Collaboration with Shanghai Jiaotong University and other partners to build a Research Network for Big Data Analytics

Project Member(s): Cao, L., Zhang, J., Xu, G.

Funding or Partner Organisation: Department of Innovation, Industry, Science and Research (Previously known as DEST) (Australia-China Science and Research Fund)

Start year: 2013

Summary: This group mission will enable the establishment of a long-term, cross-university international research network for big data analytics and data science with key researchers at the Advanced Analytics Institute (AAI) at UTS and with the leading researchers and their research teams from several top universities distributed in different regions and areas in China. The group mission will address the fundamental learning problems in big data analytics, collaborate on the algorithmic breakthrough, and promote practical advances of big data and data sciences by establishing an inter-disciplinary and cross-university research network. The group mission will facilitate the knowledge exchange of researchers from AAI and envisage long-term strategic collaborations in research, education and development of big data and data sciences between Australia and China.

Publications:

Zuo, Y, Wu, Q, Zhang, J & An, P 2018, 'Explicit Edge Inconsistency Evaluation Model for Color-Guided Depth Map Enhancement', IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 2, pp. 439-453.
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Edwards, D, Cheng, M, Wong, IA, Zhang, J & Wu, Q 2017, 'Ambassadors of knowledge sharing', International Journal of Contemporary Hospitality Management, vol. 29, no. 2, pp. 690-708.
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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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Wang, Y, Zhang, J, Liu, Z, Wu, Q, Chou, PA, Zhang, Z & Jia, Y 2016, 'Handling Occlusion and Large Displacement Through Improved RGB-D Scene Flow Estimation', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 7, pp. 1265-1278.
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Xu, G, Fu, B & Gu, Y 2016, 'Point-of-Interest Recommendations via a Supervised Random Walk Algorithm', IEEE Intelligent Systems, vol. 31, no. 1, pp. 15-23.
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Wu, S, Jing, X-Y, Yue, D, Zhang, J, Yang, KJ & Yang, J 1970, 'Unsupervised visual domain adaptation via dictionary evolution', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, Washington, United States, pp. 1-6.
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Yao, Y, Zhang, J, Shen, F, Hua, X, Xu, J & Tang, Z 1970, 'Automatic image dataset construction with multiple textual metadata', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, Washington, USA, pp. 1-6.
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Zhou, T, Lu, Y, Di, H & Zhang, J 1970, 'Video object segmentation aggregation', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, pp. 1-6.
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Keywords: big data analytics, research network, collaboration with Chinese universities

FOR Codes: Data Format, Information Processing Services (incl. Data Entry and Capture), Pattern Recognition and Data Mining, Theory of computation, Neural networks, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.