Huaming Chen

[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.

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