分布式系统研究组
Distributed Systems Group

论文

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  1. Junfeng Gong, Long Cheng, Jiawei Nin, Cheng Liu, Huawei Li. MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs, ACM Transactions on Embedded Computing Systems, 2026
  2. Jiazheng Zhang, Cheng Liu, Long Cheng, Xiaowei Li, Huawei Li. Understanding and Mitigating Errors of LLM-Generated RTL Code. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2026
  3. Xuan Su, Cong Liu, Shuaipeng Zhang, Qingtian Zeng, Qi Mo, Long Cheng. Towards Efficient Support for Business Process Event Log Sampling. IEEE Transactions on Services Computing, 2026
  4. Jiaxin Yan, Cong Liu, Qingtian Zeng, Jian Cao, Youxi Wu, Chun Ouyang, Long Cheng. Enhancing Process Discovery by Optimizing Imprecise Subprocesses. IEEE Transactions on Services Computing, 2026
  5. Na Guo, Cong Liu, Qingtian Zeng, Youxi Wu, Jinglin Zhang, Xixi Lu, Long Cheng.Detecting Root Causes for Process Performance Anomalies Using Causal Inference. IEEE Transactions on Services Computing, 2026
  6. Qi Liu, Xuemei Fu, Huang Zhang, Long Cheng, Jungong Han, Catarina Moreira, Xin Ning, Xiao Bai. HybridEditDif: Text and Exemplar Guided Image Editing with Diffusion Models, Pattern Recognition, 2026
  7. Huiling Li, Cong Liu, Qinjun Du, Qingtian Zeng, Haobing Liu, Qingle Wang, Long Cheng. Optimizing resource allocation for wind turbine maintenance through process and fault data fusion, Information Fusion, 2026
  8. Jinlong Xie, Liping Zhang, Long Cheng, Jian Yao, Pengjiang Qian, Binrong Zhu, Guiran Liu. MARNet: Multi-scale adaptive relational network for robust point cloud completion via cross-modal fusion, Information Fusion, 2026
  9. Hang Fan, Mingxuan Li, Zuhan Zhang, Long Cheng, Yujian Ye, Weican Liu, Dunnan Liu. M2WLLM: Multi-modal multi-task ultra-short-term wind power prediction algorithm based on large language model, Information Fusion, 2026
  10. Yu Jin, Qingle Wang, Xinhao Li, Yue Li, Yuancheng Li, Kejia Zhang, Hao Liu, Long Cheng. Quantum support vector machine for power quality analysis, Quantum Computational AI, 2026 (Book Chapter)
  11. Yan Gu, Shuhong Dai, Cong Liu, Qingle Wang, Long Cheng. Hybrid quantum-classical reinforcement learning for scheduling systems, Quantum Computational AI, 2026 (Book Chapter)
  12. 房方, 吴兴堂, 程龙, 胡阳, 孙笠, 许昱涵, 张怡. 电力智算系统构建理论与关键技术, 中国科学: 技术科学, 2026.
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  1. Long Cheng, Nishant Saurabh, Ying Mao. Quantum Computational AI, Morgan Kaufmann, 2025 (Edited Book)
  2. Lili Zhang, Haomiaomiao Wang, Long Cheng, Fang Fang. Tighter regulation is needed for AI companions, Nature 642, 572, 2025
  3. 徐颖，王梦迪，程龙，刘炼，赵世新，张磊，王颖. Pipe-RLHF: 计算模式感知的RLHF 并行加速框架, 计算机研究与发展, 2025. （CCF-A期刊封面文章）
  4. Haoran Pei, Yan Gu, Yajuan Sun, Qingle Wang, Cong Liu, Xiaomin Chen, Long Cheng. LLM-based cost-aware task scheduling for cloud computing systems, Journal of Cloud Computing, 2025
  5. Xuan Su, Cong Liu, Qingtian Zeng, Jinglin Zhang, Long Cheng. CrossEdgeIM: An Edge-based Approach for Interactive Robotic Behavior Model Discovery, IEEE Internet of Things Magazine, 2025
  6. Mengyao Wen, Xiufeng Liu, Xin Ning, Cong Liu, Xiaomin Chen, Jiawei Nian, Long Cheng. Deep Reinforcement Learning for Energy-Efficient Workflow Scheduling in Edge Computing, Computer Networks, 2025
  7. Shuhong Dai, Nishant Saurabh, Qingle Wang, Jiawei Nian, Shuwen Kan, Ying Mao, Long Cheng. Quantum reinforcement learning for QoS-aware real-time job scheduling in cloud systems, IEEE Systems Journal, 2025
  8. Ao Zhang, Cong Liu, Konstantinos Makantasis, Xiaomin Chen, Tomas Ward, Long Cheng. DuMES: Deep reinforcement learning based EV charging scheduling with dual-layer safety modules, IET Smart Energy Systems, 2025
  9. Cong Liu, Wenjuan Liu, Na Guo, Rongjia Song, Yan Gu, Long Cheng, Qingtian Zeng. Comparative evaluation of encoding techniques for workflow process remaining time prediction for cloud applications, Journal of Cloud Computing, 2025
  10. Xin Ning, Shanwei Gao, Jentang Liu, Long Cheng, Yugui Zhang. Few-shot agricultural disease detection method using contextual attention generation, Alexandria Engineering Journal, 2025
  11. Baoyin Xiong, Lili Zhang, Yang Hu, Fang Fang, Qingzhi Liu, Long Cheng. Deep reinforcement learning for optimal microgrid energy management with renewable energy and electric vehicle integration, Applied Soft Computing, 2025
  12. Guodong Li, Haiyan He, Yue Li, Xinhao Li, Hao Liu, Qingle Wang, Long Cheng. A quantum neural network-based approach to power quality disturbances detection and recognition, Physica Scripta, 2025
  13. Huiling Li, Cong Liu, Qinjun Du, Qingtian Zeng, Jinglin Zhang, Georgios Theodoropoulo, Long Cheng. Sampling-Based Next-Event Prediction for Wind-Turbine Maintenance Processes, Energies, 2025
