| StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones R Wang, F Chen, Z Chen, T Li, G Harari, S Tignor, X Zhou, D Ben-Zeev, ... Proceedings of the 2014 ACM international joint conference on pervasive and …, 2014 | 1376 | 2014 |
| Unobtrusive sleep monitoring using smartphones Z Chen, M Lin, F Chen, ND Lane, G Cardone, R Wang, T Li, Y Chen, ... 2013 7th International Conference on Pervasive Computing Technologies for …, 2013 | 446 | 2013 |
| Carsafe app: Alerting drowsy and distracted drivers using dual cameras on smartphones CW You, ND Lane, F Chen, R Wang, Z Chen, TJ Bao, M Montes-de-Oca, ... Proceeding of the 11th annual international conference on Mobile systems …, 2013 | 309 | 2013 |
| Task-adaptive attention for image captioning C Yan, Y Hao, L Li, J Yin, A Liu, Z Mao, Z Chen, X Gao IEEE Transactions on Circuits and Systems for Video technology 32 (1), 43-51, 2021 | 255 | 2021 |
| Advancing image understanding in poor visibility environments: A collective benchmark study W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ... IEEE Transactions on Image Processing 29, 5737-5752, 2020 | 237 | 2020 |
| Multimodel framework for indoor localization under mobile edge computing environment W Li, Z Chen, X Gao, W Liu, J Wang IEEE Internet of Things Journal 6 (3), 4844-4853, 2018 | 183 | 2018 |
| Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns Y Xu, M Lin, H Lu, G Cardone, N Lane, Z Chen, A Campbell, T Choudhury Proceedings of the 2013 International Symposium on Wearable Computers, 69-76, 2013 | 171 | 2013 |
| Adaptive weighted imbalance learning with application to abnormal activity recognition X Gao, Z Chen, S Tang, Y Zhang, J Li Neurocomputing 173, 1927-1935, 2016 | 126 | 2016 |
| Patterns of behavior change in students over an academic term: A preliminary study of activity and sociability behaviors using smartphone sensing methods GM Harari, SD Gosling, R Wang, F Chen, Z Chen, AT Campbell Computers in Human Behavior 67, 129-138, 2017 | 101 | 2017 |
| ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data Z Chen, Y Chen, L Hu, S Wang, X Jiang, X Ma, ND Lane, AT Campbell Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014 | 76 | 2014 |
| Ultra short-term power load forecasting based on combined LSTM-XGBoost model Z Chen, J Liu, C Li, X Ji, D Li, Y Huang, F Di, X Gao, L Xu Power System Technology 44 (2), 614-620, 2020 | 72 | 2020 |
| A class incremental extreme learning machine for activity recognition Z Zhao, Z Chen, Y Chen, S Wang, H Wang Cognitive Computation 6 (3), 423-431, 2014 | 70 | 2014 |
| Extreme learning machine-based device displacement free activity recognition model Y Chen, Z Zhao, S Wang, Z Chen Soft Computing 16, 1617-1625, 2012 | 64 | 2012 |
| FallAlarm: smart phone based fall detecting and positioning system Z Zhao, Y Chen, S Wang, Z Chen Procedia Computer Science 10, 617-624, 2012 | 63 | 2012 |
| StudentLife: Using smartphones to assess mental health and academic performance of college students R Wang, F Chen, Z Chen, T Li, G Harari, S Tignor, X Zhou, D Ben-Zeev, ... Mobile Health: Sensors, Analytic Methods, and Applications, 7-33, 2017 | 62 | 2017 |
| Sparse online learning of image similarity X Gao, SCH Hoi, Y Zhang, J Zhou, J Wan, Z Chen, J Li, J Zhu ACM Transactions on Intelligent Systems and Technology (TIST) 8 (5), 1-22, 2017 | 60 | 2017 |
| Feature adaptive online sequential extreme learning machine for lifelong indoor localization X Jiang, J Liu, Y Chen, D Liu, Y Gu, Z Chen Neural Computing and Applications 27, 215-225, 2016 | 47 | 2016 |
| Inferring social contextual behavior from bluetooth traces Z Chen, Y Chen, S Wang, J Liu, X Gao, AT Campbell Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013 | 46 | 2013 |
| Unobtrusive sensing incremental social contexts using fuzzy class incremental learning Z Chen, Y Chen, X Gao, S Wang, L Hu, CC Yan, ND Lane, C Miao 2015 IEEE International Conference on Data Mining, 71-80, 2015 | 43 | 2015 |
| Power load forecasting based on the combined model of LSTM and XGBoost C Li, Z Chen, J Liu, D Li, X Gao, F Di, L Li, X Ji Proceedings of the 2019 the international conference on pattern recognition …, 2019 | 40 | 2019 |