学术职务：

山东大学生活质量与公共政策研究中心专任研究员

山东大学公共治理研究院助理教授

研究方向：

行为科学、社会心理学、人机交互、信息系统

主讲课程：

社会统计学、数字政府、数据可视化与人机交互

学术兼职：

梅西大学硕士生导师

国际注册社会工作者

主持或参与的科研项目：

Social Response to COVID-19 in New Zealand: Obligations and Stigmatization (2020),新西兰健康研究委员会基金。

学术会议报告：

Social Response to COVID-19 in New Zealand: Obligations and Stigmatization, 新西兰：2021年11月。

22nd International Conference on Human-Computer Interaction, 丹麦：2020年7月。

发表论文：

Jia, X., Wang, R., Liu, J. H. & Jiang, C. Discovery of behavioral patterns in online social commerce practice. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2021, e1433.

Jia, X., Pang, Y., & Liu, L. S. Online health information seeking behavior: A systematic review. Healthcare, 2021, 9(12), 1740.

Jia, X., Wang, R., Liu, J. H., & Xie, T. How to attract more viewers in live streams? A functional evaluation of streamers’ strategies for attraction of viewers. In F. F.-H. Nah & K. Siau (Eds.), HCI in Business, Government and Organizations (369–383). Springer, 2020.

Liu, L. S., Ran, G. J., & Jia, X*. New Zealand border restrictions amidst COVID-19 and their impacts on temporary migrant workers. Asian and Pacific Migration Journal, 2022, 31(3): 312-323.

Li, Y., Jia, X., Wang, R., Qi, J., Jin, H., Chu, X., & Mu, W. A new oversampling method and improved radial basis function classifier for customer consumption behavior prediction. Expert Systems with Applications, 2022, 199, 116982.

Liu, L. S., Jia, X. Zhu, A., Ran, G. J., Siegert, R., French, N., & Johnston, D. Stigmatising and racialising COVID-19: Asian people's experience in New Zealand. Journal of Racial and Ethnic Health Disparities, 2022.

Liu, L. S., & Jia, X. Stigmatisation and racial discrimination in the COVID-19 context: Responses from the Asian community in New Zealand. In Narratives of Migrant and Refugee Discrimination in Aotearoa New Zealand. Routledge, 2022. (Accepted)

Wang, R., Hou, F., Cahan, S., Chen, L., Jia, X., & Ji, W. Fine-grained entity typing with a type taxonomy: A systematic review. IEEE Transactions on Knowledge and Data Engineering, 2022.

Qiu, Y., Wang, R., Hou, F., Singh, S., Ma, Z., & Jia, X. Adversarial multi-task learning with inverse mapping for speech enhancement. Applied Soft Computing, 2022, 120, 108568.

Jiang, Q., Zhou, X., Wang, R., Ding, W., Chu, Y., Tang, S., Jia, X., & Xu, X. Intelligent monitoring for infectious diseases with fuzzy systems and edge computing: A survey. Applied Soft Computing, 2022, 123, 108835.

Ji, W., Pang, Y., Jia, X., Wang, Z., Hou, F., Song, B., Liu, M., & Wang, R. Fuzzy rough sets and fuzzy rough neural networks for feature selection: A review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2022, 11, e1402.

Wan, H., Ji, W., Wu, G., Jia, X., Zhan, X., Yuan, M., & Wang, R. A novel webpage layout aesthetic evaluation model for quantifying webpage layout design. Information Sciences, 2021, 576, 589-608.