2025

  1. Lili Zhang, Haomiaomiao Wang, Long Cheng, Fang Fang. Tighter regulation is needed for AI companions, Nature 642, 572, 2025.
  2. 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）
  3. 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
  4. 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
  5. 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.
  6. Long Cheng, Ying Mao, Ward Tomas. Neural network models in autonomous robotics, Frontiers in Neurorobotics, 2025
  7. 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.
  8. 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
  9. 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
  10. 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
  11. Guodong Li, Fangce Yu, Qingle Wang, Lin Liu, Ying Mao, Long Cheng. Quantum neural network classifier with differential privacy, Physica Scripta, 2025
  12. 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
  13. 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
  14. 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.
  15. 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.

2024

  1. Sike Li, Long Cheng. Security and privacy of electric vehicles in intelligent speed advisory systems, IEEE Consumer Electronics Magazine, 2024
  2. 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
  3. 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
  4. 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
  5. 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
  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 and 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 Multiagent 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
  26. 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.
  27. 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. Proc. 30th IEEE International Conference on Parallel and Distributed Systems (ICPADS), Belgrade, Serbia, Oct 2024 (Best Paper Award).

2023

  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, 2024
  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.

2022

  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. 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
  3. 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
  4. 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
  5. Jianbin Li, Zhiqiang Chen, Long Cheng, Xiufeng Liu. Energy Data Generation with Wasserstein Deep Convolutional Generative Adversarial Networks. Energy, 257: 124694, 2022
  6. 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
  7. 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.
  8. 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.
  9. Cong Liu, Long Cheng, Qingtian Zeng, Lijie Wen. Formal Modeling and Discovery of Hierarchical Business Processes: A Petri Net based Approach. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2022.
  10. Feng Cheng, Yifeng Huang, Bhavana Tanpure, Pawan Sawalani, Long Cheng, Cong Liu. Cost-Aware Job Scheduling for Cloud Instances using Deep Reinforcement Learning. Cluster Computing, 25(1): 619-631, 2022.
  11. Ying Wang, Yintao He, Long Cheng, Huawei Li, Xiaowei Li. A Fast Precision Tuning Solution for Always-On DNN Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(5): 1236-1248, 2022.
  12. Cong Liu, Qingtian Zeng, Long Cheng, Hua Duan, Jiujun Cheng. Measuring Similarity for Data-aware Business Processes. IEEE Transactions on Automation Science and Engineering, 19(2): 1070-1082, 2022.
  13. Jingchen Yan, Yifeng Huang, Aditya Gupta, Anubhav Gupta, Cong Liu, Jianbin Li, Long Cheng. Energy-aware Systems for Real-time Job Scheduling in Cloud Data Centers: A Deep Reinforcement Learning Approach. Computers and Electrical Engineering, 99: 107688, 2022.
  14. Qingzhi Liu, Tiancong Xia, Long Cheng, Merijn van Eijk, Tanir Ozcelebi, Ying Mao. Deep Reinforcement Learning for Load-Balancing Aware Network Control in IoT Edge Systems. IEEE Transactions on Parallel and Distributed Systems, 33(6): 1491-1502, 2022.
  15. Jinwei Liu, Xiaonan Zhang, Richard A. Alo, Long Cheng, Feng Deng. CrossCas: A Novel Cross-platform Approach for Predicting Cascades in Online Social Networks with Hidden Markov Model. Proc. IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, Dec 2022.
  16. Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen. Iterative Qubits Management for Quantum Index Searching in a Hybrid System. Proc. 41st IEEE International Performance, Computing, and Communications Conference (IPCCC), Austin, USA, Nov 2022.
  17. Yuqi Fu, Naseem Machlovi, Ying Mao, Jiayin Wang, Long Cheng, Qingzhi Liu. Performance Evaluation of Resource Management Schemes for Cloud Native Platforms with Computing Containers. Proc. 41st IEEE International Performance, Computing, and Communications Conference (IPCCC), Austin, USA, Nov 2022.

