Journal Publications
Tian Q, Chen S, Ma T. Ordinal space projection learning via neighbor classes representation. Computer Vision and Image Understanding, 2018
Ma Z, Chen S. Multi-dimensional classification via a metric approach. Neurocomputing, 2018
Qiao L, Zhang L, Chen S, Shen D. Data-driven graph construction and graph learning: A review. Neurocomputing, 2018
Tian Q, Zhang W, Wang L, Chen S, Yin H. Robust ordinal regression induced by lp-centroid. Neurocomputing, 2018
Tian Q, Chen S. Joint gender classification and age estimation by nearly orthogonalizing their semantic spaces. Image and Vision Computing, 2018
Gao N, Huang S, Yan Y, Chen S. Cross modal similarity learning with active queries. Pattern Recognition, 2018
Li P, Chen S. Hierarchical Gaussian Processes model for multi-task learning. Pattern Recognition, 2018
Ma Z, Ma D, Chen S. Heterogeneous multi-output classification by structured conditional risk minimization. Pattern Recognition Letters, 2018
Huang F, Chen S. Learning Dynamic Conditional Gaussian Graphical Models. IEEE Transactions on Knowledge and Data Engineering, 2018
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
Geng C, Chen S. Metric Learning-Guided Least Squares Classifier Learning. IEEE Transactions on Neural Networks and Learning Systems, 2018
Huang F, Chen S, Huang S. Joint Estimation of Multiple Conditional Gaussian Graphical Models. IEEE Transactions on Neural Networks and Learning Systems, 2018
Zhang W, Wang D, Tan X, Robust Class-Specific Autoencoder for Data Cleaning and Classification in the Presence of Label Noise. Neural Processing Letters, 2018.
Wang D, Tan X, Robust Distance Metric Learning via Bayesian Inference. IEEE Transactions on Image Processing, 2018.
Wang D, Tan D, Bayesian Neighbourhood Component Analysis. IEEE Transactions on Neural Networks and Learning Systems, 2018.
Zhang D*, Huang J, Jie B, Du J, Tu L, Liu M*. Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE transactions on medical imaging, 2018, 37(7): 1711-1722.
Yousefnezhad M, Huang S-J, Zhang D*. WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory. IEEE Transactions on Cybernetics, 2018, 48(2): 486-499.
Jie B, Liu M, Zhang D*, Shen D*. Sub-network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Transactions on Image Processing, 2018, 27(5): 2340-2353.
Zhu Q, Zhu J, Liu M, Xu X, Zhang D. Multi-Region Correlation Based Functional Brain Network for Disease Diagnosis and Cognitive States Detection. IEEE Access, 2018, 6: 78065-78076.
Zhang D, Tu L, Zhang L-J, Jie B, Lu G. Subnetwork mining on functional connectivity network for classification of minimal hepatic encephalopathy. Brain imaging and behavior, 2018, 12(3): 901-911.
Hao X, Yao X, Shannon L Risacher, Andrew J Saykin, Jintai Yu, Huifu Wang, Lan Tan, Li Shen, Zhang D. Identifying candidate genetic associations with MRI-derived AD-related ROI via tree-guided sparse learning. IEEE/ACM transactions on computational biology and bioinformatics, 2018, 16(6): 1986-1996.
Zhang D*, Huang J, Jie B, Du J, Tu L, Liu M*. Ordinal Pattern: A New Descriptor for Brain Connectivity Networks. IEEE Transactions on Medical Imaging, 2018, in press.
Zhang D, Zu C, Jie B, Ye T. Multi-modality Feature Learning in Diagnoses of Alzheimer’s Disease. In: Suzuki K., Chen Y. (eds) Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging. Intelligent Systems Reference Library, vol 140. Springer, Cham.
Shao W, Liu M, Ying-Ying Xu, Hong-Bin Shen*, Zhang D*. An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-images.IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018, in press.
Jie B, Liu M, Zhang D*, Shen D*. Sub-network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis. IEEE Transactions on Image Processing, 2018, 27(5): 2340-2353.
Yousefnezhad M, Zhang D*. Anatomical pattern analysis for decoding visual stimuli in human brains. Cognitive Computation, 2018, 10(2): 284-295
Cheng B, Liu M, Zhang D*, Shen D*. Robust Multi-Label Transfer Feature Learning for Early Diagnosis of Alzheimer’s Disease. Brain Imaging and Behavior, 2018, in press.
