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School of Engineering, Information Technology and Physical Sciences

Dr Jiangang Ma - Research

Current supervisions

  • PhD Student: Durgesh Samariya (Principal Supervisor)
  • PhD Student: S. Rajin (Associated Supervisor)

Current research projects

Dr. Ma  and his research team has been actively working on the following research projects:

  • Using deep learning methods to predict anomalies for healthcare applications
  • Real-time identifying human activities by using Internet of things
  • Video Coding with deep learning methods
  • Similarity search on big data in cloud
  • Stream data processing and applications

Research publications/conferences

2020

  1. J. Wang, S. Liang, Y.Wang, Y. Zhang, D.He, J.Ma, C. Ruan, Y. Wu, X. Hong. A Weighted Overlook Graph Representation of EEG Data for Absence Epilepsy Detection. The 20th IEEE International Conference on Data Mining(ICDM), Nov 17, 2020 - Nov 20,  Sorrento, Italy, 2020, [CORE A*]
  2. S. Liang, Y. Zhang, J. Ma, Active Model Selection for Positive Unlabeled Time Series Classification. IEEE 36th International Conference on Data Engineering (ICDE), 361-372, April  20th -24th, 2020 - Dallas, Texas, USA [CORE A*]
  3. J. He, J.  Rong, L. Sun, H. Wang, Y. Zhang, J. Ma, A framework for cardiac arrhythmia detection from IoT-based ECGs, In Journal of World Wide Web, 1-16, 2020 [CORE A]
  4. D. Samariya, K. Ting, S. Aryal, J. Ma, A new effective and efficient measure for outlying aspect mining. The 21st International Conference on Web Information Systems Engineering (WISE 2020), Oct 20 - 24 2020, Amsterdam and Netherlands [CORE A]
  5. S. Liang, Y. Zhang, J. Ma, Enhancing Linear Time Complexity Time Series Classification with Hybrid Bag-Of-Pattern. The 25th International Conference on Database Systems for  Advanced Applications(DASFAA 2020), Sep. 24-27, 2020, Jeju, South Korea [ERA A]

2019

  1. C. Ruan, J. Ma, Y. Zhang,  Adversarial Heterogeneous Network Embedding with MetaPath Attention Mechanism, Journal of Computer Science and Technology, 34 (6), 1217-1229, 2019 [ERA B]
  2. S. Liang S,  Y. Zhang, J. Ma, PU-shapelets: Towards pattern-based positive unlabeled classification of time series. 24th International Conference on Database Systems for Advanced Applications( DASFAA 2019),  April 22 - 25, 2019 Chiang Mai, Thailand. [ERA A]
  3. L. Sun, J. He, C. Wang, H. Dong, J. Ma, Y. Zhang, Survey of Cloud SLA Assurance in Pre- interaction and Post-interaction Start Time Phases, Journal of Computers Vol. 30 No. 1, 2019, pp.23- 30
  4. L. Sun, J. He, C. Wang, J. Ma, H. Dong, Y. Zhang (2019),  A Framework for Discovering Variable- Length Motifs in Medical Data Streams, Journal of Computers Vol. 30 No. 1, 2019, pp 105-113
  5. C. Ruan, J. Ma and Y. Zhang , Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019, IJCAI 2019, Macao, China, August 10-16, 2019 [CORE A*]