2021

  1. Ying Mao, Yuqi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao. Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. IEEE Systems Journal, 2021.
  2. Yifeng Huang, Long Cheng, Lianting Xue, Cong Liu, Yuancheng Li, Jianbin Li, Tomas Ward. Deep Adversarial Imitation Reinforcement Learning for QoS-aware Cloud Job Scheduling. IEEE Systems Journal, 2021.
  3. Kaiwei Zou, Ying Wang, Long Cheng, Songyun Qu, Huawei Li, Xiaowei Li. CAP: Communication-aware Automated Parallelization for Deep Learning Inference on CMP Architectures. IEEE Transactions on Computers, 2021.
  4. Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng. R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors. IEEE Transactions on Very Large Scale Integration Systems, 29(11): 1955-1966, 2021.
  5. Mingming Liu, Long Cheng, Yingqi Gu, Ying Wang, Qingzhi Liu, Noel O’Connor. MPC-CSAS: Multi-Party Computation for Real-time Privacy-preserving Speed Advisory Systems. IEEE Transactions on Intelligent Transportation Systems, 2021.
  6. Qingzhi Liu, Long Cheng, Adele Jia, Cong Liu. Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. IEEE Network, 35(2): 112-119, 2021.
  7. Long Cheng, Ying Wang, Qingzhi Liu, Dick Epema, Cheng Liu, Ying Mao, John Murphy. Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers. IEEE Transactions on Parallel and Distributed Systems, 32(6): 1494-1510, 2021.
  8. Xuan Chen, Feng Cheng, Cong Liu, Long Cheng, Yin Mao. An Improved Wolf Pack Algorithm for Optimization Problems: Design and Evaluation. PLOS ONE, 16(8), 2021.
  9. Qingzhi Liu, Long Cheng, Renan Alves, Tanir Ozcelebi, Fernando Kuipers, Guixian Xu, Johan Lukkien, Shanzhi Chen. Cluster-based Flow Control in Hybrid Software-Defined Wireless Sensor Networks. Computer Networks, 187: 107788, 2021.
  10. Jinwei Liu, Haiying Shen, Hongmei Chi, Husnu Saner Narman, Yongyi Yang, Long Cheng, Wingyan Chung. A Low-cost Multi-failure Resilient Replication Scheme with Data Correlation for High Data Availability in Cloud Storage. IEEE/ACM Transactions on Networking, 29(4): 1436-1451, 2021.
  11. Cong Liu, Yulong Pei, Long Cheng, Qingtian Zeng, Hua Duan. Sampling Business Process Event Logs Using Graph-based Ranking Model. Concurrency and Computation: Practice and Experience, 33(5), 2021.
  12. Ying Wang, Yongchen Wang, Cong Shi, Long Cheng, Huawei Li, Xiaowei Li. An Edge 3D CNN Accelerator for Low Power Activity Recognition. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 40(5): 918-930, 2021.
  13. Cong Liu, Qingtian Zeng, Long Cheng, Hua Duan, Mengchu Zhou, Jiujun Cheng. Privacy-preserving Behavioral Correctness Verification of Cross-organizational Workflow with Task Synchronization Patterns. IEEE Transactions on Automation Science and Engineering, 18(3): 1037-1048, 2021.
  14. Lianting Xue, Long Cheng, Yuancheng Li, Ying Mao. Quantum Machine Learning for Electricity Theft Detection: An Initial Investigation. Proc. 14th IEEE International Conference on Cyber, Physical and Social Computing, pp. 204-208, Melbourne, Australia, Dec 2021.
  15. Xingrong Xu, Cong Liu, Ting Li, Na Guo, Lijie Wen, Qingtian Zeng, Long Cheng. An Empirical Evaluation of Encoding in Business Process Remaining Time. ChinaService 2021, Huzhou, China, Dec 2021.
  16. Jinwei Liu, Long Cheng, Ankur Sarker, Li Yan. DeepTrack: An ML-based Approach to Health Disparity Identification and Determinant Tracking for Improving Pandemic Health Care. 2021 IEEE International Conference on Big Data, pp. 1692-1698, Orlando, USA, Dec 2021.
  17. Li Du, Long Cheng, Cong Liu. Process Mining for Wind Turbine Maintenance Process Analysis: A Case Study. EI2: Proc. 5th IEEE Conference on Energy Internet and Energy System Integration, Taiyuan, China, Nov 2021.
  18. 王颖，刘聪，闻立杰，曾庆田，程龙. 分层多实例过程模型挖掘方法. 中国业务过程管理大会， August 2021 （最佳学生论文奖，最具有企业应用价值奖).
  19. Jianbin Li, Ketong Qu, Jingchen Yan, Liting Zhou, Long Cheng. TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs. KSEM 2021: Proc. 14th International Conference on Knowledge Science, Engineering and Management, pp. 154-165, Tokyo, Japan, August 2021.
  20. Jinwei Liu, Long Cheng, Hongmei Chi, Cong Liu, Richard Alo: CDetector: Extracting Textual Features of Financial Social Media to Detect Cyber Attacks. ICCCN’21: Proc. 30th International Conference on Computer Communications and Networks, Athens, Greece, July 2021.
  21. Jinwei Liu, Long Cheng. SwiftS: A Dependency-Aware and Resource Efficient Scheduling for High Throughput in Clouds. INFOCOM 2021: Proc. IEEE International Conference on Computer Communications 2021, Virtual Conference, May 2021.

