Publications

(* denotes co-first author)

Preprints

• Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks.
  Zijiang Yan*, Jianhua Pei*, Hongda Wu, Hina Tabassum, Ping Wang
  Submitted in Feb. 2025, DOI: arXiv.2502.05695.
  

• Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks.
  Zijiang Yan, Hina Tabassum
  Submitted in May. 2024, DOI: arXiv.2405.11331.
  [Poster] [5 minutes Video] [Illustration Demo]

Journal Papers

• Hybrid LLM-DDQN based Joint Optimization of V2I Communication and Autonomous Driving.
  Zijiang Yan, Hao Zhou, Hina Tabassum, Xue Liu
  IEEE Wireless Communications Letters, Feb. 2025. DOI: 10.1109/LWC.2025.3539638.
  [Supplementary Materials]

Conference Papers

• CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks.
  Zijiang Yan, Hao Zhou, Jianhua Pei, Aryan Kaushik, Hina Tabassum, Ping Wang
  in ICC 2025 - IEEE International Conference on Communications, Jun. 2025.

• Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning.
  Zijiang Yan, Ramsundar Tanikella, Hina Tabassum
  in INFOCOM 2024 Poster - IEEE International Conference on Computer Communications, May. 2024.
  [Poster]

• Multi-UAV Speed Control with Collision Avoidance and Handover-Aware Cell Association - DRL with Action Branching.
  Zijiang Yan, Wael Jaafar, Bassant Selim, Hina Tabassum
  in GLOBECOM 2023 - IEEE Global Communications Conference, Dec. 2023.

• Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies.
  Zijiang Yan, Hina Tabassum
  in GLOBECOM 2022 - IEEE Global Communications Conference, Dec. 2022