publications

2026

  1. llm_assisted.png
    LLM-assisted Multi-agent Reinforcement Learning for Low-carbon Intelligent Transportation Systems
    Shuhong Dai, Xingtang Wu, Jiawei Nian, Cong Liu, Fang Fang, Konstantinos Makantasis, Georgios Theodoropoulos, and Long Cheng
    IEEE Transactions on Intelligent Transportation Systems, 2026
  2. QuantumAI-Book.png
    Hybrid Quantum-Classical Reinforcement Learning for Scheduling Systems: Hybrid Quantum-Classical Machine Learning Systems
    Yan Gu, Shuhong Dai, Cong Liu, Qing-Le Wang, and Long Cheng
    Quantum Computational AI, 2026

2025

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    Quantum Reinforcement Learning for QoS-aware Real-time Job Scheduling in Cloud Systems
    Shuhong Dai, Nishant Saurabh, Qing-Le Wang, Jiawei Nian, Shuwen Kan, Ying Mao, and Long Cheng
    IEEE Systems Journal, 2025
  2. DRL-Cloud-Review.png
    Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-level Review
    Yan Gu, Zhaoze Liu, Shuhong Dai, Cong Liu, Ying Wang, Shen Wang, Georgios Theodoropoulos, and Long Cheng
    arXiv preprint arXiv:2501.01007, 2025

2024

  1. MARP.png
    MARP: A Cooperative Multi-agent DRL System for Connected Autonomous Vehicle Platooning
    Shuhong Dai, Shike Li, Haichuan Tang, Xin Ning, Fang Fang, Yunxiao Fu, Qing-Le Wang, and Long Cheng
    IEEE Internet of Things Journal, 2024
  2. nv-dram.png
    Approximate Data Mapping in Refresh-free DRAM for Energy-efficient Computing in Modern Mobile Systems
    Sen Li, Hui Jin, Yingke Gao, Ying Wang, Shuhong Dai, Yongjun Xu, and Long Cheng
    Computer Communications, 2024

2023

  1. DataCompression.png
    Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management
    Xuan Chen, Qixuan Yu, Shuhong Dai, Pengfei Sun, Haichuan Tang, and Long Cheng
    IEEE Internet of Things Journal, 2023