Before 2021

  1. Michael J. Maher, Ilias Tachmazidis, Grigoris Antoniou, Stephen Wade, Long Cheng. Rethinking Defeasible Reasoning: A Scalable Approach. Theory and Practice of Logic Programming, 20(4): 552–586, 2020.
  2. Xuan Chen, Long Cheng, Cong Liu, Qingzhi Liu, Jinwei Liu, Ying Mao, John Murphy. A WOA-Based Optimization Approach for Task Scheduling in Cloud Computing Systems. IEEE Systems Journal, 14(3): 3117-3128, 2020.
  3. Long Cheng, Boudewijn van Dongen, Wil van der Aalst. Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment. IEEE Transactions on Services Computing, 13(2): 368-380, 2020.
  4. Jinwei Liu, Long Cheng, Hongmei Chi. DeepDive: Examining Determinants of Health Disparities in COVID-19 for Improving Pandemic Health Care. ICVISP 2020: Proc. 4th International Conference on Vision, Image and Signal Processing, Dec 2020.
  5. Yulong Pei, Cong Liu, Chuanyang Zheng, Long Cheng. Nonnegative Residual Matrix Factorization for Community Detection. WISE’20: Proc. 21st International Conference on Web Information Systems Engineering, pp. 196-209, Amsterdam and Leiden, Netherlands, Oct 2020.
  6. Ying Wang, Huawei Li, Long Cheng, Xiaowei Li. A QoS-QoR Aware CNN Accelerator Design Approach. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 38(11): 1995-2007, 2019.
  7. Long Cheng, Spyros Kotoulas, Qingzhi Liu, Ying Wang. Load-balancing Distributed Outer Joins through Operator Decomposition. Journal of Parallel and Distributed Computing, 132: 21-35, 2019.
  8. Wenjia Zheng, Yun Song, Zihao Guo, Yongchen Cui, Suwen Gu, Ying Mao, Long Cheng. Target-based Resource Allocation for Deep Learning Applications in a Multi-tenancy System. HPEC’19: Proc. 23rd IEEE High Performance Extreme Computing Conference, pp. 1-7, Waltham, USA, Sept 2019.
  9. Wenjia Zheng, Michael Tynes, Henry Gorelick, Ying Mao, Long Cheng, Yantian Hou. FlowCon: Elastic Flow Configuration for Containerized Deep Learning Applications. ICPP’19: Proc. 48th International Conference on Parallel Processing, pp. 87:1-87:10, Kyoto, Japan, Aug 2019.
  10. Dawen Xu, Kouzi Xing, Cheng Liu, Ying Wang, Yulin Dai, Long Cheng, Huawei Li, Lei Zhang. Resilient Neural Network Training for Accelerators with Computing Errors. ASAP’19: Proc. 30th IEEE International Conference on Application-specific Systems, Architectures and Processors, pp. 99-102, New York, USA, July 2019.
  11. Long Cheng, Cong Liu, Qingzhi Liu, Yucong Duan, John Murphy. Learning Process Models in IoT Edge. SERVICES’19: Proc. 2019 IEEE World Congress on Services, pp. 146-149, Milan, Italy, July 2019.
  12. Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien. Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing. CCGrid’19: Proc. 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 600-603, Larnaca, Cyprus, May 2019.
  13. Qingzhi Liu, Tanir Ozcelebi, Long Cheng, Fernando Kuipers, Johan Lukkien. CluFlow: Cluster-based Flow Management in Software-Defined Wireless Sensor Networks. WCNC’19: Proc. 2019 IEEE Wireless Communications and Networking Conference, Morocco, April 2019.
  14. Cong Liu, Long Cheng, Qingtian Zeng, Lijie Wen, Chun Ouyang. Petri Net-based Hierarchical Business Process Discovery. CBPM’19: Proc. 9th Chinese Conference on Business Process Management, Guangzhou, China, Aug 2019. (in Chinese)
  15. Long Cheng, Spyros Kotoulas. Efficient Skew Handling for Outer Joins in a Cloud Computing Environment. IEEE Transactions on Cloud Computing, 6(2): 558-571, 2018.
  16. Long Cheng, John Murphy, Qingzhi Liu, Chunliang Hao, Georgios Theodoropoulos. Minimizing Network Traffic for Distributed Joins Using Lightweight Locality-Aware Scheduling. Euro-Par’18: Proc. 24th European Conference on Parallel Processing, pp. 293-305, Turin, Italy, Aug 2018.
  17. Long Cheng, Ilias Tachmazidis, Spyros Kotoulas, Grigoris Antoniou. Design and Evaluation of Small-Large Outer Joins in Cloud Computing Environments. Journal of Parallel and Distributed Computing, 110: 2-15, 2017.
  18. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. Improving the Robustness and Performance of Parallel Joins over Distributed Systems. Journal of Parallel and Distributed Computing, 109: 310-323, 2017.
  19. Long Cheng, Ying Wang, Yulong Pei, Dick Epema. A Coflow-based Co-optimization Framework for High-performance Data Analytics. ICPP’17: Proc. 46th International Conference on Parallel Processing, pp. 392-401, Bristol, UK, Aug 2017.
