ICDE 2026在2026年5月4日至8日在加拿大蒙特利尔（Montréal, Canada）举行。

本文总结了ICDE 2026第一轮（round 1）有关时间序列（Time Series）的Research Track相关文章，共计5篇。

时间序列Topic：预测，异常检测，时序数据压缩，时序分析

1 Compressing High-Frequency Time Series Through Multiple Models and Stealing from Residuals

作者：Abduvoris Abduvakhobov (Aalborg University); Soeren Kejser Jensen (Aalborg University)*; Christian Thomsen (Aalborg University); Torben Bach Pedersen (Aalborg University)

关键词：时序压缩，高频时序，信息提取

2 Sorting Compressed Time Series

作者：Zhiheng Liu (Tsinghua University); Xingyu Liu (Tsinghua University); Shaoxu Song (Tsinghua University)*; Jianmin Wang (Tsinghua University)

关键词：压缩时序，排序

3 An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data

链接：https://arxiv.org/abs/2510.18998

作者：Buang Zhang (ECNU)*; Tung Kieu (Aalborg University); Xiangfei Qiu (East China Normal University); Chenjuan Guo (East China Normal University ); Jilin Hu (East China Normal University); Aoying Zhou (East China Normal University); Christian S. Jensen (Aalborg University); Bin Yang (East China Normal University)

关键词：异常检测，无监督

4 FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis

链接：https://arxiv.org/abs/2512.14078

作者：Da Zhang (Northwestern Polytechnical University); Bingyu Li (University of Science and Technology of China); Zhiyuan Zhao (Institute of Artificial Intelligence (TeleAI), China Telecom); Feiping Nie (Northwestern Polytechnical University); Junyu Gao (Northwestern Polytechnical University, Center for OPTical IMagery Analysis and Learning)*; Xuelong Li (Institute of Artificial Intelligence (TeleAI), China Telecom)

关键词：时序分析，傅里叶变换，小波变换