Journal Publications
Geng C, Huang S, Chen S. Recent Advances in Open Set Recognition: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
Geng, Chen S. Collective decision for open set recognition. IEEE Transactions on Knowledge and Data Engineering, 2020.
Tian Q, Cao M, Chen S, Yin H. Structure-Exploiting Discriminative Ordinal Multioutput Regression. IEEE Transactions on Neural Networks and Learning Systems, 2020.
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.
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.
Lin Y, Chen S. A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering. IEEE Transactions on Fuzzy Systems, 2020.
Guo S, Chen S, Tian Q. Ordinal factorization machine with hierarchical sparsity. Frontiers of Computer Science, 2020.
Ma D, Chen S. Bayesian compressive principal component analysis. Frontiers of Computer Science, 2020.
Ma D, Chen S. Distribution Agnostic Bayesian Matching Pursuit Based on the Exponential Embedded Family. Neurocomputing, 2020.
Wang Y, Gu J, Wang C, Chen S, Xue H. Discrimination-Aware Domain Adversarial Neural Network. Journal of Computer Science and Technology, 2020.
Wang Y, Nie L, Li Y, Chen S. Soft large margin clustering for unsupervised domain adaptation. Knowledge Based Systems, 2020.
Geng C, Tao L, Chen S. Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes. Pattern Recognition, 2020.
Quan Z, Chen S. Robust convex clustering. Soft Computing, 2020.
Zhu Y, Chen S. Growing neural gas with random projection method for high-dimensional data stream clustering. Soft Computing, 2020.
Li P, Chen S. Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering. IEEE Transactions on Cybernetics, 2020.
G Song, X Tan. Deep code operation network for multi-label image retrieval. Computer Vision and Image Understanding, 2020.
Li SY, Jiang Y. Multi-Label Crowdsourcing Learning. In: Ruan Jian Xue Bao/Journal of Software (JOS), in press, 2020.
Sun L, Mo Z, Yan F, Xia L, Shan F, Ding Z, et al.Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.arXiv preprint arXiv:2005.03264, 2020
Shao W, Peng Y, Zu C, Wang M, and Zhang D. Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Computerized Medical Imaging and Graphics 80, 101663, 2020
Li W, Liu M, Zhang D. Nyström Subspace Learning for Large-scale SVMs. arXiv preprint arXiv:2002.08937, 2020
Huang J, Zhou L, Wang L and Zhang D. Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Transactions on Medical Imaging, 2020.
Hao X, Bao Y, Guo Y, Yu M, Zhang D, Shannon L.R., et al. Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease. Medical Image Analysis 60, 101625(3), 2020.
Zhu Q, Xu N, Huang S, Qian J and Zhang D. Adaptive feature weighting for robust Lp-norm sparse representation with application to biometric image classification. International Journal of Machine Learning and Cybernetics, 11 (2), 463-474, 2020.
Zhu Q, Xu X, Yuan N, Zhang Z, Guan D, Huang SJ, and Zhang D. Latent Correlation Embedded Discriminative Multi-Modal Data Fusion. Signal Processing, 107466(1), 2020.
Ma K, Yu J, Shao W, Xu X, Zhang Z, and Zhang D. Functional Overlaps Exist in Neurological and Psychiatric Disorders: A Proof from Brain Network Analysis. Neuroscience, 425, 39-48, 2020
Yousefnezhad M, Selvitella A, Han L, and Zhang D. Supervised Hyperalignment for multi-subject fMRI data alignment.arXiv preprint arXiv:2001.02894, 2020
Wang M, Hao X, Huang J, Wang K, Shen L, Xu X et al. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics 18 (1), 43-57, 2020
Wu H, Liu X, An W, Chen S, Lyu H. A Deep Learning Approach for Efficiently and Accurately Evaluating the Flow Field of Supercritical Airfoils. Computers and Fluids, 2020.
Li J, Liu X, Zhang D. Detecting Differential Transcript Usage Across Multiple Conditions for RNA-Seq Data Based on the Smoothed LDA Model. Frontiers of Computer Science, 2020.
Conference Publications
Feihu Huang，Lue Tao，Songcan Chen, Accelerated Stochastic Gradient-free and Projection-free Methods, In: Proceedings of the 37th International Conference on Machine Learning (ICML'20)，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.
Wang T, Wu X, Huang S, Zhou Z. Cost-effectively Identifying Causal Effect When Only Response Variable Observable. In: Proceedings of the 37th International Conference on Machine Learning (ICML'20), 2020.
Xie M, Huang S. Partial Multi-label Learning with Noisy Label Identification. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), 2020.
Yan Y, Huang S, Xu J, Liao M, Chen S. Active Learning with Query Generation for Cost-Effective Text Classification. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), 2020.
Wen C, Yao X, Wang Y, Tan X, SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), New York, USA, 2020.
Wan P, Chen F, Zhu X, Liu C, Zhang Y, Kong W, and Zhang D. CEUS-Net: Lesion Segmentation in Dynamic Contrast-Enhanced Ultrasound with Feature-Reweighted Attention Mechanism. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1816-1819, 2020.