【WSDM 2022】时空数据挖掘论文

对WSDM 2022的录用论文进行了整理,筛选出其中与时空数据挖掘相关论文,并进行任务分类。

WSDM 2022 完整录用论文列表:https://www.wsdm-conference.org/2022/accepted-papers/

Human mobility prediction

RLMob: Deep Reinforcement Learning for Successive Mobility Prediction. Ziyan Luo, Congcong Miao

Precipitation forecasting

A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting. Jiachuan Wang, Lei Chen, Charles Wang Wai Ng

Route recommendation

Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining. Zhan Wang, Zhaohui Peng, Senzhang Wang, Qiao Song

Passenger demand prediction

CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction. Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou, Yang Wang

Urban flow prediction

ST-GSP: Spatial-Temporal Global Semantic Representation Learning for Urban Flow Prediction. Liang Zhao, Min Gao, Zongwei Wang


【WSDM 2022】时空数据挖掘论文
https://xiepeng21.cn/posts/e5ed55f3/
作者
Peter
发布于
2022年3月8日
许可协议