DeepFM: a factorization-machine based neural network for CTR prediction H Guo, R Tang, Y Ye, Z Li, X He arXiv preprint arXiv:1703.04247, 2017 | 3088 | 2017 |
Hyperspectral image classification with deep learning models X Yang, Y Ye, X Li, RYK Lau, X Zhang, X Huang IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5408-5423, 2018 | 498 | 2018 |
An improved random forest classifier for text categorization. B Xu, X Guo, Y Ye, J Cheng J. Comput. 7 (12), 2913-2920, 2012 | 261 | 2012 |
Short text classification: a survey. G Song, Y Ye, X Du, X Huang, S Bie Journal of multimedia 9 (5), 2014 | 231 | 2014 |
TW-k-means: Automated two-level variable weighting clustering algorithm for multiview data X Chen, X Xu, JZ Huang, Y Ye IEEE Transactions on Knowledge and Data Engineering 25 (4), 932-944, 2011 | 228 | 2011 |
Road detection and centerline extraction via deep recurrent convolutional neural network U-Net X Yang, X Li, Y Ye, RYK Lau, X Zhang, X Huang IEEE Transactions on Geoscience and Remote Sensing 57 (9), 7209-7220, 2019 | 220 | 2019 |
Stratified sampling for feature subspace selection in random forests for high dimensional data Y Ye, Q Wu, JZ Huang, MK Ng, X Li Pattern Recognition 46 (3), 769-787, 2013 | 214 | 2013 |
A feature group weighting method for subspace clustering of high-dimensional data X Chen, Y Ye, X Xu, JZ Huang Pattern Recognition 45 (1), 434-446, 2012 | 188 | 2012 |
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 | 186 | 2016 |
ForesTexter: An efficient random forest algorithm for imbalanced text categorization Q Wu, Y Ye, H Zhang, MK Ng, SS Ho Knowledge-Based Systems 67, 105-116, 2014 | 176 | 2014 |
Deep reinforcement learning based recommendation with explicit user-item interactions modeling F Liu, R Tang, X Li, W Zhang, Y Ye, H Chen, H Guo, Y Zhang arXiv preprint arXiv:1810.12027, 2018 | 157 | 2018 |
Low-rank tensor completion with total variation for visual data inpainting X Li, Y Ye, X Xu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 148 | 2017 |
Multirank: co-ranking for objects and relations in multi-relational data MKP Ng, X Li, Y Ye Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 147 | 2011 |
Prototype completion with primitive knowledge for few-shot learning B Zhang, X Li, Y Ye, Z Huang, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 142 | 2021 |
Enhancing cross-target stance detection with transferable semantic-emotion knowledge B Zhang, M Yang, X Li, Y Ye, X Xu, K Dai Proceedings of the 58th annual meeting of the association for computational …, 2020 | 135 | 2020 |
A probabilistic generative model for mining cybercriminal networks from online social media RYK Lau, Y Xia, Y Ye IEEE Computational intelligence magazine 9 (1), 31-43, 2014 | 126 | 2014 |
Extensions of kmeans-type algorithms: A new clustering framework by integrating intracluster compactness and intercluster separation X Huang, Y Ye, H Zhang IEEE transactions on neural networks and learning systems 25 (8), 1433-1446, 2013 | 121 | 2013 |
MR-NTD: Manifold regularization nonnegative tucker decomposition for tensor data dimension reduction and representation X Li, MK Ng, G Cong, Y Ye, Q Wu IEEE transactions on neural networks and learning systems 28 (8), 1787-1800, 2016 | 115 | 2016 |
Classifying very high-dimensional data with random forests built from small subspaces B Xu, JZ Huang, G Williams, Q Wang, Y Ye International Journal of Data Warehousing and Mining (IJDWM) 8 (2), 44-63, 2012 | 112 | 2012 |
A generative adversarial gated recurrent unit model for precipitation nowcasting L Tian, X Li, Y Ye, P Xie, Y Li IEEE Geoscience and Remote Sensing Letters 17 (4), 601-605, 2019 | 111 | 2019 |