第40届IEEE数据工程国际会议(ICDE2024 )于5月13日到17日在荷兰乌德勒支召开。
本届ICDE Research共接收论文375篇,Industry and Application接受论文21篇。本文总结了ICDE 2024上有关时间序列(Time Series)的工作,部分挂在了arXiv上。如有疏漏,欢迎补充。
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时间序列Topic:异常检测,预测,表示学习,数据清洗等
1. Unraveling the ‘Anomaly’ in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution
作者:Yuting Sun (the University of Queensland); Guansong Pang (Singapore Management University); Guanhua Ye (Deep Neural Computing Company Limited); Tong Chen (The University of Queensland); Xia Hu (Rice University); Hongzhi Yin (The University of Queensland)
关键词:异常检测,自监督
链接:https://arxiv.org/abs/2311.11235
代码:https://github.com/pseudo-Skye/TriAD
2. Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Anomaly Detection
作者:Feiyi Chen (Zhejiang University); Yingying Zhang (Alibaba Group); Zhen Qin (Zhejiang University); Lunting Fan (Alibaba Group ); Renhe Jiang (The University of Tokyo); Yuxuan Liang (The Hong Kong University of Science and Technology (Guangzhou)); Qingsong Wen (Squirrel AI); Shuiguang Deng (Zhejiang University)
关键词:异常检测
链接:https://arxiv.org/abs/2311.16191
3. TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
作者:Ching Chang (NYCU); ChiaoTung Chan (NYCU); Wei-Yao Wang (National Yang Ming Chiao Tung University); Wen-Chih Chris Peng (NYCU CS ); Tien-Fu Chen (National Yang Ming Chiao Tung Univ)
关键词:表示学习,自监督
链接:https://arxiv.org/abs/2312.04142
4. Graph Diffusion Forecasting Network for Multivariate Time Series Forecasting
作者:Yue Jiang ( Nanyang Technological University)*; Xiucheng Li (Harbin Institute of Technology); Yile Chen (Nanyang Technological University); SHUAI LIU (Nanyang Technological University); WEILONG KONG (Nanyang Technological University); Antonis F Lentzakis (NCS); Gao Cong (Nanyang Technological Univesity)
关键词:自适应图扩散,多元时间序列预测
5. Time Series Data Cleaning under Expressive Constraints on both Rows and Columns
作者:Xiaoou Ding (Harbin Institute of Technology); Genglong Li (Harbin Institute of Technology); Hongzhi Wang (Harbin Institute of Technology)*; Chen Wang (" Tsinghua University, China"); Yichen Song (HIT)
关键词:时序数据清理
6. TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis
作者:xiangkai ma (Nanjing University); Xiaobin Hong (Nanjing university); Sanglu Lu (NJU); Wenzhong Li (Nanjing University)
关键词:长程时序分析,谱域,分解
7. Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection
作者:Yuchen Fang (University of Electronic Science and Technology of China); jiandong xie (HUAWEI TECHNOLOGIES CO.LTD.); Yan Zhao (Aalborg University); Lu Chen (Zhejiang University); Yunjun Gao (Zhejiang University); Kai Zheng (University of Electronic Science and Technology of China)
关键词:异常检测,MAE,时频
8. REGER: Reordering Time Series Data for Regression Encoding
作者:Jinzhao Xiao (Tsinghua University); Wendi He (Tsinghua University); Shaoxu Song (Tsinghua University); Xiangdong Huang (Tsinghua University); Chen Wang (Timecho Limited); Jianmin Wang (“Tsinghua University, China”)
关键词:重排序,回归编码(看标题看不太懂。)
9. TSec: An Efficient and Effective Framework for Time Series Classification
作者:Yuanyuan Yao (Zhejiang University); Hailiang Jie (Zhejiang University); Lu Chen (Zhejiang University); Tianyi Li (Aalborg University); Yunjun Gao (Zhejiang University); Shi-ting Wen (NingboTech University)
关键词:时间序列分类
10. PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy
作者:Yulian MAO (SUSTech & PolyU); Qingqing Ye (Hong Kong Polytechnic University); Haibo Hu (Hong Kong Polytechnic University); Qi Wang (Southern University of Science and Technology); Kai Huang ( Macau University of Science and Technology)
关键词:差分隐私
11. TSDDISCOVER: Discovery Data Dependency for Time Series Data
作者:Xiaoou Ding (Harbin Institute of Technology); Yingze Li (HIT); Hongzhi Wang (Harbin Institute of Technology); Chen Wang (" Tsinghua University, China"); Yida Liu (Harbin Institute of Technology); Jianmin Wang (“Tsinghua University, China”)
关键词:独立性
相关链接
🌟【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
ICDE 2024 接收Research论文:https://icde2024.github.io/papers.html
ICDE 2024 接收Industry and Application论文:https://icde2024.github.io/industry.html’
[ICDE 2024 | 时间序列(Time Series)论文总结](https://mp.weixin.qq.com/s/eUbZFQuT1rhFQiIaCtudVQ)
WWW 2024 | 时间序列(Time Series)和时空数据(Spatial-Temporal)论文总结
ICDE 2023 时空数据论文汇总
AAAI 2024 时序(Time Series)和时空(Spatial-Temporal)论文总结
WSDM 2023 2024时空&时序论文总结
ICLR 2024 | 时空数据(Spatial-Temporal)论文汇总
ICLR 2024 时间序列(Time Series)论文总结
ICLR 2024 | 时空数据(Spatial-Temporal)论文汇总
ICLR 2024 时间序列(Time Series)论文总结