Yicheng Di

Orcid: 0000-0003-3802-2080

According to our database1, Yicheng Di authored at least 15 papers between 2023 and 2026.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2026
Personalized semi-decentralized federated recommender.
Inf. Process. Manag., 2026

2025
Efficient Federated Recommender System with Adaptive Model Pruning and Momentum-based Batch Adjustment.
Trans. Recomm. Syst., September, 2025

Efficient federated recommender system based on Slimify Module and Feature Sharpening Module.
Knowl. Inf. Syst., August, 2025

Personalized Consumer Federated Recommender System Using Fine-Grained Transformation and Hybrid Information Sharing.
IEEE Trans. Consumer Electron., May, 2025

Federated Recommender System Based on Diffusion Augmentation and Guided Denoising.
ACM Trans. Inf. Syst., March, 2025

Federated cross-domain recommendation system based on bias eliminator and personalized extractor.
Knowl. Inf. Syst., March, 2025

DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation.
Medical Image Anal., 2025

Fine-Grained Global Modeling Learning for Personalized Federated Sequential Recommender.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Trustworthy Recommendation for Consumer Electronics Using Hypernetworks.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
TECDR: Cross-Domain Recommender System Based on Domain Knowledge Transferor and Latent Preference Extractor.
IEICE Trans. Inf. Syst., 2024

Hierarchy Knowledge-aware Contrastive Learning for Recommendation.
Proceedings of the 36th International Conference on Software Engineering and Knowledge Engineering, 2024

PathMamba: Weakly Supervised State Space Model for Multi-class Segmentation of Pathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Deeper Graph Contrastive Learning with Attention Mechanism for Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
MSAM: Cross-Domain Recommendation Based on Multi-Layer Self-Attentive Mechanism.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

CADCN: A click-through rate prediction model based on feature importance.
Proceedings of the 2023 4th International Conference on Computing, 2023


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