Zheyu Chen

According to our database, Zheyu Chen authored at least 23 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Jianheng Tang, Wei Wang, Xiping Hu, Edith C. H. Ngai

CoRR, April, 2026

CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Jianheng Tang, Yunhuai Liu, Edith C. H. Ngai

CoRR, March, 2026

DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Hewei Wang, Yijie Li, Xiping Hu, Edith C. H. Ngai

ACM Trans. Inf. Syst., February, 2026

LOBSTER: Bilateral global semantic enhancement for multimedia recommendation.

Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Jiyi Liu, Edith C. H. Ngai

Inf. Fusion, 2026

VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Zitong Wan, Hewei Wang, Weijie Liu, Yijie Li, Edith C. H. Ngai

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Edith C. H. Ngai

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng, Zewei Liu, Hewei Wang, Jiayi Zhang, Edith C. H. Ngai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Raymond Chi-Wing Wong, Edith C. H. Ngai

IEEE Trans. Knowl. Data Eng., November, 2025

Spec-LLaVA: Accelerating Vision-Language Models with Dynamic Tree-Based Speculative Decoding.

Mingxiao Huo, Jiayi Zhang, Hewei Wang, Jinfeng Xu, Zheyu Chen, Huilin Tai, Yijun Chen

CoRR, September, 2025

Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions.

Shuo Yang, Xinran Zheng, Jinfeng Xu, Jinze Li, Danyang Song, Zheyu Chen, Edith C. H. Ngai

CoRR, June, 2025

Improving Consumer Experience With Pre-Purify Temporal-Decay Memory-Based Collaborative Filtering Recommendation for Graduate School Application.

Jinfeng Xu, Zheyu Chen, Zixiao Ma, Jiyi Liu, Edith C. H. Ngai

IEEE Trans. Consumer Electron., May, 2025

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Wei Wang, Xiping Hu, Steven Hoi, Edith C. H. Ngai

CoRR, February, 2025

Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering.

Zheyu Chen, Jinfeng Xu, Yutong Wei, Ziyue Peng

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.

Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, Edith C. H. Ngai

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, Edith C. H. Ngai

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network.

Zheyu Chen, Jinfeng Xu, Haibo Hu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Hypercomplex Prompt-aware Multimodal Recommendation.

Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith C. H. Ngai

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai

CoRR, 2024

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024