Yusheng Ji
Cited by
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Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning
X Chen, H Zhang, C Wu, S Mao, Y Ji, M Bennis
IEEE Internet of Things Journal 6 (3), 4005-4018, 2018
AVE: Autonomous vehicular edge computing framework with ACO-based scheduling
J Feng, Z Liu, C Wu, Y Ji
IEEE Transactions on Vehicular Technology 66 (12), 10660-10675, 2017
Federated learning for vehicular internet of things: Recent advances and open issues
Z Du, C Wu, T Yoshinaga, KLA Yau, Y Ji, J Li
IEEE Open Journal of the Computer Society 1, 45-61, 2020
RF-sensing of activities from non-cooperative subjects in device-free recognition systems using ambient and local signals
S Sigg, M Scholz, S Shi, Y Ji, M Beigl
IEEE Transactions on Mobile Computing 13 (4), 907-920, 2013
Multi-user computation partitioning for latency sensitive mobile cloud applications
L Yang, J Cao, H Cheng, Y Ji
IEEE Transactions on Computers 64 (8), 2253-2266, 2014
The evolution of sink mobility management in wireless sensor networks: A survey
Y Gu, F Ren, Y Ji, J Li
IEEE Communications Surveys & Tutorials 18 (1), 507-524, 2015
Folo: Latency and quality optimized task allocation in vehicular fog computing
C Zhu, J Tao, G Pastor, Y Xiao, Y Ji, Q Zhou, Y Li, A Ylä-Jääski
IEEE Internet of Things Journal 6 (3), 4150-4161, 2018
Mobile edge computing for the internet of vehicles: Offloading framework and job scheduling
J Feng, Z Liu, C Wu, Y Ji
IEEE vehicular technology magazine 14 (1), 28-36, 2018
A dedicated multi-channel MAC protocol design for VANET with adaptive broadcasting
N Lu, Y Ji, F Liu, X Wang
2010 IEEE Wireless Communication and Networking Conference, 1-6, 2010
Power control in D2D-based vehicular communication networks
Y Ren, F Liu, Z Liu, C Wang, Y Ji
IEEE Transactions on Vehicular Technology 64 (12), 5547-5562, 2015
Performance optimization in mobile-edge computing via deep reinforcement learning
X Chen, H Zhang, C Wu, S Mao, Y Ji, M Bennis
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1-6, 2018
Accurate location tracking from CSI-based passive device-free probabilistic fingerprinting
S Shi, S Sigg, L Chen, Y Ji
IEEE Transactions on Vehicular Technology 67 (6), 5217-5230, 2018
Leveraging RF-channel fluctuation for activity recognition: Active and passive systems, continuous and RSSI-based signal features
S Sigg, S Shi, F Buesching, Y Ji, L Wolf
Proceedings of International Conference on Advances in Mobile Computing …, 2013
Energy-efficient resource allocation for multi-user mobile edge computing
J Guo, Z Song, Y Cui, Z Liu, Y Ji
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-7, 2017
Collaborative learning of communication routes in edge-enabled multi-access vehicular environment
C Wu, Z Liu, F Liu, T Yoshinaga, Y Ji, J Li
IEEE Transactions on Cognitive Communications and Networking 6 (4), 1155-1165, 2020
ESWC: efficient scheduling for the mobile sink in wireless sensor networks with delay constraint
Y Gu, Y Ji, J Li, B Zhao
IEEE Transactions on Parallel and Distributed Systems 24 (7), 1310-1320, 2012
Multi-tenant cross-slice resource orchestration: A deep reinforcement learning approach
X Chen, Z Zhao, C Wu, M Bennis, H Liu, Y Ji, H Zhang
IEEE Journal on Selected Areas in Communications 37 (10), 2377-2392, 2019
Computation offloading in beyond 5G networks: A distributed learning framework and applications
X Chen, C Wu, Z Liu, N Zhang, Y Ji
IEEE Wireless Communications 28 (2), 56-62, 2021
Spatial intelligence toward trustworthy vehicular IoT
C Wu, Z Liu, D Zhang, T Yoshinaga, Y Ji
IEEE Communications Magazine 56 (10), 22-27, 2018
PopCache: Cache more or less based on content popularity for information-centric networking
K Suksomboon, S Tarnoi, Y Ji, M Koibuchi, K Fukuda, S Abe, N Motonori, ...
38th Annual IEEE conference on local computer networks, 236-243, 2013
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