang Zhang, Songcan Chen:
Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm. Neural Process. Lett. 18(3): 155-162 (2003) - [j1]Qun Dai, Songcan Chen, Benzhu Zhang:
Improved CBP Neural Network Model with Applications in Time Series Prediction. Neural Process. Lett. 18(3): 217-231 (2003)
Conference and Workshop Papers
- 2024
- [c84]Meng Cao, Songcan Chen:
Mixup-Induced Domain Extrapolation for Domain Generalization. AAAI 2024: 11168-11176 - [c83]Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen:
All Beings Are Equal in Open Set Recognition. AAAI 2024: 13446-13454 - [c82]Jiexi Liu, Songcan Chen:
TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning. AAAI 2024: 13918-13926 - [c81]Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen:
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning. AAAI 2024: 15438-15446 - [c80]Feihu Huang, Xinrui Wang, Junyi Li, Songcan Chen:
Adaptive Federated Minimax Optimization with Lower Complexities. AISTATS 2024: 4663-4671 - [c79]Xiang Li, Songcan Chen:
No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning. IJCAI 2024: 4470-4478 - [c78]Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen:
Dynamic against Dynamic: An Open-Set Self-Learning Framework. IJCAI 2024: 5307-5315 - 2023
- [c77]Ye Li, Songcan Chen, Sheng-Jun Huang:
Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks. AAAI 2023: 8692-8700 - [c76]Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li:
Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery. ICCV 2023: 12923-12933 - [c75]Chuanxing Geng, Songcan Chen:
Collective Decision for Open Set Recognition (Extended Abstract). ICDE 2023: 3773-3774 - [c74]Siyin Huang, Shaoyuan Li, Songcan Chen:
Personalized Federated Semi-Supervised Learning with Black-Box Models. ICDM 2023: 1061-1066 - [c73]Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen:
ALL-E: Aesthetics-guided Low-light Image Enhancement. IJCAI 2023: 1062-1070 - [c72]Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen:
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. NeurIPS 2023 - 2022
- [c71]Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen:
With False Friends Like These, Who Can Notice Mistakes? AAAI 2022: 8458-8466 - [c70]Aiyang Han, Songcan Chen:
Universum-Inspired Supervised Contrastive Learning. APWeb/WAIM (2) 2022: 459-473 - [c69]Dan Li, Songcan Chen:
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree. ICPR 2022: 4808-4814 - [c68]Jiaqiang Zhang, Senzhang Wang, Songcan Chen:
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. IJCAI 2022: 2376-2382 - [c67]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 - 2021
- [c66]Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang:
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. AAAI 2021: 9161-9169 - [c65]Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. NeurIPS 2021: 16209-16225 - [c64]Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang:
Sign-aware Perturbations Regression. SDM 2021: 396-404 - 2020
- [c63]Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang:
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. AAAI 2020: 4957-4964 - [c62]Feihu Huang, Lue Tao, Songcan Chen:
Accelerated Stochastic Gradient-free and Projection-free Methods. ICML 2020: 4519-4530 - 2019
- [c61]Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI 2019: 1503-1510 - [c60]Menglei Hu, Songcan Chen:
One-Pass Incomplete Multi-View Clustering. AAAI 2019: 3838-3845 - [c59]Yunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue:
Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation. ICDM 2019: 1342-1347 - [c58]Feihu Huang, Songcan Chen, Heng Huang:
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. ICML 2019: 2839-2848 - [c57]Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang:
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. IJCAI 2019: 2549-2555 - [c56]Jiexi Liu, Songcan Chen:
Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks. PRICAI (3) 2019: 636-649 - 2018
- [c55]Ping Li, Songcan Chen:
Feature-correlation-aware Gaussian Process Latent Variable Model. ACML 2018: 33-48 - [c54]Menglei Hu, Songcan Chen:
