SIGMOD 2026 | 时间序列(Time Series)论文总结【时序压缩，异常检测，聚类，生成，时序图，时序数据库等】

SIGMOD 2026在2026年5月31日至6月5日在印度班加罗尔（Bengaluru, India）正在举行。

本文总结了SIGMOD 2026有关时间序列（Time Series）的相关文章，共计9篇，如有疏漏，欢迎补充。

时间序列Topic：时序压缩，异常检测，聚类，生成，时序图，时序数据库等

1 FLEA: Frequency-based Lossless Encoding Algorithm for Periodic Time Series

链接：https://dl.acm.org/doi/10.1145/3802063

代码：https://github.com/Mr-Spade/FLEA

作者：Tianrui Xia (Tsinghua University); Jinzhao Xiao (Tsinghua University); Shaoxu Song (Tsinghua University)*

关键词：时间序列压缩，无损压缩，周期性时间序列，频域，编码算法

2 HYDRA: A Multi-Level Hierarchy-Driven Approach for Robust Anomaly Detection in Time Series

链接：https://dl.acm.org/doi/10.1145/3802074

代码：https://github.com/thedatumorg/HYDRA

作者：Mingyi Huang (The Ohio State University)*; Qinghua Liu (The Ohio State University); Paul Boniol (Inria); John Paparrizos (The Ohio State University)

关键词：异常检测，无监督学习，集成学习，稳健性

3 MUFASA: Fast and Accurate Multivariate Time-Series Clustering

链接：https://dl.acm.org/doi/10.1145/3802090

代码：https://github.com/thedatumorg/MUFASA

作者：Haojun Li (The Ohio State University)*; John Paparrizos (The Ohio State University)

关键词：时间序列聚类，多元时序

4 Periodic Community Search in Temporal Graphs: Time Series-based Methods

链接：https://dl.acm.org/doi/10.1145/3802099

作者：Yu Chen (Zhejiang University); Qing Liu (Zhejiang University); Chengyang Luo (Zhejiang University); Yunjun Gao (Zhejiang University)*

关键词：周期性社区搜索；基于时间序列的周期性判定；时序图

5 SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning

链接：https://dl.acm.org/doi/10.1145/3786698

代码：https://github.com/ZJU-DAILY/SHoTClean

作者：Ziquan Fang (Zhejiang University)*; Wei Shao (Zhejiang University); Zheqi Lu (Zhejiang University); Lu Chen (Zhejiang University); Yunjun Gao (Zhejiang University)

关键词：多元时序，数据清理，数据质量

6 WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models

链接：https://dl.acm.org/doi/10.1145/3769842

代码：https://github.com/adis98/WaveStitch

作者：Aditya Shankar (TU Delft)*; Lydia Chen (TU Delft); Arie van Deursen (TU Delft); Rihan Hai (TU Delft)

关键词：时间序列生成，条件生成，扩散模型

7 Cleaning Time Series under Seasonal and Trend Constraints

链接：https://dl.acm.org/doi/pdf/10.1145/3769773

代码：https://github.com/czjthss/iotdb/tree/research/seasonal-repair

作者：Zijie Chen (Tsinghua University); Aoqian Zhang (Beijing Institute of Technology); Shaoxu Song (Tsinghua University)*

关键词：时间序列数据、季节趋势分解、数据清洗

8 Visualization-Oriented Progressive Time Series Transformation

链接：https://dl.acm.org/doi/10.1145/3769841

作者：Xin Chen (Renmin University of China); Lingyu Zhang (Southern University of Science and Technology); Huaiwei Bao (Shandong University); Wei Lu (Renmin University of China); Eugene Wu (Columbia University); Xiaohui Yu (York University); Yunhai Wang (Renmin University of China)*

关键词：时间序列，交互式渐进可视化，变换

9 [Industry]Analyzing and Improving Floating-Point Compression for Application Monitoring Time Series

链接：https://dl.acm.org/doi/abs/10.1145/3788853.3803097

作者：Konstantin Urbanides (Dynatrace)*; Markus Weninger (Johannes Kepler University Linz); Otmar Ertl (Dynatrace)

关键词：无损压缩；浮点压缩；轻量级压缩；基于启发式的算法选择；应用监控时间序列