| 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 | 254 | 2019 |
| 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 | 178 | 2020 |
| 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 | 177 | 2017 |
| 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 | 109 | 2019 |
| 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 | 99 | 2019 |
| 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 | 83 | 2020 |
| 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 | 82 | 2019 |
| 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 | 74 | 2020 |
| 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 | 73 | 2019 |
| 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 | 70 | 2019 |
| 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 | 68 | 2014 |
| 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 | 67 | 2019 |
| 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 | 60 | 2020 |
| 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 | 56 | 2020 |
| 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 | 50 | 2020 |
| 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 | 48 | 2020 |
| 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 | 43 | 2019 |
| 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 | 40 | 2021 |
| SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation. P Ren, H Sun, Q Qi, J Wang, W Huang BMVC, 112, 2019 | 39 | 2019 |
| Performance optimization for blockchain-enabled distributed network function virtualization management and orchestration X Fu, FR Yu, J Wang, Q Qi, J Liao IEEE Transactions on Vehicular Technology 69 (6), 6670-6679, 2020 | 37 | 2020 |
Jingyu WangProfessor, Beijing University of Posts and Telecommunications在 bupt.edu.cn 的电子邮件经过验证
