1. Shike Li, Jianbin Li, Jiaming Pei, Sixing Wu, Shen Wang, Long Cheng. Eco-CSAS: A Safe and Eco-friendly Speed Advisory System for Autonomous Vehicle Platoon using Consortium BlockchainIEEE Transactions on Intelligent Transportation Systems, 2022
  2. Long Cheng, Cong Liu, Qingtian Zeng. Optimal Alignments Between Large Event Logs and Process Models over Distributed Systems: An Approach Based on Petri NetsInformation Sciences, 2023
  3. Ramesh Chand Meena, Surbhi Bhatia, Rutvij Jhaveri, Long Cheng, Ankit Kumar, Arwa Mashate. HyPASS: Design of Hybrid-SDN Prevention of Attacks of Source Spoofing with Host Discovery and Address ValidationPhysical Communication, 2022
  4. Ying Mao, Vaishali Sharma, Wenjia Zheng, Long Cheng, Qiang Guan, Ang Li. Elastic Resource Management for Deep Learning Applications in a Container ClusterIEEE Transactions on Cloud Computing, 2022
  5. Jianbin Li, Shike Li, Long Cheng, Qingzhi Liu, Jiaming Pei, Shen Wang. BSAS: A Blockchain-based Trustworthy and Privacy-Preserving Speed Advisory SystemIEEE Transactions on Vehicular Technology, 2022
  6. Jianbin Li, Zhiqiang Chen, Long Cheng, Xiufeng Liu. Energy Data Generation with Wasserstein Deep Convolutional Generative Adversarial NetworksEnergy, 257: 124694, 2022 (ESI Highly Cited Paper).
  7. Long Cheng, Archana Kalapgar, Amogh Jain, Yue Wang, Yongtai Qin, Yuancheng Li, Cong Liu. Cost-aware Real-time Job Scheduling for Hybrid Cloud using Deep Reinforcement LearningNeural Computing and Applications, 2022
  8. Cong Liu, Huiling Li, Shuaipeng Zhang, Long Cheng, Qingtian Zeng. Cross-Department Collaborative Healthcare Process Model Discovery from Event LogsIEEE Transactions on Automation Science and Engineering, 2022.
  9. Ying Mao, Weifeng Yan, Yun Song, Yue Zeng, Ming Chen, Long Cheng, Qingzhi Liu. Differentiate Quality of Experience Scheduling for Deep Learning Inferences with Docker Containers in the CloudIEEE Transactions on Cloud Computing, 2022.