Junchen Fu

2026

A Reproducibility Study of Multimodal Embeddings for Recommender Systems.

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

International Journal of Multimedia Information Retrieval (IJMIR) 2026 Volume 15 Issue 2

Beyond efficient fine-tuning: Efficient hybrid fine-tuning of CLIP models guided by explainable ViT attention.

Hui Ye|Xuri Ge|Junqi Wang|Junchen Fu|Xin Xin|Jiao Xue|Yao Chen|Pengjie Ren|Zhumin Chen

Information Processing and Management 2026 Volume 63 Issue 5

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

Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part III

Focal-RegionFace: Generating Fine-Grained Multi-attribute Descriptions for Arbitrarily Selected Face Focal Regions.

Kaiwen Zheng|Junchen Fu|Songpei Xu|Yaoqin He|Joemon M. Jose|Hu Han|Xuri Ge

Proceedings of the 2026 International Conference on Multimedia Retrieval, ICMR 2026, Amsterdam, The Netherlands, June 16-19, 2026

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, CIKM 2025, Seoul, Republic of Korea, November 10-14, 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, CIKM 2025, Seoul, Republic of Korea, November 10-14, 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, WSDM 2025, Hannover, Germany, March 10-14, 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, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 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

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 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

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

Exploring Multimodal Pre-trained Models for Speech Emotion Recognition.

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

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

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, SIGIR 2024, Washington DC, USA, July 14-18, 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, WSDM 2024, Merida, Mexico, March 4-8, 2024

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, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023