This page was last updated on 2026-08-10 06:37:13 UTC
Recommendations for the article Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
| Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
|---|---|---|---|---|---|---|
| visibility_off | TS-TFMAE: time series self-supervised learning with time–frequency masked autoencoders | Songbai Liu, Hongru Li, Yinghua Yang | 2026-03-16 | Applied Intelligence | 1 | 2 |
| visibility_off | TS-TFCDP: Time-Frequency Cross-Domain Prediction for Time Series Self-Supervised Learning | Songbai Liu, Hongru Li, S. Wen, Xingyu Feng | 2026-05-15 | 2026 38th Chinese Control and Decision Conference (CCDC) | 0 | 4 |
| visibility_off | Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review | Ziyu Liu, A. Alavi, Minyi Li, X. Zhang | 2023-04-23 | Sensors (Basel, Switzerland) | 111 | 88 |
| visibility_off | FAT: Frequency-Aware Pretraining for Enhanced Time-Series Representation Learning | Rui Cheng, Xiangfei Jia, Qing Li, R. Xing, Jiwen Huang, Yu Zheng, Zhilong Xie | 2025-08-03 | Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 | 12 | 8 |
| visibility_off | Time-series representation learning via Time-Frequency Fusion Contrasting | Wenbo Zhao, Ling Fan | 2024-06-12 | Frontiers in Artificial Intelligence | 8 | 2 |
| visibility_off | TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning | Philipp Hallgarten, David Bethge, Ozan Özdenizci, T. Große-Puppendahl, Enkelejda Kasneci | 2023-06-10 | 2023 31st European Signal Processing Conference (EUSIPCO) | 8 | 45 |
| visibility_off | ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification | P. Quinlan, Qingguo Li, Xiaodan Zhu | 2026-04-09 | ArXiv | 0 | 6 |
| visibility_off | FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification | T. Tian, Chunyan Miao, Hangwei Qian | 2025-05-29 | Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 | 10 | 14 |
| visibility_off | Self-Supervised Learning via Flow-Guided Neural Operator on Time-Series Data | D. Nguyen, Jiachen Yao, Jiayu Wang, Julius Berner, Anima Anandkumar | 2026-02-12 | ArXiv | 0 | 24 |
| visibility_off | MedTS-TTT: Test-Time Training for Medical Time Series Classification | Mingzhi Chen, Yiyu Gui, Guibo Luo | 2026-06-19 | ArXiv | 0 | 14 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |