Journal Publications

Ma D, Chen S. 2D compressed learning: support matrix machine with bilinear random projections. Machine Learning, 2019 

Tian Q, Cao M, Chen S. Relationships Self-Learning Based Gender-Aware Age Estimation. Neural Processing Letters, 2019 

Cao M, Tian Q, Feng T, Chen S. Survey of Human Facial Attributes Estimation. Journal of Software, 2019 

Xue H, Wang L, Chen S, Wang Y. A Primal Framework for Indefinite Kernel Learning. Neural Processing Letters, 2019 

Li P, Chen S. Gaussian process approach for metric learning. Pattern Recognition, 2019 

Ma Z, Chen S. A convex formulation for multiple ordinal output classification. Pattern Recognition, 2019 

Huang S, Gao W, Zhou Z. Fast multi-instance multi-label learning. In:  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. 

Jia X, Li Z, Zheng X, Li W, Huang S. Label Distribution Learning with Label Correlations on Local Samples. In: IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. 

Shao W, Huang S, Liu M, Zhang D. Querying Representative and Informative Super-pixels for Filament Segmentation in Bioimages. In: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2019. 

Wang D, Song G, Tan X, Bayesian denoising hashing for robust image retrieval. Pattern Recognition, 2019. 

Song G, Tan X, Sequential Learning for Cross-Modal Retrieval.Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019. 

Song G, Wang D, Tan X, Deep Memory Network for Cross-modal Retrieval.  IEEE Transactions on Multimedia, 2019. 

Jin X, Wang Y, Tan X, Pornographic Image Recognition via Weighted Multiple Instance Learning. IEEE Transactions on Cybernetics, 2019. 

Li SY, Jiang Y, Chawla NV, Zhou ZH. Multi-Label Learning from Crowds. In: IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(7): 1369-1382, 2019. 

Sun L, An W, Liu X, Lyu H. On Developing Data-Driven Turbulence Model for DG Solution of RANS. Chinese Journal of Aeronautics, 2019. 

Yu X, Liu X. Mapping RNA-Seq Reads to Transcriptomes Efficiently Based on Learning to Hash Method. Computers in Biology and Medicine, 2019. 

Shi X, Liu X, Zhang L. PUseqClust: A Clustering Analysis Method for RNA-Seq Data. Journal of Software, 2019. 

Liu X, Qu X, Zhang L. Transcriptome Expression Analysis of ISO-Seq Data with Non-Full-Length Reads Reserved. Journal of Data Acquisition and Processing, 2019. 

Gao H, Liu X, Guo J, Lyu H. Mach Number Control of Continuous Wind Tunnel Based on Gaussian Process Regression. Acta Aerodynamica Sinica, 2019. 

Qu X, Liu X, Zhang L. An Inference Model for Bayesian Network with Prior Knowledge Base. Computer Technology and Development, 2019. 

Zhu Q, Xu N, Zhang Z, Guan D, Wang R, and Zhang D. Cross-spectral palmprint recognition with low-rank canonical correlation analysis. Multimedia Tools and Applications, 1-22(1), 2019. 

Sun L, Shao W, Zhang D, and Liu M.  Anatomical Attention Guided Deep Networks for ROI Segmentation of Brain MR Images. IEEE Transactions on Medical Imaging, vol. 39, no. 6, pp. 2000-2012, June 2020, doi: 10.1109/TMI.2019.2962792. 

Huang J, Zhu Q, Wang M, Zhou L, Zhang Z, and Zhang D.  Coherent Pattern in Multi-layer Brain Networks: Application to Epilepsy Identification. IEEE Journal of Biomedical and Health Informatics, 2019. 

Wang M, Lian C, Yao D, Zhang D, Liu M, and Shen D. Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network. IEEE Transactions on Biomedical Engineering, 2019. 

Sun L, Shao W, Wang M, Zhang D, and Liu M. High-order Feature Learning for Multi-atlas based Label Fusion: Application to Brain Segmentation with MRI. IEEE Transactions on Image Processing, 2019. 

Wang M, Shao W, Hao X, Shen L, and Zhang D. Identify Consistent Cross-Modality Imaging Genetic Patterns via Discriminant Sparse Canonical Correlation Analysis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019. 

Sun L, Zhang D, Lian C, Wang L, Wu Z, Shao W et al. Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network. NeuroImage, 2019, 198: 114-124. 

Zhu Q, Yuan N, Huang J, Hao X, and Zhang D. Multi-modal AD classification via self-paced latent correlation analysis. Neurocomputing, 2019, 355: 143-154. 

Zu C, Gao Y, Munsell B, Kim M, Peng Z, Cohen J R, Zhang D, Wu G. Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning. Brain imaging and behavior, 2019, 13(4): 879-892. 

Wang M, Zhang D, Huang J, Yap P-T, Shen D, and Liu M. Identifying autism spectrum disorder with multi-site fMRI via low-rank domain adaptation. IEEE Transactions on Medical Imaging, 2019. 

