AWSDM 2025于2025年3月10号到14号在德国汉诺威举行(Hannover, Germany)
本文总结了WSDM 2024有关时间序列(time series)的相关论文,如有疏漏,欢迎大家补充。(没有时空数据相关的论文)
时间序列Topic:异常检测,表示学习,分类。总计3篇。
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1 Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
链接:arxiv.org/abs/2403.12372
作者:Mingyue Cheng (University of Science and Technology of China)*; Xiaoyu Tao (University of Science and Technology of China); Qi Liu (” University of Science and Technology of China, China”); Hao Zhang (University of Science and Technology of China); Yiheng Chen (USTC); Defu Lian (University of Science and Technology of China)
关键词:表示学习,自监督预训练
2 Empowering Time Series Classification with Multimodal Language Modeling
链接:arxiv.org/abs/2403.12371
作者:Mingyue Cheng (University of Science and Technology of China)*; Yiheng Chen (USTC); Qi Liu (” University of Science and Technology of China, China”); Zhiding Liu (University of Science and Technology of China); Yucong Luo (University of Science and Technology of China); Enhong Chen (University of Science and Technology of China)
关键词:时间序列分类,多模态
3 Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
作者:Jiazhen Chen (University of Waterloo)*; Mingbin Feng (University of Waterloo); Tony S. Wirjanto (University of Waterloo)
关键词:时间序列异常检测
相关链接
WSDM 2025接受论文:https://www.wsdm-conference.org/2025/accepted-papers/
🌟【紧跟前沿】“时空探索之旅”与你一起探索时空奥秘!🚀
欢迎大家关注时空探索之旅时空探索之旅