Doubly Aligned Incomplete Multi-view Clustering. IJCAI 2018: 2262-2268 - [c53]Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang:
New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. KDD 2018: 1475-1484 - [c52]Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen:
Active Feature Acquisition with Supervised Matrix Completion. KDD 2018: 1571-1579 - 2017
- [c51]Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen:
Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification. AAAI 2017: 1374-1381 - [c50]Xianzhong Long, Songcan Chen:
Multi-Features Fusion Based Face Recognition. ICONIP (6) 2017: 540-549 - [c49]Sheng-Jun Huang, Nengneng Gao, Songcan Chen:
Multi-instance multi-label active learning. IJCAI 2017: 1886-1892 - 2016
- [c48]Qing Tian, Songcan Chen:
Cross-heterogeneous-database age estimation with co-representation among them. ICPR 2016: 1333-1338 - [c47]Sheng-Jun Huang, Songcan Chen:
Transfer Learning with Active Queries from Source Domain. IJCAI 2016: 1592-1598 - 2015
- [c46]Jiwen Lu, Junlin Hu, Venice Erin Liong, Xiuzhuang Zhou, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, Shahar Mahpod, Yosi Keller, Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt, Modesto Castrillón Santana, Javier Lorenzo-Navarro:
The FG 2015 Kinship Verification in the Wild Evaluation. FG 2015: 1-7 - [c45]Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou:
Multi-Label Active Learning: Query Type Matters. IJCAI 2015: 946-952 - [c44]Xiao-Yuan Jing, Qian Liu, Fei Wu, Baowen Xu, Yang-Ping Zhu, Songcan Chen:
Web Page Classification Based on Uncorrelated Semi-Supervised Intra-View and Inter-View Manifold Discriminant Feature Extraction. IJCAI 2015: 2255-2261 - [c43]Xiaoqian Qin, Xiaoyang Tan, Songcan Chen:
Tri-subjects kinship verification: Understanding the core of a family. MVA 2015: 580-583 - 2014
- [c42]Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang:
Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. MLINI@NIPS 2014: 51-59 - 2013
- [c41]Yun Li, Shasha Huang, Songcan Chen, Jennie Si:
Stable L2-Regularized Ensemble Feature Weighting. MCS 2013: 167-178 - 2012
- [c40]Yun Li, Su-Yan Gao, Songcan Chen:
Ensemble Feature Weighting Based on Local Learning and Diversity. AAAI 2012: 1019-1025 - [c39]Fengyi Song, Xiaoyang Tan, Songcan Chen:
Exploiting relationship between attributes for improved face verification. BMVC 2012: 1-11 - [c38]Hui Xue, Songcan Chen, Jijian Huang:
Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. ICPR 2012: 497-500 - [c37]Xue Liu, Xiaoyang Tan, Songcan Chen:
Eyes Closeness Detection Using Appearance Based Methods. Intelligent Information Processing 2012: 398-408 - [c36]Mingxia Liu, Songcan Chen, Daoqiang Zhang:
Learning Attribute Relation in Attribute-Based Zero-Shot Classification. IScIDE 2012: 514-521 - 2011
- [c35]Enliang Hu, Bo Wang, Songcan Chen:
BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent. ICML 2011: 209-216 - [c34]Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen:
Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. MLMI 2011: 241-248 - [c33]Bo Wang, Zhaonan Li, Jie Tang, Kuo Zhang, Songcan Chen, Liyun Ru:
Learning to Advertise: How Many Ads Are Enough? PAKDD (2) 2011: 506-518 - 2010
- [c32]Shuo Xiang, Songcan Chen, Lishan Qiao:
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification. PRICAI 2010: 304-314 - 2009
- [c31]Jundi Ding, Jialie Shen, HweeHwa Pang, Songcan Chen, Jing-Yu Yang:
Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes. ACCV (3) 2009: 1-10 - [c30]Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, Yanzhu Liu:
Heterogeneous cross domain ranking in latent space. CIKM 2009: 987-996 - [c29]Tingkai Sun, Songcan Chen, Jing-Yu Yang, Xuelei Hu, Pengfei Shi:
Discriminative Canonical Correlation Analysis with Missing Samples. CSIE (6) 2009: 95-99 - [c28]Zhe Wang, Songcan Chen, Zhisong Pan, Xuelei Ni:
Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping. CSIE (3) 2009: 689-693 - [c27]Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen:
Enhanced Pictorial Structures for precise eye localization under incontrolled conditions. CVPR 2009: 1621-1628 - [c26]Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye:
