:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cai, Zekun, Bai, Guangji, Jiang, Renhe, Song, Xuan, Zhao, Liang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2405.16075
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Continuous Domain Generalization
by: Cai, Zekun, et al.
Published: (2025)

Manifold-Aware Temporal Domain Generalization for Large Language Models
by: Yao, Yiheng, et al.
Published: (2026)

StructPrune: Structured Global Pruning asymptotics with $\mathcal{O}(\sqrt{N})$ GPU Memory
by: Song, Xinyuan, et al.
Published: (2025)

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)

SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting
by: Xu, Xiongxiao, et al.
Published: (2024)

Cross-modal RAG: Sub-dimensional Text-to-Image Retrieval-Augmented Generation
by: Zhu, Mengdan, et al.
Published: (2025)

MEGL: Multimodal Explanation-Guided Learning
by: Zhang, Yifei, et al.
Published: (2024)

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario
by: Wang, Hongjun, et al.
Published: (2024)

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection
by: Chen, Feiyi, et al.
Published: (2023)

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)

Robust Traffic Forecasting against Spatial Shift over Years
by: Wang, Hongjun, et al.
Published: (2024)

Event-Aware Prompt Learning for Dynamic Graphs
by: Yu, Xingtong, et al.
Published: (2025)

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
by: Yin, Du, et al.
Published: (2024)

Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition
by: Li, Dongyuan, et al.
Published: (2026)

Fourier Asymmetric Attention on Domain Generalization for Pan-Cancer Drug Response Prediction
by: Song, Ran, et al.
Published: (2025)

Deciphering Scientific Reasoning Steps from Outcome Data for Molecule Optimization
by: Liu, Zequn, et al.
Published: (2026)

Towards Neural Scaling Laws for Time Series Foundation Models
by: Yao, Qingren, et al.
Published: (2024)

Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2025)

ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
by: Wang, Yusong, et al.
Published: (2026)

TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformer
by: Wang, Jiawei, et al.
Published: (2026)

Learning Robust Spectral Dynamics for Temporal Domain Generalization
by: Yu, En, et al.
Published: (2025)

Revisiting Dynamic Graph Clustering via Matrix Factorization
by: Li, Dongyuan, et al.
Published: (2025)

Cyber Academia-Chemical Engineering (CA-ChemE): A Living Digital Town for Self-Directed Research Evolution and Emergent Scientific Discovery
by: Jiang, Zekun, et al.
Published: (2025)

FEED: Fairness-Enhanced Meta-Learning for Domain Generalization
by: Jiang, Kai, et al.
Published: (2024)

Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction
by: An, Rui, et al.
Published: (2025)

TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
by: Li, Peiran, et al.
Published: (2026)

Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
by: Chen, Wei, et al.
Published: (2024)

Generalizing Analogical Inference from Boolean to Continuous Domains
by: Cunha, Francisco, et al.
Published: (2025)

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning
by: Deng, Jiewen, et al.
Published: (2024)

Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition
by: Li, Guangli, et al.
Published: (2025)

Temporal Generalization Estimation in Evolving Graphs
by: Lu, Bin, et al.
Published: (2024)

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
by: Huang, Yu-Hao, et al.
Published: (2025)

Online Domain-aware LLM Decoding for Continual Domain Evolution
by: Abu-Shaira, Mohammad, et al.
Published: (2026)

TGFormer: Towards Temporal Graph Transformer with Auto-Correlation Mechanism
by: Chen, Hongjiang, et al.
Published: (2026)

Episodic Novelty Through Temporal Distance
by: Jiang, Yuhua, et al.
Published: (2025)

Temporal-Difference Variational Continual Learning
by: Melo, Luckeciano C., et al.
Published: (2024)

GEM: Generative Entropy-Guided Preference Modeling for Few-shot Alignment of LLMs
by: Zhao, Yiyang, et al.
Published: (2025)

GFRIEND: Generative Few-shot Reward Inference through EfficieNt DPO
by: Zhao, Yiyang, et al.
Published: (2025)

Fault Diagnosis across Heterogeneous Domains via Self-Adaptive Temporal-Spatial Attention and Sample Generation
by: Li, Guangqiang, et al.
Published: (2025)

DK-STN: A Domain Knowledge Embedded Spatio-Temporal Network Model for MJO Forecast
by: Li, Hongliang, et al.
Published: (2025)