Selected previously published papers

  1. L. Sun, J. Ma, Y. Zhang. Cloud Service Description Model: An Extension of USDL for Cloud Services. In Journal of IEEE Transactions on Services Computing, IEEE Transactions on Services Computing. Volume: 11, Issue: 2, March-April 1 2018
  2. C. Ruan, Y. Wang, Y. Zhang, J. Ma. THCluster: Herb supplements categorization for precision traditional Chinese medicine. In the proceedings of 2017 IEEE International Conference on Bioinformatics and Biomedicine( BIBM 2017), Kansas City, MO, USA, November      13-16, 2017
  3. L. Sun, J. Ma, H. Dong. Deep Learning based Anomaly Prediction in Sensor Data Streams. In the proceedings of the Second International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA 2017), 12-14 December 2017, Hualien, Taiwan, 2017
  4. C. Wang, L. Sun, H. Dong, J. Ma and Y. Zhang. User-oriented Cloud SLA Assurance Framework. In the proceedings of the  Second International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA 2017), 12-14 December 2017, Hualien, Taiwan, 2017
  5. L. Sun, H. Dong, J. Ma, C. Wang and Y. Zhang, Survey of Cloud SLA Assurance in Pre-interaction and Post-interaction Start  Time Phases. In the proceedings of the Second International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA 2017), 12-14 December 2017, Hualien, Taiwan, 2017
  6. L. Sun, J. Ma, H. Dong and Y. Zhang. A Framework for Discovering Variable-length Motifs in Medical Data Streams. In the proceedings of the Second International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA 2017), 12-14 December 2017, Hualien, Taiwan, 2017
  7. J. Ma, L. Sun, Y. Zhang. Supervised Anomaly Detection in Uncertain Sensor Data  Streams. In Journal of  ACM Transactions on Internet Technology(TOIT), July, 2015 ACM Transactions on Internet Technology (TOIT), Volume 16, Issue 1, Page 1 -20, 2016
  8. S. Subramani, H. Wang, S. Balasubramaniam, R. Zhou, J. Ma. Mining Actionable Knowledge using Reordering based Diversified Actionable Decision Trees. In the proceedings of 17th International Conference on Web Information Systems Engineering (WISE 2016)
  9. L. Sun, J. Ma, Y. Zhang. Exploring Data Mining Techniques in Medical Data Streams. In the proceedings of the 27th Australasian Database Conference (ADC) Sept 28 - 29, 2016, Sydney, Australia, 2016.
  10. L.  Sun, J. Ma, Y. Zhang. Cloud-FuSeR: Fuzzy-ontology-driven Cloud Service Selection. In Journal of Future Generation of Computer Systems. Volume 57: Pages: 42-55 (2016)
  11. J. Ma, Q. Sheng, D. Ranasinghe, J. Chuah. Efficiently Managing Uncertain Data in RFID Sensor Networks. In Journal of World Wide Web Journal , Volume 18, Number 4, Page 819-844 , 2015
  12. J. Ma, Q. Sheng, L. Yao, Y. Xu : Keyword Search over Web Documents Based on Earth Mover's Distance. In the proceedings of the 15the international  Conference on Web Information Systems Engineering (WISE  2014), Thessaloniki, Greece, 12-14, October 2014
  13. A.  Ngu, J. Ma : ServiceXplorer: a similarity-based web service  search engine. In the proceedings  of The 37th International ACM SIGIR Conference on Research and Development in Information  Retrieval,   Gold Coast , QLD,  Australia, July 06 - 11, 2014
  14. L. Sun, J. Ma, Y. Zhang: Multicriteria decision making with fuzziness an criteria interdependence in cloud service selection. In the proceedings of The IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014, Beijing, China, July 6-11, 2014.
  15. L.Sun, J. Ma, Y. Zhang. A Hybrid Fuzzy Framework for Cloud Servic Selection. In the proceedings of The 21th IEEE International Conference on Web Services, Alaska, USA, June  27 -  July 2, 2014,
  16. J. Reps, J. Ma, and Y. Zhang.   Refining adverse drug reactions using association rule mining for electronic healthcare data. In the proceedings of The IEEE ICDM  2014 Workshop on Data Mining in Biomedical Informatics and Healthcare(DMBIH), Shenzhen, China, December 14, 2014.
  17. Q.  Sheng, J. Ma: User-centric ambient information systems and applications. Personal and Ubiquitous Computing 18(4):  (2014)
  18. Q. Sheng, J. Ma: Advances in ambient intelligence technologies. Ambient Intelligence and Humanized Computing 5(3): (2014)
  19. D. Xie, Q. Sheng  and J. Ma. A Framework for Processing Uncertain RFID   Data in Supply        Chain Management.  Accepted by The 14th  International Conference on Web  Information Systems Engineering (WISE 2013). October 13-15, 2013, Nanjing, China, 2013
  20. J. Ma, Q. Sheng, K. Liao, Y. Zhang, and A.  Ngu. WS-Finder: A Framework for Similarity Search of Web Services. In the proceedings of The 10th International Conference on Service  Oriented Computing (ICSOC 2012) Shanghai, China, November 12-16, 2012.
  21. J. Ma, Q. Sheng, D. Ranasinghe, J. Chuah,. A Framework for Distributed Managing Uncertain Data in RFID Traceability Networks. In the proceedings of  The 13th International Conference on Web Information Systems Engineering (WISE 2012) Paphos, Cyprus, November 28-30, 2012.
  22. Y. Wu, Q.  Sheng, R. Zeng, and J. Ma. Modeling Sovereign RFID Data Streams in Collaborative Traceable Networks. In the proceedings of the 13the  International Conference on Web Information Systems Engineering (WISE 2012) Paphos,  Cyprus,  November 28-30, 2012.
  23. D. Xie, Q. Sheng, J. Ma. A Temporal-based Model of Uncertain RFID Data. In the proceedings of The 7th International Conference on Computer Science &  Education (ICCSE 2012) July 14- 17, 2012.
  24. J. Ma and Y. Zhang. Efficiently Supporting Secure and Reliable Collaboration in Scientific Workflows. In Journal of Computer and System Sciences (JCSS). Volume 76, Issue 6, Pages 475–489, September 2010.
  25. J. Ma and Y. Zhang.  Web Services Discovery based on Latent Semantic Approach. In the proceedings of The IEEE International conference on web services (ICWS2008).  September 23-26,  2008,
  26. J. Ma and Y. Zhang. Efficiently Finding Web Services Using a Clustering Semantic Approach.  In the proceedings of the 2008 International Workshop on Context Enabled Source and Service Selection  Integration and Adaptation: organized with the 17th International World Wide Web Conference (WWW 2008), CSSSIA 2008, Beijing, China, April 22, 2008.
  27. Y. Zhang and J. Ma. Discovering Web Services based on robabilistic Latent Factor Model. In the proceedings of  the 9th Asia-Pacific Web Conference and the 8th International Conference on Web-Age Information Management, China, June16-18, 2007.
  28. J. Ma and Y. Zhang. A Probabilistic Semantic Approach for Discovering Web Services. In the proceedings of 16th International World Wide Web  Conference (WWW 2007) Banff, Canada, May   8 -12, 2007.
  29. J. Ma, Y. Zhang and M. Li. OMWSC-An Ontology-Based Model for Web Services Composition. In the Proceedings of Fifth International Conference on Quality Software (QSIC 2005). Australia  2005.
  30. G. Xu, Y. Zhang, J. Ma and X. Zhou. Discovering User Access Pattern Based On Probabilistic Latest Factor Model. In the Proceedings of the Sixteenth Australasian Database Conference, Australia, 2005.

Potential honours and PhD projects

If you are interested in the following projects, please contact me. Please briefly introduce your education background, your research experience and strengths, and explain why you want to do the projects.

  • Using deep learning methods to predict anomalies for healthcare applications
  • Real-time identifying human activities by using Internet of things
  • Similarity search on big data in cloud
  • Stream data processing and applications