1. Shike Li, Jianbin Li, Yin Liang, Hengyang Zhang, Sixing Wu, Shen Wang, Long Cheng. TD-SAS: A Trust-Aware and Decentralized Speed Advisory System for Energy-Efficient Autonomous Vehicle Platoons, IEEE Transactions on Intelligent Vehicles, 2023
  2. Cong Liu, Ying Wang, Lijie Wen, Jiujun Cheng, Long Cheng, Qingtian Zeng. Discovering Hierarchical Multi-instance Business Processes from Event Logs, IEEE Transactions on Services Computing, 2023
  3. Yan Gu, Feng Cheng, Lijie Yang, Junhui Xu, Xiaomin Chen, Long Cheng. Cost-aware Cloud Workflow Scheduling using DRL and Simulated Annealing, Digital Communications and Networks, 2023
  4. Long Cheng, Yue Wang, Feng Cheng, Cheng Liu, Zhiming Zhao, Ying Wang. A Deep Reinforcement Learning-based Preemptive Approach for Cost-aware Cloud Job Scheduling, IEEE Transactions on Sustainable Computing, 2023.
  5. Jingwei Zhang, Long Cheng, Cong Liu, Zhiming Zhao, Ying Mao. Cost-Aware Scheduling Systems for Real-Time Workflows in Cloud: An Approach based on Genetic Algorithm and Deep Reinforcement Learning, Expert Systems with Applications, 2023
  6. Xiaolu Zhang, Lei Cui, Wuqiang Shen, Jijun Zeng, Li Du, Haoyang He, Long Cheng. File Processing Security Detection in Multi‑cloud Environments: A Process Mining Approach, Journal of Cloud Computing, 2023
  7. Jiaying Guo, Long Cheng, Shen Wang. CoTV: Cooperative Control for Traffic Light Signals and Connected Autonomous Vehicles using Deep Reinforcement Learning, IEEE Transactions on Intelligent Transportation Systems, 2023
  8. Long Cheng, Ying Wang, Rutvij H. Jhaveri, Qingle Wang, Ying Mao. Towards Network-aware Query Execution Systems in Large Datacenters, IEEE Transactions on Network and Service Management, 2023
  9. Baoyin Xiong, Yiguo Guo, Liyang Zhang, Jianbin Li, Xiufeng Liu, Long Cheng. Optimizing Electricity Demand Scheduling in Microgrids Using Deep Reinforcement Learning for Cost-Efficiency, IET Generation, Transmission & Distribution, 2023
  10. Haitong Huang, Xinghua Xue, Cheng Liu, Ying Wang, Tao Luo, Long Cheng, Huawei Li, Xiaowei Li. Statistical Modeling of Soft Error Influence on Neural Networks, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023
  11. Jianbin Li, Jifang Li, Chunlei Xie, Yousheng Liang, Ketong Qu, Long Cheng, Zhiming Zhao. PipCKG-BS: A Method to Build Cybersecurity Knowledge Graph for Blockchain Systems via the Pipeline Approach, Journal of Circuits, Systems, and Computers, 2023
  12. Zhiqiang Chen, Jianbin Li, Long Cheng, Xiufeng Liu. Federated-WDCGAN: A Federated Smart Meter Data Sharing Framework for Privacy Preservation. Applied Energy, 2023
  13. Jianbin Li, Xin Tong, Jinwei Liu, and Long Cheng. An efficient Federated Learning System for Network Intrusion Detection. IEEE Systems Journal, 2023
  14. Long Cheng, Cong Liu, Qingtian Zeng. Optimal Alignments Between Large Event Logs and Process Models over Distributed Systems: An Approach Based on Petri Nets, Information Sciences, 2023
  15. Jinwei Liu, Rui Gong, Long Cheng, Richard A. Alo. DeepHealth: Geospatial and ML-based Approach to Identify Health Disparities and Determinants for Improving Pandemic Health Care. Proc. 32nd International Conference on Computer Communictions and Networks (ICCCN), Hawaii, USA, July 2023.
  16. Ying Xu, Long Cheng, Xuyi Cai, Xiaohan Ma, Weiwei Chen, Lei Zhang, Ying Wang. Efficient Supernet Training Using Path Parallelism. Proc. 29th IEEE International Symposium on High-Performance Computer Architecture (HPCA 2023), Montreal, Canada, Feb 2023.