| Time series k-means: A new k-means type smooth subspace clustering for time series data X Huang, Y Ye, L Xiong, RYK Lau, N Jiang, S Wang Information Sciences 367, 1-13, 2016 | 185 | 2016 |
| Global dynamics of delay epidemic models with nonlinear incidence rate and relapse S Liu, S Wang, L Wang Nonlinear Analysis: Real World Applications 12 (1), 119-127, 2011 | 70 | 2011 |
| An SEI infection model incorporating media impact X Lu, S Wang, S Liu, J Li Mathematical Biosciences & Engineering 14 (5&6), 1317-1335, 2017 | 32 | 2017 |
| Anchor link prediction across attributed networks via network embedding S Wang, X Li, Y Ye, S Feng, RYK Lau, X Huang, X Du Entropy 21 (3), 254, 2019 | 24 | 2019 |
| Detection of oil spill through fully convolutional network Y Li, X Yang, Y Ye, L Cui, B Jia, Z Jiang, S Wang Geo-Spatial Knowledge and Intelligence: 5th International Conference, GSKI …, 2018 | 19 | 2018 |
| Multi-view learning via multiple graph regularized generative model S Wang, EK Wang, X Li, Y Ye, RYK Lau, X Du Knowledge-Based Systems 121, 153-162, 2017 | 14 | 2017 |
| Multi-attribute and relational learning via hypergraph regularized generative model S Wang, X Li, Y Ye, X Huang, Y Li Neurocomputing 274, 115-124, 2018 | 10 | 2018 |
| Clustering time-stamped data using multiple nonnegative matrices factorization X Huang, Y Ye, L Xiong, S Wang, X Yang Knowledge-Based Systems 114, 88-98, 2016 | 7 | 2016 |
| Semi-supervised collective classification in multi-attribute network data S Wang, Y Ye, X Li, X Huang, RYK Lau Neural Processing Letters 45, 153-172, 2017 | 5 | 2017 |
| A generative model with ensemble manifold regularization for multi-view clustering S Wang, Y Ye, RYK Lau Advanced Intelligent Computing Theories and Applications: 11th International …, 2015 | 4 | 2015 |
| Representation learning with complete semantic description of knowledge graphs W Chen, C Luo, S Wang, Y Ye 2017 International Conference on Machine Learning and Cybernetics (ICMLC) 1 …, 2017 | 3 | 2017 |
| A generative model with hypergraph regularizers for protein function prediction S Wang, X Li, Y Ye, Y Li, X Huang, X Du 2017 International Joint Conference on Neural Networks (IJCNN), 1289-1296, 2017 | | 2017 |
| PARALLEL MULTIPLE NONNEGATIVE MATRICES FACTORIZATION USING GRAPHICS PROCESSING UNIT X Huang, X Fu, L Xiong, Y Ye, S Wang, X Du | | |
Xutao LiHarbin Institute of TechnologyVerified email at hit.edu.cn
