陈松灿
Songcan Chen
Professor, College of Computer Science & Technology,
Nanjing University of Aeronautics & Astronautics, China.
Fellow of the IAPR, CAAI.
Mail: Songcan Chen Office: Room 214, Computer Science & Technology Building
College of Computer Science & Technology Tel: +86-025-84892758 Nanjing University of Aeronautics & Astronautics 29 Jiangjun Road, Jiangning District Email: s.chen@nuaa.edu.cn
Nanjing, 211106
Research Interest
My research interests mainly include machine learning, pattern recognition.
Course
Principles of Pattern Recognition The Kernel Method of Pattern Recognition
Publications
Journal Publications
2020
Geng C, Huang S, Chen S. Recent Advances in Open Set Recognition: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020. [pdf]
Geng, Chen S. Collective decision for open set recognition. IEEE Transactions on Knowledge and Data Engineering, 2020. [pdf]
Tian Q, Cao M, Chen S, Yin H. Structure-Exploiting Discriminative Ordinal Multioutput Regression. IEEE Transactions on Neural Networks and Learning Systems, 2020. [pdf]
Tian Q, Ma C, Cao M, Chen S, Yin H. Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. ACM Transactions on Intelligent Systems and Technology, 2020. [pdf]
Tian Q, Ma C, Cao M, Chen S, Yin H. A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition. IEEE Transactions on Cybernetics, 2020. [pdf]
Lin Y, Chen S. A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. IEEE Transactions on Fuzzy Systems, 2020. [pdf]
Guo S, Chen S, Tian Q. Ordinal factorization machine with hierarchical sparsity. Frontiers of Computer Science, 2020. [pdf]
Ma D, Chen S. Bayesian compressive principal component analysis. Frontiers of Computer Science, 2020. [pdf]
Ma D, Chen S. Distribution Agnostic Bayesian Matching Pursuit Based on the Exponential Embedded Family. Neurocomputing, 2020.[pdf]
Wang Y, Gu J, Wang C, Chen S, Xue H. Discrimination-Aware Domain Adversarial Neural Network. Journal of Computer Science and Technology, 2020. [pdf]
Wang Y, Nie L, Li Y, Chen S. Soft large margin clustering for unsupervised domain adaptation. Knowledge Based Systems, 2020. [pdf]
Geng C, Tao L, Chen S. Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes. Pattern Recognition, 2020. [pdf]
Quan Z, Chen S. Robust convex clustering. Soft Computing, 2020. [pdf]
Zhu Y, Chen S. Growing neural gas with random projection method for high-dimensional data stream clustering. Soft Computing, 2020. [pdf]
Li P, Chen S. Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering. IEEE Transactions on Cybernetics, 2020. [pdf]
2019
Ma D, Chen S. 2D compressed learning: support matrix machine with bilinear random projections. Machine Learning, 2019 [pdf]
Tian Q, Cao M, Chen S. Relationships Self-Learning Based Gender-Aware Age Estimation. Neural Processing Letters, 2019 [pdf]
Cao M, Tian Q, Feng T, Chen S. Survey of Human Facial Attributes Estimation. Journal of Software, 2019 [pdf]
Xue H, Wang L, Chen S, Wang Y. A Primal Framework for Indefinite Kernel Learning. Neural Processing Letters, 2019 [pdf]
Li P, Chen S. Gaussian process approach for metric learning. Pattern Recognition, 2019 [pdf]
Ma Z, Chen S. A convex formulation for multiple ordinal output classification. Pattern Recognition, 2019 [pdf]
2018
Tian Q, Chen S, Ma T. Ordinal space projection learning via neighbor classes representation. Computer Vision and Image Understanding, 2018 [pdf]
Ma Z, Chen S. Multi-dimensional classification via a metric approach. Neurocomputing, 2018 [pdf]
Qiao L, Zhang L, Chen S, Shen D. Data-driven graph construction and graph learning: A review. Neurocomputing, 2018 [pdf]
Tian Q, Zhang W, Wang L, Chen S, Yin H. Robust ordinal regression induced by lp-centroid. Neurocomputing, 2018 [pdf]
Tian Q, Chen S. Joint gender classification and age estimation by nearly orthogonalizing their semantic spaces. Image and Vision Computing, 2018 [pdf]
Gao N, Huang S, Yan Y, Chen S. Cross modal similarity learning with active queries. Pattern Recognition, 2018 [pdf]
Li P, Chen S. Hierarchical Gaussian Processes model for multi-task learning. Pattern Recognition, 2018 [pdf]
Ma Z, Ma D, Chen S. Heterogeneous multi-output classification by structured conditional risk minimization. Pattern Recognition Letters, 2018 [pdf]
Huang F, Chen S. Learning Dynamic Conditional Gaussian Graphical Models. IEEE Transactions on Knowledge and Data Engineering, 2018 [pdf]
Chen L, Zhang H, Lu J, Thung K, Aibaidula A, Liu L, Chen S, Jin L, Wu J, Wang Qian, Zhou L, Shen D. 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 Transactions on Medical Imaging, 2018 [pdf]
Geng C, Chen S. Metric Learning-Guided Least Squares Classifier Learning. IEEE Transactions on Neural Networks and Learning Systems, 2018 [pdf]
Huang F, Chen S, Huang S. Joint Estimation of Multiple Conditional Gaussian Graphical Models. IEEE Transactions on Neural Networks and Learning Systems, 2018 [pdf]
Conference Publications
2020
Liu Z, Li S, Chen S, Hu Yao, Huang S. Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, 2020.
2019
Hu M, Chen S. One-Pass Incomplete Multi-View Clustering. In: Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, USA, 2019.[pdf]
Huang F, Gu B, Huo Z, Chen S, Huang H. Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. In: Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, USA, 2019.[pdf]
Wang Y, Chen X, Chen S, Xue H. Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation. In: IEEE International Conference on Data Mining (ICDM 2019), Beijing, China, 2019.[pdf]
Huang F, Chen S, Huang H. Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization. In: Proceedings of the 36th International Conference on Machine Learning (ICML 2019), Long Beach, California, USA, 2019.[pdf]
Huang F, Gao S, Chen S, Huang H. Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, 2019.[pdf]
Liu J, Chen S. Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks. In:16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019), Cuvu, Yanuca Island, Fiji, 2019.[pdf]
2018
Li P, Chen S. Feature-correlation-aware Gaussian Process Latent Variable Model. In: Proceedings of The 10th Asian Conference on Machine Learning (ACML 2018), Beijing, China, 2018.[pdf]
Hu M, Chen S. Doubly Aligned Incomplete Multi-view Clustering. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI 2018), Stockholm, Sweden, 2018.[pdf]
Gu B, Yuan X, Chen S, Huang H. New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2018), London, UK, 2018.[pdf]
Huang S, Xu M, Xie M, Sugiyama M, Chen S. Active Feature Acquisition with Supervised Matrix Completion. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2018), London, UK, 2018.[pdf]