Songcan Chen

According to our database, Songcan Chen authored at least 299 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards adaptive unknown authentication for universal domain adaptation by classifier paradox.

Yunyun Wang, Yao Liu, Songcan Chen

Mach. Learn., April, 2024

Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation.

Qing Tian, Chuang Ma, Meng Cao, Jun Wan, Zhen Lei, Songcan Chen

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning.

Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shao-Yuan Li, Sheng-Jun Huang, Songcan Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning.

Jiexi Liu, Songcan Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

All Beings Are Equal in Open Set Recognition.

Chaohua Li, Enhao Zhang, Chuanxing Geng, Songcan Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Mixup-Induced Domain Extrapolation for Domain Generalization.

Meng Cao, Songcan Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Convex Subspace Clustering by Adaptive Block Diagonal Representation.

Yunxia Lin, Songcan Chen

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Structure-Aware Subspace Clustering.

Simin Kou, Xuesong Yin, Yigang Wang, Songcan Chen, Tieming Chen, Zizhao Wu

IEEE Trans. Knowl. Data Eng., October, 2023

Learning multi-tasks with inconsistent labels by using auxiliary big task.

Quan Feng, Songcan Chen

Frontiers Comput. Sci., October, 2023

Multiplane Convex Proximal Support Vector Machine.

Chuanxing Geng, Songcan Chen

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Partial Domain Adaptation Without Domain Alignment.

Weikai Li, Songcan Chen

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

TIToK: A solution for bi-imbalanced unsupervised domain adaptation.

Yunyun Wang, Quchuan Chen, Yao Liu, Weikai Li, Songcan Chen

Neural Networks, July, 2023

Human Collective Intelligence Inspired Multi-View Representation Learning - Enabling View Communication by Simulating Human Communication Mechanism.

Xiaodong Jia, Xiao-Yuan Jing, Qixing Sun, Songcan Chen, Bo Du, David Zhang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

A Similarity-Based Framework for Classification Task.

Zhongchen Ma, Songcan Chen

IEEE Trans. Knowl. Data Eng., May, 2023

Rectified Euler k-means and beyond.

Yunxia Lin, Songcan Chen

Pattern Recognit., May, 2023

Universum-Inspired Supervised Contrastive Learning.

Aiyang Han, Chuanxing Geng, Songcan Chen

IEEE Trans. Image Process., 2023

No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning.

Xiang Li, Songcan Chen

CoRR, 2023

Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning.

Wenhai Wan, Xinrui Wang, Ming-Kun Xie, Shengjun Huang, Songcan Chen, Shaoyuan Li

CoRR, 2023

Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems.

Feihu Huang, Songcan Chen

CoRR, 2023

Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels.

Xiang Li, Xinrui Wang, Songcan Chen

CoRR, 2023

PointSmile: Point Self-supervised Learning via Curriculum Mutual Information.

Xin Li, Mingqiang Wei, Songcan Chen

CoRR, 2023

Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends.

Xinrui Wang, Wenhai Wan, Chuanxing Geng, Shaoyuan Li, Songcan Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ALL-E: Aesthetics-guided Low-light Image Enhancement.

Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Personalized Federated Semi-Supervised Learning with Black-Box Models.

Siyin Huang, Shaoyuan Li, Songcan Chen

Proceedings of the IEEE International Conference on Data Mining, 2023

Collective Decision for Open Set Recognition (Extended Abstract).

Chuanxing Geng, Songcan Chen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery.

Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks.

Ye Li, Songcan Chen, Sheng-Jun Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Collective Decision for Open Set Recognition.

Chuanxing Geng, Songcan Chen

IEEE Trans. Knowl. Data Eng., 2022

Heterogeneous Domain Adaptation With Structure and Classification Space Alignment.

Qing Tian, Heyang Sun, Chuang Ma, Meng Cao, Yi Chu, Songcan Chen

IEEE Trans. Cybern., 2022

A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition.

Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Hujun Yin

IEEE Trans. Cybern., 2022

Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces.

Qing Tian, Yanan Zhu, Heyang Sun, Songcan Chen, Hujun Yin

IEEE Trans. Circuits Syst. Video Technol., 2022

Unsupervised domain adaptation with progressive adaptation of subspaces.

Weikai Li, Songcan Chen

Pattern Recognit., 2022

A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning.

Xiang Li, Songcan Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Improving deep label noise learning with dual active label correction.

Shaoyuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen

Mach. Learn., 2022

Self-corrected unsupervised domain adaptation.

Yunyun Wang, Chao Wang, Hui Xue, Songcan Chen

Frontiers Comput. Sci., 2022

On the learning dynamics of two-layer quadratic neural networks for understanding deep learning.

Zhenghao Tan, Songcan Chen

Frontiers Comput. Sci., 2022

Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels.

Zhongchen Ma, Lisha Li, Qirong Mao, Songcan Chen

CoRR, 2022

Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition.

