| 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 | 174 | 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 | 159 | 2020 |
| Revisiting over-smoothing in deep GCNs C Yang, R Wang, S Yao, S Liu, T Abdelzaher arXiv preprint arXiv:2003.13663, 2020 | 127 | 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 | 123 | 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 | 97 | 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 | 89 | 2019 |
| Globalfusion: 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 | 83 | 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 | 69 | 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 | 58 | 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 | 56 | 2019 |
| 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 | 50 | 2021 |
| 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 | 50 | 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 | 44 | 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 | 40 | 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 | 38 | 2022 |
| 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 | 36 | 2020 |
| Adamask: Enabling machine-centric video streaming with adaptive frame masking for dnn inference offloading S Liu, T Wang, J Li, D Sun, M Srivastava, T Abdelzaher Proceedings of the 30th ACM international conference on multimedia, 3035-3044, 2022 | 35 | 2022 |
| 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 | 35 | 2021 |
| 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 | 31 | 2020 |
| On exploring attention-based explanation for transformer models in text classification S Liu, F Le, S Chakraborty, T Abdelzaher 2021 IEEE International Conference on Big Data (Big Data), 1193-1203, 2021 | 29 | 2021 |
Tarek AbdelzaherUniversity of IllinoisAdresse e-mail validée de illinois.edu
