Junchen Fu
Orcid: 0000-0003-4759-2042Affiliations:
- University of Glasgow, Glasgow, UK
- Westlake University, China
According to our database1,
Junchen Fu
authored at least 19 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities.
CoRR, August, 2025
IEEE Trans. Pattern Anal. Mach. Intell., July, 2025
Multimodal Representation Learning Techniques for Comprehensive Facial State Analysis.
CoRR, April, 2025
CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation.
CoRR, April, 2025
LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation.
CoRR, February, 2025
Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation.
CoRR, 2024
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
2023
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
2022
A TDF-WNSP-WLFM algorithm for product recommendation based on multiple types of implicit user behavior.
J. Supercomput., 2022