Learning the Optimal Neighborhood Kernel for Classification. IJCAI 2009: 1144-1149 - [c25]Zhe Wang, Songcan Chen, Daqi Gao:
A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness. ISNN (4) 2009: 441-449 - 2008
- [c24]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang:
Constraint Projections for Ensemble Learning. AAAI 2008: 758-763 - [c23]Tingkai Sun, Songcan Chen, Jing-Yu Yang, Pengfei Shi:
A Novel Method of Combined Feature Extraction for Recognition. ICDM 2008: 1043-1048 - [c22]Jundi Ding, RuNing Ma, Songcan Chen, Jing-Yu Yang:
Clustering Using Normalized Path-Based Metric. ISNN (2) 2008: 57-66 - [c21]Hui Xue, Songcan Chen, Qiang Yang:
Structural Support Vector Machine. ISNN (1) 2008: 501-511 - 2007
- [c20]Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan:
Single Image Subspace for Face Recognition. AMFG 2007: 205-219 - [c19]Ming Yang, Songcan Chen, Xubing Yang:
A Novel Approach of Rough Set-Based Attribute Reduction Using Fuzzy Discernibility Matrix. FSKD (3) 2007: 96-101 - [c18]Min Wang, Songcan Chen:
Exponential Bidirectional Associative Memory Based on Small-world Architecture. ICNC (1) 2007: 391-397 - [c17]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Semi-Supervised Dimensionality Reduction. SDM 2007: 629-634 - 2006
- [c16]Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou:
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion. CVPR (1) 2006: 138-145 - [c15]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM 2006: 1178-1182 - [c14]Jundi Ding, Songcan Chen, RuNing Ma, Bo Wang:
A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation. ICONIP (2) 2006: 369-378 - [c13]Xiaoyang Tan, Jun Liu, Songcan Chen:
Recognition from a Single Sample per Person with Multiple SOM Fusion. ISNN (2) 2006: 128-133 - [c12]Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Non-negative Matrix Factorization on Kernels. PRICAI 2006: 404-412 - [c11]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. SSPR/SPR 2006: 889-897 - 2005
- [c10]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. AMFG 2005: 350-363 - [c9]Jun Liu, Songcan Chen:
Resampling LDA/QR and PCA+LDA for Face Recognition. Australian Conference on Artificial Intelligence 2005: 1221-1224 - [c8]Xiaoyang Tan, Jun Liu, Songcan Chen, Fuyan Zhang:
Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image. IDEAL 2005: 351-358 - [c7]Daoqiang Zhang, Songcan Chen, Jun Liu:
Representing Image Matrices: Eigenimages Versus Eigenvectors. ISNN (2) 2005: 659-664 - [c6]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Feature Selection for High Dimensional Face Image Using Self-organizing Maps. PAKDD 2005: 500-504 - 2004
- [c5]Daoqiang Zhang, Keren Tan, Songcan Chen:
Semi-supervised Kernel-Based Fuzzy C-Means. ICONIP 2004: 1229-1234 - [c4]Keren Tan, Songcan Chen, Daoqiang Zhang:
Robust Image Denoising Using Kernel-Induced Measures. ICPR (4) 2004: 685-688 - [c3]Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou:
Fuzzy-Kernel Learning Vector Quantization. ISNN (1) 2004: 180-185 - [c2]Jun Liu, Songcan Chen, Zhi-Hua Zhou:
Progressive Principal Component Analysis. ISNN (1) 2004: 768-773 - [c1]Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang:
Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face. ISNN (1) 2004: 858-863
Editorship
- 2017
- [e1]Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Min-Ling Zhang:
Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings. Lecture Notes in Computer Science 10585, Springer 2017, ISBN 978-3-319-68934-0 [contents]
Informal and Other Publications
- 2024
- [i65]Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen:
All Beings Are Equal in Open Set Recognition. CoRR abs/2401.17654 (2024) - [i64]Dong Liang, Zhengyan Xu, Ling Li, Mingqiang Wei, Songcan Chen:
PIE: Physics-inspired Low-light Enhancement. CoRR abs/2404.04586 (2024) - [i63]Haifeng Yang, Chuanxing Geng, Pong C. Yuen, Songcan Chen:
Dynamic Against Dynamic: An Open-set Self-learning Framework. CoRR abs/2404.17830 (2024) - [i62]Xiang Li, Jiexi Liu, Xinrui Wang, Songcan Chen:
