Yuxuan Liang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026

SV-2DGS: Optimization of sparse view 3D reconstruction based on 2DGS models.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2026

2025

Aeolus: A Multi-structural Flight Delay Dataset.

[BibT_eX]

[DOI]

CoRR, October, 2025

ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification.

[BibT_eX]

[DOI]

CoRR, August, 2025

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models.

[BibT_eX]

[DOI]

CoRR, August, 2025

Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction.

[BibT_eX]

[DOI]

CoRR, June, 2025

iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network.

[BibT_eX]

[DOI]

CoRR, April, 2025

Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms.

[BibT_eX]

[DOI]

CoRR, March, 2025

Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2025

GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, January, 2025

Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Flipover outperforms dropout in deep learning.

[BibT_eX]

[DOI]

Vis. Comput. Ind. Biomed. Art, December, 2024

Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

NuwaTS: a Foundation Model Mending Every Incomplete Time Series.

[BibT_eX]

[DOI]

CoRR, 2024

Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Generalization of Dynamic Graph Learning via Environment Prompt.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

Contrastive Trajectory Similarity Learning with Dual-Feature Attention.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Optimal battery selection for solar storage system.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computers, 2022

2021

Phase function estimation from a diffuse optical image via deep learning.

[BibT_eX]

[DOI]

CoRR, 2021

2017

M-NSGA-II: A Memetic Algorithm for Vehicle Routing Problem with Route Balancing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Yuxuan Liang

Known people with the same name:

Bibliography

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