Saved in:
| Main Authors: | Wang, Pengfei, Zheng, Huanran, Xu, Qi'ao, Dai, Silong, Wang, Yiqiao, Yue, Wenjing, Zhu, Wei, Qian, Tianwen, Wang, Xiaoling |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.14978 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TS-P$^2$CL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification
by: Xu, Qi'ao, et al.
Published: (2025)
by: Xu, Qi'ao, et al.
Published: (2025)
HSACNet: Hierarchical Scale-Aware Consistency Regularized Semi-Supervised Change Detection
by: Xu, Qi'ao, et al.
Published: (2025)
by: Xu, Qi'ao, et al.
Published: (2025)
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
by: Wang, Pengfei, et al.
Published: (2024)
by: Wang, Pengfei, et al.
Published: (2024)
EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
by: Li, Yanjun, et al.
Published: (2025)
by: Li, Yanjun, et al.
Published: (2025)
CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Reasoning
by: Li, Kailing, et al.
Published: (2025)
by: Li, Kailing, et al.
Published: (2025)
StreamingEval: A Unified Evaluation Protocol towards Realistic Streaming Video Understanding
by: Tang, Guowei, et al.
Published: (2026)
by: Tang, Guowei, et al.
Published: (2026)
TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine
by: Yue, Wenjing, et al.
Published: (2024)
by: Yue, Wenjing, et al.
Published: (2024)
StreamEQA: Towards Streaming Video Understanding for Embodied Scenarios
by: Wang, Yifei, et al.
Published: (2025)
by: Wang, Yifei, et al.
Published: (2025)
ToG-Bench: Task-Oriented Spatio-Temporal Grounding in Egocentric Videos
by: Xu, Qi'ao, et al.
Published: (2025)
by: Xu, Qi'ao, et al.
Published: (2025)
ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
by: Peng, Ziheng, et al.
Published: (2025)
by: Peng, Ziheng, et al.
Published: (2025)
DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters
by: Zhang, Haoran, et al.
Published: (2026)
by: Zhang, Haoran, et al.
Published: (2026)
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting
by: Wang, Yulong, et al.
Published: (2025)
by: Wang, Yulong, et al.
Published: (2025)
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
by: Chen, Mouxiang, et al.
Published: (2024)
by: Chen, Mouxiang, et al.
Published: (2024)
AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting
by: Wang, Rui, et al.
Published: (2026)
by: Wang, Rui, et al.
Published: (2026)
CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
by: Wang, Xiaorui, et al.
Published: (2026)
by: Wang, Xiaorui, et al.
Published: (2026)
Fidel-TS: A High-Fidelity Multimodal Benchmark for Time Series Forecasting
by: Xu, Zhijian, et al.
Published: (2025)
by: Xu, Zhijian, et al.
Published: (2025)
WaveHiTS: Wavelet-Enhanced Hierarchical Time Series Modeling for Wind Direction Nowcasting in Eastern Inner Mongolia
by: Shu, Hailong, et al.
Published: (2025)
by: Shu, Hailong, et al.
Published: (2025)
StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
by: Zhang, Jintao, et al.
Published: (2026)
by: Zhang, Jintao, et al.
Published: (2026)
Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation
by: Li, Kailing, et al.
Published: (2026)
by: Li, Kailing, et al.
Published: (2026)
Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
by: Liang, Daojun, et al.
Published: (2025)
by: Liang, Daojun, et al.
Published: (2025)
Diffusion-TS: Interpretable Diffusion for General Time Series Generation
by: Yuan, Xinyu, et al.
Published: (2024)
by: Yuan, Xinyu, et al.
Published: (2024)
Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting
by: Zeng, Chen, et al.
Published: (2026)
by: Zeng, Chen, et al.
Published: (2026)
Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting
by: Wang, Siyuan, et al.
Published: (2026)
by: Wang, Siyuan, et al.
Published: (2026)
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
by: Cai, Xiuding, et al.
Published: (2024)
by: Cai, Xiuding, et al.
Published: (2024)
An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting
by: Cao, Rui, et al.
Published: (2024)
by: Cao, Rui, et al.
Published: (2024)
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting
by: Zhuo, Linhai, et al.
Published: (2024)
by: Zhuo, Linhai, et al.
Published: (2024)
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
by: Chang, Ching, et al.
Published: (2023)
by: Chang, Ching, et al.
Published: (2023)
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
by: Liu, Zhiding, et al.
Published: (2024)
by: Liu, Zhiding, et al.
Published: (2024)
FiCoTS: Fine-to-Coarse LLM-Enhanced Hierarchical Cross-Modality Interaction for Time Series Forecasting
by: Lyu, Yafei, et al.
Published: (2025)
by: Lyu, Yafei, et al.
Published: (2025)
STRATA-TS: Selective Knowledge Transfer for Urban Time Series Forecasting with Retrieval-Guided Reasoning
by: Jiang, Yue, et al.
Published: (2025)
by: Jiang, Yue, et al.
Published: (2025)
HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)
by: Wang, Tan, et al.
Published: (2025)
TriTS: Time Series Forecasting from a Multimodal Perspective
by: Ao, Xiang
Published: (2026)
by: Ao, Xiang
Published: (2026)
GenTS: A Comprehensive Benchmark Library for Generative Time Series Models
by: Wang, Chenxi, et al.
Published: (2026)
by: Wang, Chenxi, et al.
Published: (2026)
Large Language Model for Extracting Complex Contract Information in Industrial Scenes
by: Cao, Yunyang, et al.
Published: (2025)
by: Cao, Yunyang, et al.
Published: (2025)
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts
by: Wu, Wenfa, et al.
Published: (2025)
by: Wu, Wenfa, et al.
Published: (2025)
Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning
by: Li, Wenyao, et al.
Published: (2025)
by: Li, Wenyao, et al.
Published: (2025)
FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
by: Jalori, Gunjan, et al.
Published: (2025)
by: Jalori, Gunjan, et al.
Published: (2025)
LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling
by: Pan, Sheng, et al.
Published: (2026)
by: Pan, Sheng, et al.
Published: (2026)
FlowTS: Time Series Generation via Rectified Flow
by: Hu, Yang, et al.
Published: (2024)
by: Hu, Yang, et al.
Published: (2024)
Similar Items
-
TS-P$^2$CL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification
by: Xu, Qi'ao, et al.
Published: (2025) -
HSACNet: Hierarchical Scale-Aware Consistency Regularized Semi-Supervised Change Detection
by: Xu, Qi'ao, et al.
Published: (2025) -
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
by: Wang, Pengfei, et al.
Published: (2024) -
EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering
by: Li, Yanjun, et al.
Published: (2025) -
CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Reasoning
by: Li, Kailing, et al.
Published: (2025)