Huang J, Zhu Q, Hao X, Xiaomeng Shi, Shuzhan Gao, Xu X, and Zhang D. Identifying Resting-State Multifrequency Biomarkers via Tree-Guided Group Sparse Learning for Schizophrenia Classification. IEEE Journal of Biomedical & Health Informatics, 2018:1-1.
彭瑶, 祖辰, 张道强*. 基于超图的多模态特征选择算法及其应用. 计算机科学与探索, 2018, 12(1): 112-119.DOI:10.3778/j.issn.1673-9418.1611004.
郝小可, 李蝉秀, 严景文, 沈理, 张道强. 基于统计学习的影像遗传学方法综述. 自动化学报, 2018, 044(001):13-24.
李蝉秀, 郝小可, 张道强 基于结构和功能的多模态脑影像与基因变异的关联研究. 阿尔茨海默病及相关病, 2018, 000(001):P.71-78.
张道强, 朱旗, 郝小可, 邵伟, 王明亮, 黄嘉爽, 黄硕. 脑影像智能分析. 中国科学:信息科学, 2018, v.48(05):109-122.
丁毅, 王明亮, 张道强*. 差异性随机子空间集成. 计算机科学与探索, 2018, 012(009):1434-1443.
路子祥, 黄嘉爽, 屠黎阳, 徐西嘉, 张道强*. 基于张量的正则化多线性回归算法及其应用. 计算机科学与探索, 2018, v.12；No.118(07):121-129.
Conference Publications
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.
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.
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.
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.
Huang S, Zhao J, Liu Z.Cost-Effective training of deep CNNs with active model adaptation.In: Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'18), 2018.
Yan Y, Huang S. Cost-effective active learning for hierarchical multi-label classification. In: Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), 2018.
Xie M, Huang S. Partial multi-label learning. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), 2018.
Liu C, Zhao P, Huang S, Jiang Y, Zhou Z. Dual set multi-label learning. In: Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), 2018.
Song G, Tan X, Learning Multilevel Semantic Similarity for Large-Scale Multi-Label Image Retrieval. In: Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval (ICMR 2018) , Yokohama, Japan, 2018.
Zhang W, Wang D, Tan X, Data Cleaning and Classification in the Presence of Label Noise with Class-Specific Autoencoder. In: Proceedings of the 15th International Symposium on Neural Networks (ISNN 2018) , Minsk, Belarus, 2018.
Liu Z, Liu X, Cai X. A New Hybrid Aerodynamic Optimization Framework Based on Differential Evolution and Invasive Weed Optimization. Chinese Journal of Aeronautics, 2018.
Ding Y, Weiqing Liu, Jiang Bian, Zhang D, Tie-Yan Liu. Investor-imitator: A framework for trading knowledge extraction. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2018: 1310-1319.
Shao W, Cheng J, Sun L, Han Z, Feng Q, Zhang D, Huang K. Ordinal multi-modal feature selection for survival analysis of early-stage renal cancer. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'18). Springer, Cham, 2018: 648-656.
Wang M, Zhang D, Huang J, Shen D, Liu M. Low-rank representation for multi-center autism spectrum disorder identification. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'18). Springer, Cham, 2018: 647-654.
Sheng X, Yousefnezhad M, Xu T, Yuan N, Zhang D. Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data. Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Springer, Cham, 2018: 304-315.
Sun L, Zhang D, Wang L, Shao W, Zengsi Chen, Weili Lin, Shen D, Gang Li. Topological correction of infant cortical surfaces using anatomically constrained U-net. International Workshop on Machine Learning in Medical Imaging. Springer, Cham, 2018: 125-133.
Mao B, Huang J, Zhang D. Node based row-filter convolutional neural network for brain network classification. Pacific Rim International Conference on Artificial Intelligence. Springer, Cham, 2018: 1069-1080.
Xu T, Yousefnezhad M, Zhang D. Gradient Hyperalignment for multi-subject fMRI data alignment. Pacific Rim International Conference on Artificial Intelligence. Springer, Cham, 2018: 1058-1068.
Shao W, Sun L, Zhang D. Deep active learning for nucleus classification in pathology images. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 2018, pp. 199-202.
Zu C, Wang Y, Zhou L, Wang L, and Zhang D. Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. . 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 2018, pp. 1542-1545.
Li SY, Jiang Y. Multi-Label Crowdsourcing Learning with Incomplete Annotations. In: Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI’18), 2018.