Lanyu Xu
Lanyu Xu
Adresă de e-mail confirmată pe oakland.edu - Pagina de pornire
Citat de
Citat de
Edge computing: Vision and challenges
W Shi, J Cao, Q Zhang, Y Li, L Xu
IEEE internet of things journal 3 (5), 637-646, 2016
OpenEI: An open framework for edge intelligence
X Zhang, Y Wang, S Lu, L Liu, W Shi
2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019
EdgeOS_H: a home operating system for internet of everything
J Cao, L Xu, R Abdallah, W Shi
2017 IEEE 37th international conference on distributed computing systems …, 2017
Real-time sensor response characteristics of 3 commercial metal oxide sensors for detection of BTEX and chlorinated aliphatic hydrocarbon organic vapors
G Yurko, J Roostaei, T Dittrich, L Xu, M Ewing, Y Zhang, G Shreve
Chemosensors 7 (3), 40, 2019
Lessons and experiences of a DIY smart home
R Abdallah, L Xu, W Shi
Proceedings of the Workshop on Smart Internet of Things, 1-6, 2017
Deep reinforcement learning and its applications in medical imaging and radiation therapy: a survey
L Xu, S Zhu, N Wen
Physics in Medicine & Biology 67 (22), 22TR02, 2022
CHA: A caching framework for home-based voice assistant systems
L Xu, A Iyengar, W Shi
2020 IEEE/ACM Symposium on Edge Computing (SEC), 293-306, 2020
{NLUBroker}: A Flexible and Responsive Broker for Cloud-based Natural Language Understanding Services
L Xu, A Iyengar, W Shi
11th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 19), 2019
User centric design for aging population: early experiences and lessons
L Xu, HA Fritz, W Shi
2016 IEEE First International Conference on Connected Health: Applications …, 2016
An os for internet of everything: Early experience from a smart home prototype
J CAO, L XU, R Abdallah, W SHI
ZTE Communications 15 (4), 12, 2017
ChatCache: A Hierarchical Semantic Redundancy Cache System for Conversational Services at Edge
L Xu, A Iyengar, W Shi
2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 85-95, 2021
A Deep Reinforcement Learning Based Pipeline for Prostate Segmentation on MRI with Low Variance Performance
L Xu, W Shi, N Wen
MEDICAL PHYSICS 48 (6), 2021
NLUBroker: A QoE-driven Broker System for Natural Language Understanding Services
L Xu, A Iyengar, W Shi
ACM Transactions on Internet Technology (TOIT) 22 (3), 1-29, 2022
The Architectural Implications of Multi-modal Detection Models for Autonomous Driving Systems
Y Li, S Saha, L Xu
2024 IEEE International Conference on Mobility, Operations, Services and …, 2024
Poster: A Distributed Deep Reinforcement Learning System for Medical Image Segmentation
L Xu
Proceedings of the 8th ACM/IEEE International Conference on Connected Health …, 2023
What does a Panoptic Perception Model Learn?
L Xu
2023 IEEE International Conference on Mobility, Operations, Services and …, 2023
Gleason grade group predictions from mp-MRI of prostate cancer patients using auto deep learning
W Zong, E Carver, A Feldman, J Lee, Z Sun, L Xu, A Dabaja, N Wen
Cancer Research 81 (13_Supplement), 186-186, 2021
Systems Support for Executing Intelligent Services and Deep Learning Algorithms on the Edges
L Xu
Wayne State University, 2021
NLUBroker: A QoE-Driven Evaluation and Broker System for Natural Language Understanding Services
L Xu
Wayne State University, 2020
Enabling Semantics in oneM2M Service Delivery Platform
J Cao, L Xu, W Shi
2018 IEEE/ACM Symposium on Edge Computing (SEC), 404-409, 2018
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