我中心三篇论文被数据挖掘领域高水平学术会议SDM’23录用

SIAM International Conference on Data Mining (SIAM-SDM’23)是数据挖掘领域高水平学术会议，是中国计算机学会CCF推荐的国际学术刊物B类会议。近日，我中心大数据部题为Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents、NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis、Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations三篇论文被SIAM-SDM’23全文录用。上述论文的第一作者分别是我中心博士研究生肖濛、硕士研究生叶旭、副研究员王鹏飞。

相关成果：

[1] Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou*, Yanjie Fu*. Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. In Proceedings of SIAM International Conference on Data Mining 2023, 2023 (ACCEPTED).

[2] Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du*, Yuanchun Zhou. NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. In Proceedings of SIAM International Conference on Data Mining 2023, 2023 (ACCEPTED).论文链接：https://arxiv.org/abs/2212.13408

[3] Pengfei Wang, et al. Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations. In Proceedings of SIAM International Conference on Data Mining 2023, 2023 (ACCEPTED).