Enhao Zhang, Chuanxing Geng, Songcan Chen

CoRR, 2022

Dual-Correction Adaptation Network for Noisy Knowledge Transfer.

Yunyun Wang, Weiwen Zheng, Songcan Chen

CoRR, 2022

View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering.

Chuanxing Geng, Aiyang Han, Songcan Chen

CoRR, 2022

Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts.

Quan Feng, Qingyuan Wu, Jiayu Yao, Songcan Chen

CoRR, 2022

Jacobian Norm for Unsupervised Source-Free Domain Adaptation.

Weikai Li, Meng Cao, Songcan Chen

CoRR, 2022

Can Adversarial Training Be Manipulated By Non-Robust Features?

Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks.

Jiaqiang Zhang, Senzhang Wang, Songcan Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree.

Dan Li, Songcan Chen

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Universum-Inspired Supervised Contrastive Learning.

Aiyang Han, Songcan Chen

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

With False Friends Like These, Who Can Notice Mistakes?

Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Structure-Exploiting Discriminative Ordinal Multioutput Regression.

Qing Tian, Meng Cao, Songcan Chen, Hujun Yin

IEEE Trans. Neural Networks Learn. Syst., 2021

A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering.

Yunxia Lin, Songcan Chen

IEEE Trans. Fuzzy Syst., 2021

Expand globally, shrink locally: Discriminant multi-label learning with missing labels.

Zhongchen Ma, Songcan Chen

Pattern Recognit., 2021

Semi-Supervised Multi-View Deep Discriminant Representation Learning.

Xiaodong Jia, Xiao-Yuan Jing, Xiaoke Zhu, Songcan Chen, Bo Du, Ziyun Cai, Zhenyu He, Dong Yue

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Recent Advances in Open Set Recognition: A Survey.

Chuanxing Geng, Sheng-Jun Huang, Songcan Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2021

A comprehensive perspective of contrastive self-supervised learning.

Songcan Chen, Chuanxing Geng

Frontiers Comput. Sci., 2021

Provable Defense Against Delusive Poisoning.

Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

CoRR, 2021

Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs.

Quan Feng, Songcan Chen

CoRR, 2021

Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension.

Di Ma, Songcan Chen

Sci. China Inf. Sci., 2021

Crowdsourcing aggregation with deep Bayesian learning.

Shaoyuan Li, Sheng-Jun Huang, Songcan Chen

Sci. China Inf. Sci., 2021

Sign-aware Perturbations Regression.

Zhongnian Li, Tao Zhang, Wei Shao, Songcan Chen, Daoqiang Zhang

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training.

Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.

Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data.

Qing Tian, Wenqiang Zhang, Meng Cao, Liping Wang, Songcan Chen, Hujun Yin

ACM Trans. Intell. Syst. Technol., 2020

Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering.

Ping Li, Songcan Chen

IEEE Trans. Cybern., 2020

Growing neural gas with random projection method for high-dimensional data stream clustering.

Yingwen Zhu, Songcan Chen

Soft Comput., 2020

Robust convex clustering.

Zhenzhen Quan, Songcan Chen

Soft Comput., 2020

Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes.

Chuanxing Geng, Lue Tao, Songcan Chen

Pattern Recognit., 2020

Soft large margin clustering for unsupervised domain adaptation.

Yunyun Wang, Lingli Nie, Yun Li, Songcan Chen

Knowl. Based Syst., 2020

Discrimination-Aware Domain Adversarial Neural Network.

Yunyun Wang, Jian-Min Gu, Chao Wang, Songcan Chen, Hui Xue

J. Comput. Sci. Technol., 2020

Distribution agnostic Bayesian matching pursuit based on the exponential embedded family.

Di Ma, Songcan Chen

Neurocomputing, 2020

Robust nonnegative matrix factorization with structure regularization.

Qi Huang, Xuesong Yin, Songcan Chen, Yigang Wang, Bowen Chen

Neurocomputing, 2020

Bayesian compressive principal component analysis.

Di Ma, Songcan Chen

Frontiers Comput. Sci., 2020

Ordinal factorization machine with hierarchical sparsity.

Shaocheng Guo, Songcan Chen, Qing Tian

Frontiers Comput. Sci., 2020

With False Friends Like These, Who Can Have Self-Knowledge?

Lue Tao, Songcan Chen

CoRR, 2020

Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection.

Weikai Li, Chuanxing Geng, Songcan Chen

CoRR, 2020

Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels.

Zhongchen Ma, Songcan Chen

CoRR, 2020

Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously.

Qing Tian, Chuang Ma, Meng Cao, Songcan Chen

CoRR, 2020

A Multi-view Perspective of Self-supervised Learning.

Chuanxing Geng, Zhenghao Tan, Songcan Chen

CoRR, 2020

Accelerated Stochastic Gradient-free and Projection-free Methods.

Feihu Huang, Lue Tao, Songcan Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning.

