Zheyu Chen - RankMe

34 papers A* 5A 4Misc 1Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation. CoRR Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Jianheng Tang, Yunhuai Liu, Edith C. H. Ngai
2026	J	`jnl`	DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation. ACM Trans. Inf. Syst. Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Hewei Wang, Yijie Li, Xiping Hu, Edith C. H. Ngai
2026	J	`jnl`	LOBSTER: Bilateral global semantic enhancement for multimedia recommendation. Inf. Fusion Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Jiyi Liu, Edith C. H. Ngai
2026	—	`conf`	Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning. KDD (1) Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Edith C. H. Ngai
2026	A*	`conf`	Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering. AAAI Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng, Zewei Liu, Hewei Wang, Jiayi Zhang, Edith C. H. Ngai
2026	—	`conf`	VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation. KDD (1) Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Zitong Wan, Hewei Wang, Weijie Liu, Yijie Li, Edith C. H. Ngai
2025	J	`jnl`	A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions. CoRR Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Wei Wang, Xiping Hu, Steven Hoi, Edith C. H. Ngai
2025	A*	`conf`	COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation. SIGIR Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, Edith C. H. Ngai
2025	J	`jnl`	COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation. CoRR Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, Edith C. H. Ngai
2025	Misc	`conf`	Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network. ICASSP Zheyu Chen, Jinfeng Xu, Haibo Hu
2025	A	`conf`	Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation. CIKM Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai
2025	J	`jnl`	Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization. IEEE Trans. Knowl. Data Eng. Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Raymond Chi-Wing Wong, Edith C. H. Ngai
2025	J	`jnl`	Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions. CoRR Shuo Yang, Xinran Zheng, Jinfeng Xu, Jinze Li, Danyang Song, Zheyu Chen, Edith C. H. Ngai
2025	A	`conf`	Hypercomplex Prompt-aware Multimodal Recommendation. CIKM Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu
2025	J	`jnl`	Hypercomplex Prompt-aware Multimodal Recommendation. CoRR Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu
2025	J	`jnl`	Improving Consumer Experience With Pre-Purify Temporal-Decay Memory-Based Collaborative Filtering Recommendation for Graduate School Application. IEEE Trans. Consumer Electron. Jinfeng Xu, Zheyu Chen, Zixiao Ma, Jiyi Liu, Edith C. H. Ngai
2025	J	`jnl`	Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning. CoRR Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Edith C. H. Ngai
2025	—	`conf`	MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets. KDD (2) Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai
2025	J	`jnl`	MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets. CoRR Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai
2025	A*	`conf`	MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation. AAAI Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith C. H. Ngai
2025	J	`jnl`	Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering. CoRR Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng, Zewei Liu, Hewei Wang, Jiayi Zhang, Edith C. H. Ngai
2025	A	`conf`	NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation. RecSys Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, Edith C. H. Ngai
2025	J	`jnl`	NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation. CoRR Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, Edith C. H. Ngai
2025	J	`jnl`	Spec-LLaVA: Accelerating Vision-Language Models with Dynamic Tree-Based Speculative Decoding. CoRR Mingxiao Huo, Jiayi Zhang, Hewei Wang, Jinfeng Xu, Zheyu Chen, Huilin Tai, Yijun Chen
2025	A*	`conf`	Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering. SIGIR Zheyu Chen, Jinfeng Xu, Yutong Wei, Ziyue Peng
2025	J	`jnl`	Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering. CoRR Zheyu Chen, Jinfeng Xu, Yutong Wei, Ziyue Peng
2025	A*	`conf`	The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation. ACM Multimedia Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Edith C. H. Ngai
2025	J	`jnl`	The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation. CoRR Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Edith C. H. Ngai
2025	J	`jnl`	VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation. CoRR Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Zitong Wan, Hewei Wang, Weijie Liu, Yijie Li, Edith C. H. Ngai
2024	A	`conf`	AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation. CIKM Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Edith C. H. Ngai
2024	J	`jnl`	AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation. CoRR Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Edith C. H. Ngai
2024	J	`jnl`	Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network. CoRR Zheyu Chen, Jinfeng Xu, Haibo Hu
2024	J	`jnl`	FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering. CoRR Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai
2024	J	`jnl`	MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation. CoRR Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith Cheuk-Han Ngai