Shao W, Han Z, Cheng J, Cheng L, Wang T, Sun L, et al. Integrative analysis of pathological images and multi-dimensional genomic data for early-stage cancer prognosis. IEEE transactions on medical imaging, 2019, 39(1): 99-110. 

Sun L, Zhang L, Zhang D.  Multi-Atlas Based Methods in Brain MR Image Segmentation. Chinese Medical Sciences Journal 34.2 (2019): 110-119. 

Wang M, Hao X, Huang J, Shao W, Zhang D.  Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease. Bioinformatics, 2019, 35(11): 1948-1957. 

Sun L, Zu C, Shao W, Guang J, Zhang D, and Liu M.  Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artificial intelligence in medicine, 2019, 96: 12-24. 

Wang M, Hao X, Huang J, Wang K, Shen L, Xu X, Zhang D, and Liu M. Hierarchical Structured Sparse Learning for Schizophrenia Identification. Neuroinformatics, 2019: 1-15. 

Yousefnezhad M, Zhang D. Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis. Neuroinformatics, 2019, 17(2): 197-210. 

Wang M, Zhang D, Shen D, Liu M.  Multi-task exclusive relationship learning for Alzheimer's disease progression prediction with longitudinal data. Medical image analysis, 2019, 53: 111-122. 

Cheng B, Liu M, Zhang D, Shen D, Alzheimer's Disease Neuroimaging Initiative.  Robust multi-label transfer feature learning for early diagnosis of Alzheimer's disease. Brain imaging and behavior, 2019, 13(1): 138-153. 

Shao W, Huang S-J, Liu M, Zhang D. Querying Representative and Informative Super-pixels for Filament Segmentation in Bioimages. IEEE/ACM transactions on computational biology and bioinformatics, 2019. 

Zhu Q, Li H, Huang J, Xu X, Guan D, and Zhang D. Hybrid functional brain network with first-order and second-order information for computer-aided diagnosis of schizophrenia. Frontiers in neuroscience 13, 603(2), 2019.

Conference Publications

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. 

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.

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. 

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. 

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. 

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. 

Xie M, Huang S. Learning Class-Conditional GANs with Active Sampling.  In: Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), 2019. 

Cai J, Tang J, Chen Q, Hu Y, Wang X, Huang S. Multi-View Active Learning for Video Recommendation. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), 2019. 

Wang T, Huang S, Zhou Z. Towards identifying causal relation between instances and labels.In: Proceedings of the SIAM International Conference on Data Mining (SDM'19), 2019. 

Tang Y, Huang S.Self-paced active learning: query the right thing at the right time. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), 2019. 

Liu Z, Huang S. Active sampling for open-set classification without initial labeled data. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), 2019. 

Wang Y, He H, Tan X, Gan Z, Trust Region-Guided Proximal Policy Optimization. In: Proceedings of the 33th Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 2019. 

Wang Y, He H, Tan X, Truly Proximal Policy Optimization. In: Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), Tel Aviv, Israel, 2019. 

Zhang W, Tan X, Combining Outlier Detection and Reconstruction Error Minimization for Label Noise Reduction. In: Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (BigComp 2019), Kyoto, Japan, 2019. 

Xu Z, Zhang J, Zhang D, Wei H.  A New Network Traffic Identification Base on Deep Factorization Machine. International Conference on Intelligent Science and Big Data Engineering. Springer, Cham, 2019: 209-218. 

Li H, Zhu Q, Zhang R, Zhang D.  Multi-modality Low-Rank Learning Fused First-Order and Second-Order Information for Computer-Aided Diagnosis of Schizophrenia. International Conference on Intelligent Science and Big Data Engineering. Springer, Cham, 2019: 356-368. 

Li W, Chen F, Zhang D.  Graph Hyperalignment for Multi-subject fMRI Functional Alignment. International Workshop on Graph Learning in Medical Imaging. Springer, Cham, 2019: 1-8. 

Shao W, Wang T, Huang Z, Cheng J, Han Z, Zhang D, Huang K.  Diagnosis-Guided Multi-modal Feature Selection for Prognosis Prediction of Lung Squamous Cell Carcinoma. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'19). Springer, Cham, 2019: 113-121. 

Huang J, Zhou L, Wang L, Zhang D.  Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI'19). Springer, Cham, 2019: 691-699.

Li J, Shao W, Li Z, Li W, Zhang D.  Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. International Workshop on Machine Learning in Medical Imaging. Springer, Cham, 2019: 142-150. 

Chen R, Li Z, Zhang D.  Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption. International Workshop on Human Brain and Artificial Intelligence. Springer, Singapore, 2019: 235-247. 

Wang M, Huang J, Liu M, Zhang D.  Functional connectivity network analysis with discriminative hub detection for brain disease identification. Proceedings of the AAAI Conference on Artificial Intelligence. 2019, 33: 1198-1205. 

Li Z, Zhang T, Wan P, Zhang D.  SEGAN: structure-enhanced generative adversarial network for compressed sensing MRI reconstruction. Proceedings of the AAAI Conference on Artificial Intelligence. 2019, 33: 1012-1019.