Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies. - Zijiang Yan; Hina Tabassum (GLOBECOM, 2022)

Multi-UAV Speed Control with Collision Avoidance and Handover-Aware Cell Association: DRL with Action Branching. - Zijiang Yan; Wael Jaafar; Bassant Selim; Hina Tabassum (GLOBECOM, 2023)

Optimizing Vehicular Networks with Variational Quantum Circuits-Based Reinforcement Learning. - Zijiang Yan; Ramsundar Tanikella; Hina Tabassum (INFOCOM (Workshops), 2024)

Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks. - Zijiang Yan; Hina Tabassum (CoRR, 2024)

CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks. - Zijiang Yan; Hao Zhou 013; Jianhua Pei; Aryan Kaushik; Hina Tabassum; Ping Wang 001 (CoRR, 2025)

Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks. - Zijiang Yan; Jianhua Pei; Hongda Wu; Hina Tabassum; Ping Wang 001 (CoRR, 2025)

Hybrid LLM-DDQN-Based Joint Optimization of V2I Communication and Autonomous Driving. - Zijiang Yan; Hao Zhou 013; Hina Tabassum; Xue Liu 001 (IEEE Wirel. Commun. Lett., 2025)

Hierarchical and Collaborative LLM-Based Control for Multi-UAV Motion and Communication in Integrated Terrestrial and Non-Terrestrial Networks. - Zijiang Yan; Hao Zhou 013; Jianhua Pei; Hina Tabassum (CoRR, 2025)