Journals

  1. C. Liu, L. Cheng, Q. Zeng, L. Wen. Formal Modeling and Discovery of Hierarchical Business Processes: A Petri Net based Approach. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2020 (minor revision).

  2. Q. Liu, L. Cheng (CA), A. Jia, C. Liu. Deep Reinforcement Learning for Communication Flow Control in Wireless Mesh Networks. IEEE Network Magazine, 2020 (minor revision).

  3. 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, 2020 (in press).

  4. 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, 2020 (in press).

  5. 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, 2020 (in press).

  6. Cong Liu, Qingtian Zeng, Long Cheng (CA), 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, 2020 (in press).

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

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

Proceedings

  1. 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, Amsterdam and Leiden, Netherlands, Oct 2020.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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)

  20. 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)

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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