Conv-like Scale-Fusion Time Series Transformer: A Multi-Scale Representation for Variable-Length Long Time Series
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Kai, Sun, Siming, Fan, Zhengyu, Yang, Qinmin, Jiang, Xuejun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment
by: Sun, Siming, et al.
Published: (2025)
by: Sun, Siming, et al.
Published: (2025)
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
by: Shang, Zongjiang, et al.
Published: (2024)
by: Shang, Zongjiang, et al.
Published: (2024)
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback
by: Qi, Yongzhi, et al.
Published: (2025)
by: Qi, Yongzhi, et al.
Published: (2025)
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
by: Xu, Xiongxiao, et al.
Published: (2024)
by: Xu, Xiongxiao, et al.
Published: (2024)
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining
by: Lin, Chenguo, et al.
Published: (2023)
by: Lin, Chenguo, et al.
Published: (2023)
Learning Recursive Multi-Scale Representations for Irregular Multivariate Time Series Forecasting
by: Li, Boyuan, et al.
Published: (2026)
by: Li, Boyuan, et al.
Published: (2026)
Multi-resolution Time-Series Transformer for Long-term Forecasting
by: Zhang, Yitian, et al.
Published: (2023)
by: Zhang, Yitian, et al.
Published: (2023)
DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting
by: Ding, Ruixin, et al.
Published: (2024)
by: Ding, Ruixin, et al.
Published: (2024)
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
by: Shang, Zongjiang, et al.
Published: (2024)
by: Shang, Zongjiang, et al.
Published: (2024)
DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables
by: Qiu, Xiangfei, et al.
Published: (2025)
by: Qiu, Xiangfei, et al.
Published: (2025)
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
by: Qiao, Zhongzheng, et al.
Published: (2025)
by: Qiao, Zhongzheng, et al.
Published: (2025)
S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting
by: Wu, Zihao, et al.
Published: (2025)
by: Wu, Zihao, et al.
Published: (2025)
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
by: Zhang, Huanyao, et al.
Published: (2025)
by: Zhang, Huanyao, et al.
Published: (2025)
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers
by: Sun, Jiarui, et al.
Published: (2025)
by: Sun, Jiarui, et al.
Published: (2025)
Multi-Knowledge Fusion Network for Time Series Representation Learning
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
by: Sakhinana, Sagar Srinivas, et al.
Published: (2024)
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
by: Li, Feifei, et al.
Published: (2024)
by: Li, Feifei, et al.
Published: (2024)
FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
by: Zhang, Boya, et al.
Published: (2026)
by: Zhang, Boya, et al.
Published: (2026)
Scaling Law for Large-Scale Pre-Training Using Chaotic Time Series and Predictability in Financial Time Series
by: Takemoto, Yuki
Published: (2025)
by: Takemoto, Yuki
Published: (2025)
MTM: A Multi-Scale Token Mixing Transformer for Irregular Multivariate Time Series Classification
by: Zhong, Shuhan, et al.
Published: (2025)
by: Zhong, Shuhan, et al.
Published: (2025)
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
by: Cai, Wanlin, et al.
Published: (2023)
by: Cai, Wanlin, et al.
Published: (2023)
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
by: Cheng, Mingyue, et al.
Published: (2024)
by: Cheng, Mingyue, et al.
Published: (2024)
FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling
by: Li, Zhengnan, et al.
Published: (2024)
by: Li, Zhengnan, et al.
Published: (2024)
TimeMar: Multi-Scale Autoregressive Modeling for Unconditional Time Series Generation
by: Xu, Xiangyu, et al.
Published: (2026)
by: Xu, Xiangyu, et al.
Published: (2026)
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2024)
by: Hu, Yifan, et al.
Published: (2024)
Diversified Scaling Inference in Time Series Foundation Models
by: Hua, Ruijin, et al.
Published: (2026)
by: Hua, Ruijin, et al.
Published: (2026)
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis
by: Zhong, Shuhan, et al.
Published: (2023)
by: Zhong, Shuhan, et al.
Published: (2023)
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)
by: Lu, Jiecheng, et al.
Published: (2024)
Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts
by: Qin, Dalin, et al.
Published: (2024)
by: Qin, Dalin, et al.
Published: (2024)
DMSC: Dynamic Multi-Scale Coordination Framework for Time Series Forecasting
by: Yang, Haonan, et al.
Published: (2025)
by: Yang, Haonan, et al.
Published: (2025)
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification
by: Mootoo, Xavier, et al.
Published: (2024)
by: Mootoo, Xavier, et al.
Published: (2024)
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
by: Wu, Xingjian, et al.
Published: (2025)
by: Wu, Xingjian, et al.
Published: (2025)
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting
by: Zhao, Shubao, et al.
Published: (2024)
by: Zhao, Shubao, et al.
Published: (2024)
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)
by: Wang, Yuxuan, et al.
Published: (2024)
Scaling Law for Time Series Forecasting
by: Shi, Jingzhe, et al.
Published: (2024)
by: Shi, Jingzhe, et al.
Published: (2024)
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
by: Wu, Li, et al.
Published: (2024)
by: Wu, Li, et al.
Published: (2024)
TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)
by: Zhang, Fan, et al.
Published: (2026)
Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2025)
by: Qiu, Xiangfei, et al.
Published: (2025)
Towards Neural Scaling Laws for Time Series Foundation Models
by: Yao, Qingren, et al.
Published: (2024)
by: Yao, Qingren, et al.
Published: (2024)
Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting
by: Ahuja, Rishi, et al.
Published: (2026)
by: Ahuja, Rishi, et al.
Published: (2026)
Auto-Configured Networks for Multi-Scale Multi-Output Time-Series Forecasting
by: Zha, Yumeng, et al.
Published: (2026)
by: Zha, Yumeng, et al.
Published: (2026)
Similar Items
-
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment
by: Sun, Siming, et al.
Published: (2025) -
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
by: Shang, Zongjiang, et al.
Published: (2024) -
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback
by: Qi, Yongzhi, et al.
Published: (2025) -
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
by: Xu, Xiongxiao, et al.
Published: (2024) -
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining
by: Lin, Chenguo, et al.
Published: (2023)