| A weighted support vector machine for data classification X Yang, Q Song, Y Wang International Journal of Pattern Recognition and Artificial Intelligence 21 …, 2007 | 198 | 2007 |
| A hybrid regression technique for house prices prediction S Lu, Z Li, Z Qin, X Yang, RSM Goh 2017 IEEE international conference on industrial engineering and engineering …, 2017 | 118 | 2017 |
| A novel multi-task deep learning model for skin lesion segmentation and classification X Yang, Z Zeng, SY Yeo, C Tan, HL Tey, Y Su arXiv preprint arXiv:1703.01025, 2017 | 117 | 2017 |
| A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised X Niu, L Wang, X Yang preprint arXiv:1904.10604, 2019 | 103 | 2019 |
| Weighted support vector machine for data classification X Yang, Q Song, A Cao Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 95 | 2005 |
| Exploiting spatio-temporal correlations with multiple 3d convolutional neural networks for citywide vehicle flow prediction C Chen, K Li, SG Teo, G Chen, X Zou, X Yang, RC Vijay, J Feng, Z Zeng 2018 IEEE international conference on data mining (ICDM), 893-898, 2018 | 94 | 2018 |
| CardioXNet: automated detection for cardiomegaly based on deep learning Q Que, Z Tang, R Wang, Z Zeng, J Wang, M Chua, TS Gee, X Yang, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 68 | 2018 |
| Deep learning for practical image recognition: Case study on kaggle competitions X Yang, Z Zeng, SG Teo, L Wang, V Chandrasekhar, S Hoi Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 67 | 2018 |
| Tracknet-a deep learning based fault detection for railway track inspection A James, W Jie, Y Xulei, Y Chenghao, NB Ngan, L Yuxin, S Yi, ... 2018 International Conference on Intelligent Rail Transportation (ICIRT), 1-5, 2018 | 56 | 2018 |
| Multiple local 3D CNNs for region-based prediction in smart cities Y Chen, X Zou, K Li, K Li, X Yang, C Chen Information Sciences 542, 476-491, 2020 | 48 | 2020 |
| Multi-target deep learning for algal detection and classification P Qian, Z Zhao, H Liu, Y Wang, Y Peng, S Hu, J Zhang, Y Deng, Z Zeng 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 41 | 2020 |
| Robust information clustering incorporating spatial information for breast mass detection in digitized mammograms A Cao, Q Song, X Yang Computer Vision and Image Understanding 109 (1), 86-96, 2008 | 38 | 2008 |
| Multi-Target Deep Neural Networks: Theoretical Analysis and Implementation Z Zeng, N Liang, X Yang, S Hoi Neurocomputing, 2017 | 36 | 2017 |
| Deep Convolutional Neural Networks for Automatic Segmentation of Left Ventricle Cavity from Cardiac Magnetic Resonance Images X Yang, Z Zeng, S Yi IET Computer Vision, 2017 | 35 | 2017 |
| Robust recurrent neural network control of biped robot Y Wu, Q Song, X Yang Journal of Intelligent and Robotic Systems 49, 151-169, 2007 | 34 | 2007 |
| A deep learning approach for tumor tissue image classification X Yang, SY Yeo, JM Hong, ST Wong, WT Tang, ZZ Wu, G Lee, S Chen, ... IASTED Biomedical Engineering, 2016 | 31 | 2016 |
| Mammographic mass detection by vicinal support vector machine A Cao, Q Song, X Yang, S Liu, C Guo 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 30 | 2004 |
| A robust deterministic annealing algorithm for data clustering XL Yang, Q Song, YL Wu Data & Knowledge Engineering 62 (1), 84-100, 2007 | 26 | 2007 |
| Automatic detection of anatomical landmarks in brain MR scanning using multi-task deep neural networks X Yang, WT Tang, G Tjio, SY Yeo, Y Su Neurocomputing 396, 514-521, 2020 | 23 | 2020 |
| Sese-net: Self-supervised deep learning for segmentation Z Zeng, Y Xulei, Y Qiyun, Y Meng, Z Le Pattern Recognition Letters 128, 23-29, 2019 | 23 | 2019 |
Zeng ZengI2R, A*STAR, Singapore在 i2r.a-star.edu.sg 的电子邮件经过验证
