End-to-end quality of service in 5G networks: Examining the effectiveness of a network slicing framework Q Ye, J Li, K Qu, W Zhuang, XS Shen, X Li IEEE Vehicular Technology Magazine 13 (2), 65-74, 2018 | 148 | 2018 |
Dynamic flow migration for embedded services in SDN/NFV-enabled 5G core networks K Qu, W Zhuang, Q Ye, X Shen, X Li, J Rao IEEE Transactions on Communications 68 (4), 2394-2408, 2020 | 94 | 2020 |
Split learning over wireless networks: Parallel design and resource management W Wu, M Li, K Qu, C Zhou, X Shen, W Zhuang, X Li, W Shi IEEE Journal on Selected Areas in Communications 41 (4), 1051-1066, 2023 | 89 | 2023 |
Joint RAN slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach Q Ye, W Shi, K Qu, H He, W Zhuang, X Shen IEEE Open Journal of Vehicular Technology 2, 272-288, 2021 | 66 | 2021 |
Dynamic resource scaling for VNF over nonstationary traffic: A learning approach K Qu, W Zhuang, X Shen, X Li, J Rao IEEE Transactions on Cognitive Communications and Networking 7 (2), 648-662, 2020 | 45 | 2020 |
Traffic engineering for service-oriented 5G networks with SDN-NFV integration K Qu, W Zhuang, Q Ye, X Shen, X Li, J Rao IEEE network 34 (4), 234-241, 2020 | 31 | 2020 |
Learning-based computing task offloading for autonomous driving: A load balancing perspective Q Ye, W Shi, K Qu, H He, W Zhuang, XS Shen ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 14 | 2021 |
Delay-aware flow migration for embedded services in 5G core networks K Qu, W Zhuang, Q Ye, X Shen, X Li, J Rao ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 14 | 2019 |
A novel detection algorithm for ring oscillator network based hardware Trojan detection with tactful FPGA implementation K Qu, L Wu, X Zhang 2015 11th international conference on computational intelligence and …, 2015 | 11 | 2015 |
A novel masking scheme for SM3 based MAC K Qu, W An, L Wu, Y Ren, X Zhang China Communications 12 (6), 12-21, 2015 | 11 | 2015 |
Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles K Qu, W Zhuang, Q Ye, W Wu, X Shen IEEE Transactions on Wireless Communications, 2024 | 6 | 2024 |
Stochastic cumulative DNN inference with RL-aided adaptive IoT device-edge collaboration K Qu, W Zhuang, W Wu, M Li, X Shen, X Li, W Shi IEEE Internet of Things Journal, 2023 | 6 | 2023 |
Cost-effective two-stage network slicing for edge-cloud orchestrated vehicular networks W Wu, K Qu, P Yang, N Zhang, XS Shen, W Zhuang 2022 IEEE/CIC International Conference on Communications in China (ICCC …, 2022 | 3 | 2022 |
Correlation power attack on a message authentication code based on SM3 Y Yuan, K Qu, L Wu, J Ma, X Zhang Frontiers of Information Technology & Electronic Engineering 20 (7), 930-945, 2019 | 3 | 2019 |
Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles X Ye, K Qu, W Zhuang, X Shen IEEE Transactions on Mobile Computing, 2023 | 1 | 2023 |
Robust Car-Following Control of Connected and Autonomous Vehicles: A Stochastic Model Predictive Control Approach P Zhang, J Zhou, D Tian, X Duan, K Qu, D Zhao, Z Sheng, P Cai, ... Proceedings of the Int'l ACM Symposium on Design and Analysis of Intelligent …, 2023 | 1 | 2023 |
Dynamic Resource Management in Service-Oriented Core Networks W Zhuang, K Qu Springer, 2021 | 1 | 2021 |
Corrections to “Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach”[2021 Q Ye, W Shi, K Qu, H He, W Zhuang, X Shen IEEE Open Journal of Vehicular Technology 2, 345-345, 2021 | 1 | 2021 |
Dynamic vnf resource scaling and migration: A machine learning approach W Zhuang, K Qu, W Zhuang, K Qu Dynamic Resource Management in Service-Oriented Core Networks, 85-129, 2021 | 1 | 2021 |
Digital Twin Assisted Intelligent Network Management for Vehicular Applications K Qu, W Zhuang arXiv preprint arXiv:2403.16021, 2024 | | 2024 |