Journals

  1. 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.

  2. Jingwei Zhang, Long Cheng (CA), 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

  3. 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

  4. 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

  5. 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

  6. Baoyin Xiong, Yiguo Guo, Liyang Zhang, Jianbin Li, Xiufeng Liu, Long Cheng (CA). Optimizing Electricity Demand Scheduling in Microgrids Using Deep Reinforcement Learning for Cost-Efficiency, IET Generation, Transmission & Distribution, 2023

  7. 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

  8. 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

  9. Zhiqiang Chen, Jianbin Li, Long Cheng, Xiufeng Liu. Federated-WDCGAN: A Federated Smart Meter Data Sharing Framework for Privacy Preservation. Applied Energy, 2023

  10. Jianbin Li, Xin Tong, Jinwei Liu, and Long Cheng (CA). An efficient Federated Learning System for Network Intrusion Detection. IEEE Systems Journal, 2023

  11. 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

  12. 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

  13. 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

  14. 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

  15. Jianbin Li, Shike Li, Long Cheng (CA), Qingzhi Liu, Jiaming Pei, Shen Wang. BSAS: A Blockchain-based Trustworthy and Privacy-Preserving Speed Advisory System. IEEE Transactions on Vehicular Technology, 2022

  16. Jianbin Li, Zhiqiang Chen, Long Cheng (CA), Xiufeng Liu. Energy Data Generation with Wasserstein Deep Convolutional Generative Adversarial Networks. Energy, 257: 124694, 2022 (ESI Highly Cited Paper).

  17. 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

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. Jingchen Yan, Yifeng Huang, Aditya Gupta, Anubhav Gupta, Cong Liu, Jianbin Li, Long Cheng (CA). Energy-aware Systems for Real-time Job Scheduling in Cloud Data Centers: A Deep Reinforcement Learning Approach. Computers and Electrical Engineering, 99: 107688, 2022.

  23. Qingzhi Liu, Tiancong Xia, Long Cheng (CA), 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.

  24. Yifeng Huang, Long Cheng (CA), 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.

  25. 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.

  26. Feng Cheng, Yifeng Huang, Bhavana Tanpure, Pawan Sawalani, Long Cheng (CA), Cong Liu. Cost-Aware Job Scheduling for Cloud Instances using Deep Reinforcement Learning. Cluster Computing, 25(1): 619-631, 2022.

  27. 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.

  28. 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.

  29. Mingming Liu, Long Cheng (CA), 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.

  30. Cong Liu, Qingtian Zeng, Long Cheng (CA), Hua Duan, Jiujun Cheng. Measuring Similarity for Data-aware Business Processes. IEEE Transactions on Automation Science and Engineering, 19(2): 1070-1082, 2022.

  31. Qingzhi Liu, Long Cheng (CA), Adele Jia, Cong Liu. Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. IEEE Network, 35(2): 112-119, 2021 (ESI Highly Cited Paper).

  32. 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.

  33. 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.

  34. 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.

  35. 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 (ESI Highly Cited Paper).

  36. 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.

  37. 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.

  38. 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.

  39. 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.

  40. Xuan Chen, Long Cheng (CA), 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.

  41. 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.

  42. 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.

  43. 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.

  44. 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.

  45. 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.

  46. 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.

  47. 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.

  48. Long Cheng, Spyros Kotoulas. Scale-Out Processing of Large RDF Datasets. IEEE Transactions on Big Data, 1(4): 138-150, 2015.

Proceedings

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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).

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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)

  34. 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)

  35. 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.

  36. 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.

  37. 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.

  38. 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.

  39. 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.

Others

  1. Long Cheng. Network-aware Optimization for Query Executions in Large Systems. Abstract in Dutch-Belgian Database Day, Eindhoven, Netherlands, Dec 2017.

  2. 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)

PhD Thesis