Cover Image

A Survey of Route Recommendations: Methods, Applications, and Opportunities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Shiming, Luo, Zhipeng, Yang, Li, Teng, Fei, Li, Tianrui
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Continual Learning for Smart City: A Survey
by: Yang, Li, et al.
Published: (2024)

Out-of-Distribution Generalization in Time Series: A Survey
by: Wu, Xin, et al.
Published: (2025)

Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
by: Ma, Minbo, et al.
Published: (2025)

A Survey of Continual Reinforcement Learning
by: Pan, Chaofan, et al.
Published: (2025)

Federated Continual Learning via Knowledge Fusion: A Survey
by: Yang, Xin, et al.
Published: (2023)

Survey on Recent Progress of AI for Chemistry: Methods, Applications, and Opportunities
by: Ding, Hu, et al.
Published: (2025)

From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
by: Li, Ming, et al.
Published: (2024)

Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
by: Gadekallu, Thippa Reddy, et al.
Published: (2021)

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation
by: Li, Zhiwei, et al.
Published: (2025)

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities
by: Hao, Zhiwei, et al.
Published: (2025)

CrossVL: Complexity-Aware Feature Routing and Paired Curriculum for Cross-View Vision-Language Detection
by: Liu, Zhipeng, et al.
Published: (2026)

Stable but Wrong: When More Data Degrades Scientific Conclusions
by: Zhang, Zhipeng, et al.
Published: (2026)

The Rise of Sparse Mixture-of-Experts: A Survey from Algorithmic Foundations to Decentralized Architectures and Vertical Domain Applications
by: Pan, Dong, et al.
Published: (2026)

More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning
by: Ma, Zhipeng, et al.
Published: (2024)

A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems
by: Li, Pang, et al.
Published: (2024)

Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
by: Li, Yujie, et al.
Published: (2025)

Tackling Small Sample Survival Analysis via Transfer Learning: A Study of Colorectal Cancer Prognosis
by: Zhao, Yonghao, et al.
Published: (2025)

Diffusion Models: A Comprehensive Survey of Methods and Applications
by: Yang, Ling, et al.
Published: (2022)

A Survey on Applications of Reinforcement Learning in Spatial Resource Allocation
by: Zhang, Di, et al.
Published: (2024)

Exploring Open-world Continual Learning with Knowns-Unknowns Knowledge Transfer
by: Li, Yujie, et al.
Published: (2025)

What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies
by: Zhang, Fan, et al.
Published: (2026)

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
by: Cummins, Logan, et al.
Published: (2024)

Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)

Training instability in deep learning follows low-dimensional dynamical principles
by: Zhang, Zhipeng, et al.
Published: (2026)

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities
by: Yang, Enneng, et al.
Published: (2024)

Learning Contrastive Feature Representations for Facial Action Unit Detection
by: Shang, Ziqiao, et al.
Published: (2024)

Collaboration! Towards Robust Neural Methods for Routing Problems
by: Zhou, Jianan, et al.
Published: (2024)

Graph Foundation Models for Recommendation: A Comprehensive Survey
by: Wu, Bin, et al.
Published: (2025)

ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
by: Tian, Jindong, et al.
Published: (2025)

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale
by: Luo, Liang, et al.
Published: (2026)

ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification
by: Wu, Xin, et al.
Published: (2025)

Destroy and Repair Using Hyper Graphs for Routing
by: Li, Ke, et al.
Published: (2025)

Meta-Cognitive Reinforcement Learning with Self-Doubt and Recovery
by: Zhang, Zhipeng, et al.
Published: (2026)

Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method
by: Chen, Yixi, et al.
Published: (2025)

Emerging Synergies in Causality and Deep Generative Models: A Survey
by: Zhou, Guanglin, et al.
Published: (2023)

TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)

Prompt Learning for Generalized Vehicle Routing
by: Liu, Fei, et al.
Published: (2024)

STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
by: Luo, Xunlian, et al.
Published: (2023)

Near-Optimal Online Deployment and Routing for Streaming LLMs
by: Li, Shaoang, et al.
Published: (2025)

Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability
by: Hou, Yuntian, et al.
Published: (2024)