Shuhong Dai

• Dai, Shuhong and Wu, Xingtang and Nian, Jiawei and Liu, Cong and Fang, Fang and Makantasis, Konstantinos and Theodoropoulos, Georgios and Cheng, Long. LLM-Assisted Multi-Agent Reinforcement Learning for Low-Carbon Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. IEEE, , 2026, pp. 1--11. [Publisher]

• Gu, Yan and Dai, Shuhong and Liu, Cong and Wang, Qing-Le and Cheng, Long. Hybrid Quantum-Classical Reinforcement Learning for Scheduling Systems. Quantum Computational AI. Elsevier, , 2026, pp. 117--133. [Publisher]

• Dai, Shuhong and Saurabh, Nishant and Wang, Qing-Le and Nian, Jiawei and Kan, Shuwen and Mao, Ying and Cheng, Long. Quantum Reinforcement Learning for QoS-Aware Real-Time Job Scheduling in Cloud Systems. IEEE Systems Journal. IEEE, , 2025, pp. 471--482. [Publisher]

• Gu, Yan and Liu, Zhaoze and Dai, Shuhong and Liu, Cong and Wang, Ying and Wang, Shen and Theodoropoulos, Georgios and Cheng, Long. Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review. arXiv preprint arXiv:2501.01007. , , 2025, pp. . [Publisher]

• Dai, Shuhong and Li, Shike and Tang, Haichuan and Ning, Xin and Fang, Fang and Fu, Yunxiao and Wang, Qing-Le and Cheng, Long. MARP: A Cooperative Multiagent DRL System for Connected Autonomous Vehicle Platooning. IEEE Internet of Things Journal. IEEE, , 2024, pp. 32454--32463. [Publisher]

• Li, Sen and Jin, Hui and Gao, Yingke and Wang, Ying and Dai, Shuhong and Xu, Yongjun and Cheng, Long. Approximate Data Mapping in Refresh-Free DRAM for Energy-Efficient Computing in Modern Mobile Systems. Computer Communications. Elsevier, , 2024, pp. 151--158. [Publisher]

• Chen, Xuan and Yu, Qixuan and Dai, Shuhong and Sun, Pengfei and Tang, Haichuan and Cheng, Long. Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management. IEEE Internet of Things Journal. IEEE, , 2024, pp. 25494--25504. [Publisher]