| 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 | 279 | 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 | 199 | 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 | 184 | 2017 |
| Omnimon: Re-architecting network telemetry with resource efficiency and full accuracy Q Huang, H Sun, PPC Lee, W Bai, F Zhu, Y Bao Proceedings of the Annual conference of the ACM Special Interest Group on …, 2020 | 118 | 2020 |
| Data-driven power outage detection by social sensors H Sun, Z Wang, J Wang, Z Huang, NL Carrington, J Liao IEEE Transactions on Smart Grid 7 (5), 2516-2524, 2016 | 104 | 2016 |
| 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 | 93 | 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 | 86 | 2019 |
| 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 | 77 | 2019 |
| 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 | 75 | 2020 |
| 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 | 71 | 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 | 60 | 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 | 59 | 2020 |
| 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 | 56 | 2021 |
| Measuring generalisation to unseen viewpoints, articulations, shapes and objects for 3D hand pose estimation under hand-object interaction A Armagan, G Garcia-Hernando, S Baek, S Hampali, M Rad, Z Zhang, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 52 | 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 | 47 | 2019 |
| SRN: Stacked regression network for real-time 3D hand pose estimation. P Ren, H Sun, Q Qi, J Wang, W Huang BMVC 112, 2019 | 45 | 2019 |
| DeepCC: Multi-agent deep reinforcement learning congestion control for multi-path TCP based on self-attention B He, J Wang, Q Qi, H Sun, J Liao, C Du, X Yang, Z Han IEEE Transactions on Network and Service Management 18 (4), 4770-4788, 2021 | 43 | 2021 |
| Multi-context integrated deep neural network model for next location prediction J Liao, T Liu, M Liu, J Wang, Y Wang, H Sun IEEE access 6, 21980-21990, 2018 | 43 | 2018 |
| Deep neural networks for application awareness in SDN-based network J Xu, J Wang, Q Qi, H Sun, B He 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 40 | 2018 |
| Can shuffling video benefit temporal bias problem: A novel training framework for temporal grounding J Hao, H Sun, P Ren, J Wang, Q Qi, J Liao European Conference on Computer Vision, 130-147, 2022 | 32 | 2022 |
