| GMC: Graph-based multi-view clustering H Wang, Y Yang, B Liu IEEE Transactions on Knowledge and Data Engineering 32 (6), 1116-1129, 2019 | 757 | 2019 |
| Multi-view clustering: A survey Y Yang, H Wang Big data mining and analytics 1 (2), 83-107, 2018 | 492 | 2018 |
| A study of graph-based system for multi-view clustering H Wang, Y Yang, B Liu, H Fujita Knowledge-Based Systems 163, 1009-1019, 2019 | 337 | 2019 |
| Spectral perturbation meets incomplete multi-view data H Wang, L Zong, B Liu, Y Yang, W Zhou arXiv preprint arXiv:1906.00098, 2019 | 154 | 2019 |
| Multi-view clustering via concept factorization with local manifold regularization H Wang, Y Yang, T Li 2016 IEEE 16th international conference on data mining (ICDM), 1245-1250, 2016 | 131 | 2016 |
| Traffic flow forecasting based on hybrid deep learning framework S Du, T Li, X Gong, Y Yang, SJ Horng 2017 12th international conference on intelligent systems and knowledge …, 2017 | 99 | 2017 |
| A modified ant colony optimization algorithm for network coding resource minimization Z Wang, H Xing, T Li, Y Yang, R Qu, Y Pan IEEE Transactions on evolutionary computation 20 (3), 325-342, 2015 | 86 | 2015 |
| Semi-supervised hierarchical clustering ensemble and its application W Xiao, Y Yang, H Wang, T Li, H Xing Neurocomputing 173, 1362-1376, 2016 | 69 | 2016 |
| Learning with noisy labels for sentence-level sentiment classification H Wang, B Liu, C Li, Y Yang, T Li arXiv preprint arXiv:1909.00124, 2019 | 45 | 2019 |
| Learning features from high speed train vibration signals with deep belief networks J Xie, T Li, Y Yang, W Jin 2014 International Joint Conference on Neural Networks (IJCNN), 2205-2210, 2014 | 42 | 2014 |
| Spatial-temporal dynamic graph convolution neural network for air quality prediction X Ouyang, Y Yang, Y Zhang, W Zhou 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 27 | 2021 |
| Deep neural networks with broad views for Parkinson's disease screening X Zhang, Y Yang, H Wang, S Ning, H Wang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 25 | 2019 |
| Weakly supervised semantic segmentation by iteratively refining optimal segmentation with deep cues guidance Z Al-Huda, B Peng, Y Yang, RNA Algburi, M Ahmad, F Khurshid, ... Neural Computing and Applications 33, 9035-9060, 2021 | 24 | 2021 |
| An LSTM based encoder-decoder model for MultiStep traffic flow prediction S Du, T Li, Y Yang, X Gong, SJ Horng 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 24 | 2019 |
| Parallel semi-supervised multi-ant colonies clustering ensemble based on mapreduce methodology Y Yang, F Teng, T Li, H Wang, H Wang, Q Zhang IEEE Transactions on Cloud Computing 6 (3), 857-867, 2015 | 23 | 2015 |
| Bayesian image segmentation fusion H Wang, Y Zhang, R Nie, Y Yang, B Peng, T Li Knowledge-Based Systems 71, 162-168, 2014 | 22 | 2014 |
| Optimal scale of hierarchical image segmentation with scribbles guidance for weakly supervised semantic segmentation Z Al-Huda, D Zhai, Y Yang, RNA Algburi International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021 | 21 | 2021 |
| A parallel Cop-Kmeans clustering algorithm based on MapReduce framework C Lin, Y Yang, T Rutayisire Knowledge Engineering and Management: Proceedings of the Sixth International …, 2011 | 21 | 2011 |
| Citytrans: Domain-adversarial training with knowledge transfer for spatio-temporal prediction across cities X Ouyang, Y Yang, W Zhou, Y Zhang, H Wang, W Huang IEEE Transactions on Knowledge and Data Engineering 36 (1), 62-76, 2023 | 18 | 2023 |
| Scheduling real-time workflow on MapReduce-based cloud F Teng, H Yang, T Li, Y Yang, Z Li Third International Conference on Innovative Computing Technology (INTECH …, 2013 | 18 | 2013 |
