Huaming Chen

Dr Huaming Chen

Grant-Funded Researcher

School of Computer Science

Faculty of Engineering, Computer and Mathematical Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.

My current research area is on the topic at the intersection of machine learning, software engineering and cyber security. My research interests include applied machine learning, software engineering, computational intelligence and cyber security. One work is identified as the Highly Cited Papers as of March/April 2021.

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  • Journals
    Year Citation
    2021 Chen, H., Li, F., Wang, L., Jin, Y., Chi, C. -H., Kurgan, L., . . . Shen, J. (2021). Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions. Briefings in Bioinformatics, 22(3).
    DOI
    2020 Chen, H., Shen, J., Wang, L., & Chi, C. (2020). APEX2S: A two‐layer machine learning model for discovery of host‐pathogen protein‐protein interactions on cloud‐based multiomics data. Concurrency and Computation: Practice and Experience, 32(23), 1-16.
    DOI Scopus2 WoS1
    2020 Chen, H., Shen, J., Wang, L., & Song, J. (2020). A framework towards data analytics on host–pathogen protein–protein interactions. Journal of Ambient Intelligence and Humanized Computing, 11(11), 4667-4679.
    DOI Scopus1
    2020 Yong, B., Shen, J., Liu, X., Li, F., Chen, H., & Zhou, Q. (2020). An intelligent blockchain-based system for safe vaccine supply and supervision. International Journal of Information Management, 52, 1-12.
    DOI WoS24
    2019 Brown, P., Zhou, Y., Tan, A. C., El-Esawi, M. A., Liehr, T., Blanck, O., . . . Tuttle, N. (2019). Large expert-curated database for benchmarking document similarity detection in biomedical literature search. Database, 2019, 1-67.
    DOI Scopus2 WoS4
    2018 Chen, H., Guo, W., Shen, J., Wang, L., & Song, J. (2018). Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey. IEEE Access, 6, 11760-11771.
    DOI Scopus9 WoS9
    2018 Li, R., Rose, G., Chen, H., & Shen, J. (2018). Effective long-term travel time prediction with fuzzy rules for tollway. Neural Computing and Applications, 30(9), 2921-2933.
    DOI
    2018 Yong, B., Shen, J., Shen, Z., Chen, H., Wang, X., & Zhou, Q. (2018). GVM based intuitive simulation web application for collision detection. Neurocomputing, 279, 63-73.
    DOI WoS2
    2017 Yong, B., Shen, J., Sun, H., Chen, H., & Zhou, Q. (2017). Parallel GPU-based collision detection of irregular vessel wall for massive particles. Cluster Computing, 20(3), 2591-2603.
    DOI
    2017 Yong, B., Zhang, G., Chen, H., & Zhou, Q. (2017). Intelligent monitor system based on cloud and convolutional neural networks. The Journal of Supercomputing, 73(7), 3260-3276.
    DOI WoS5
    2016 Wang, L., Shen, J., Zhou, Q., Shang, Z., Chen, H., & Zhao, H. (2016). An Evaluation of the Dynamics of Diluted Neural Network. International Journal of Computational Intelligence Systems, 9(6), 1191-1199.
    DOI WoS2
    2015 Zhou, R., Chen, X., Chen, H., Yan, F., Chen, C., Yu, Q., . . . Li, K. -C. (2015). RCSoS: An IEC 61508 Compatible Server Model for Reliable Communication. JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 80(3), 323-337.
    DOI WoS1
    — Zhou, Q., Chen, C., Zhang, G., Chen, H., Chen, D., Yan, Y., . . . Zhou, R. (n.d.). Real-Time Management of Groundwater Resources Based on Wireless Sensors Networks. Journal of Sensor and Actuator Networks, 7(1), 4.
    DOI
    — Zhou, Q., Chen, H., Zhao, H., Zhang, G., Yong, J., & Shen, J. (n.d.). A Local Field Correlated and Monte Carlo Based Shallow Neural Network Model for Nonlinear Time Series Prediction. ICST Transactions on Scalable Information Systems, 3(8), 151634.
    DOI