  20. Alifah Syamsiyah, Alfredo Bolt, Long Cheng, Bart Hompes, R.P. Jagadeesh Chandra Bose, Boudewijn van Dongen and Wil van der Aalst. Business Process Comparison: A Methodology and Case Study. BIS’17: Proc. 20th International Conference on Business Information Systems, pp. 253-267, Poznan, Poland, June 2017.
  21. Long Cheng, Boudewijn van Dongen, Wil van der Aalst. Efficient Event Correlation over Distributed Systems. CCGrid’17: Proc. 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 1-10, Madrid, Spain, May 2017.
  22. Long Cheng. Network-aware Optimization for Query Executions in Large Systems. Abstract in Dutch-Belgian Database Day, Eindhoven, Netherlands, Dec 2017.
  23. Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. Fast Compression of Large Semantic Web Data using X10. IEEE Transactions on Parallel and Distributed Systems, 27(9): 2603-2617, 2016.
  24. Long Cheng, Tao Li. Efficient Data Redistribution to Speedup Big Data Analytics in Large Systems. HiPC’16: Proc. 23rd IEEE International Conference on High Performance Computing, pp. 91-100, Hyderabad, India, Dec 2016.
  25. Long Cheng, Spyros Kotoulas. Efficient Large Outer Joins over MapReduce. Euro-Par’16: Proc. 22nd European Conference on Parallel Processing, pp. 334-346, Grenoble, France, Aug 2016.
  26. Long Cheng, Spyros Kotoulas. Scale-Out Processing of Large RDF Datasets. IEEE Transactions on Big Data, 1(4): 138-150, 2015.
  27. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. High Throughput Indexing for Large-scale Semantic Web Data. SAC’15: Proc. 30th ACM/SIGAPP Symposium On Applied Computing, pp. 416-422, Salamanca, Spain, Apr 2015.
  28. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. Design and Evaluation of Parallel Hashing over Large-scale Data. HiPC’14: Proc. 21st IEEE International Conference on High Performance Computing, pp. 1-10, Goa, India, Dec 2014.
  29. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. Robust and Skew-resistant Parallel Joins in Shared-nothing Systems. CIKM’14: Proc. 23rd ACM International Conference on Information and Knowledge Management, pp. 1399-1408, Shanghai, China, Nov 2014.
  30. Ilias Tachmazidis, Long Cheng, Spyros Kotoulas, Grigoris Antoniou, Tomas Ward. Massively Parallel Reasoning under the Well-Founded Semantics using X10. ICTAI’14: Proc. 26th IEEE International Conference on Tools with Artificial Intelligence, pp. 162-169, Limassol, Cyprus, Nov 2014.
  31. Long Cheng, Yue Ma. Investigating Distributed Approaches to Efficiently Extract Textual Evidences for Biomedical Ontologies. BIBE’14: Proc. 14th IEEE International Conference on BioInformatics and BioEngineering, pp. 220-225, Florida, USA, Nov 2014.
  32. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. A Fully Parallel Framework for Fast Analyzing RDF Data. ISWC’14: Poster & Demo Track of the 13th International Semantic Web Conference, pp. 289-292, Trento, Italy, Oct 2014. (poster)
  33. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. A Two-tier Index Architecture for Fast Processing Large RDF Data over Distributed Memory. HT’14: Proc. 25th ACM International Conference on Hypertext and Social Media, pp. 300-302, Santiago, Chile, Sept 2014. (poster)
  34. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. Robust and Efficient Large-large Table Outer Joins on Distributed Infrastructures. Euro-Par’14: Proc. 20th European Conference on Parallel Processing, pp. 258-269, Porto, Portugal, Aug 2014.
  35. Long Cheng, Avinash Malik, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. Efficient Parallel Dictionary Encoding for RDF Data. WebDB’14: Proc. 17th International Workshop on the Web and Databases (co-located SIGMOD), Snowbird, USA, June 2014.
  36. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. Efficiently Handling Skew in Outer Joins on Distributed Systems. CCGrid’14: Proc. 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 295-304, Chicago, USA, May 2014.
  37. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. A Novel Framework for Handling Skew in Parallel Join Processing on Distributed Memory. HPCC’13: Proc. 15th IEEE International Conference on High Performance Computing and Communications, pp. 1519-1527, Zhangjiajie, China, Nov 2013.
  38. Long Cheng, Spyros Kotoulas, Tomas Ward, Georgios Theodoropoulos. Runtime Characterisation of Triple Stores. CSE’12: Proc. 15th IEEE International Conference on Computational Science and Engineering, pp. 66-73, Paphos, Cyprus, Dec 2012.

PhD Thesis