| Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey Y Xiao, J Liu, J Wu, N Ansari IEEE Communications Surveys & Tutorials 23 (4), 2064-2097, 2021 | 82 | 2021 |
| Privacy Preserving Distributed Data Mining Based on Secure Multi-Party Computation J Liu, Y Tian, Y Zhou, Y Xiao, N Ansari Computer Communications 153, 208-216, 2020 | 70 | 2020 |
| Deep Reinforcement Learning-Based Dynamic Spectrum Access for D2D Communication Underlay Cellular Networks J Huang, Y Yang, G He, Y Xiao, J Liu IEEE Communications Letters 25 (8), 2614-2618, 2021 | 28 | 2021 |
| Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things Y Xiao, Y Song, J Liu IEEE Transactions on Wireless Communications 22 (8), 5414-5430, 2023 | 19 | 2023 |
| Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning Y Xiao, Y Song, J Liu ICC 2022-IEEE International Conference on Communications, 4056-4061, 2022 | 10 | 2022 |
| Towards Cognitive Routing Based on Deep Reinforcement Learning J Wu, J Li, Y Xiao, J Liu arXiv preprint arXiv:2003.12439, 2020 | 8 | 2020 |
| Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication Y Song, Y Xiao, Y Chen, G Li, J Liu 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile …, 2022 | 7 | 2022 |
| Power Allocation for Device-to-Multi-Device Enabled HetNets: A Deep Reinforcement Learning Approach Y Xiao, J Wu, J Liu 2021 IEEE Global Communications Conference (GLOBECOM), 01-06, 2021 | 7 | 2021 |
| Collaborative Multi-Agent Deep Reinforcement Learning for Energy-Efficient Resource Allocation in Heterogeneous Mobile Edge Computing Networks Y Xiao, Y Song, J Liu IEEE Transactions on Wireless Communications 23 (6), 6653-6668, 2023 | 5 | 2023 |
| On Design and Implementation of Reinforcement Learning Based Cognitive Routing for Autonomous Networks Y Xiao, J Li, J Wu, J Liu IEEE Communications Letters 27 (1), 205-209, 2022 | 3 | 2022 |
| Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network J Li, Y Xiao, J Wu, J Feng, J Liu 2021 7th IEEE International Conference on Network Intelligence and Digital …, 2021 | 3 | 2021 |
| Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications J Chen, Y Xiao, G Lin, G He, F Liu, W Zhou, J Liu GLOBECOM 2023-2023 IEEE Global Communications Conference, 5208-5213, 2023 | 2 | 2023 |
| GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm X Li, Y Xiao, S Liu, X Lu, F Liu, W Zhou, J Liu 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile …, 2023 | 2 | 2023 |
| Attentive Dual-Head Spatial-Temporal Generative Adversarial Networks for Crowd Flow Generation J Li, Y Xiao, J Wu, Y Chen, J Liu 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile …, 2022 | 2 | 2022 |
| From AI to CI: A Definition of Cooperative Intelligence in Autonomous Driving J Liu, Y Xiao, J Wu International Conference on Internet of Vehicles, 64-75, 2020 | 2 | 2020 |
| Scalable QoS-Aware Multipath Routing in Hybrid Knowledge-Defined Networking with Multi-Agent Deep Reinforcement Learning Y Xiao, Y Yang, H Yu, J Liu IEEE Transactions on Mobile Computing 23 (11), 10628-10646, 2024 | 1 | 2024 |
| Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4 Y Wang, Y Xiao, Y Song, J Zhou, J Liu 2023 19th International Conference on Network and Service Management (CNSM), 1-7, 2023 | 1 | 2023 |
| Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks H Yu, Y Xiao, J Wu, Z He, F Liu, J Liu 2022 IEEE Wireless Communications and Networking Conference (WCNC), 1021-1026, 2022 | 1 | 2022 |
| 一种基于深度强化学习的动态路由算法 肖扬， 吴家威， 李鉴学， 刘军 信息通信技术与政策 46 (9), 48, 2020 | 1 | 2020 |
| Enabling Adaptive Optimization of Energy Efficiency and Quality of Service in NR-V2X Communications via Multi-agent Deep Reinforcement Learning Y Song, Y Xiao, J Liu IEEE Internet of Things Journal, 2024 | | 2024 |
Nirwan AnsariDistinguished Professor of Electrical and Computer Engineering, New Jersey Institute of TechnologyE-mail confirmado em njit.edu