研究方向：机器学习
肖嘉任博士毕业于香港大学（The University of Hong Kong），其后于香港理工大学电子计算学系（Department of Computing）开展博士后研究。主要研究兴趣为机器学习及其在生物医学方面的应用。肖博士的学术论文可见于数据挖掘方面的知名期刊和会议（如TKDE、KNOSYS、TNSE和The Web Conference等）。联系邮箱为xiaojr@fjmu.edu.cn。
代表性论文如下：
[1] Jiaren Xiao et al., Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy, Neurocomputing, 2024.
[2] Jiaren Xiao et al., Adversarially regularized graph attention networks for inductive learning on partially labeled graphs, Knowledge-Based Systems, 2023.
[3] Jiaren Xiao et al., Domain adaptive graph infomax via conditional adversarial networks, IEEE Transactions on Network Science and Engineering, 2023.