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends. CoRR abs/2406.06119 (2024) - [i61]Dong Liang, Yue Sun, Yun Du, Songcan Chen, Sheng-Jun Huang:
Relative Difficulty Distillation for Semantic Segmentation. CoRR abs/2407.03719 (2024) - [i60]Jiaqiang Zhang, Songcan Chen:
Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift. CoRR abs/2407.16726 (2024) - [i59]Enhao Zhang, Chaohua Li, Chuanxing Geng, Songcan Chen:
All-around Neural Collapse for Imbalanced Classification. CoRR abs/2408.07253 (2024) - [i58]Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shaoyuan Li, Songcan Chen:
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning. CoRR abs/2409.19245 (2024) - 2023
- [i57]Xin Li, Mingqiang Wei, Songcan Chen:
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information. CoRR abs/2301.12744 (2023) - [i56]Xiang Li, Xinrui Wang, Songcan Chen:
Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels. CoRR abs/2302.14695 (2023) - [i55]Ye Li, Songcan Chen, Sheng-Jun Huang:
Implicit Stochastic Gradient Descent for Training Physics-informed Neural Networks. CoRR abs/2303.01767 (2023) - [i54]Feihu Huang, Songcan Chen:
Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems. CoRR abs/2304.10902 (2023) - [i53]Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen:
ALL-E: Aesthetics-guided Low-light Image Enhancement. CoRR abs/2304.14610 (2023) - [i52]Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shengjun Huang, Songcan Chen, Shaoyuan Li:
Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning. CoRR abs/2305.04203 (2023) - [i51]Xiang Li, Songcan Chen:
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning. CoRR abs/2308.07047 (2023) - [i50]Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li:
Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery. CoRR abs/2308.16460 (2023) - [i49]Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen:
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends. CoRR abs/2310.04078 (2023) - [i48]Jiexi Liu, Songcan Chen:
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning. CoRR abs/2312.15709 (2023) - 2022
- [i47]Quan Feng, Songcan Chen:
Learning Multi-Tasks with Inconsistent Labels by using Auxiliary Big Task. CoRR abs/2201.02305 (2022) - [i46]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR abs/2201.13329 (2022) - [i45]Zhongchen Ma, Songcan Chen:
A Similarity-based Framework for Classification Task. CoRR abs/2203.02669 (2022) - [i44]Weikai Li, Meng Cao, Songcan Chen:
Jacobian Norm for Unsupervised Source-Free Domain Adaptation. CoRR abs/2204.03467 (2022) - [i43]Quan Feng, Qingyuan Wu, Jiayu Yao, Songcan Chen:
Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts. CoRR abs/2204.05248 (2022) - [i42]Aiyang Han, Songcan Chen:
Universum-inspired Supervised Contrastive Learning. CoRR abs/2204.10695 (2022) - [i41]Dan Li, Songcan Chen:
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree. CoRR abs/2204.11011 (2022) - [i40]Chuanxing Geng, Aiyang Han, Songcan Chen:
View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering. CoRR abs/2205.02507 (2022) - [i39]Jiaqiang Zhang, Senzhang Wang, Songcan Chen:
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. CoRR abs/2205.04816 (2022) - [i38]Yunyun Wang, Weiwen Zheng, Songcan Chen:
Dual-Correction Adaptation Network for Noisy Knowledge Transfer. CoRR abs/2207.04423 (2022) - [i37]Yunyun Wang, Yao Liu, Songcan Chen:
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox. CoRR abs/2207.04494 (2022) - [i36]Enhao Zhang, Chuanxing Geng, Songcan Chen:
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition. CoRR abs/2207.12808 (2022) - [i35]Zhongchen Ma, Lisha Li, Qirong Mao, Songcan Chen:
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels. CoRR abs/2209.01314 (2022) - 2021
- [i34]Quan Feng, Songcan Chen:
Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs. CoRR abs/2101.12431 (2021) - [i33]Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Provable Defense Against Delusive Poisoning. CoRR abs/2102.04716 (2021) - [i32]Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang:
