Edge intelligence: Paving the last mile of artificial intelligence with edge computing Z Zhou, X Chen, E Li, L Zeng, K Luo, J Zhang Proceedings of the IEEE 107 (8), 1738-1762, 2019 | 1733 | 2019 |
Edge AI: On-demand accelerating deep neural network inference via edge computing E Li, L Zeng, Z Zhou, X Chen IEEE Transactions on Wireless Communications 19 (1), 447-457, 2019 | 609 | 2019 |
Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices L Zeng, X Chen, Z Zhou, L Yang, J Zhang IEEE/ACM Transactions on Networking 29 (2), 595-608, 2020 | 154 | 2020 |
Boomerang: On-demand cooperative deep neural network inference for edge intelligence on the industrial Internet of Things L Zeng, E Li, Z Zhou, X Chen IEEE Network 33 (5), 96-103, 2019 | 119 | 2019 |
Joint multiuser DNN partitioning and computational resource allocation for collaborative edge intelligence X Tang, X Chen, L Zeng, S Yu, L Chen IEEE Internet of Things Journal 8 (12), 9511-9522, 2020 | 87 | 2020 |
Edge robotics: Edge-computing-accelerated multirobot simultaneous localization and mapping P Huang, L Zeng, X Chen, K Luo, Z Zhou, S Yu IEEE Internet of Things Journal 9 (15), 14087-14102, 2022 | 37 | 2022 |
Cost-aware edge resource probing for infrastructure-free edge computing: From optimal stopping to layered learning T Ouyang, X Chen, L Zeng, Z Zhou 2019 IEEE Real-Time Systems Symposium (RTSS), 380-391, 2019 | 19 | 2019 |
GNN at the edge: Cost-efficient graph neural network processing over distributed edge servers L Zeng, C Yang, P Huang, Z Zhou, S Yu, X Chen IEEE Journal on Selected Areas in Communications 41 (3), 720-739, 2022 | 12 | 2022 |
Fograph: Enabling real-time deep graph inference with fog computing L Zeng, P Huang, K Luo, X Zhang, Z Zhou, X Chen Proceedings of the ACM Web Conference 2022, 1774-1784, 2022 | 10 | 2022 |
ColaSLAM: Real-time multi-robot collaborative laser SLAM via edge computing P Huang, L Zeng, K Luo, J Guo, Z Zhou, X Chen 2021 IEEE/CIC International Conference on Communications in China (ICCC …, 2021 | 9 | 2021 |
AdaDrone: Quality of navigation based neural adaptive scheduling for edge-assisted drones H Chen, L Zeng, X Zhang, X Chen 2022 IEEE 42nd International Conference on Distributed Computing Systems …, 2022 | 6 | 2022 |
Eco-FL: Adaptive federated learning with efficient edge collaborative pipeline training S Ye, L Zeng, Q Wu, K Luo, Q Fang, X Chen Proceedings of the 51st International Conference on Parallel Processing, 1-11, 2022 | 5 | 2022 |
Knowledge distillation for mobile edge computation offloading H Chen, L Zeng, S Yu, X Chen arXiv preprint arXiv:2004.04366, 2020 | 5 | 2020 |
A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones L Zeng, H Chen, D Feng, X Zhang, X Chen IEEE/ACM Transactions on Networking, 2023 | 3 | 2023 |
Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading H Wang, H Bao, L Zeng, K Luo, X Chen ICC 2023-IEEE International Conference on Communications, 2173-2178, 2023 | 2 | 2023 |
Floodet: A Lightweight Edge AI Model for Intelligent Flood Detection W Ou, L Zeng, X Chen 2023 IEEE Applied Sensing Conference (APSCON), 1-3, 2023 | 1 | 2023 |
Adaptive Progressive Image Enhancement for Edge-Assisted Mobile Vision D Feng, L Zeng, L Pu, X Chen 2022 18th International Conference on Mobility, Sensing and Networking (MSN …, 2022 | 1 | 2022 |
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing L Zeng, S Ye, X Chen, Y Yang arXiv preprint arXiv:2404.17766, 2024 | | 2024 |
Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services L Zeng, X Chen, P Huang, K Luo, X Zhang, Z Zhou IEEE/ACM Transactions on Networking, 2023 | | 2023 |
Chained-DP: Can We Recycle Privacy Budget? J Li, G Huang, L Zeng, L Chen, X Chen 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS), 1-4, 2023 | | 2023 |