Dr Lu Zhang

Postdoctoral Research Fellow

Queensland Brain Institute


Lu Zhang is currently a Postdoctoral Research Fellow in School of ITEE & Queensland Brain Institute, The University of Queensland. She received her M.E. degree from Chinese Academy of Sciences, and her PhD from Faculty of Engineering and Information Technology, University of Technology Sydney in 2016 and 2021 respectively. Her research interests mainly include machine learning from multimodal data, by leveraging field-wise learning, transformer, graph neural networks, and neural autoregressive topic models to empower the applications in disease recovery analysis and social network content understanding.


  • Doctor of Philosophy, University of Technology Sydney


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Journal Article

Conference Publication

  • Huang, Jin, Zhang, Lu, Gong, Yongshun, Zhang, Jian, Nie, Xiushan and Yin, Yilong (2022). Series photo selection via multi-view graph learning. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICME52920.2022.9859645

  • Zhang, Lu, Zhang, Jian, Shen, Jialie, Xu, Jingsong, Li, Zhibin and Yu, Litao (2021). Incorporating multimodal cues for advertorial discovery. IEEE International Conference on Multimedia and Expo (ICME), Shenzhen, China, 5-9 July 2021. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/icme51207.2021.9428070

  • Zhang, Lu, Zhang, Jian, Li, Zhibin and Xu, Jingsong (2020). Towards better graph representation: two-branch collaborative graph neural networks for multimodal marketing intention detection. IEEE International Conference on Multimedia and Expo (ICME), London, United Kingdom, 6-10 July 2020. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICME46284.2020.9102918

  • Zhang, Lu, Xu, Jingsong, Zhang, Jian and Gong, Yongshun (2018). Information enhancement for travelogues via a hybrid clustering model. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Canberra, Australia, 10-13 December 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/DICTA.2018.8615849