| 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 | 87 | 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 | 76 | 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 | 57 | 2021 |
| Multi-Agent Deep Reinforcement Learning for Secure UAV Communications Y Zhang, Z Zhuang, F Gao, J Wang, Z Han 2020 IEEE Wireless Communications and Networking Conference (WCNC), 1-5, 2020 | 50 | 2020 |
| Adaptive and Robust Routing with Lyapunov-Based Deep RL in MEC Networks Enabled by Blockchains Z Zhuang, J Wang, Q Qi, J Liao, Z Han IEEE Internet of Things Journal 8 (4), 2208-2225, 2020 | 35 | 2020 |
| Network Meets ChatGPT: Intent Autonomous Management, Control and Operation J Wang, L Zhang, Y Yang, Z Zhuang, Q Qi, H Sun, L Lu, J Feng, J Liao Journal of Communications and Information Networks 8 (3), 239-255, 2023 | 32 | 2023 |
| -Learning Aided Intelligent Routing With Maximum Utility in Cognitive UAV Swarm for Emergency Communications L Zhang, X Ma, Z Zhuang, H Xu, V Sharma, Z Han IEEE Transactions on Vehicular Technology 72 (3), 3707-3723, 2022 | 28 | 2022 |
| Generative adversarial network-based transfer reinforcement learning for routing with prior knowledge T Dong, Q Qi, J Wang, AX Liu, H Sun, Z Zhuang, J Liao IEEE Transactions on Network and Service Management 18 (2), 1673-1689, 2021 | 27 | 2021 |
| Toward greater intelligence in route planning: A graph-aware deep learning approach Z Zhuang, J Wang, Q Qi, H Sun, J Liao IEEE Systems Journal 14 (2), 1658-1669, 2019 | 27 | 2019 |
| Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection C Wang, Z Zhuang, Q Qi, J Wang, X Wang, H Sun, J Liao Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| Tensor-Based Reinforcement Learning for Network Routing KC Tsai, Z Zhuang, R Lent, J Wang, Q Qi, LC Wang, Z Han IEEE Journal of Selected Topics in Signal Processing 15 (3), 617-629, 2021 | 22 | 2021 |
| Poster: PipeLLM: Pipeline LLM Inference on Heterogeneous Devices with Sequence Slicing R Ma, J Wang, Q Qi, X Yang, H Sun, Z Zhuang, J Liao Proceedings of the ACM SIGCOMM 2023 Conference, 1126-1128, 2023 | 17 | 2023 |
| Graph-Aware Deep Learning Based Intelligent Routing Strategy Z Zhuang, J Wang, Q Qi, H Sun, J Liao 2018 IEEE 43rd Conference on Local Computer Networks (LCN), 441-444, 2018 | 16 | 2018 |
| Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning M Zhang, J Wang, Q Qi, H Sun, Z Zhuang, P Ren, R Ma, J Liao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Standing on the Shoulders of Giants: Cross-Slice Federated Meta Learning for Resource Orchestration to Cold-Start Slice T Dong, Q Qi, J Wang, Z Zhuang, H Sun, J Liao, Z Han IEEE/ACM Transactions on Networking 31 (2), 828-845, 2023 | 8 | 2023 |
| Knowledge-defined intent-based network autonomy J Wang, C Zhou, L Zhang, C Liu, Z Zhuang, H Yang, D Chen, Y Zhu, L Lu, ... Telecommunications Science 37 (9), 2021 | 8* | 2021 |
| Deephop on edge: Hop-by-hop routing by distributed learning with semantic attention B He, J Wang, Q Qi, H Sun, Z Zhuang, C Liu, J Liao Proceedings of the 49th International Conference on Parallel Processing, 1-11, 2020 | 8 | 2020 |
| UAV trajectory tracking via RNN-enhanced IMM-KF with ADS-B data Y Zhu, Z Jia, Q Wu, C Dong, Z Zhuang, H Hu, Q Cai 2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024 | 6 | 2024 |
| Keypoint Fusion for RGB-D Based 3D Hand Pose Estimation X Liu, P Ren, Y Gao, J Wang, H Sun, Q Qi, Z Zhuang, J Liao Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3756-3764, 2024 | 6 | 2024 |
| TacNet: A Tactic-Interactive Resource Allocation Method for Vehicular Networks X Fu, Q Yuan, Z Zhuang, Y Li, J Liao, D Zhao IEEE Internet of Things Journal, 2023 | 6 | 2023 |
Jingyu WangProfessor, Beijing University of Posts and Telecommunications在 bupt.edu.cn 的电子邮件经过验证
