Junchen Fu

Orcid: 0000-0003-4759-2042

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities.
CoRR, August, 2025

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation.
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

Video-Bench: Human-Aligned Video Generation Benchmark.
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

Exploring Multimodal Pre-trained Models for Speech Emotion Recognition.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

The DenseCap-Guided Attention Network For Image-Text Matching.
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

Video-Bench: Human-Aligned Video Generation Benchmark.
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
A Content-Driven Micro-Video Recommendation Dataset at Scale.
CoRR, 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


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