Peiyuan Liu
7 papers · 2024–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(17)
🏆
Grand Slam
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Data Science & Analytics
(4)
Core Methods
(4)
Methods
(4)
Optimization & Theory
(3)
Architectures
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Optimization
(1)
Keywords
time series forecasting
(5)
deep learning
(2)
cross-modal learning
(1)
model architecture
(1)
wavelet transform
(1)
modality alignment
(1)
time series
(1)
gradient descent
(1)
nonstationarity
(1)
singular value decomposition
(1)
non-stationary time series
(1)
nuclear norm
(1)
convolutional neural network
(1)
frequency domain
(1)
long-term prediction
(1)
model optimization
(1)
temporal pattern
(1)
distribution discrepancy
(1)
schatten p-norm
(1)
multiscale decomposition
(1)
Papers
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
AAAI 2025
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
AAAI 2025
Efficient Differentiable Approximation of Generalized Low-rank Regularization
IJCAI 2025
TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting
ICML 2025
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
ICML 2025
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
NeurIPS 2024
Periodicity Decoupling Framework for Long-term Series Forecasting
ICLR 2024