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Liang Li
Liang Li
Peng Cheng Laboratory
Verified email at pcl.ac.cn
Title
Cited by
Cited by
Year
To talk or to work: Flexible communication compression for energy efficient federated learning over heterogeneous mobile edge devices
L Li, D Shi, R Hou, H Li, M Pan, Z Han
IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021
1212021
A novel mobile edge computing-based architecture for future cellular vehicular networks
L Li, Y Li, R Hou
2017 IEEE wireless communications and networking conference (WCNC), 1-6, 2017
892017
Microbial metabolites in the marine carbon cycle
MA Moran, EB Kujawinski, WF Schroer, SA Amin, NR Bates, EM Bertrand, ...
Nature microbiology 7 (4), 508-523, 2022
722022
Energy-efficient proactive caching for adaptive video streaming via data-driven optimization
L Li, D Shi, R Hou, R Chen, B Lin, M Pan
IEEE Internet of Things Journal 7 (6), 5549-5561, 2020
512020
Toward energy-efficient federated learning over 5g+ mobile devices
D Shi, L Li, R Chen, P Prakash, M Pan, Y Fang
IEEE Wireless Communications 29 (5), 44-51, 2022
362022
Privacy preserving participant recruitment for coverage maximization in location aware mobile crowdsensing
L Li, D Shi, X Zhang, R Hou, H Yue, H Li, M Pan
IEEE Transactions on Mobile Computing 21 (9), 3250-3262, 2021
322021
Energy efficient federated learning over heterogeneous mobile devices via joint design of weight quantization and wireless transmission
R Chen, L Li, K Xue, C Zhang, M Pan, Y Fang
IEEE Transactions on Mobile Computing, 2022
26*2022
Make smart decisions faster: Deciding D2D resource allocation via stackelberg game guided multi-agent deep reinforcement learning
D Shi, L Li, T Ohtsuki, M Pan, Z Han, HV Poor
IEEE Transactions on Mobile Computing 21 (12), 4426-4438, 2021
242021
To talk or to work: Dynamic batch sizes assisted time efficient federated learning over future mobile edge devices
D Shi, L Li, M Wu, M Shu, R Yu, M Pan, Z Han
IEEE Transactions on Wireless Communications 21 (12), 11038-11050, 2022
192022
Data-driven optimization for cooperative edge service provisioning with demand uncertainty
L Li, D Shi, R Hou, X Li, J Wang, H Li, M Pan
IEEE Internet of Things Journal 8 (6), 4317-4328, 2020
162020
Participant recruitment for coverage-aware mobile crowdsensing with location differential privacy
L Li, X Zhang, R Hou, H Yue, H Li, M Pan
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
152019
Covid-19 vulnerability map construction via location privacy preserving mobile crowdsourcing
R Chen, L Li, JJ Chen, R Hou, Y Gong, Y Guo, M Pan
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
82020
Constructing mobile crowdsourced COVID-19 vulnerability map with geo-indistinguishability
R Chen, L Li, Y Ma, Y Gong, Y Guo, T Ohtsuki, M Pan
IEEE Internet of Things Journal 9 (18), 17403-17416, 2022
62022
An overview on the mathematical models of quality function deployment
L Li, Q Guo, Z Dong
2008 International Symposium on Information Science and Engineering 1, 78-83, 2008
62008
Quality function deployment based on cloud model
L Li, QS Guo, QL Li, WC Peng
2008 4th International Conference on Wireless Communications, Networking and …, 2008
52008
Energy and spectrum efficient federated learning via high-precision over-the-air computation
L Li, C Huang, D Shi, H Wang, X Zhou, M Shu, M Pan
IEEE Transactions on Wireless Communications, 2023
42023
GA-MADDPG: A Demand-Aware UAV Network Adaptation Method for Joint Communication and Positioning in Emergency Scenarios
K Zhuang, L Xu, L Li, L Wang, A Fei
2023 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2023
42023
Research on the Construction Method of Simulation Evaluation Index of Operation Effectiveness Operation Concept Traction
Z Zhang, L Li, Z Dong, Y Wang, L Duan
Journal of System Simulation 34 (3), 603-613, 2022
42022
Data-driven optimization for resource provision in non-cooperative edge computing market
R Chen, L Li, R Hou, T Yang, L Wang, M Pan
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
42020
On uav serving node deployment for temporary coverage in forest environment: A hierarchical deep reinforcement learning approach
L Wang, X Wu, Y Wang, Z Xiao, L Li, A Fei
Chinese Journal of Electronics 32 (4), 760-772, 2023
32023
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Articles 1–20