| Intelligent sleep stage mining service with smartphones W Gu, Z Yang, L Shangguan, W Sun, K Jin, Y Liu Proceedings of the 2014 ACM international Joint Conference on pervasive and …, 2014 | 103 | 2014 |
| Freecount: Device-free crowd counting with commodity wifi H Zou, Y Zhou, J Yang, W Gu, L Xie, C Spanos GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 101 | 2017 |
| Design automation for smart building systems R Jia, B Jin, M Jin, Y Zhou, IC Konstantakopoulos, H Zou, J Kim, D Li, ... Proceedings of the IEEE 106 (9), 1680-1699, 2018 | 99 | 2018 |
| Wifi-based human identification via convex tensor shapelet learning H Zou, Y Zhou, J Yang, W Gu, L Xie, C Spanos Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 99 | 2018 |
| Sleep hunter: Towards fine grained sleep stage tracking with smartphones W Gu, L Shangguan, Z Yang, Y Liu IEEE Transactions on Mobile Computing 15 (6), 1514-1527, 2015 | 84 | 2015 |
| Freedetector: Device-free occupancy detection with commodity wifi H Zou, Y Zhou, J Yang, W Gu, L Xie, C Spanos 2017 IEEE International Conference on Sensing, Communication and Networking …, 2017 | 77 | 2017 |
| Sugarmate: Non-intrusive blood glucose monitoring with smartphones W Gu, Y Zhou, Z Zhou, X Liu, H Zou, P Zhang, CJ Spanos, L Zhang Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2017 | 58 | 2017 |
| Non-parametric outliers detection in multiple time series a case study: Power grid data analysis Y Zhou, H Zou, R Arghandeh, W Gu, C Spanos Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 36 | 2018 |
| Bikemate: Bike riding behavior monitoring with smartphones W Gu, Z Zhou, Y Zhou, H Zou, Y Liu, CJ Spanos, L Zhang Proceedings of the 14th eai international conference on mobile and …, 2017 | 34 | 2017 |
| Attention-based LSTM-CNNs for time-series classification Q Du, W Gu, L Zhang, SL Huang Proceedings of the 16th ACM conference on embedded networked sensor systems …, 2018 | 33 | 2018 |
| Sherlock: Micro-environment sensing for smartphones Z Yang, L Shangguan, W Gu, Z Zhou, C Wu, Y Liu IEEE Transactions on Parallel and Distributed Systems 25 (12), 3295-3305, 2014 | 32 | 2014 |
| CausalBG: Causal recurrent neural network for the blood glucose inference with IoT platform M He, W Gu, Y Kong, L Zhang, CJ Spanos, KM Mosalam IEEE Internet of Things Journal 7 (1), 598-610, 2019 | 31 | 2019 |
| Graph neural network for traffic forecasting: The research progress W Jiang, J Luo, M He, W Gu ISPRS International Journal of Geo-Information 12 (3), 100, 2023 | 26 | 2023 |
| Speech emotion recognition via attention-based dnn from multi-task learning F Ma, W Gu, W Zhang, S Ni, SL Huang, L Zhang Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems …, 2018 | 23 | 2018 |
| Predicting blood glucose dynamics with multi-time-series deep learning W Gu, Z Zhou, Y Zhou, M He, H Zou, L Zhang Proceedings of the 15th ACM conference on embedded network sensor systems, 1-2, 2017 | 22 | 2017 |
| Multiple kernel representation learning for WiFi-based human activity recognition H Zou, Y Zhou, J Yang, W Gu, L Xie, C Spanos 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 19 | 2017 |
| Measuring fine-grained metro interchange time via smartphones W Gu, K Zhang, Z Zhou, M Jin, Y Zhou, X Liu, CJ Spanos, ZJM Shen, ... Transportation research part C: emerging technologies 81, 153-171, 2017 | 19 | 2017 |
| Metroeye: smart tracking your metro trips underground W Gu, M Jin, Z Zhou, CJ Spanos, L Zhang Proceedings of the 13th international conference on mobile and ubiquitous …, 2016 | 17 | 2016 |
| Non-intrusive blood glucose monitor by multi-task deep learning: PhD forum abstract W Gu Proceedings of the 16th ACM/IEEE International Conference on Information …, 2017 | 16 | 2017 |
| Poster: WiFi-based device-free human activity recognition via automatic representation learning H Zou, Y Zhou, J Yang, W Gu, L Xie, C Spanos Proceedings of the 23rd annual international conference on mobile computing …, 2017 | 15 | 2017 |
Costas SpanosProfessor of Electrical Engineering and Computer Sciences, University of California, BerkeleyVerified email at berkeley.edu
