A participatory urban traffic monitoring system: The power of bus riders Z Liu, S Jiang, P Zhou, M Li IEEE Transactions on Intelligent Transportation Systems 18 (10), 2851-2864, 2017 | 80 | 2017 |
Flexible high-resolution object detection on edge devices with tunable latency S Jiang, Z Lin, Y Li, Y Shu, Y Liu Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | 72 | 2021 |
Memento: An emotion-driven lifelogging system with wearables S Jiang, Z Li, P Zhou, M Li ACM Transactions on Sensor Networks (TOSN) 15 (1), 1-23, 2019 | 57 | 2019 |
Empowering llm to use smartphone for intelligent task automation H Wen, Y Li, G Liu, S Zhao, T Yu, TJJ Li, S Jiang, Y Liu, Y Zhang, Y Liu arXiv preprint arXiv:2308.15272, 2023 | 49 | 2023 |
CoDL: efficient CPU-GPU co-execution for deep learning inference on mobile devices. F Jia, D Zhang, T Cao, S Jiang, Y Liu, J Ren, Y Zhang MobiSys 22, 209-221, 2022 | 36 | 2022 |
Urban traffic monitoring with the help of bus riders P Zhou, S Jiang, M Li 2015 IEEE 35th International Conference on Distributed Computing Systems, 21-30, 2015 | 30 | 2015 |
Profiling and optimizing deep learning inference on mobile GPUs S Jiang, L Ran, T Cao, Y Xu, Y Liu Proceedings of the 11th ACM SIGOPS Asia-Pacific Workshop on Systems, 75-81, 2020 | 12 | 2020 |
Adaptivenet: Post-deployment neural architecture adaptation for diverse edge environments H Wen, Y Li, Z Zhang, S Jiang, X Ye, Y Ouyang, Y Zhang, Y Liu Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023 | 9 | 2023 |
Autodroid: Llm-powered task automation in android H Wen, Y Li, G Liu, S Zhao, T Yu, TJJ Li, S Jiang, Y Liu, Y Zhang, Y Liu Proceedings of the 30th Annual International Conference on Mobile Computing …, 2024 | 7 | 2024 |
Large-scale video analytics with cloud–edge collaborative continuous learning Y Nan, S Jiang, M Li ACM Transactions on Sensor Networks 20 (1), 1-23, 2023 | 5 | 2023 |
Turbo: Opportunistic Enhancement for Edge Video Analytics Y Lu, S Jiang, T Cao, Y Shu Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems …, 2022 | 5 | 2022 |
Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information S Jiang, P Zhou, M Li International Journal of Distributed Sensor Networks 11 (11), 135150, 2015 | 5 | 2015 |
Emotion-driven lifelogging with wearables S Jiang, P Zhou, Z Li, M Li 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2016 | 4 | 2016 |
Nn-stretch: Automatic neural network branching for parallel inference on heterogeneous multi-processors J Wei, T Cao, S Cao, S Jiang, S Fu, M Yang, Y Zhang, Y Liu Proceedings of the 21st Annual International Conference on Mobile Systems …, 2023 | 3 | 2023 |
Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance Q Wang, S Jiang, Z Chen, X Cao, Y Li, A Li, Y Zhang, Y Ma, T Cao, X Liu arXiv preprint arXiv:2402.05981, 2024 | 2 | 2024 |
Blockchain-based patrol inspection proof storage method, apparatus, and electronic device CAI Hongbo, K Huang, HAN Zhe, S Jiang, L Yang US Patent 11,374,757, 2022 | 1 | 2022 |
Hybrid SLM and LLM for Edge-Cloud Collaborative Inference Z Hao, H Jiang, S Jiang, J Ren, T Cao Proceedings of the Workshop on Edge and Mobile Foundation Models, 36-41, 2024 | | 2024 |
Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization F Jia, S Jiang, T Cao, W Cui, T Xia, X Cao, Y Li, Q Wang, D Zhang, J Ren, ... Proceedings of the 22nd Annual International Conference on Mobile Systems …, 2024 | | 2024 |
Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations F Jia, S Jiang, T Cao, W Cui, T Xia, X Cao, Y Li, Q Wang, D Zhang, J Ren, ... | | 2024 |
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations F Jia, S Jiang, T Cao, W Cui, T Xia, X Cao, Y Li, D Zhang, J Ren, Y Liu, ... arXiv preprint arXiv:2309.08978, 2023 | | 2023 |