| Deepsense: A unified deep learning framework for time-series mobile sensing data processing S Yao, S Hu, Y Zhao, A Zhang, T Abdelzaher Proceedings of the 26th international conference on world wide web, 351-360, 2017 | 749 | 2017 |
| Towards environment independent device free human activity recognition W Jiang, C Miao, F Ma, S Yao, Y Wang, Y Yuan, H Xue, C Song, X Ma, ... Proceedings of the 24th annual international conference on mobile computing …, 2018 | 526 | 2018 |
| DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework S Yao, Y Zhao, A Zhang, L Su, T Abdelzaher SenSys '17 Proceedings of the 15th ACM Conference on Embedded Network Sensor …, 2017 | 258 | 2017 |
| Fastdeepiot: Towards understanding and optimizing neural network execution time on mobile and embedded devices S Yao, Y Zhao, H Shao, SZ Liu, D Liu, L Su, T Abdelzaher Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems …, 2018 | 168 | 2018 |
| Deep learning for the internet of things S Yao, Y Zhao, A Zhang, S Hu, H Shao, C Zhang, L Su, T Abdelzaher Computer 51 (5), 32-41, 2018 | 166 | 2018 |
| Deep compressive offloading: Speeding up neural network inference by trading edge computation for network latency S Yao, J Li, D Liu, T Wang, S Liu, H Shao, T Abdelzaher Proceedings of the 18th conference on embedded networked sensor systems, 476-488, 2020 | 147 | 2020 |
| Revisiting over-smoothing in deep GCNs C Yang, R Wang, S Yao, S Liu, T Abdelzaher arXiv preprint arXiv:2003.13663, 2020 | 120 | 2020 |
| Controlvae: Controllable variational autoencoder H Shao, S Yao, D Sun, A Zhang, S Liu, D Liu, J Wang, T Abdelzaher International conference on machine learning, 8655-8664, 2020 | 115 | 2020 |
| STFNets: Learning sensing signals from the time-frequency perspective with short-time fourier neural networks S Yao, A Piao, W Jiang, Y Zhao, H Shao, S Liu, D Liu, J Li, T Wang, S Hu, ... The World Wide Web Conference, 2192-2202, 2019 | 86 | 2019 |
| Giobalfusion: A global attentional deep learning framework for multisensor information fusion S Liu, S Yao, J Li, D Liu, T Wang, H Shao, T Abdelzaher Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 78 | 2020 |
| Scalable social sensing of interdependent phenomena S Wang, L Su, S Li, S Hu, T Amin, H Wang, S Yao, L Kaplan, ... Proceedings of the 14th international conference on information processing …, 2015 | 70 | 2015 |
| DeepMV: Multi-view deep learning for device-free human activity recognition H Xue, W Jiang, C Miao, F Ma, S Wang, Y Yuan, S Yao, A Zhang, L Su Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 68 | 2020 |
| Rdeepsense: Reliable deep mobile computing models with uncertainty estimations S Yao, Y Zhao, H Shao, A Zhang, C Zhang, S Li, T Abdelzaher Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 68 | 2018 |
| SenseGAN: Enabling deep learning for internet of things with a semi-supervised framework S Yao, Y Zhao, H Shao, C Zhang, A Zhang, S Hu, D Liu, S Liu, L Su, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 67 | 2018 |
| Semi-supervised hypergraph node classification on hypergraph line expansion C Yang, R Wang, S Yao, T Abdelzaher Proceedings of the 31st ACM International Conference on Information …, 2022 | 65 | 2022 |
| DeepFusion: A deep learning framework for the fusion of heterogeneous sensory data H Xue, W Jiang, C Miao, Y Yuan, F Ma, X Ma, Y Wang, S Yao, W Xu, ... Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc …, 2019 | 58 | 2019 |
| Unveiling polarization in social networks: A matrix factorization approach MT Al Amin, C Aggarwal, S Yao, T Abdelzaher, L Kaplan IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 57 | 2017 |
| Sadeepsense: Self-attention deep learning framework for heterogeneous on-device sensors in internet of things applications S Yao, Y Zhao, H Shao, D Liu, S Liu, Y Hao, A Piao, S Hu, S Lu, ... IEEE INFOCOm 2019-IEEE conference on computer communications, 1243-1251, 2019 | 55 | 2019 |
| Scheduling real-time deep learning services as imprecise computations S Yao, Y Hao, Y Zhao, H Shao, D Liu, S Liu, T Wang, J Li, T Abdelzaher 2020 IEEE 26th international conference on embedded and real-time computing …, 2020 | 54 | 2020 |
| CrossRoI: cross-camera region of interest optimization for efficient real time video analytics at scale H Guo, S Yao, Z Yang, Q Zhou, K Nahrstedt Proceedings of the 12th ACM Multimedia Systems Conference, 186-199, 2021 | 49 | 2021 |
Tarek AbdelzaherUniversity of IllinoisE-mail confirmado em illinois.edu