Let opportunistic crowdsensors work together for resource-efficient, quality-aware observations Y Du, F Sailhan, V Issarny IEEE International Conference on Pervasive Computing and Communications …, 2020 | 11 | 2020 |
When the power of the crowd meets the intelligence of the middleware: The mobile phone sensing case Y Du, V Issarny, F Sailhan ACM SIGOPS Operating Systems Review 53 (1), 85-90, 2019 | 10 | 2019 |
In-network collaborative mobile crowdsensing Y Du, V Issarny, F Sailhan IEEE International Conference on Pervasive Computing and Communications …, 2020 | 7 | 2020 |
User-centric context inference for mobile crowdsensing Y Du, V Issarny, F Sailhan IEEE/ACM International Conference on Internet of Things Design and …, 2019 | 6 | 2019 |
Collaborative crowdsensing at the edge Y Du Inria Paris / Sorbonne University, 2020 | 5 | 2020 |
IAM-Interpolation and Aggregation on the Move: Collaborative Crowdsensing for Spatio-temporal Phenomena Y Du, F Sailhan, V Issarny EAI International Conference on Mobile and Ubiquitous Systems: Computing …, 2020 | 3 | 2020 |
Ad-Astra: Towards A Reliable Edge Runtime Environment for Intelligent Connected Vehicles Y Du, N Li, S Li 2024 IEEE 14th International Symposium on Industrial Embedded Systems (SIES …, 2024 | | 2024 |
CalibrateNoiseTogether F Sailhan, V Issarny, Y Du, OT Nascimento CEDRIC laboratory, CNAM-Paris, France; INRIA: Institut national de recherche …, 2017 | | 2017 |