ICDE 2024 | 时间序列（Time Series）论文总结

时空探索之旅

发布于 2024-11-19 16:16:49

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文章被收录于专栏：时空探索之旅

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376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，欢迎后台私信补充和修正。

时间序列Topic：异常检测，预测，表示学习，数据清洗等

标题词云

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

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

MACE

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

TimeDRL

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

SAGDFN

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