Junchen Fu

According to our database, Junchen Fu authored at least 23 papers between 2022 and 2025.

Collaborative distances:

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

2025

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation.

Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Kaiwen Zheng, Yongxin Ni, Joemon M. Jose

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

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

Yu Ye, Junchen Fu, Yu Song, Kaiwen Zheng, Joemon M. Jose

CoRR, August, 2025

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation.

Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation.

Junchen Fu, Yongxin Ni, Joemon M. Jose, Ioannis Arapakis, Kaiwen Zheng, Youhua Li, Xuri Ge

CoRR, April, 2025

Video-Bench: Human-Aligned Video Generation Benchmark.

Hui Han, Siyuan Li, Jiaqi Chen, Yiwen Yuan, Yuling Wu, Chak Tou Leong, Hanwen Du, Junchen Fu, Youhua Li, Jie Zhang, Chi Zhang, Li-jia Li, Yongxin Ni

CoRR, April, 2025

LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation.

Junchen Fu, Xuri Ge, Kaiwen Zheng, Ioannis Arapakis, Xin Xin, Joemon M. Jose

CoRR, February, 2025

Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation.

Ziyi Zhuang, Hanwen Du, Hui Han, Youhua Li, Junchen Fu, Joemon M. Jose, Yongxin Ni

Proceedings of the ACM on Web Conference 2025, 2025

Exploring Multimodal Pre-trained Models for Speech Emotion Recognition.

Zhiyu Liu, Junchen Fu, Kaiwen Zheng, Joemon M. Jose

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Xuri Ge, Linqing Li, Songpei Xu, Kaiwen Zheng, Yaoqin He, Junchen Fu, Joemon M. Jose

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.

Junchen Fu, Xuri Ge, Xin Xin, Haitao Yu, Yue Feng, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

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.

Hongji Li, Hanwen Du, Youhua Li, Junchen Fu, Chunxiao Li, Ziyi Zhuang, Jiakang Li, Yongxin Ni

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering.

Yaoqin He, Junchen Fu, Kaiwen Zheng, Songpei Xu, Fuhai Chen, Jie Li, Joemon M. Jose, Xuri Ge

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multimodal Representation Learning Techniques for Comprehensive Facial State Analysis.

Kaiwen Zheng, Xuri Ge, Junchen Fu, Jun Peng, Joemon M. Jose

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Video-Bench: Human-Aligned Video Generation Benchmark.

Hui Han, Siyuan Li, Jiaqi Chen, Yiwen Yuan, Yuling Wu, Yufan Deng, Chak Tou Leong, Hanwen Du, Junchen Fu, Youhua Li, Jie Zhang, Chi Zhang, Li-jia Li, Yongxin Ni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Frequency-Decoupled Distillation for Efficient Multimodal Recommendation.

Ziyi Zhuang, Hongji Li, Junchen Fu, Jiacheng Liu, Joemon M. Jose, Youhua Li, Yongxin Ni

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

A Content-Driven Micro-Video Recommendation Dataset at Scale.

Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan

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

2024

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation.

Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Kaiwen Zheng, Yongxin Ni, Joemon M. Jose

CoRR, 2024

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.

Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan

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.

Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose

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.

Xuri Ge, Junchen Fu, Fuhai Chen, Shan An, Nicu Sebe, Joemon M. Jose

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.

Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan

CoRR, 2023

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited.

Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni

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.

Junchen Fu, Zhaohui Qi

J. Supercomput., 2022