Zhao-Yang Liu, Shaoyuan Li, Songcan Chen, Yao Hu, Sheng-Jun Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A convex formulation for multiple ordinal output classification.

Zhongchen Ma, Songcan Chen

Pattern Recognit., 2019

Gaussian process approach for metric learning.

Ping Li, Songcan Chen

Pattern Recognit., 2019

A Primal Framework for Indefinite Kernel Learning.

Hui Xue, Lin Wang, Songcan Chen, Yunyun Wang

Neural Process. Lett., 2019

Relationships Self-Learning Based Gender-Aware Age Estimation.

Qing Tian, Meng Cao, Songcan Chen, Hujun Yin

Neural Process. Lett., 2019

2D compressed learning: support matrix machine with bilinear random projections.

Di Ma, Songcan Chen

Mach. Learn., 2019

Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning.

Chuanxing Geng, Lue Tao, Songcan Chen

CoRR, 2019

Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks.

Jiexi Liu, Songcan Chen

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization.

Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization.

Feihu Huang, Songcan Chen, Heng Huang

Proceedings of the 36th International Conference on Machine Learning, 2019

Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation.

Yunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization.

Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

One-Pass Incomplete Multi-View Clustering.

Menglei Hu, Songcan Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Joint Estimation of Multiple Conditional Gaussian Graphical Models.

Feihu Huang, Songcan Chen, Sheng-Jun Huang

IEEE Trans. Neural Networks Learn. Syst., 2018

Metric Learning-Guided Least Squares Classifier Learning.

Chuanxing Geng, Songcan Chen

IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas.

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

IEEE Trans. Medical Imaging, 2018

Learning Dynamic Conditional Gaussian Graphical Models.

Feihu Huang, Songcan Chen

IEEE Trans. Knowl. Data Eng., 2018

Heterogeneous multi-output classification by structured conditional risk minimization.

Zhongchen Ma, Songcan Chen, Di Ma

Pattern Recognit. Lett., 2018

Hierarchical Gaussian Processes model for multi-task learning.

Ping Li, Songcan Chen

Pattern Recognit., 2018

Cross modal similarity learning with active queries.

Nengneng Gao, Sheng-Jun Huang, Yifan Yan, Songcan Chen

Pattern Recognit., 2018

Joint gender classification and age estimation by nearly orthogonalizing their semantic spaces.

Qing Tian, Songcan Chen

Image Vis. Comput., 2018

Robust ordinal regression induced by <i>l_p</i>-centroid.

Qing Tian, Wenqiang Zhang, Liping Wang, Songcan Chen, Hujun Yin

Neurocomputing, 2018

Data-driven graph construction and graph learning: A review.

Lishan Qiao, Limei Zhang, Songcan Chen, Dinggang Shen

Neurocomputing, 2018

Multi-dimensional classification via a metric approach.

Zhongchen Ma, Songcan Chen

Neurocomputing, 2018

Ordinal space projection learning via neighbor classes representation.

Qing Tian, Songcan Chen, Tinghuai Ma

Comput. Vis. Image Underst., 2018

Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories.

Huanhuan Yu, Menglei Hu, Songcan Chen

CoRR, 2018

Hierarchical Dirichlet Process-based Open Set Recognition.

Chuanxing Geng, Songcan Chen

CoRR, 2018

Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization.

Feihu Huang, Songcan Chen

CoRR, 2018

Active Feature Acquisition with Supervised Matrix Completion.

Sheng-Jun Huang, Miao Xu, Ming-Kun Xie, Masashi Sugiyama, Gang Niu, Songcan Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine.

Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Doubly Aligned Incomplete Multi-view Clustering.

Menglei Hu, Songcan Chen

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Feature-correlation-aware Gaussian Process Latent Variable Model.

Ping Li, Songcan Chen

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

Semi-supervised manifold regularization with adaptive graph construction.

Yunyun Wang, Yan Meng, Yun Li, Songcan Chen, Zhenyong Fu, Hui Xue

Pattern Recognit. Lett., 2017

Joint representation classification for collective face recognition.

Liping Wang, Songcan Chen

Pattern Recognit., 2017

Cross-heterogeneous-database age estimation through correlation representation learning.

Qing Tian, Songcan Chen

Neurocomputing, 2017

Multi-instance multi-label active learning.

Sheng-Jun Huang, Nengneng Gao, Songcan Chen

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Features Fusion Based Face Recognition.

Xianzhong Long, Songcan Chen

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification.

Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification.

Mingxia Liu, Daoqiang Zhang, Songcan Chen, Hui Xue

IEEE Trans. Pattern Anal. Mach. Intell., 2016

A robust multi-class AdaBoost algorithm for mislabeled noisy data.

Bo Sun, Songcan Chen, Jiandong Wang, Haiyan Chen

Knowl. Based Syst., 2016

Ordinal margin metric learning and its extension for cross-distribution image data.