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. CoRR abs/2103.14824 (2021) - [i31]Yunxia Lin, Songcan Chen:
Rectified Euler k-means and Beyond. CoRR abs/2108.03081 (2021) - [i30]Weikai Li, Songcan Chen:
Partial Domain Adaptation without Domain Alignment. CoRR abs/2108.12867 (2021) - 2020
- [i29]Chuanxing Geng, Zhenghao Tan, Songcan Chen:
A Multi-view Perspective of Self-supervised Learning. CoRR abs/2003.00877 (2020) - [i28]Qing Tian, Chuang Ma, Meng Cao, Songcan Chen:
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously. CoRR abs/2003.08051 (2020) - [i27]Zhongchen Ma, Songcan Chen:
Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels. CoRR abs/2004.03951 (2020) - [i26]Yunxia Lin, Songcan Chen:
A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. CoRR abs/2004.12756 (2020) - [i25]Xiang Li, Songcan Chen:
A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label Learning. CoRR abs/2005.00976 (2020) - [i24]Feihu Huang, Lue Tao, Songcan Chen:
Accelerated Stochastic Gradient-free and Projection-free Methods. CoRR abs/2007.12625 (2020) - [i23]Feihu Huang, Songcan Chen, Heng Huang:
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. CoRR abs/2008.01296 (2020) - [i22]Weikai Li, Songcan Chen:
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces. CoRR abs/2009.00520 (2020) - [i21]Yunxia Lin, Songcan Chen:
Convex Subspace Clustering by Adaptive Block Diagonal Representation. CoRR abs/2009.09386 (2020) - [i20]Weikai Li, Chuanxing Geng, Songcan Chen:
Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection. CoRR abs/2012.13309 (2020) - [i19]Lue Tao, Songcan Chen:
With False Friends Like These, Who Can Have Self-Knowledge? CoRR abs/2012.14738 (2020) - 2019
- [i18]Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. CoRR abs/1902.06158 (2019) - [i17]Menglei Hu, Songcan Chen:
One-Pass Incomplete Multi-view Clustering. CoRR abs/1903.00637 (2019) - [i16]Menglei Hu, Songcan Chen:
Doubly Aligned Incomplete Multi-view Clustering. CoRR abs/1903.02785 (2019) - [i15]Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang:
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. CoRR abs/1905.12729 (2019) - [i14]Chuanxing Geng, Lue Tao, Songcan Chen:
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning. CoRR abs/1908.03983 (2019) - 2018
- [i13]Feihu Huang, Songcan Chen:
Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization. CoRR abs/1802.03284 (2018) - [i12]Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen:
Active Feature Acquisition with Supervised Matrix Completion. CoRR abs/1802.05380 (2018) - [i11]Chuanxing Geng, Songcan Chen:
Hierarchical Dirichlet Process-based Open Set Recognition. CoRR abs/1806.11258 (2018) - [i10]Huanhuan Yu, Menglei Hu, Songcan Chen:
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories. CoRR abs/1809.00852 (2018) - [i9]Chuanxing Geng, Sheng-Jun Huang, Songcan Chen:
Recent Advances in Open Set Recognition: A Survey. CoRR abs/1811.08581 (2018) - 2016
- [i8]Qing Tian, Songcan Chen, Xiaoyang Tan:
A Unified Gender-Aware Age Estimation. CoRR abs/1609.03815 (2016) - [i7]Qing Tian, Songcan Chen:
Joint Gender Classification and Age Estimation by Nearly Orthogonalizing Their Semantic Spaces. CoRR abs/1609.04116 (2016) - 2015
- [i6]Xiaoqian Qin, Xiaoyang Tan, Songcan Chen:
Tri-Subject Kinship Verification: Understanding the Core of A Family. CoRR abs/1501.02555 (2015) - [i5]Liping Wang, Songcan Chen:
Joint Representation Classification for Collective Face Recognition. CoRR abs/1505.04617 (2015) - 2014
- [i4]Li Zhang, Xuejun Liu, Songcan Chen:
Detecting Differential Expression from RNA-seq Data with Expression Measurement Uncertainty. CoRR abs/1411.4108 (2014) - 2013
- [i3]Liping Wang, Songcan Chen:
$l_{2,p}$ Matrix Norm and Its Application in Feature Selection. CoRR abs/1303.3987 (2013) - 2012
- [i2]Qiang Qian, Songcan Chen:
Metric Learning across Heterogeneous Domains by Respectively Aligning Both Priors and Posteriors. CoRR abs/1208.1829 (2012) - [i1]Guangxu Guo, Songcan Chen:
Margin Distribution Controlled Boosting. CoRR abs/1208.1846 (2012)
Coauthor Index
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