  • Book Chapters
    Year Citation
    2021 Chen, H., Shen, J., Wang, L., & Jin, Y. (2021). Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions. In Advances in Intelligent Systems and Computing (pp. 91-101). Springer International Publishing.
    DOI
    2020 Sun, G., Lin, J., Shen, J., Cui, T., Xu, D., & Chen, H. (2020). Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning. In Intelligent Tutoring Systems (pp. 432-440). Springer International Publishing.
    DOI

  • Conference Papers
    Year Citation
    2020 Li, F., Yang, A., Chen, H., Sun, G., Wang, F., Xie, Y., . . . Shen, J. (2020). Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface Cracks. In 2020 IEEE International Conference on Big Data 2020 (pp. 4627-4635). online: IEEE.
    DOI
    2020 Chen, H., Li, F., Sun, G., Zhang, X., Dong, X., Wang, L., . . . Shen, J. (2020). A service computing framework for proteomics analysis and collaboration of pathogenic mechanism studies. In Proceedxings of the 13th IEEE International Conference on Services Computing (SCC 2020) (pp. 463-465). online: IEEE.
    DOI
    2020 Chen, H., Jin, Y., Wang, L., Chi, C. -H., & Shen, J. (2020). HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. In 2020 IEEE International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). online: IEEE.
    DOI
    2019 Chen, H., Wang, L., Jin, Y., Chi, C. -H., Li, F., Chu, H., & Shen, J. (2019). Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 2197-2204). online: IEEE.
    DOI
    2019 Chen, H., Wang, L., Chi, C. -H., & Shen, J. (2019). Leveraging SMOTE in a Two-Layer Model for Prediction of Protein-Protein Interactions. In 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD) (pp. 133-138). online: IEEE.
    DOI WoS1
    2018 Chen, H., Shen, J., Wang, L., & Chi, C. -H. (2018). Towards Biological Sequence Data Service with Insights. In 2018 IEEE International Conference on Big Data (Big Data) (pp. 2847-2854). online: IEEE.
    DOI WoS1
    2018 Li, F., Wu, J., Dong, F., Lin, J., Sun, G., Chen, H., & Shen, J. (2018). Ensemble Machine Learning Systems for the Estimation of Steel Quality Control. In 2018 IEEE International Conference on Big Data (Big Data) (pp. 2245-2252). online: IEEE.
    DOI WoS3
    2017 Yong, B., Xu, Z., Shen, J., Chen, H., Tian, Y., & Zhou, Q. (2017). Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland. In Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2017 (pp. 1-7). online: ACM.
    DOI
    2017 Chen, H., Shen, J., Wang, L., & Song, J. (2017). Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions. In 2017 IEEE International Congress on Big Data (BigData Congress) (pp. 368-375). online: IEEE.
    DOI WoS7
    2017 Chen, H., Song, J., Sun, G., Shen, J., & Wang, L. (2017). Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey. In 2017 IEEE International Congress on Big Data (BigData Congress) (pp. 177-184). online: IEEE.
    DOI WoS2
    2017 Sun, G., Cui, T., Xu, D., Chen, H., Chen, S., & Shen, J. (2017). Assisting Open Education Resource Providers and Instructors to Deal with Cold Start Problem in Adaptive Micro Learning: A Service Oriented Solution. In 2017 IEEE International Conference on Services Computing (SCC) (pp. 196-203). online: IEEE.
    DOI WoS4
    2017 Chen, H., Shen, J., Wang, L., & Song, J. (2017). Collaborative data analytics towards prediction on pathogen-host protein-protein interactions. In 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 269-274). online: IEEE.
    DOI WoS1
    2016 Chen, H., Shen, J., Wang, L., & Song, J. (2016). Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey. In 2016 IEEE International Congress on Big Data (BigData Congress) (pp. 377-388). online: IEEE.
    DOI WoS8
    2015 Chen, H., Zhao, H., Shen, J., Zhou, R., & Zhou, Q. (2015). Supervised Machine Learning Model for High Dimensional Gene Data in Colon Cancer Detection. In C. Barbara, & L. Khan (Eds.), 2015 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2015 (pp. 134-141). New York, NY: IEEE.
    DOI WoS14
    2013 Chen, H., Sheng, Y., Zhou, R., Zhou, Q., Sun, S., & Hung, J. C. (2013). The Communication Model between Humanoid Robot and Mobile Phone. In 2013 INTERNATIONAL JOINT CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY & UBI-MEDIA COMPUTING (ICAST-UMEDIA) (pp. 697-+). Univ Aizu, Aizuwakamatsu, JAPAN: IEEE.
    DOI
    2013 Hung, J. C., Zhou, R., Hu, J., Chen, H., & Zhou, Q. (2013). Cloud Services Aided e-Tourism: in the Case of Low-Cost Airlines for Backpacking. In 2013 19TH IEEE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2013) (pp. 468-473). Seoul, SOUTH KOREA: IEEE.
    DOI WoS1
    2013 Zhou, R., Chen, H., Liu, Q., Sheng, Y., Zhou, Q., Wang, X., & Li, K. -C. (2013). A Server Model for Reliable Communication on Cell/BE. In 2013 42ND ANNUAL INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING (ICPP) (pp. 1020-1027). Ecole Normale Superieure Lyon, Lyon, FRANCE: IEEE.
    DOI WoS1