Qing Tian, Songcan Chen, Lishan Qiao

Inf. Sci., 2016

Margin distribution explanation on metric learning for nearest neighbor classification.

Peng-Cheng Zou, Jiandong Wang, Songcan Chen, Haiyan Chen

Neurocomputing, 2016

Spatial regularization in subspace learning for face recognition: implicit vs. explicit.

Yulian Zhu, Songcan Chen, Qing Tian

Neurocomputing, 2016

Mixed bi-subject kinship verification via multi-view multi-task learning.

Xiaoqian Qin, Xiaoyang Tan, Songcan Chen

Neurocomputing, 2016

Generating labeled samples for hyperspectral image classification using correlation of spectral bands.

Lu Yu, Jun Xie, Songcan Chen, Lei Zhu

Frontiers Comput. Sci., 2016

Multi-label active learning by model guided distribution matching.

Nengneng Gao, Sheng-Jun Huang, Songcan Chen

Frontiers Comput. Sci., 2016

A Unified Gender-Aware Age Estimation.

Qing Tian, Songcan Chen, Xiaoyang Tan

CoRR, 2016

A review on Gaussian Process Latent Variable Models.

Ping Li, Songcan Chen

CAAI Trans. Intell. Technol., 2016

Transfer Learning with Active Queries from Source Domain.

Sheng-Jun Huang, Songcan Chen

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Cross-heterogeneous-database age estimation with co-representation among them.

Qing Tian, Songcan Chen

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

FREL: A Stable Feature Selection Algorithm.

Yun Li, Jennie Si, Guojing Zhou, Shasha Huang, Songcan Chen

IEEE Trans. Neural Networks Learn. Syst., 2015

Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models.

Feihu Huang, Songcan Chen

IEEE Trans. Neural Networks Learn. Syst., 2015

Tri-Subject Kinship Verification: Understanding the Core of A Family.

Xiaoqian Qin, Xiaoyang Tan, Songcan Chen

IEEE Trans. Multim., 2015

McMatMHKS: A direct multi-class matrixized learning machine.

Zhe Wang, Yun Meng, Yujin Zhu, Qi Fan, Songcan Chen, Daqi Gao

Knowl. Based Syst., 2015

A novel ordinal learning strategy: Ordinal nearest-centroid projection.

Qing Tian, Songcan Chen

Knowl. Based Syst., 2015

基于特征偏好的聚类研究 (Research on Clustering with Feature Preferences).

Ling Fang, Songcan Chen

计算机科学, 2015

Semi-supervised classification learning by discrimination-aware manifold regularization.

Yunyun Wang, Songcan Chen, Hui Xue, Zhenyong Fu

Neurocomputing, 2015

Cumulative attribute relation regularization learning for human age estimation.

Qing Tian, Songcan Chen

Neurocomputing, 2015

Detecting differential expression from RNA-seq data with expression measurement uncertainty.

Li Zhang, Songcan Chen, Xuejun Liu

Frontiers Comput. Sci., 2015

Tri-subjects kinship verification: Understanding the core of a family.

Xiaoqian Qin, Xiaoyang Tan, Songcan Chen

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Web Page Classification Based on Uncorrelated Semi-Supervised Intra-View and Inter-View Manifold Discriminant Feature Extraction.

Xiao-Yuan Jing, Qian Liu, Fei Wu, Baowen Xu, Yang-Ping Zhu, Songcan Chen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Label Active Learning: Query Type Matters.

Sheng-Jun Huang, Songcan Chen, Zhi-Hua Zhou

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

The FG 2015 Kinship Verification in the Wild Evaluation.

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

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014

A general non-local denoising model using multi-kernel-induced measures.

Zhonggui Sun, Songcan Chen, Lishan Qiao

Pattern Recognit., 2014

Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients.

Fengyi Song, Xiaoyang Tan, Xue Liu, Songcan Chen

Pattern Recognit., 2014

Bagging-like metric learning for support vector regression.

Peng-Cheng Zou, Jiandong Wang, Songcan Chen, Haiyan Chen

Knowl. Based Syst., 2014

Fuzzy classifier based on fuzzy support vector machine.

Aibing Ji, Songcan Chen, Qiang Hua

J. Intell. Fuzzy Syst., 2014

A Two-Step Regularization Framework for Non-Local Means.

Zhong-Gui Sun, Songcan Chen, Li-Shan Qiao

J. Comput. Sci. Technol., 2014

A Comparative Study: Globality versus Locality for Graph Construction in Discriminant Analysis.

Bo Yang, Songcan Chen

J. Appl. Math., 2014

Discriminality-driven regularization framework for indefinite kernel machine.

Hui Xue, Songcan Chen

Neurocomputing, 2014

Comparative study among three strategies of incorporating spatial structures to ordinal image regression.

Qing Tian, Songcan Chen, Xiaoyang Tan

Neurocomputing, 2014

Attribute relation learning for zero-shot classification.

