Journals

  1. 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, 2019 (in press).

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

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

Proceedings

  1. 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, Waltham, USA, Sept 2019.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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)

  19. 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)

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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