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RMCRC-UTS Scholarships - Big Data Analytics for Condition Based Monitoring and Maintenance

Project Member(s): Zhang, J., Wu, Q., Xu, J.

Funding or Partner Organisation: Rail Manufacturing Cooperative Research Centre (RMCRC) (Railway Manufacturing Cooperative Research Centre Ltd)
Rail Manufacturing Cooperative Research Centre (RMCRC) (Railway Manufacturing Cooperative Research Centre Ltd)

Start year: 2017

Publications:

Li, Z, Zhang, J, Gong, Y, Yao, Y & Wu, Q 1970, 'Field-wise learning for multi-field categorical data', Advances in Neural Information Processing Systems.

Li, Z, Zhang, J, Wu, Q, Gong, Y, Yi, J & Kirsch, C 1970, 'Sample Adaptive Multiple Kernel Learning for Failure Prediction of Railway Points', Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, Anchorage AK USA, pp. 2848-2856.
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Huang, H, Xu, J, Zhang, J, Wu, Q & Kirsch, C 1970, 'Railway Infrastructure Defects Recognition using Fine-grained Deep Convolutional Neural Networks', 2018 Digital Image Computing: Techniques and Applications (DICTA), 2018 Digital Image Computing: Techniques and Applications (DICTA), IEEE, Canberra, Australia.
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Li, Z, Zhang, J, Wu, Q & Kirsch, C 1970, 'Field-Regularised Factorization Machines for Mining the Maintenance Logs of Equipment', AI 2018: AI 2018: Advances in Artificial Intelligence 31st Australasian Joint Conference Wellington, New Zealand, December 11–14, 2018 Proceedings (LNAI 11320), Australasian Joint Conference on Artificial Intelligence, Springer International Publishing, New Zealand, pp. 172-183.
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Guo, D, Xu, J, Zhang, J, Xu, M, Cui, Y & He, X 2017, 'User relationship strength modeling for friend recommendation on Instagram', Neurocomputing, vol. 239, pp. 9-18.
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Zhao, Y, Di, H, Zhang, J, Lu, Y, Lv, F & Li, Y 2017, 'Region-based Mixture Models for human action recognition in low-resolution videos', Neurocomputing, vol. 247, pp. 1-15.
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Zhang, W, Du, T & Wang, J 2016, 'Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction'.

FOR Codes: Pattern Recognition and Data Mining, Information Processing Services (incl. Data Entry and Capture), Data engineering and data science