Mingxia Liu, Daoqiang Zhang, Songcan Chen

Neurocomputing, 2014

Linear discriminant analysis with worst between-class separation and average within-class compactness.

Leilei Yang, Songcan Chen

Frontiers Comput. Sci., 2014

Exploiting relationship between attributes for improved face verification.

Fengyi Song, Xiaoyang Tan, Songcan Chen

Comput. Vis. Image Underst., 2014

A unified algorithm for mixed $l_{2, p}$ -minimizations and its application in feature selection.

Liping Wang, Songcan Chen, Yuanping Wang

Comput. Optim. Appl., 2014

Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease.

Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

2013

Safety-Aware Semi-Supervised Classification.

Yunyun Wang, Songcan Chen

IEEE Trans. Neural Networks Learn. Syst., 2013

Analysis of Non-Local Euclidean Medians and Its Improvement.

Zhonggui Sun, Songcan Chen

IEEE Signal Process. Lett., 2013

Three-fold structured classifier design based on matrix pattern.

Zhe Wang, Changming Zhu, Daqi Gao, Songcan Chen

Pattern Recognit., 2013

A literature survey on robust and efficient eye localization in real-life scenarios.

Fengyi Song, Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou

Pattern Recognit., 2013

Neighborhood Correlation Analysis for Semi-paired Two-View Data.

Xudong Zhou, Xiaohong Chen, Songcan Chen

Neural Process. Lett., 2013

Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers.

Bo Cheng, Daoqiang Zhang, Songcan Chen, Daniel Kaufer, Dinggang Shen

Neuroinformatics, 2013

Random projection ensemble learning with multiple empirical kernels.

Zhe Wang, Wenbo Jie, Songcan Chen, Daqi Gao

Knowl. Based Syst., 2013

Multi-view classification with cross-view must-link and cannot-link side information.

Qiang Qian, Songcan Chen, Xudong Zhou

Knowl. Based Syst., 2013

Query-dependent cross-domain ranking in heterogeneous network.

Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, Zi Yang

Knowl. Inf. Syst., 2013

Soft large margin clustering.

Yunyun Wang, Songcan Chen

Inf. Sci., 2013

Regularized soft K-means for discriminant analysis.

Xuesong Yin, Songcan Chen, Enliang Hu

Neurocomputing, 2013

A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image.

Bo Yang, Songcan Chen

Neurocomputing, 2013

Dimensionality reduction with adaptive graph.

Lishan Qiao, Limei Zhang, Songcan Chen

Frontiers Comput. Sci., 2013

Co-metric: a metric learning algorithm for data with multiple views.

Qiang Qian, Songcan Chen

Frontiers Comput. Sci., 2013

$l_{2,p}$ Matrix Norm and Its Application in Feature Selection

Liping Wang, Songcan Chen

CoRR, 2013

Stable L2-Regularized Ensemble Feature Weighting.

Yun Li, Shasha Huang, Songcan Chen, Jennie Si

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

2012

Manifold-based canonical correlation analysis for wireless sensor network localization.

Jingjing Gu, Songcan Chen

Wirel. Commun. Mob. Comput., 2012

New Semi-Supervised Classification Method Based on Modified Cluster Assumption.

Yunyun Wang, Songcan Chen, Zhi-Hua Zhou

IEEE Trans. Neural Networks Learn. Syst., 2012

Graph optimization for dimensionality reduction with sparsity constraints.

Limei Zhang, Songcan Chen, Lishan Qiao

Pattern Recognit., 2012

Simultaneous clustering and classification over cluster structure representation.

Qiang Qian, Songcan Chen, Weiling Cai

Pattern Recognit., 2012

A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data.

Xiaohong Chen, Songcan Chen, Hui Xue, Xudong Zhou

Pattern Recognit., 2012

Plane-Gaussian artificial neural network.

Xubing Yang, Songcan Chen, Bin Chen

Neural Comput. Appl., 2012

Regularized multi-view learning machine based on response surface technique.

Zhe Wang, Jin Xu, Songcan Chen, Daqi Gao

Neurocomputing, 2012

Can under-exploited structure of original-classes help ECOC-based multi-class classification?

Yunyun Wang, Songcan Chen, Hui Xue

Neurocomputing, 2012

Margin Distribution Controlled Boosting

Guangxu Guo, Songcan Chen

CoRR, 2012

Metric Learning across Heterogeneous Domains by Respectively Aligning Both Priors and Posteriors

Qiang Qian, Songcan Chen

CoRR, 2012

Learning Attribute Relation in Attribute-Based Zero-Shot Classification.

Mingxia Liu, Songcan Chen, Daoqiang Zhang

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Eyes Closeness Detection Using Appearance Based Methods.

Xue Liu, Xiaoyang Tan, Songcan Chen

Proceedings of the Intelligent Information Processing VI, 2012

Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data.

