Zheyu Chen
Orcid: 0009-0003-5779-3523Affiliations:
- Hong Kong Polytechnic University, Department of Electrical and Electronic Engineering, Hong Kong
According to our database1,
Zheyu Chen
authored at least 12 papers
between 2024 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation.
CoRR, July, 2025
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation.
CoRR, July, 2025
Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions.
CoRR, June, 2025
Improving Consumer Experience With Pre-Purify Temporal-Decay Memory-Based Collaborative Filtering Recommendation for Graduate School Application.
IEEE Trans. Consumer Electron., May, 2025
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets.
CoRR, May, 2025
CoRR, February, 2025
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering.
CoRR, 2024
AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024