| 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 | 7265 | 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 | 113 | 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 | 61 | 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 | 31 | 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 | 14 | 2017 |
| 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 | 10 | 2020 |
| 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 | 8 | 2022 |
| {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 | 4 | 2019 |
| 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 | 4 | 2017 |
| 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 | 4 | 2016 |
| 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 | 2 | 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 | 1 | 2022 |
| 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 | | 2023 |
| What does a Panoptic Perception Model Learn? L Xu 2023 IEEE International Conference on Mobility, Operations, Services and …, 2023 | | 2023 |
| 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 | | 2021 |
| 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 | | 2021 |
| Systems Support for Executing Intelligent Services and Deep Learning Algorithms on the Edges L Xu Wayne State University, 2021 | | 2021 |
| NLUBroker: A QoE-Driven Evaluation and Broker System for Natural Language Understanding Services L Xu Wayne State University, 2020 | | 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 | | 2018 |
| Huron-to-Erie Water Quality Data Platform L Xu, CJ Miller, J Olson, M Beaulac Environmental Processes 5, 465-481, 2018 | | 2018 |
Weisong ShiAlumni Distinguished Professor at University of Delaware, IEEE FellowVerified email at udel.edu
