| Driver distraction detection using semi-supervised machine learning T Liu, Y Yang, GB Huang, YK Yeo, Z Lin IEEE transactions on intelligent transportation systems 17 (4), 1108-1120, 2015 | 222 | 2015 |
| Discriminative clustering via extreme learning machine G Huang, T Liu, Y Yang, Z Lin, S Song, C Wu Neural Networks 70, 1-8, 2015 | 53 | 2015 |
| Extreme learning machine for joint embedding and clustering T Liu, CKL Lekamalage, GB Huang, Z Lin Neurocomputing 277, 78-88, 2018 | 52* | 2018 |
| ELM based smile detection using distance vector D Cui, GB Huang, T Liu Pattern Recognition 79, 356-369, 2018 | 44 | 2018 |
| Learning representations with local and global geometries preserved for machine fault diagnosis Y Li, CKL Lekamalage, T Liu, PA Chen, GB Huang IEEE Transactions on Industrial Electronics 67 (3), 2360-2370, 2019 | 39 | 2019 |
| Extreme learning machine for clustering CKL Lekamalage, T Liu, Y Yang, Z Lin, GB Huang Proceedings of ELM-2014 Volume 1: Algorithms and Theories, 435-444, 2015 | 33 | 2015 |
| The deep learning model combining CT image and clinicopathological information for predicting ALK fusion status and response to ALK-TKI therapy in non-small cell lung cancer … Z Song, T Liu, L Shi, Z Yu, Q Shen, M Xu, Z Huang, Z Cai, W Wang, C Xu, ... European Journal of Nuclear Medicine and Molecular Imaging 48, 361-371, 2021 | 32 | 2021 |
| An adaptive graph learning method based on dual data representations for clustering T Liu, CKL Lekamalage, GB Huang, Z Lin Pattern Recognition 77, 126-139, 2018 | 29 | 2018 |
| Driver workload detection in on-road driving environment using machine learning Y Yang, H Sun, T Liu, GB Huang, O Sourina Proceedings of ELM-2014 Volume 2: Applications, 389-398, 2015 | 24 | 2015 |
| Smile detection using pair-wise distance vector and extreme learning machine D Cui, GB Huang, T Liu 2016 International Joint Conference on Neural Networks (IJCNN), 2298-2305, 2016 | 22 | 2016 |
| Detection of drivers’ distraction using semi-supervised extreme learning machine T Liu, Y Yang, GB Huang, Z Lin Proceedings of ELM-2014 Volume 2: Applications, 379-387, 2015 | 21 | 2015 |
| Two-stage structured learning approach for stable occupancy detection T Liu, Y Li, Z Bai, J De, CV Le, Z Lin, SH Lin, GB Huang, D Cui 2016 international joint conference on neural networks (IJCNN), 2306-2312, 2016 | 18 | 2016 |
| Cluster regularized extreme learning machine for detecting mixed-type distraction in driving T Liu, Y Yang, GB Huang, Z Lin, F Klanner, C Denk, RH Rasshofer 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 16 | 2015 |
| Manifold ranking based scoring system with its application to cardiac arrest prediction: a retrospective study in emergency department patients T Liu, Z Lin, MEH Ong, ZX Koh, PP Pek, YK Yeo, BS Oh, AFW Ho, N Liu Computers in Biology and Medicine 67, 74-82, 2015 | 15 | 2015 |
| Simultaneously learning affinity matrix and data representations for machine fault diagnosis Y Li, Y Zeng, T Liu, X Jia, GB Huang Neural Networks 122, 395-406, 2020 | 12 | 2020 |
| Direct detection and measurement of nuchal translucency with neural networks from ultrasound images T Liu, M Xu, Z Zhang, C Dai, H Wang, R Zhang, L Shi, S Wu Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image …, 2019 | 8 | 2019 |
| Effects of two new features of approximate entropy and sample entropy on cardiac arrest prediction Y Gao, Z Lin, TT Zhang, N Liu, T Liu, W Ser, ZX Koh, MEH Ong 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 65-68, 2015 | 6 | 2015 |
| Clustering and semi-supervised classification with application to driver distraction detection T Liu | | 2018 |
Guang-Bin HuangFull Professor, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
