Huaming Chen

“Dada” of Chen, a researcher, a developer & a basketballer

About Me

Greetings!

My name is Huaming Chen. I am currently a researcher under the supervision of Prof. M. Ali Babar in Centre for Research on Engineering Software Technologies, School of Computer Science in University of Adelaide. I received my Ph.D degree from School of Computing and Information Technology in University of Wollongong, Australia. I received my Master and Bachelor degrees from DSLab and Honors Class at Lanzhou University.


“Study without desire spoils the memory, and it retains nothing that it takes in.” – Leonardo da Vinci

Publication

Referred Publications

[37] Chen, H., Li, F., Sun, G., Zhang, X., Dong, X., Wang, L., Liao, K., Shen, H. and Shen, J., 2020, “A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies”, IEEE International Conference On Services Computing 2020 (CORE A)

[36] Chen, H., Shen J., Wang L. and Jin Y., 2021, “Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions” In: Panuccio G., Rocha M., Fdez-Riverola F., Mohamad M., Casado-Vara R. (eds) Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020). PACBB 2020. Advances in Intelligent Systems and Computing, vol 1240. Springer, Cham.

[35] Chen, H., Li, F., Wang, L., Jin, Y., Chi, H., Kurgan, L., Song, J. and Shen, J., 2020, “Systematic Evaluation of machine learning methods for identifying human-pathogen protein-protein Interactions”, Briefings in Bioinformatics, doi: 10.1093/bib/bbaa068 (IF: 8.99, Rank #1)

[34] Chen, H., Jin, Y., Wang, L., Chi, H. and Shen, J., 2020, “HIME: Mining and Ensembling Heterogeneous Inforamtion for Protein-Protein Interactions Prediction”, The 2020 International Joint Conference on Neural Networks, 2020, pp. 1–8 (CORE A)

[33] Li, F., Yang, A., Chen, H., Sun, G., Wang, F., Xie, Y., Li, J., Shen, J., 2020, “Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface Cracks”, Proceedings of IEEE International Conference on Big Data, 2020, pp. 1–9 (H5-index: 41)

[32] Chen, H., Shen, J., Wang, L. and Chi, H., 2020, “APEX2S: A Two-Layer Machine Learning Model for Discovery of Host-pathogen Protein-protein Interactions on Cloud-based Multi-Omics Data”, Concurrency and Computation: Practice and Experience, doi: 10.1002/cpe.5846 (CORE A)

[31] Sun, G., Lin, J., Shen, J., Cui, T., Xu, D. and Chen, H., 2020, “Evolutionary Learner Profile Optimization using Rare and Negative Association Rules for Micro Open Learning”, 16th International Conference on Intelligent Tutoring Systems 2020, pp. 1–8 (CORE A)

[30] Chen, H., Shen, J., Wang, L. and Song, J., 2020, “A Framework towards Data Analytics on Host-Pathogen Protein-Protein Interactions”, Journal of Ambient Intelligence and Humanized Computing, pp. 1-13. (IF: 4.594, Q1)

[29] Yong, B., Xu, Z., Shen, J., Chen, H., Wu, J., Li, F., and Zhou, Q., 2020. “A novel Monte Carlo-based neural network model for electricity load forecasting”. International Journal of Embedded Systems, 12(4), 522-533.

[28] Chen, H., Wang, L., Chi, H. and Shen, J., 2019, “Leveraging SMOTE in A Two-Layer Model for Prediction of Protein-Protein Interactions”, The Seventh Intrnational Conference on Advanced Cloud and Big Data, 2019, pp. 133-138

[27] Yong, B., Shen, J., Liu, X., Li, F., Chen, H. and Zhou, Q., 2019, “An intelligent blockchain-based system for safe vaccine supply and supervision”, International Journal of Information Management, 102024. (IF: 8.210, Q1)

[26] Brown, P., RELISH Consortium and Zhou, Y., 2019, “Large expert-curated database for benchmarking document similarity detection in biomedical literature search”. Database, 2019. (IF: 2.593, Q1)

[25] Chen, H., Wang, L., Jin, Y., Chi, C., Li, F., Chu, H. and Shen, J., 2019, “Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions”, Proceedings of IEEE International Conference on Big Data, 2019, pp. 1-8

[24] Li, F., Wu, J., Dong, F., Lin, J., Sun, G., Chen, H. and Shen, J., 2018, “Ensemble Machine Learning Systems for the Estimation of Steel Quality Control”, Proceedings of IEEE International Conference on Big Data, 2018, pp.2245–2252

[23] Chen, H., Shen, J., Wang, L. Song, J. and Chi, H., 2018, “Towards Biological Sequence Data Service with Insights”, Proceedings of IEEE International Conference on Big Data, 2018, pp. 2847–2854

