| From action to activity: Sensor-based activity recognition Y Liu, L Nie, L Liu, DS Rosenblum Neurocomputing 181, 108-115, 2016 | 533 | 2016 |
| Towards unsupervised physical activity recognition using smartphone accelerometers Y Lu, Y Wei, L Liu, J Zhong, L Sun, Y Liu Multimedia Tools and Applications 76, 10701-10719, 2017 | 269 | 2017 |
| Recognizing Complex Activities by a Probabilistic Interval-Based Model. L Liu, L Cheng, Y Liu, Y Jia, DS Rosenblum AAAI 30, 1266-1272, 2016 | 214 | 2016 |
| Prediction of Breast Cancer, Comparative Review of Machine Learning Techniques, and Their Analysis N Fatima, L Liu, S Hong, H Ahmed IEEE Access 8, 150360-150376, 2020 | 173 | 2020 |
| Cropping and attention based approach for masked face recognition Y Li, K Guo, Y Lu, L Liu Applied Intelligence 51, 3012-3025, 2021 | 172 | 2021 |
| Sensor-based human activity recognition system with a multilayered model using time series shapelets L Liu, Y Peng, M Liu, Z Huang Knowledge-Based Systems 90, 138-152, 2015 | 128 | 2015 |
| A real-time EEG-based BCI system for attention recognition in ubiquitous environment Y Li, X Li, M Ratcliffe, L Liu, Y Qi, Q Liu Proceedings of 2011 international workshop on Ubiquitous affective awareness …, 2011 | 107 | 2011 |
| Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors L Liu, Y Peng, S Wang, M Liu, Z Huang Information Sciences 340, 41-57, 2016 | 106 | 2016 |
| Group awareness increases student engagement in online collaborative writing M Liu, L Liu, L Liu The Internet and Higher Education 38, 1-8, 2018 | 92 | 2018 |
| Human activity recognition in a smart home environment with stacked denoising autoencoders A Wang, G Chen, C Shang, M Zhang, L Liu Web-Age Information Management: WAIM 2016 International Workshops, MWDA …, 2016 | 87 | 2016 |
| Wavelet packet analysis for speaker-independent emotion recognition K Wang, G Su, L Liu, S Wang Neurocomputing 398, 257-264, 2020 | 80 | 2020 |
| Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition L Liu, S Wang, B Hu, Q Qiong, J Wen, DS Rosenblum Pattern Recognition 81, 545-561, 2018 | 79 | 2018 |
| A rolling grey model optimized by particle swarm optimization in economic prediction L Liu, Q Wang, J Wang, M Liu Computational Intelligence 32 (3), 391-419, 2016 | 79 | 2016 |
| Automated essay feedback generation and its impact on revision M Liu, Y Li, W Xu, L Liu IEEE Transactions on Learning Technologies 10 (4), 502-513, 2016 | 72 | 2016 |
| Predicting Beijing's tertiary industry with an improved grey model Q Wang, L Liu, S Wang, JZ Wang, M Liu Applied Soft Computing 57, 482-494, 2017 | 58 | 2017 |
| Towards complex activity recognition using a Bayesian network-based probabilistic generative framework L Liu, S Wang, G Su, ZG Huang, M Liu Pattern Recognition 68, 295-309, 2017 | 58 | 2017 |
| Automatic chinese factual question generation M Liu, V Rus, L Liu IEEE Transactions on Learning Technologies 10 (2), 194-204, 2016 | 58 | 2016 |
| Improve Affective Learning with EEG Approach X Li, Q Zhao, L Liu, H Peng, Y Qi, C Mao, Z Fang, Q Liu, B Hu Computing and Informatics 29 (4), 557-570, 2010 | 50 | 2010 |
| Deep learning for image colorization: Current and future prospects S Huang, X Jin, Q Jiang, L Liu Engineering Applications of Artificial Intelligence 114, 105006, 2022 | 46 | 2022 |
| Energy conservation algorithms for maintaining coverage and connectivity in wireless sensor networks L Liu, B Hu, L Li IET communications 4 (7), 786-800, 2010 | 46 | 2010 |
Guoxin SuUniversity of Wollongong在 uow.edu.au 的电子邮件经过验证
