| From action to activity: Sensor-based activity recognition Y Liu, L Nie, L Liu, DS Rosenblum Neurocomputing 181, 108-115, 2016 | 441 | 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 (8), 10701-10719, 2017 | 217 | 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 | 194 | 2016 |
| 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 | 79 | 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 | 64 | 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 | 63 | 2016 |
| 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 | 54 | 2016 |
| 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 | 48 | 2018 |
| Human Activity Recognition in a Smart Home Environment with Stacked Denoising Autoencoders A Wang, G Chen, C Shang, M Zhang, L Liu International Conference on Web-Age Information Management, 29-40, 2016 | 47 | 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 | 42 | 2017 |
| 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 | 41 | 2010 |
| 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 | 40 | 2017 |
| Improving individual identification in security check with an EEG based biometric solution Q Zhao, H Peng, B Hu, Q Liu, L Liu, YB Qi, L Li International Conference on Brain Informatics, 145-155, 2010 | 40 | 2010 |
| 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 | 38 | 2010 |
| Preemptive hadoop jobs scheduling under a deadline L Liu, Y Zhou, M Liu, G Xu, X Chen, D Fan, Q Wang 2012 Eighth International Conference on Semantics, Knowledge and Grids, 72-79, 2012 | 34 | 2012 |
| Automatic chinese factual question generation M Liu, V Rus, L Liu IEEE Transactions on Learning Technologies 10 (2), 194-204, 2016 | 27 | 2016 |
| A pervasive EEG-based biometric system B Hu, C Mao, W Campbell, P Moore, L Liu, G Zhao Proceedings of 2011 international workshop on Ubiquitous affective awareness …, 2011 | 25 | 2011 |
| Group awareness increases student engagement in online collaborative writing M Liu, L Liu, L Liu The Internet and Higher Education 38, 1-8, 2018 | 24 | 2018 |
| Latent feature learning for activity recognition using simple sensors in smart homes G Chen, A Wang, S Zhao, L Liu, CY Chang Multimedia Tools and Applications 77 (12), 15201-15219, 2018 | 24 | 2018 |
| Using ant colony optimization for superscheduling in computational grid L Liu, Y Yang, L Li, W Shi 2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 539-545, 2006 | 24 | 2006 |
Yuxin PengZhejiang UniversityVerified email at zju.edu.cn
