Yang Xiao

Multi-step prediction of main pump leakage in nuclear power plants with an additive model

Jie Liu, Yang Xiao, Qing Su, 2023, Progress in Nuclear Energy.

Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey

Nirwan Ansari, Jun Liu, Yang Xiao, 2021, IEEE Communications Surveys & Tutorials.

Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning

Jun Liu, Yuqian Song, Yang Xiao, 2022, ICC 2022 - IEEE International Conference on Communications.

Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things

Jun Liu, Yuqian Song, Yang Xiao, 2023, IEEE Transactions on Wireless Communications.

From AI to CI: A Definition of Cooperative Intelligence in Autonomous Driving

Jiawei Wu, Yang Xiao, Jun Liu, 2019, IOV.

Attentive Dual-Head Spatial-Temporal Generative Adversarial Networks for Crowd Flow Generation

Jun Liu, Jiawei Wu, Yang Xiao, 2022, 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm

Yang Xiao, Xinyuan Li, Sixu Liu, 2023, 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).