分布式系统研究组
Distributed Systems Group

论文

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  1. Long Cheng, Haoyang He, Yan Gu, Qingzhi Liu, Zhiming Zhao, Fang Fang. MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection, Proceedings of 30th IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2024 (会议唯一最佳论文奖)

  2. Haoyang He, Yan Gu, Qingzhi Liu, Hao Wu, Long Cheng. Job Scheduling in Hybrid Clouds with Privacy Constraints: A DRL Approach, Concurrency and Computation: Practice and Experience, 2024

  3. Qingle Wang, Yixi Xu, Guodong Li, Yunguang Han, Yuqian Zhou, Xin Li, Long Cheng. A Novel Authenticated Quantum Anonymous SecretSharing for Classical and Quantum Information, Advanced Quantum Technologies, 2024

  4. 沈晓林， 刘聪， 李会玲， 郑凯， 程龙， 曾庆田. 基于流程模型分解的分布式合规性检查方法, 计算机集成制造系统, 2024

  5. 王颖， 刘聪， 沈晓林， 高庆鑫， 闻立杰， 程龙， 曾庆田. 一种面向无标记事件日志的案例识别方法, 计算机集成制造系统 , 2024

  6. Qingle Wang, Yingying Wang, Yuancheng Li, Guodong Li, Yunguang Han, Long Cheng. A secure dynamic quantum anonymous secret sharing protocol utilizing GHZ states, Physica Scripta, 2024

  7. Huiru Yan, Yan Gu, Haoyang He, Xin Ning, Qingle Wang, Long Cheng. DNN-based Task Partitioning and Offloading in Edge-Cloud Collaboration within Electric Vehicles, IEEE Transactions on Consumer Electronics, 2024

  8. Jiawei Liu, Qingxia Mu, Ronghua Che, Qingle Wang, Yunguang Han, Long Cheng. Multi-participant quantum anonymous communication based on high-dimensional entangled states, Physica Scripta, 2024

  9. Qiupu Chen, Feng He, Gang Wang, Xiao Bai, Long Cheng, Xin Ning. Dual Guidance Enabled Fuzzy Inference for Enhanced Fine-Grained Recognition, IEEE Transactions on Fuzzy Systems, 2024

  10. Shuhong Dai, Shike Li, Haichuan Tang, Xin Ning, Fang Fang, Yunxiao Fu, Qingle Wang, Long Cheng. MARP: A Cooperative Multi-Agent DRL System for Connected Autonomous Vehicle Platooning, IEEE Internet of Things Journal, 2024

  11. Meilan Hao, Zhongkang Zhang, Lei Li, Kejian Dong, Long Cheng, Prayag Tiwari, Xin Ning. Coarse to Fine-based Image–Point Cloud Fusion Network for 3D Object Detection, Information Fusion, 2024

  12. Jianbin Li, Hengyang Zhang, Qixuan Yu, Shike Li, Long Cheng, Sixing Wu. BD-TTS: A blockchain and DRL-based framework for trusted task scheduling in edge computing, Computer Networks, 2024

  13. Jinlong Xie, Long Cheng, Gang Wang, Zaiyang Yu, Minghua Du, Xin Ning. Fusing Differentiable Rendering and Language-Image Contrastive Learning for Superior Zero-Shot Point Cloud Classification, Displays, 2024

  14. Long Cheng, Lei Yang, Qingzhi Liu, John Murphy. Guest Editorial of the Special Section on Intelligent Computing for Big Data in Consumer Internet of Things, IEEE Transactions on Consumer Electronics, 2024

  15. Guodong Li, Wenchuan Cheng, Qingle Wang, Long Cheng, Ying Mao, Hengyue Jia. Enhanced Quantum Secret Sharing Protocol for Anonymous Secure Communication Utilizing W States, iScience, 2024

  16. Long Cheng, Xiaomin Chen, Zhiming Zhao. Preface of special issue on Artificial Intelligence for time-critical computing systems, Future Generation Computer Systems, 2024

  17. Long Cheng, Li Du, Cong Liu, Yang Hu, Fang Fang, Tomas Ward. Multi-modal fusion for business process prediction in call center scenarios, Information Fusion, 2024

  18. Jiawei Liu, Qingle Wang, Qingxia Mu, Yuancheng Li, Long Cheng, Wenqi Sun. Advancing multi-party quantum key agreement protocols: the power of a two-layer approach, Quantum Information Processing, 2024

  19. Ao Zhang, Qingzhi Liu, Jinwei Liu, Long Cheng. CASA: Cost-effective EV Charging Scheduling based on Deep Reinforcement Learning, Neural Computing and Applications, 2024

  20. Long Cheng, Yan Gu, Qingzhi Liu, Lei Yang, Cheng Liu, Ying Wang. Advancements in Accelerating Deep Neural Network Inference on AIoT Devices: A Survey, IEEE Transactions on Sustainable Computing, 2024

  21. Sen Li, Hui Jin, Yingke Gao, Ying Wang, Shuhong Dai, Yongjun Xu, Long Cheng. Approximate Data Mapping in Refresh-Free DRAM for Energy-Efficient Computing in Modern Mobile Systems, Computer Communications, 2024

  22. Jianbin Li, Zeshuo Jiang, Zhiqiang Chen, Jinwei Liu, Long Cheng. CuEMS: Deep Reinforcement Learning for Community Control of Energy Management Systems in Microgrids, Energy and Buildings, 2024

  23. Qingzhi Liu, Yuchen Huang, Chenglu Jin, Xiaohan Zhou, Ying Mao, Cagatay Catal, Long Cheng. Privacy and Integrity Protection for IoT Multimodal Data using Machine Learning and Blockchain, ACM Transactions on Multimedia Computing, Communications, and Applications, 2024

  24. Xuan Chen, Qixuan Yu, Shuhong Dai, Pengfei Sun, Haichuan Tang, Long Cheng. Deep Reinforcement Learning for Efficient IoT Data Compression in Smart Railroad Management, IEEE Internet of Things Journal, 2024

  25. Zhenyue Long, Huiru Yan, Guiquan Shen, Xiaolu Zhang, Haoyang He and Long Cheng. A Transformer-based Network Intrusion Detection Approach for Cloud Security, Journal of Cloud Computing, 2024

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  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.
Edit Content
  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 Blockchain, IEEE 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 Nets, Information 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 Validation, Physical 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 Cluster. IEEE 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 System. IEEE Transactions on Vehicular Technology, 2022

  6. Jianbin Li, Zhiqiang Chen, Long Cheng, Xiufeng Liu. Energy Data Generation with Wasserstein Deep Convolutional Generative Adversarial Networks. Energy, 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 Learning. Neural Computing and Applications, 2022

  8. Cong Liu, Huiling Li, Shuaipeng Zhang, Long Cheng, Qingtian Zeng. Cross-Department Collaborative Healthcare Process Model Discovery from Event Logs. IEEE 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 Cloud. IEEE Transactions on Cloud Computing, 2022.

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