SIAM International Conference on Data Mining (SIAM-SDM’23)是數(shù)據(jù)挖掘領(lǐng)域高水平學(xué)術(shù)會議,是中國計(jì)算機(jī)學(xué)會CCF推薦的國際學(xué)術(shù)刊物B類會議。近日,我中心大數(shù)據(jù)部題為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三篇論文被SIAM-SDM’23全文錄用。上述論文的第一作者分別是我中心博士研究生肖濛、碩士研究生葉旭、副研究員王鵬飛。



相關(guān)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).論文鏈接: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).