Fuyun Wang

Orcid: 0009-0003-7843-5215

According to our database1, Fuyun Wang authored at least 14 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Context Unrolling in Omni Models.
CoRR, April, 2026

2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation.
ACM Trans. Multim. Comput. Commun. Appl., October, 2025

Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation.
CoRR, October, 2025

Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation.
CoRR, April, 2025

MPDS: A Movie Posters Dataset for Image Generation with Diffusion Model.
Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Unleashing Vecset Diffusion Model for Fast Shape Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

M<sup>3</sup>Rec: Selective State Space Models with Mixture-of-Modality Experts for Multi-Modal Sequential Recommendation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Scene Graph-Grounded Image Generation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Olfactory imaging technology and detection platform for detecting pork meat freshness based on IoT.
Comput. Electron. Agric., December, 2023

Contrastive Multi-Level Graph Neural Networks for Session-Based Recommendation.
IEEE Trans. Multim., 2023

2022
Adaptive multi-level graph convolution with contrastive learning for skeleton-based action recognition.
Signal Process., 2022

CGSNet: Contrastive Graph Self-Attention Network for Session-based Recommendation.
Knowl. Based Syst., 2022


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