[22] Li, R., Rose, G., Chen, H. and Shen, J., 2018. “Effective long-term travel time prediction with fuzzy rules for tollway”. Neural Computing and Applications, 30(9), 2921-2933. (IF: 4.774, Q1, CORE B)

[21] Zhou, Q., Chen, C., Zhang, G., Chen, H., Chen, D., Yan, Y., Shen, J. and Zhou, R., 2018, “Real-time Management of groundwater resource based on wireless sensor networks”, Journal of Sensor and Actuator Networks, 4(1): 1-11

[20] Yong, B., Shen, J., Shen, Z., Chen, H., Wang, X. and Zhou, Q., 2018. “GVM based intuitive simulation web application for collision detection”. Neurocomputing, 279, pp.63-73. (IF: 4.438, Q1, CORE B)

[19] Chen, H., Guo, W., Shen, J., Wang, L. and Song, J., 2018, “Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey”, IEEE Access, 6, pp.11760-11771. (IF: 3.745, Q1)

[18] Chen, H., Song, J., Shen, J. and Wang, L., 2018. “Big data in genomics”. In Big Data Management and Processing (pp. 363-384). Chapman and Hall/CRC.

[17] Yong, B., Shen, J., Sun, H., Chen, H. and Zhou, Q., 2017. “Parallel GPU-based collision detection of irregular vessel wall for massive particles”. Cluster Computing, 20(3), pp.2591-2603. (IF: 3.458)

[16] Yong, B., Zhang, G., Chen, H. and Zhou, Q., 2017. “Intelligent monitor system based on cloud and convolutional neural networks”. The Journal of Supercomputing, 73(7), pp.3260-3276. (IF: 2.469)

[15] Chen, H., Shen, J., Wang, L. and Song, J., 2017. “Leveraging Stacked Denoising Autoencoder for prediction of PHPPI”, IEEE International Congress on Big Data, pp. 368-375.

[14] Chen, H., Song, J., Sun, G., Shen, J. and Wang, L., 2017. “Towards Elucidating the Structural Principles of Host-Pathogen Protein- Protein Interaction Networks: A bioinformatics survey”, IEEE International Congress on Big Data, pp. 177-184.

[13] Sun, G., Cui, T., Xu, D., Chen, H., Chen, S. and Shen, J., 2017, “Assisting Open Education Resource Providers and Instructors to Deal With Cold Start Problem in Adaptive Micro Learning: a Service Oriented Solution”, 14th IEEE International Conference on Services Computing, pp. 196-203.

[12] Granted Patent (China) : “Line-tracking navigation method and device for intelligent robot”. Application Number: 201310623873.3, issued in 2017.05.

[11] Chen, H., Shen, J., Wang, L. and 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). IEEE.

[10] Yong, B., Xu, Z., Shen, J., Chen, H., Tian, Y. and 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, pp. 1-7.

[9] Chen, H., Zhao, H., Wang, L., Song, J. and Shen, J., 2017. “A Comparison Study for Supervised Machine Learning Models in Cancer Classification”. 16th International Conference on Bioinformatics (InCoB 2017), pp. 1-2.

[8] Wang, L., Shen, J., Zhou, Q., Shang, Z., Chen, H. and Zhao, H., 2016. “An evaluation of the dynamics of diluted neural network”. International Journal of Computational Intelligence Systems, 9(6), pp.1191-1199. (IF: 1.838)

[7] Chen, H., Shen, J., Wang, L. and Song, J., 2016. “Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A survey”. IEEE International Congress on Big Data, pp. 377-388

[6] Zhou, Q., Chen, H., Zhao, H., Zhang, G., Yong, J. and Shen, J., 2016. “A local field correlated and Monte Carlo based shallow neural network model for non-linear time series prediction”. EAI Endorsed Transactions on Scalable Information Systems, 16(8), pp. 1-7.

[5] Chen, H., Zhao, H., Shen, J., Zhou, R. and Zhou, Q., 2015, “Supervised machine learning model for high dimensional gene data in colon cancer detection”. IEEE International Congress on Big Data, pp. 134-141.

[4] Zhou, R., Chen, X., Chen, H., Yan, F., Chen, C., Yu, Q., Zhou, Q. and Li, K.C., 2015. “RCSoS: An IEC 61508 Compatible Server Model for Reliable Communication”. Journal of Signal Processing Systems, 80(3), pp. 323-337.

[3] Zhou, R., Chen, H., Liu, Q., Sheng, Y., Zhou, Q., Wang, X. and Li, K.C., 2013. “A server model for reliable communication on cell/BE”. In 2013 42nd International Conference on Parallel Processing (pp. 1020-1027). IEEE.

[2] Hung, J.C., Zhou, R., Hu, J., Chen, H., Zhou, Q., Qi, J. and Yang, L., 2013. “Cloud services aided e-tourism: In the case of low-cost airlines for backpacking”. In 2013 International Conference on Parallel and Distributed Systems (pp. 468-473). IEEE.

