Postdoctoral Research Fellow
Overview
Qualifications
- Doctor of Philosophy of Computer Science, The University of Queensland
Publications
-
Book Chapter: Balanced and explainable social media analysis for public health with large language models
Jiang, Yan, Qiu, Ruihong, Zhang, Yi and Zhang, Peng-Fei (2024). Balanced and explainable social media analysis for public health with large language models. Databases Theory and Applications: 34th Australasian Database Conference, ADC 2023 Melbourne, VIC, Australia, November 1–3, 2023 Proceedings. (pp. 73-86) edited by Zhifeng Bao, Renata Borovica-Gajic, Ruihong Qiu, Farhana Choudhury and Zhengyi Yang. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-47843-7_6
-
Conference Publication: Discovering domain disentanglement for generalized multi-source domain adaptation
Wang, Zixin, Luo, Yadan, Zhang, Peng-Fei, Wang, Sen and Huang, Zi (2022). Discovering domain disentanglement for generalized multi-source domain adaptation. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/icme52920.2022.9859733
Publications
Book Chapter
-
Jiang, Yan, Qiu, Ruihong, Zhang, Yi and Zhang, Peng-Fei (2024). Balanced and explainable social media analysis for public health with large language models. Databases Theory and Applications: 34th Australasian Database Conference, ADC 2023 Melbourne, VIC, Australia, November 1–3, 2023 Proceedings. (pp. 73-86) edited by Zhifeng Bao, Renata Borovica-Gajic, Ruihong Qiu, Farhana Choudhury and Zhengyi Yang. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-47843-7_6
Conference Publication
-
Discovering domain disentanglement for generalized multi-source domain adaptation
Wang, Zixin, Luo, Yadan, Zhang, Peng-Fei, Wang, Sen and Huang, Zi (2022). Discovering domain disentanglement for generalized multi-source domain adaptation. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/icme52920.2022.9859733
