| A weighted support vector machine for data classification X Yang, Q Song, Y Wang International Journal of Pattern Recognition and Artificial Intelligence 21 …, 2007 | 226 | 2007 |
| A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised X Niu, L Wang, X Yang preprint arXiv:1904.10604, 2019 | 175 | 2019 |
| 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 | 169 | 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 | 149 | 2017 |
| Weighted support vector machine for data classification X Yang, Q Song, A Cao Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 121 | 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 | 111 | 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 | 95 | 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 | 87 | 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 | 78 | 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 | 67 | 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 | 64 | 2020 |
| Multi-Target Deep Neural Networks: Theoretical Analysis and Implementation Z Zeng, N Liang, X Yang, S Hoi Neurocomputing, 2017 | 42 | 2017 |
| Non-cooperative game algorithms for computation offloading in mobile edge computing environments J Chen, Q Deng, X Yang Journal of Parallel and Distributed Computing 172, 18-31, 2023 | 41 | 2023 |
| 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 |
| Semignn-ppi: Self-ensembling multi-graph neural network for efficient and generalizable protein-protein interaction prediction Z Zhao, P Qian, X Yang, Z Zeng, C Guan, WL Tam, X Li arXiv preprint arXiv:2305.08316, 2023 | 37 | 2023 |
| 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 | 36 | 2017 |
| Robust recurrent neural network control of biped robot Y Wu, Q Song, X Yang Journal of Intelligent and Robotic Systems 49 (2), 151-169, 2007 | 35 | 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 10, 2016.832-025, 2016 | 34 | 2016 |
| Facial feature embedded CycleGAN for VIS–NIR translation H Wang, H Zhang, L Yu, X Yang Multidimensional Systems and Signal Processing 34 (2), 423-446, 2023 | 33 | 2023 |
| Seeground: See and ground for zero-shot open-vocabulary 3d visual grounding R Li, S Li, L Kong, X Yang, J Liang Proceedings of the Computer Vision and Pattern Recognition Conference, 3707-3717, 2025 | 32 | 2025 |
Zeng ZengI2R, A*STAR, SingaporeVerified email at i2r.a-star.edu.sg