[1] Chen, H., Sheng, Y., Zhou, R., Zhou, Q., Sun, S. and 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 2013 & UMEDIA 2013) (pp. 697-701). IEEE.

Projects

Continuing Blog Updating (Self-organized)

UGPN (The University Global Partnership Network)

Chief Investigator: Prof. Yaochu Jin from University of Surrey, A/Prof. Jun Shen from University of Wollongong

Tackling e-Learning and Bioinformatics Applications with Surrogate-Assisted Evolutionary Computation

Faculty Strategic Investments Grant

Chief Investigator: A/Prof. Lei Wang and A/Prof. Jun Shen from University of Wollongong

Cost-effective PHPPI prediction

Earlier Projects

Chief Investigator: Prof. Qingguo Zhou, Prof. Nicholas Mc. Guire and A/Prof. Rui Zhou from Lanzhou University

‘The LOW-LEVEL Development Guide on Android’ (One book published)

‘The Design of Robotic Navigation based on Android Smartphone’ (One granted patent)

‘Training and Development of Real Time Linux Kernel’

Presentation

The Seventh International Conference on Advanced Cloud and Big Data

Sep, 22, 2019

Topic: Leveraging SMOTE in A Two-Layer Model for Prediction of Protein-Protein Interactions

IEEE NSW and Centre for IT-enabled Transformation (CITT) Joint Seminar.

April 26, 2018

Topic: The Study between Host and Pathogen Interactions

Abstract: The rapid development of high throughput technologies has presented us an opportunity in mining and uncovering the relationships of the biological data. Specifically, the accumulated omics data expose a fundamental scenario for researchers with interest. In this study, we will discuss the topic on drilling computational methodologies to the proteomics study, specifically concerning the interactions between host and pathogens.

Workshop on bioinformatics at UOW.

April 26, 2018

Topic: Current bioinformatics work at UOW

16th International Conference on Bioinformatics (InCoB 2017)

Sep, 2017

Selected as oral presentations

Topic: A Comparison Study for Supervised Machine Learning Models in Cancer Classification

IEEE World Congress on Services 2017, Hawaii, USA

June, 2017

Selected as oral presentations

Topic: Leveraging Stacked Denoising Autoencoder for prediction of PHPPI

IEEE World Congress on Services 2017, Hawaii, USA

June, 2017

Selected as oral presentations

Topic: Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A bioinformatics survey

Experience

Teaching Services

School of Computing and Information Technology (SCIT) && School of Mathematics and Applied Statistics (SMAS) at University of Wollongong, Australia

SCIT Subject ‘Systems Development Methodologies’ - Autumn, 2020

SCIT Subject ‘Principles of eBusiness’ - Spring, 2019

SCIT Subject ‘Systems Development Methodologies’ - Autumn, 2019

SCIT Subject ‘Principles of eBusiness’ - Spring, 2018

SCIT Subject ‘Management Information Systems’ - Spring, 2018

SCIT Subject ‘Information Systems Strategic Planning’ - Autumn, 2018

SCIT Subject ‘Systems Development Methodologies’ - Autumn, 2018

SCIT Subject ‘Principles of eBusiness’ - Spring, 2017

SCIT Subject ‘Management Information Systems’ - Spring, 2017

SMAS Subject ‘Data Mining and Knowledge Discovery’ - Autumn, 2017

SCIT Subject ‘eBusiness Technologies’ - Autumn, 2017

SCIT Subject ‘Information Systems Strategic Planning’ - Autumn, 2017

SCIT Subject ‘System Integration’ - Spring, 2016

Teaching Services

Lanzhou University, China

Teaching Assistant for subject ’Digital Circuits’ - 2013

Vice Supervisor for the Top Class of Electronic Information and Technology Class - 2010–2011

Awards

Travel Awards

IEEE CIS Student Grant - WCCI 2020

Student and Early Career Travel Fellowship for 16th InCoB Sep 2017

Student Travel Award for IEEE 2017 ICWS/CLOUD/BigDataCongress/SCC Jun 2017

Student Awards

2013-2014, Graduate National Scholarship, Ministry of Education, P.R. China

2012-2013, Graduate National Scholarship, Ministry of Education, P.R. China

2012-2013, Merit Graduate Student, Lanzhou University

2012-2013, 2013-2014, 2014-2015 First Class Academic Scholarship, Lanzhou University 2012, The Encourage Award for Northwest Area of 2012 China Android Application Development Contest

2008-2009, 2009-2010, 2010-2011 Outstanding University Students Scholarship, Lanzhou University

2010-2011 Outstanding Stylistic Scholarship, Lanzhou University

2009-2010 Outstanding Student Union Cadre, Lanzhou University

2008-2009 Outstanding League Member, Lanzhou University

2008-2009 Outstanding Student Cadre, Lanzhou University