Weihao Yu

Orcid: 0000-0003-0727-4744

Affiliations:

Research Institute of China Telecom Corporate Ltd., Guangzhou, Guangdong, China

According to our database¹, Weihao Yu authored at least 25 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2026

A semantic driven adaptive framework for few-shot knowledge graph completion.

[BibT_eX]

[DOI]

Neurocomputing, 2026

2025

AsyMoE: Leveraging Modal Asymmetry for Enhanced Expert Specialization in Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, September, 2025

Evaluation and Optimization of Backbone Network Reliability Problems Using Decision Diagram Methods.

[BibT_eX]

[DOI]

Yingjun Ye

Ke Ruan

Weihao Yu

IEEE Trans. Netw. Serv. Manag., February, 2025

A diffusion multi-interest framework for cross-domain recommendation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

A Hybrid Learning Approach for Continual Knowledge Graph Embedding: Contrastive Masking and Joint Anti-Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

2024

TSA-Net: a temporal knowledge graph completion method with temporal-structural adaptation.

[BibT_eX]

[DOI]

Appl. Intell., November, 2024

Neighborhood-enhanced contrast for pre-training graph neural networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2024

Lorentz equivariant model for knowledge-enhanced hyperbolic collaborative filtering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Generalizable Geometry-Aware Human Radiance Modeling from Multi-view Images.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

NeRF-SR++: Towards Higher Quality Supersampled Neural Radiation Fields.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

MGKT: A Multi-Relation Enhanced Graph-Based Model for Knowledge Tracing.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Sequential Recommendation via Temporal Data Augmentation and Fourier Convolution.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Algorithms, 2024

2023

Enhanced edge convolution-based spatial-temporal network for network traffic prediction.

[BibT_eX]

[DOI]

Appl. Intell., October, 2023

ODformer: Spatial-temporal transformers for long sequence Origin-Destination matrix forecasting against cross application scenario.

[BibT_eX]

[DOI]

Expert Syst. Appl., July, 2023

Routing hypergraph convolutional recurrent network for network traffic prediction.

[BibT_eX]

[DOI]

Appl. Intell., June, 2023

HyperDNE: Enhanced hypergraph neural network for dynamic network embedding.

[BibT_eX]

[DOI]

Neurocomputing, March, 2023

Lorentz Equivariant Model for Knowledge-Enhanced Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2023

What is wrong with deep knowledge tracing? Attention-based knowledge tracing.

[BibT_eX]

[DOI]

Appl. Intell., 2023

Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Multi-relational knowledge graph completion method with local information fusion.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Dynamic Graph Representation Based on Temporal and Contextual Contrasting.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Algorithms, 2022

2021

A deep embedding model for knowledge graph completion based on attention mechanism.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2021

Community Detection Based on Modularized Deep Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2021

2020

Learning from Interpretable Analysis: Attention-Based Knowledge Tracing.

[BibT_eX]

[DOI]

Gabriel Pui Cheong Fung

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Weihao Yu

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