2020       IEEE CIS Student Grant for IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI)

2017       Student and Early Career Travel Fellowship for The 16th International Conference on Bioinformatics (InCoB 2017)

2017       Student Travel Award for 2017 IEEE World Congress on Services

2014       Graduate National Scholarship, Ministry of Education, P.R. China

2013       Graduate National Scholarship, Ministry of Education, P.R. China

 

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  • Current Higher Degree by Research Supervision (University of Adelaide)
    Date Role Research Topic Program Degree Type Student Load Student Name
    2021 Co-Supervisor Automated secure code review for software systems Doctor of Philosophy Doctorate Full Time Mr David Hin
    2021 Co-Supervisor Exploring the Potential of Machine Learning Methods for Optimizing Software Delivery in DevOps Architecture Doctor of Philosophy Doctorate Full Time Mr Ali Kazemi Arani
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  • Committee Memberships
    Date Role Committee Institution Country
    2021 - ongoing Member IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING IEEE United States
    2021 - ongoing Member IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES IEEE United States
    2021 - ongoing Member The 25th Pacific Asia Conference on Information Systems Association of Information Systems United States

  • Editorial Boards
    Date Role Editorial Board Name Institution Country
    2021 - ongoing Editor Frontiers in Genetics Frontiers Switzerland

  • Review, Assessment, Editorial and Advice
    Date Title Type Institution Country
    2020 - ongoing Reviewer for IEEE Transactions on Industrial Informatics Journal Review IEEE —
    2020 - ongoing Grant Reviewer for UK Research and Innovation Grant Assessment UK Research and Innovation —
    2020 - ongoing Reviewer for ACM Transactions on Sensor Networks Journal Review ACM —
    2020 - ongoing Reviewer for Briefings in Bioinformatics Journal Review Oxford University Press —
    2019 - ongoing Reviewer for International Journal of Computational Intelligence Systems Journal Review Atlantis Press —
    2018 - ongoing Reviewer for Transportation Research Record Journal Review SAGE —
    2018 - ongoing Reviewer for TRB Annual Meeting Conference Review Transportation Research Board —
    2018 - ongoing Reviewer for IEEE Access Journal Review IEEE —
  • Position: Grant-Funded Researcher
  • Email: huaming.chen@adelaide.edu.au
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor 5
  • Room: 545
  • Org Unit: School of Computer Science
Connect With Me
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