Hui Xue, Songcan Chen, Jijian Huang

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Ensemble Feature Weighting Based on Local Learning and Diversity.

Yun Li, Su-Yan Gao, Songcan Chen

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Localization with Incompletely Paired Data in Complex Wireless Sensor Network.

Jingjing Gu, Songcan Chen, Tingkai Sun

IEEE Trans. Wirel. Commun., 2011

Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier.

Hui Xue, Songcan Chen, Qiang Yang

IEEE Trans. Neural Networks, 2011

A novel multi-view learning developed from single-view patterns.

Zhe Wang, Songcan Chen, Daqi Gao

Pattern Recognit., 2011

A structurally motivated framework for discriminant analysis.

Bo Yang, Songcan Chen, Xindong Wu

Pattern Anal. Appl., 2011

Glocalization pursuit support vector machine.

Hui Xue, Songcan Chen

Neural Comput. Appl., 2011

SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size.

Zhipeng Xie, Songcan Chen

Neurocomputing, 2011

Two-stage nonparametric kernel leaning: From label propagation to kernel propagation.

Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao

Neurocomputing, 2011

Support Vector Machine incorporated with feature discrimination.

Yunyun Wang, Songcan Chen, Hui Xue

Expert Syst. Appl., 2011

A novel multi-view classifier based on Nyström approximation.

Zhe Wang, Songcan Chen, Daqi Gao

Expert Syst. Appl., 2011

Large correlation analysis.

Xiaohong Chen, Songcan Chen, Hui Xue

Appl. Math. Comput., 2011

Learning to Advertise: How Many Ads Are Enough?

Bo Wang, Zhaonan Li, Jie Tang, Kuo Zhang, Songcan Chen, Liyun Ru

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression.

Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent.

Enliang Hu, Bo Wang, Songcan Chen

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Generalized low-rank approximations of matrices revisited.

Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan

IEEE Trans. Neural Networks, 2010

Semisupervised Kernel Matrix Learning by Kernel Propagation.

Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin

IEEE Trans. Neural Networks, 2010

A multiobjective simultaneous learning framework for clustering and classification.

Weiling Cai, Songcan Chen, Daoqiang Zhang

IEEE Trans. Neural Networks, 2010

Sparsity preserving discriminant analysis for single training image face recognition.

Lishan Qiao, Songcan Chen, Xiaoyang Tan

Pattern Recognit. Lett., 2010

Graph-optimized locality preserving projections.

Limei Zhang, Lishan Qiao, Songcan Chen

Pattern Recognit., 2010

Semi-supervised clustering with metric learning: An adaptive kernel method.

Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang

Pattern Recognit., 2010

Sparsity preserving projections with applications to face recognition.

Lishan Qiao, Songcan Chen, Xiaoyang Tan

Pattern Recognit., 2010

A tree-structured framework for purifying "complex" clusters with structural roles of individual data.

Jundi Ding, RuNing Ma, Jingyu Yang, Songcan Chen

Pattern Recognit., 2010

A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization.

Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan

Neural Process. Lett., 2010

SSPS: A Semi-Supervised Pattern Shift for Classification.

Enliang Hu, Xuesong Yin, Yongming Wang, Songcan Chen

Neural Process. Lett., 2010

Disguised <i>Discrimination</i> of Locality-Based <i>Unsupervised</i> Dimensionality Reduction.

Bo Yang, Songcan Chen

Int. J. Pattern Recognit. Artif. Intell., 2010

Structure-Embedded AUC-SVM.

Yunyun Wang, Songcan Chen, Hui Xue

Int. J. Pattern Recognit. Artif. Intell., 2010

Sample-dependent graph construction with application to dimensionality reduction.

Bo Yang, Songcan Chen

Neurocomputing, 2010

An empirical study of two typical locality preserving linear discriminant analysis methods.

Lishan Qiao, Limei Zhang, Songcan Chen

Neurocomputing, 2010

Manifold contraction for semi-supervised classification.

Enliang Hu, Songcan Chen, Xuesong Yin

Sci. China Inf. Sci., 2010

Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification.

Shuo Xiang, Songcan Chen, Lishan Qiao

Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

2009

Face recognition under occlusions and variant expressions with partial similarity.

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Jun Liu

IEEE Trans. Inf. Forensics Secur., 2009

Discriminatively regularized least-squares classification.

Hui Xue, Songcan Chen, Qiang Yang

Pattern Recognit., 2009

A simultaneous learning framework for clustering and classification.

Weiling Cai, Songcan Chen, Daoqiang Zhang

Pattern Recognit., 2009

Semi-random subspace method for face recognition.

Yulian Zhu, Jun Liu, Songcan Chen

Image Vis. Comput., 2009

Proximal support vector machine using local information.

Xubing Yang, Songcan Chen, Bin Chen, Zhisong Pan

Neurocomputing, 2009

Local ridge regression for face recognition.

