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Liekang Zeng
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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
19932019
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
7152019
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
2052020
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
1362019
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
992020
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
512022
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
232019
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
202022
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
132022
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
122022
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
112021
Knowledge distillation for mobile edge computation offloading
H Chen, L Zeng, S Yu, X Chen
arXiv preprint arXiv:2004.04366, 2020
92020
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
82022
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
62023
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing
L Zeng, S Ye, X Chen, Y Yang
IEEE Wireless Communications 31 (3), 50-58, 2024
52024
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
42023
Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices
S Ye, L Zeng, X Chu, G Xing, X Chen
Proceedings of the 30th Annual International Conference on Mobile Computing …, 2024
32024
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
32023
Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
S Ye, J Du, L Zeng, W Ou, X Chu, Y Lu, X Chen
arXiv preprint arXiv:2405.17245, 2024
22024
MOGR: Multi-task Offloading via Graph Representation in Heterogeneous Computing Network
M Mal, C Gong, L Zeng, Y Yang
ICC 2024-IEEE International Conference on Communications, 1237-1242, 2024
12024
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