Journal Articles
He, F, Bujari, A, Bellavista, P, Li, P,
Xiao, Z, Romandini, N, Qiu, Y (2026)
Secure and Cost-Efficient Microservice Placement in MEC Through Network-Aware Adaptation,
ACM Transactions on Internet Technology, 26(3), pp.1-28, ISSN: 1533-5399. DOI:
10.1145/3815782.
Jia, Z, Chen, C, Asheralieva, A, Guan, L,
Xiao, Z (2026)
HAN: Adaptive DRL-based congestion control via model uncertainty,
IEEE Transactions on Network and Service Management, 23, pp.6022-6034, DOI:
10.1109/tnsm.2026.3711195.
Xiao, Z, Zhang, Z, Cui, L, Tso, FP (2026)
InterTwin: An Autonomous Framework for Interoperable Digital Twin Composition and Provisioning,
IEEE Transactions on Services Computing, pp.1-14, DOI:
10.1109/tsc.2026.3747154.
Li, P,
Xiao, Z, Gao, H, Wang, X, Wang, Y (2025)
Reinforcement Learning Based Edge-End Collaboration for Multi-Task Scheduling in 6G Enabled Intelligent Autonomous Transport Systems,
IEEE Transactions on Intelligent Transportation Systems, 26(10), pp.17624-17637, ISSN: 1524-9050. DOI:
10.1109/tits.2024.3525356.
Li, P, Yi, M, Iqbal, M, Wang, X,
Xiao, Z (2025)
Graph-Based Proximal Policy Optimization Empowered Adaptive Task Scheduling Leveraging Cloud–Edge Collaboration for Consumer Electronics,
IEEE Transactions on Consumer Electronics, 71(2), pp.3973-3985, ISSN: 0098-3063. DOI:
10.1109/tce.2024.3476079.
Li, P,
Xiao, Z, Wang, X, Iqbal, M, Casaseca-de-la-Higuera, P (2024)
Multiagent Reinforcement Learning-Based Multimodel Running Latency Optimization in Vehicular Edge Computing Paradigm,
IEEE Systems Journal, 18(4), pp.1860-1870, ISSN: 1932-8184. DOI:
10.1109/jsyst.2024.3407213.
Xiao, Z, Li, P, Liu, C, Gao, H, Wang, X (2024)
MACNS: A generic graph neural network integrated deep reinforcement learning based multi-agent collaborative navigation system for dynamic trajectory planning,
Information Fusion, 105, pp.102250-102250, ISSN: 1566-2535. DOI:
10.1016/j.inffus.2024.102250.
Li, P,
Xiao, Z, Wang, X, Huang, K, Huang, Y, Gao, H (2024)
EPtask: Deep Reinforcement Learning Based Energy-Efficient and Priority-Aware Task Scheduling for Dynamic Vehicular Edge Computing,
IEEE Transactions on Intelligent Vehicles, 9(1), pp.1830-1846, ISSN: 2379-8858. DOI:
10.1109/tiv.2023.3321679.
Xiao, Z, Liu, C, Luo, S, Huang, K, Gao, H, Xu, X, Wang, X (2023)
A collaborative and dynamic multi-source single-destination navigation algorithm for smart cities,
Sustainable Energy Technologies and Assessments, 56, pp.103032-103032, ISSN: 2213-1388. DOI:
10.1016/j.seta.2023.103032.
Conferences
Li, P,
Xiao, Z, Wang, X, Huang, K, Huang, Y, Tchernykh, A (2024)
Multi-agent Reinforcement Learning Based Collaborative Multi-task Scheduling for Vehicular Edge Computing. In
, Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, pp.3-22, DOI:
10.1007/978-3-031-54531-3_1.
Xiao, Z, Harwood, A, Rodriguez, MA (2022)
Optimal Rate Control for Latency-constrained High Throughput Big Data Applications. In
2022 IEEE International Conference on Big Data (Big Data), pp.234-241, DOI:
10.1109/bigdata55660.2022.10021076.
Xiao, Z, Xiao, R, Liu, C, Gao, H, Xu, X, Luo, S, Wang, X (2022)
An Efficient Dynamic Multi-Sources To Single-Destination (DMS-SD) Algorithm In Smart City Navigation Using Adjacent Matrix. In
2022 Human-Centered Cognitive Systems (HCCS), pp.1-6, DOI:
10.1109/hccs55241.2022.10090343.
Chapters
Xiao, R, Sun, J, Wang, Y,
Xiao, Z, Gao, H, Iqbal, M, Ren, P, Luo, C, Wang, X (2026)
KAN-PPO: A Fast Convergence and Stable Proximal Policy Optimization Powered by Kolmogorov–Arnold Network. In
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer Nature Switzerland, pp.183-200, ISBN: 9783031932533. DOI:
10.1007/978-3-031-93254-0_10.
