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 | 151 | 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 | 115 | 2020 |
Revisiting over-smoothing in deep GCNs C Yang, R Wang, S Yao, S Liu, T Abdelzaher arXiv preprint arXiv:2003.13663, 2020 | 94 | 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 | 90 | 2020 |
Context-aware data quality estimation in mobile crowdsensing S Liu, Z Zheng, F Wu, S Tang, G Chen IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 89 | 2017 |
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 | 71 | 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 | 70 | 2020 |
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 | 61 | 2018 |
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 | 49 | 2020 |
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 | 48 | 2019 |
On removing algorithmic priority inversion from mission-critical machine inference pipelines S Liu, S Yao, X Fu, R Tabish, S Yu, A Bansal, H Yun, L Sha, T Abdelzaher 2020 IEEE Real-Time Systems Symposium (RTSS), 319-332, 2020 | 44 | 2020 |
Contrastive self-supervised representation learning for sensing signals from the time-frequency perspective D Liu, T Wang, S Liu, R Wang, S Yao, T Abdelzaher 2021 International Conference on Computer Communications and Networks (ICCCN …, 2021 | 34 | 2021 |
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network S Liu, S Yao, Y Huang, D Liu, H Shao, Y Zhao, J Li, T Wang, R Wang, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 30 | 2020 |
Multiscale online media simulation with socialcube T Abdelzaher, J Han, Y Hao, A Jing, D Liu, S Liu, HH Nguyen, DM Nicol, ... Computational and Mathematical Organization Theory 26, 145-174, 2020 | 30 | 2020 |
Dydiff-vae: A dynamic variational framework for information diffusion prediction R Wang, Z Huang, S Liu, H Shao, D Liu, J Li, T Wang, D Sun, S Yao, ... Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 29 | 2021 |
Apdeepsense: Deep learning uncertainty estimation without the pain for iot applications S Yao, Y Zhao, H Shao, C Zhang, A Zhang, D Liu, S Liu, L Su, ... 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 28 | 2018 |
On exploring image resizing for optimizing criticality-based machine perception Y Hu, S Liu, T Abdelzaher, M Wigness, P David 2021 IEEE 27th International Conference on Embedded and Real-Time Computing …, 2021 | 27 | 2021 |
paper2repo: GitHub repository recommendation for academic papers H Shao, D Sun, J Wu, Z Zhang, A Zhang, S Yao, S Liu, T Wang, C Zhang, ... Proceedings of The Web Conference 2020, 629-639, 2020 | 27 | 2020 |
Learning to sample and aggregate: Few-shot reasoning over temporal knowledge graphs R Wang, Z Li, D Sun, S Liu, J Li, B Yin, T Abdelzaher Advances in Neural Information Processing Systems 35, 16863-16876, 2022 | 24 | 2022 |
Real-time task scheduling for machine perception in intelligent cyber-physical systems S Liu, S Yao, X Fu, H Shao, R Tabish, S Yu, A Bansal, H Yun, L Sha, ... IEEE Transactions on Computers, 2021 | 23 | 2021 |