Research graph
References from “Time” Meets “Text”: Building the semantic bridge for forecasting with LLMs. Local targets link to admitted publications; unresolved targets remain external evidence.
ThermoStill: distilling time series foundation model into thermal dynamics model for HVAC model predictive control
2026 · External reference
Adaptive graph convolution neural networks with spatial and frequency domain attention mechanism for traffic flow forecasting
10.1016/j.asoc.2026.115156 · 2026 · External reference
Multivariable financial time series forecasting based on phase space reconstruction compensation
10.1007/s00521-024-10650-z · 2025 · External reference
OmniFuse: composite degradation-robust image fusion with language-driven semantics
10.1109/tpami.2025.3568433 · 2025 · External reference
Language Models are Few-Shot Learners
2020 · External reference
Unresolved reference
External reference
CASPFuse: an infrared and visible image fusion method based on dual-cycle crosswise awareness and global structure-tensor preservation
2025 · External reference
Informer: beyond efficient transformer for long sequence time-Series forecasting
2021 · External reference
Autoformer: decomposition transformers with auto-correlation for long-Term series forecasting
2021 · External reference
FEDformer: frequency enhanced decomposed transformer for long-term series forecasting
2022 · External reference
iTransformer: inverted transformers are effective for time series forecasting
2024 · External reference
PromptCast: a new prompt-based learning paradigm for time series forecasting
10.1109/tkde.2023.3342137 · 2023 · External reference
Unresolved reference
External reference
One fits all: power general time series analysis by pretrained LM
10.52202/075280-1877 · 2023 · External reference
TimeCMA: towards LLM-empowered multivariate time series forecasting via cross-modality alignment
2025 · External reference
An infrared and visible image fusion method based on semantic-sensitive mask selection and bidirectional-collaboration region fusion
10.1109/tcsvt.2024.3520252 · 2025 · External reference
A robust zero-shot framework based on adaptive illumination perception and trichromatic calibration for extreme low-light image enhancement
10.1016/j.engappai.2025.113388 · 2026 · External reference
Reversible instance normalization for accurate time-series forecasting against distribution shift
2022 · External reference
Unresolved reference
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Unresolved reference
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LoRA: Low-Rank Adaptation of Large Language Models
2022 · External reference
Retrieval augmented time series forecasting
2025 · External reference
Are transformers effective for time series forecasting?
2023 · External reference
TimesNet: temporal 2D-variation modeling for general time series analysis
2023 · External reference
Unresolved reference
External reference
A time series is worth 64 words: long-term forecasting with transformers
2023 · External reference
OFA: unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework
2022 · External reference
Multivariable financial time series forecasting based on phase space reconstruction compensation
10.1007/s00521-024-10650-z · ExternalCitation · doi-reference
Adaptive graph convolution neural networks with spatial and frequency domain attention mechanism for traffic flow forecasting
10.1016/j.asoc.2026.115156 · ExternalCitation · doi-reference
A robust zero-shot framework based on adaptive illumination perception and trichromatic calibration for extreme low-light image enhancement
10.1016/j.engappai.2025.113388 · ExternalCitation · doi-reference
An infrared and visible image fusion method based on semantic-sensitive mask selection and bidirectional-collaboration region fusion
10.1109/tcsvt.2024.3520252 · ExternalCitation · doi-reference
PromptCast: a new prompt-based learning paradigm for time series forecasting
10.1109/tkde.2023.3342137 · ExternalCitation · doi-reference
OmniFuse: composite degradation-robust image fusion with language-driven semantics
10.1109/tpami.2025.3568433 · ExternalCitation · doi-reference
One fits all: power general time series analysis by pretrained LM
10.52202/075280-1877 · ExternalCitation · doi-reference