  14. Long Cheng, Ying Mao, Ward Tomas. Neural network models in autonomous robotics, Frontiers in Neurorobotics, 2025
  15. 刘文娟, 刘聪, 张在贵, 李彩虹, 程龙, 曾庆田. 对象为中心流程模型挖掘与正确性验证方法, 计算机集成制造系统, 2025
  16. Jiawei Nian, Mengfei Yang, Xin Gao, Hongjin Liu, Fang Fang, Long Cheng, Xingtang Wu. RPFF-PA : Reliable and parallel fault-tolerant framework for path latency reduction deployed in register arrays, ACM Transactions on Embedded Computing Systems, 2025
  17. Cong Liu, Huiling Li, Qingtian Zeng, Qi Mo, Mengchu Zhou, Long Cheng, Shangce Gao. Behavior-Preserving Top-down Construction of Cross-organization Emergency Response Processes, IEEE/CAA Journal of Automatica Sinica, 2025
  18. Haoyang He, Yan Gu, Yang Hu, Fang Fang, Xin Ning, Xiaomin Chen, Long Cheng. Real-time workflow scheduling in hybrid clouds with privacy and security constraints: A deep reinforcement learning approach, Expert Systems With Applications, 2025
  19. Guodong Li, Fangce Yu, Qingle Wang, Lin Liu, Ying Mao, Long Cheng. Quantum neural network classifier with differential privacy, Physica Scripta, 2025
  20. Hairui Xu, Ao Zhang, Qingle Wang, Yang Hu, Fang Fang, Long Cheng. Quantum reinforcement learning for real-time optimization in Electric Vehicle charging systems, Applied Energy, 2025
  21. Lian Liu, Long Cheng, Haimeng Ren, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang. COMET: Towards practical W4A4KV4 LLMs serving. Proc. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Rotterdam, The Netherlands, April 2025
  22. Xuan Su, Cong Liu, Faming Lu, Long Cheng, Qingtian Zeng, Jiehan Zhou. Enhancing Healthcare Process Model Discovery through Duplicate Task Identification, Proc. IEEE International Conference on Web Services （ICWS）, 2025
  23. Xuan Su, Cong Liu, Faming Lu, Long Cheng, Qingtian Zeng, Shouli Zhang. EdgeIM: An Efficient Edge-based Process Model Discovery Technique, Proc. IEEE International Conference on Web Services （ICWS）, 2025
  24. Jiaxin Yan, Cong Liu, Long Cheng, Jiujun Cheng, Weijian Ni, Qingtian Zeng. Enhancing Manufacturing Process Discovery Through Sub-Process Optimization, Proc. IEEE International Conference on Web Services （ICWS）, 2025
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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. Sike Li, Long Cheng. Security and privacy of electric vehicles in intelligent speed advisory systems, IEEE Consumer Electronics Magazine, 2024
  3. Qingle Wang, Jiacheng Liu, Guodong Li, Yunguang Han, Yuqian Zhou, Long Cheng. A measurement-device-independent quantum secure digital payment, Physica A: Statistical Mechanics and its Applications, 2024
  4. Qingle Wang, Yu Jin, Xinhao Li, Yue Li, Yuancheng Li, Kejia Zhang, Hao Liu, Long Cheng. An advanced quantum support vector machine for power quality disturbance detection and identification, EPJ Quantum Technology, 2024
  5. Haoyang He, Yan Gu, Qingzhi Liu, Hao Wu, Long Cheng. Job Scheduling in Hybrid Clouds With Privacy Constraints: A Deep Reinforcement Learning Approach, Concurrency and Computation: Practice and Experience, 2024
  6. 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
  7. 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
  8. 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
  9. Jiawei Liu, Qingxia Mu, Ronghua Che, Qingle Wang, Yunguang Han and Long Cheng. Multi-participant quantum anonymous communication based on high-dimensional entangled states, Physica Scripta, 2024
  10. 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
  11. Shuhong Dai, Shike Li, Haichuan Tang, Xin Ning, Fang Fang, Yunxiao Fu, Qingle Wang, Long Cheng. MARP: A Cooperative Multiagent DRL System for Connected Autonomous Vehicle Platooning, IEEE Internet of Things Journal, 2024
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. Long Cheng, Xiaomin Chen, Zhiming Zhao. Preface of special issue on Artificial Intelligence for time-critical computing systems, Future Generation Computer Systems, 2024
  18. 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
  19. 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
  20. Ao Zhang, Qingzhi Liu, Jinwei Liu, Long Cheng. CASA: Cost-effective EV Charging Scheduling based on Deep Reinforcement Learning, Neural Computing and Applications, 2024
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. Long Cheng, Huiru Yan, Hanlin Zhou, Ying Wang, Haichuan Tang, Fang Fang. Prototype Guided Personalized Federated Intrusion Detection System. Proc. 21st IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), Fiji, Dec 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.
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  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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