This page was last updated on 2026-03-09 06:30:51 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 | 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) | 79 | 86 |
| 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 | 4 | 7 |
| visibility_off | Time-series representation learning via Time-Frequency Fusion Contrasting | Wenbo Zhao, Ling Fan | 2024-06-12 | Frontiers in Artificial Intelligence | 7 | 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) | 6 | 44 |
| 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 | 2 | 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 | 20 |
| visibility_off | Time-Series Representation Feature Refinement with a Learnable Masking Augmentation Framework in Contrastive Learning | Junyeop Lee, Insung Ham, Yongmin Kim, Hanseok Ko | 2024-12-01 | Sensors (Basel, Switzerland) | 1 | 4 |
| visibility_off | Multi-view Self-Supervised Contrastive Learning for Multivariate Time Series | Yuhan Wu, Xiyu Meng, Yang He, Junru Zhang, Haowen Zhang, Yabo Dong, Dongming Lu | 2024-10-28 | Proceedings of the 32nd ACM International Conference on Multimedia | 5 | 7 |
| visibility_off | FAIM: Frequency-Aware Interactive Mamba for Time Series Classification | Da Zhang, Bingyu Li, Zhiyuan Zhao, Yanhan Zhang, Junyu Gao, Feiping Nie, Xuelong Li | 2025-11-26 | ArXiv | 0 | 12 |
| visibility_off | Efficient Biomedical Time-series Contrastive Learning: Revisiting Taylor Expansion in Loss Optimization | Yunho Jeong, Chanyu Moon, Jinmo Kim, Ji-Woong Choi | 2025-10-14 | 2025 16th International Conference on Information and Communication Technology Convergence (ICTC) | 0 | 5 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |