- Shengye Pang, Yi Li, Zhen Qin 0004, Xinkui Zhao, Jintao Chen, Fan Wang 0020, Jianwei Yin. Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles. TAAS, 20(3), September 2025.
- Xiaotong Wu, Yuwen Liu 0003, Xiaoxiao Chi, Rong Jiang, Xiaokang Zhou, Wajid Rafique, Maqbool Khan. Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles. TAAS, 20(3), September 2025.
- Yanming Chen 0002, Ziyang Huang, Yiwen Zhang 0001, Weiwei Fang, Neal N. Xiong. LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles. TAAS, 20(3), September 2025.
- Tianlong Gu, Taihang Zhi, Xuguang Bao, Liang Chang 0003. Credible Negotiation for Multi-agent Reinforcement Learning in Long-term Coordination. TAAS, 20(1), March 2025.
- Yihong Yang, ZhangBing Zhou, Lei Shu 0001, Feng Zhou, Walid Gaaloul, Arif Ali Khan. Web 3.0-Enabled Microservice Re-Scheduling for Heterogenous Resources Co-Optimization in Metaverse-Integrated Edge Networks. TAAS, 20(3), September 2025.
- Federico Terraneo, Zaigham Khalid, William Fornaciari, Alberto Leva. Calibration-Free Feedforward Temperature Compensation for Wireless Clock Synchronisation. TAAS, 20(1), March 2025.
- Zoë Porter, Radu Calinescu, Ernest Lim, Victoria J. Hodge, Philippa Ryan, Simon Burton 0001, Ibrahim Habli, Tom Lawton, John A. McDermid, John Molloy, Helen Monkhouse, Phillip Morgan, Paul Noordhof, Colin Paterson, Isobel Standen, Jie Zou 0009. INSYTE: A Classification Framework for Traditional to Agentic AI Systems. TAAS, 20(3), September 2025.
- Jiaye Li 0001, Jiagang Song, Shichao Zhang 0001. Piecewise Weighting Function for Collaborative Filtering Recommendation. TAAS, 20(1), March 2025.
- Mehran Alidoost Nia, Radu Calinescu, Mehdi Kargahi, Alessandro Abate. Efficient Model Verification at Runtime through Adaptive Dynamic Approximation. TAAS, 20(1), March 2025.
- Xiaolong Xu 0001, Linjie Gu, Muhammad Bilal 0003, Maqbool Khan, Yiping Wen, Guoqiang Liu, Yuan Yuan 0004. Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV. TAAS, 20(3), September 2025.