Hui Xue, Yulian Zhu, Songcan Chen

Neurocomputing, 2009

Multi-view kernel machine on single-view data.

Zhe Wang, Songcan Chen

Neurocomputing, 2009

A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness.

Zhe Wang, Songcan Chen, Daqi Gao

Proceedings of the Sixth International Symposium on Neural Networks, 2009

Learning the Optimal Neighborhood Kernel for Classification.

Jun Liu, Jianhui Chen, Songcan Chen, Jieping Ye

Proceedings of the IJCAI 2009, 2009

Enhanced Pictorial Structures for precise eye localization under incontrolled conditions.

Xiaoyang Tan, Fengyi Song, Zhi-Hua Zhou, Songcan Chen

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping.

Zhe Wang, Songcan Chen, Zhisong Pan, Xuelei Ni

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Discriminative Canonical Correlation Analysis with Missing Samples.

Tingkai Sun, Songcan Chen, Jing-Yu Yang, Xuelei Hu, Pengfei Shi

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Heterogeneous cross domain ranking in latent space.

Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, Yanzhu Liu

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes.

Jundi Ding, Jialie Shen, HweeHwa Pang, Songcan Chen, Jing-Yu Yang

Proceedings of the Computer Vision, 2009

2008

Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector.

Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang

IEEE Trans. Neural Networks, 2008

A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation.

Jundi Ding, RuNing Ma, Songcan Chen

IEEE Trans. Image Process., 2008

Matrix-pattern-oriented least squares support vector classifier with AdaBoost.

Zhe Wang, Songcan Chen

Pattern Recognit. Lett., 2008

Constraint Score: A new filter method for feature selection with pairwise constraints.

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou

Pattern Recognit., 2008

Classifier learning with a new locality regularization method.

Hui Xue, Songcan Chen, Xiaoqin Zeng

Pattern Recognit., 2008

Fractional order singular value decomposition representation for face recognition.

Jun Liu, Songcan Chen, Xiaoyang Tan

Pattern Recognit., 2008

A study on three linear discriminant analysis based methods in small sample size problem.

Jun Liu, Songcan Chen, Xiaoyang Tan

Pattern Recognit., 2008

MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm.

Zhe Wang, Songcan Chen, Tingkai Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Structural Support Vector Machine.

Hui Xue, Songcan Chen, Qiang Yang

Proceedings of the Advances in Neural Networks, 2008

Clustering Using Normalized Path-Based Metric.

Jundi Ding, RuNing Ma, Songcan Chen, Jing-Yu Yang

Proceedings of the Advances in Neural Networks, 2008

A Novel Method of Combined Feature Extraction for Recognition.

Tingkai Sun, Songcan Chen, Jing-Yu Yang, Pengfei Shi

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Constraint Projections for Ensemble Learning.

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion".

Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang

IEEE Trans. Neural Networks, 2007

Robust fuzzy relational classifier incorporating the soft class labels.

Weiling Cai, Songcan Chen, Daoqiang Zhang

Pattern Recognit. Lett., 2007

Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning.

Songcan Chen, Zhe Wang, Yongjun Tian

Pattern Recognit., 2007

Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation.

Weiling Cai, Songcan Chen, Daoqiang Zhang

Pattern Recognit., 2007

New Least Squares Support Vector Machines Based on Matrix Patterns.

Zhe Wang, Songcan Chen

Neural Process. Lett., 2007

Locality preserving CCA with applications to data visualization and pose estimation.

Tingkai Sun, Songcan Chen

Image Vis. Comput., 2007

Entropy-Inspired Competitive Clustering Algorithms.

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou

Int. J. Softw. Informatics, 2007

Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition.

Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang

Int. J. Pattern Recognit. Artif. Intell., 2007

Class label versus sample label-based CCA.

Tingkai Sun, Songcan Chen

Appl. Math. Comput., 2007

Semi-Supervised Dimensionality Reduction.

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Exponential Bidirectional Associative Memory Based on Small-world Architecture.

Min Wang, Songcan Chen

Proceedings of the Third International Conference on Natural Computation, 2007

A Novel Approach of Rough Set-Based Attribute Reduction Using Fuzzy Discernibility Matrix.

Ming Yang, Songcan Chen, Xubing Yang

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Single Image Subspace for Face Recognition.

Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan

Proceedings of the Analysis and Modeling of Faces and Gestures, 2007

2006

Non-iterative generalized low rank approximation of matrices.

Jun Liu, Songcan Chen

Pattern Recognit. Lett., 2006

Diagonal principal component analysis for face recognition.

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen

Pattern Recognit., 2006

Learning the kernel parameters in kernel minimum distance classifier.

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou

Pattern Recognit., 2006

Face recognition from a single image per person: A survey.

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang

Pattern Recognit., 2006

Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition.

Lei Chen, Songcan Chen

Neural Process. Lett., 2006

Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem.

