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Qi Qi
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Knowledge-driven service offloading decision for vehicular edge computing: A deep reinforcement learning approach
Q Qi, J Wang, Z Ma, H Sun, Y Cao, L Zhang, J Liao
IEEE Transactions on Vehicular Technology 68 (5), 4192-4203, 2019
2822019
Adversarial and domain-aware BERT for cross-domain sentiment analysis
C Du, H Sun, J Wang, Q Qi, J Liao
Proceedings of the 58th annual meeting of the Association for Computational …, 2020
2022020
Robust unsupervised video anomaly detection by multipath frame prediction
X Wang, Z Che, B Jiang, N Xiao, K Yang, J Tang, J Ye, J Wang, Q Qi
IEEE transactions on neural networks and learning systems 33 (6), 2301-2312, 2021
1842021
Density cluster based approach for controller placement problem in large-scale software defined networkings
J Liao, H Sun, J Wang, Q Qi, K Li, T Li
Computer Networks 112, 24-35, 2017
1842017
Dynamic service function chain embedding for NFV-enabled IoT: A deep reinforcement learning approach
X Fu, FR Yu, J Wang, Q Qi, J Liao
IEEE Transactions on Wireless Communications 19 (1), 507-519, 2019
1262019
Technology prospect of 6G mobile communications
P Zhang, K Niu, H Tian, G Nie, X Qin, Q Qi, J Zhang
Journal on Communications 40 (1), 141-148, 2019
1122019
Toward communication-efficient federated learning in the Internet of Things with edge computing
H Sun, S Li, FR Yu, Q Qi, J Wang, J Liao
IEEE Internet of Things Journal 7 (11), 11053-11067, 2020
952020
Mean field deep reinforcement learning for fair and efficient UAV control
D Chen, Q Qi, Z Zhuang, J Wang, J Liao, Z Han
IEEE Internet of Things Journal 8 (2), 813-828, 2020
862020
Capsule network with interactive attention for aspect-level sentiment classification
C Du, H Sun, J Wang, Q Qi, J Liao, T Xu, M Liu
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
862019
OICSR: Out-in-channel sparsity regularization for compact deep neural networks
J Li, Q Qi, J Wang, C Ge, Y Li, Z Yue, H Sun
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
782019
Scalable parallel task scheduling for autonomous driving using multi-task deep reinforcement learning
Q Qi, L Zhang, J Wang, H Sun, Z Zhuang, J Liao, FR Yu
IEEE Transactions on Vehicular Technology 69 (11), 13861-13874, 2020
752020
Topology-aware virtual network embedding based on multiple characteristics
M Feng, J Liao, J Wang, S Qing, Q Qi
2014 IEEE International Conference on Communications (ICC), 2956-2962, 2014
732014
Awr: Adaptive weighting regression for 3d hand pose estimation
W Huang, P Ren, J Wang, Q Qi, H Sun
Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11061 …, 2020
722020
6G 移动通信技术展望
张平, 牛凯, 田辉, 聂高峰, 秦晓琦, 戚琦, 张娇
Journal on Communications, 2019
712019
Service function chain embedding for NFV-enabled IoT based on deep reinforcement learning
X Fu, FR Yu, J Wang, Q Qi, J Liao
IEEE Communications Magazine 57 (11), 102-108, 2019
692019
Energy-efficient space–air–ground integrated edge computing for internet of remote things: A federated DRL approach
Y Liu, L Jiang, Q Qi, S Xie
IEEE Internet of Things Journal 10 (6), 4845-4856, 2022
642022
GGS: General Gradient Sparsification for Federated Learning in Edge Computing*
S Li, Q Qi, J Wang, H Sun, Y Li, FR Yu
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-7, 2020
612020
Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection
C Ge, J Wang, J Wang, Q Qi, H Sun, J Liao
Computers in Industry 121, 103232, 2020
602020
Intelligent joint network slicing and routing via GCN-powered multi-task deep reinforcement learning
T Dong, Z Zhuang, Q Qi, J Wang, H Sun, FR Yu, T Sun, C Zhou, J Liao
IEEE Transactions on Cognitive Communications and Networking 8 (2), 1269-1286, 2021
572021
Radio environment map construction by kriging algorithm based on mobile crowd sensing
Z Han, J Liao, Q Qi, H Sun, J Wang
Wireless Communications and Mobile Computing 2019 (1), 4064201, 2019
472019
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Articles 1–20