From AI to CI: A Definition of Cooperative Intelligence in Autonomous Driving. - Jun Liu 014; Yang Xiao 013; Jiawei Wu 004 (IOV, 2019)

Privacy preserving distributed data mining based on secure multi-party computation. - Jun Liu 014; Yuan Tian; Yu Zhou; Yang Xiao 013; Nirwan Ansari (Comput. Commun., 2020)

Towards Cognitive Routing based on Deep Reinforcement Learning. - Jiawei Wu 004; Jianxue Li; Yang Xiao 013; Jun Liu 014 (CoRR, 2020)

Power Allocation for Device-to-Multi-Device Enabled HetNets: A Deep Reinforcement Learning Approach. - Yang Xiao 013; Jiawei Wu 004; Jun Liu 014 (GLOBECOM, 2021)

Network Flow Generation Based on Reinforcement Learning Powered Generative Adversarial Network. - Jianxue Li; Yang Xiao 013; Jiawei Wu 004; Jialong Feng; Jun Liu 014 (IC-NIDC, 2021)

Leveraging Deep Reinforcement Learning for Traffic Engineering: A Survey. - Yang Xiao 013; Jun Liu 014; Jiawei Wu 004; Nirwan Ansari (IEEE Commun. Surv. Tutorials, 2021)

Deep Reinforcement Learning-Based Dynamic Spectrum Access for D2D Communication Underlay Cellular Networks. - Jingfei Huang; Yang Yang 007; Gang He; Yang Xiao 013; Jun Liu 014 (IEEE Commun. Lett., 2021)

Towards Energy Efficient Resource Allocation: When Green Mobile Edge Computing Meets Multi-Agent Deep Reinforcement Learning. - Yang Xiao 013; Yuqian Song; Jun Liu 014 (ICC, 2022)

Attentive Dual-Head Spatial-Temporal Generative Adversarial Networks for Crowd Flow Generation. - Jianxue Li; Yang Xiao 013; Jiawei Wu 004; Yaozhi Chen; Jun Liu 014 (PIMRC, 2022)

Deep Reinforcement Learning Enabled Energy-Efficient Resource Allocation in Energy Harvesting Aided V2X Communication. - Yuqian Song; Yang Xiao 013; Yaozhi Chen; Guanyu Li; Jun Liu 014 (PIMRC, 2022)

Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks. - Huihan Yu; Yang Xiao 013; Jiawei Wu 004; Zilong He; Fang Liu 026; Jun Liu 014 (WCNC, 2022)

Deep Reinforcement Learning Based Probabilistic Cognitive Routing: An Empirical Study with OMNeT++ and P4. - Yixing Wang; Yang Xiao 013; Yuqian Song; Jingli Zhou; Jun Liu 014 (CNSM, 2023)

Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications. - Jiawei Chen; Yang Xiao 013; Guocheng Lin; Gang He; Fang Liu 026; Wenli Zhou; Jun Liu 014 (GLOBECOM, 2023)

RL4NET++: A Packet-Level Network Simulation Framework for DRL-Based Routing Algorithms. - Jiawei Chen; Yang Xiao 013; Guocheng Lin (IC-NIDC, 2023)

GAPPO - A Graph Attention Reinforcement Learning based Robust Routing Algorithm. - Xinyuan Li; Yang Xiao 013; Sixu Liu; Xucong Lu; Fang Liu 026; Wenli Zhou; Jun Liu 014 (PIMRC, 2023)

On Design and Implementation of Reinforcement Learning Based Cognitive Routing for Autonomous Networks. - Yang Xiao 013; Jianxue Li; Jiawei Wu 004; Jun Liu 014 (IEEE Commun. Lett., 2023)

Multi-Agent Deep Reinforcement Learning Based Resource Allocation for Ultra-Reliable Low-Latency Internet of Controllable Things. - Yang Xiao 013; Yuqian Song; Jun Liu 014 (IEEE Trans. Wirel. Commun., 2023)

CGTR: Leveraging Contrastive Learning and Graph Transformer for Deep Reinforcement Learning Based Robust Routing. - Xinyuan Li; Junze Li; Yang Xiao 013; Sixu Liu; Jun Liu 014 (ICC, 2024)

Collaborative Multi-Agent Deep Reinforcement Learning for Energy-Efficient Resource Allocation in Heterogeneous Mobile Edge Computing Networks. - Yang Xiao 013; Yuqian Song; Jun Liu 014 (IEEE Trans. Wirel. Commun., 2024)

Scalable QoS-Aware Multipath Routing in Hybrid Knowledge-Defined Networking With Multiagent Deep Reinforcement Learning. - Yang Xiao 013; Ying Yang; Huihan Yu; Jun Liu 014 (IEEE Trans. Mob. Comput., 2024)

Enabling Adaptive Optimization of Energy Efficiency and Quality of Service in NR-V2X Communications via Multiagent Deep Reinforcement Learning. - Yuqian Song; Yang Xiao 013; Jun Liu 014 (IEEE Internet Things J., 2025)

Adaptive Joint Routing and Caching in Knowledge-Defined Networking: An Actor-Critic Deep Reinforcement Learning Approach. - Yang Xiao 013; Huihan Yu; Ying Yang; Yixing Wang; Jun Liu 014; Nirwan Ansari (IEEE Trans. Mob. Comput., 2025)