Jun Liu, Songcan Chen

Image Vis. Comput., 2006

Sub-intrapersonal space analysis for face recognition.

Xiaoyang Tan, Jun Liu, Songcan Chen

Neurocomputing, 2006

Integrating the improved CBP model with kernel SOM.

Qun Dai, Songcan Chen

Neurocomputing, 2006

Image binarization focusing on objects.

Songcan Chen, Daohong Li

Neurocomputing, 2006

Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns.

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou

Proceedings of the Structural, 2006

Non-negative Matrix Factorization on Kernels.

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Recognition from a Single Sample per Person with Multiple SOM Fusion.

Xiaoyang Tan, Jun Liu, Songcan Chen

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation.

Jundi Ding, Songcan Chen, RuNing Ma, Bo Wang

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels.

Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion.

Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Enhanced FMAM based on empirical kernel map.

Min Wang, Songcan Chen

IEEE Trans. Neural Networks, 2005

Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble.

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang

IEEE Trans. Neural Networks, 2005

Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA.

Songcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang

Pattern Recognit. Lett., 2005

Modified linear discriminant analysis.

Songcan Chen, Daohong Li

Pattern Recognit., 2005

Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures.

Daoqiang Zhang, Songcan Chen, Keren Tan

Neural Process. Lett., 2005

Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction.

Qun Dai, Songcan Chen

Neural Process. Lett., 2005

Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction.

Songcan Chen, Qun Dai

Neural Comput. Appl., 2005

Fast image compression using matrix K-L transform.

Daoqiang Zhang, Songcan Chen

Neurocomputing, 2005

Adaptively weighted sub-pattern PCA for face recognition.

Keren Tan, Songcan Chen

Neurocomputing, 2005

Seeking multi-thresholds directly from support vectors for image segmentation.

Songcan Chen, Min Wang

Neurocomputing, 2005

Class-information-incorporated principal component analysis.

Songcan Chen, Tingkai Sun

Neurocomputing, 2005

A unified SWSI-KAMs framework and performance evaluation on face recognition.

Songcan Chen, Lei Chen, Zhi-Hua Zhou

Neurocomputing, 2005

A new face recognition method based on SVD perturbation for single example image per person.

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou

Appl. Math. Comput., 2005

Feature Selection for High Dimensional Face Image Using Self-organizing Maps.

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Representing Image Matrices: Eigenimages Versus Eigenvectors.

Daoqiang Zhang, Songcan Chen, Jun Liu

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image.

Xiaoyang Tan, Jun Liu, Songcan Chen, Fuyan Zhang

Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Resampling LDA/QR and PCA+LDA for Face Recognition.

Jun Liu, Songcan Chen

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition.

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou

Proceedings of the Analysis and Modelling of Faces and Gestures, 2005

2004

Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure.

Songcan Chen, Daoqiang Zhang

IEEE Trans. Syst. Man Cybern. Part B, 2004

Enhanced (PC)² A for face recognition with one training image per person

Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou

Pattern Recognit. Lett., 2004

A comment on "Alternative c-means clustering algorithms".

Daoqiang Zhang, Songcan Chen

Pattern Recognit., 2004

Subpattern-based principle component analysis.

Songcan Chen, Yulian Zhu

Pattern Recognit., 2004

Alternative linear discriminant classifier.

Songcan Chen, Xubing Yang

Pattern Recognit., 2004

Making FLDA applicable to face recognition with one sample per person.

Songcan Chen, Jun Liu, Zhi-Hua Zhou

Pattern Recognit., 2004

A novel kernelized fuzzy C-means algorithm with application in medical image segmentation.

Daoqiang Zhang, Songcan Chen

Artif. Intell. Medicine, 2004

Fuzzy-Kernel Learning Vector Quantization.

Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou

Proceedings of the Advances in Neural Networks, 2004

Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face.

Xiaoyang Tan, Songcan Chen, Zhi-Hua Zhou, Fuyan Zhang

Proceedings of the Advances in Neural Networks, 2004

Progressive Principal Component Analysis.

Jun Liu, Songcan Chen, Zhi-Hua Zhou

Proceedings of the Advances in Neural Networks, 2004

Robust Image Denoising Using Kernel-Induced Measures.

Keren Tan, Songcan Chen, Daoqiang Zhang

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Semi-supervised Kernel-Based Fuzzy C-Means.

Daoqiang Zhang, Keren Tan, Songcan Chen

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003

Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm.

Daoqiang Zhang, Songcan Chen

Neural Process. Lett., 2003

Improved CBP Neural Network Model with Applications in Time Series Prediction.

Qun Dai, Songcan Chen, Benzhu Zhang

Neural Process. Lett., 2003

A new method based on SOM network to generate coarse meshes for overlapping unstructured multigrid algorithm.

Hongqiang Lu, Yizhao Wu, Songcan Chen

Appl. Math. Comput., 2003