Junchen Fu

Junchen Fu (付俊臣)

Pronunciation: Joon-chen Foo (/ˈdʒuːn tʃən fuː/)

University of Glasgow

PhD Candidate

School of Computing Science, IDA-section

Member of GAIR Lab

Email: j.fu.3@research.gla.ac.uk;

Google Scholar: Google Scholar Profile     Github: Google Scholar Profile     Twitter(X): Google Scholar Profile

About Me

I am a third-year PhD candidate at the University of Glasgow, advised by Prof. Joemon M. Jose, and have also been fortunate to be mentored by Dr. Alexandros Karatzoglou and Dr. Ioannis Arapakis. I am currently a visiting scholar at Leiden University, advised by Prof. Zhaochun Ren and Prof. Suzan Verberne. Previously, I worked as a Research Assistant at Westlake University under the supervision of Prof. Fajie Yuan, focusing on modality-based recommender systems. I received my MSc in Computer Science from The Chinese University of Hong Kong, where I graduated with Dean’s List honors.

My current research interests include:

I enjoy tackling non-trivial research questions with simple yet effective solutions.
I am seeking to collaborate on a research project with self-motivated MSc students from UofG, particularly those interested in pursuing a PhD. MSc students from UofG who are interested in research towards premier AI conferences/journals are welcome to drop me an email.

Latest News

Oral Presentation:

Workshop Summary:

Publications

  1. Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Kaiwen Zheng, Yongxin Ni, and Joemon M. Jose
    Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. [CODE]
    - Accepted by TKDE2025 (CORE Rank A*, CCF-A, JCR Q1, IF=10.4)
  2. Yu Ye, Junchen Fu# (corresponding author), Yu Song, Kaiwen Zheng, Joemon M. Jose.
    Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities.
    - Arxiv 2025 (Preprint)
  3. Zichen Yuan, Lifan Sun, Yucen Zhuang, Yue Wang, Xinyuan Song, Tianqi Xu, Siyuan Li, Junchen Fu, Youhua Li, Sirui Hong, Jiaqi Chen, Joemon M. Jose, Yongxin Ni.
    SOLAR: Serendipity Optimized Language Model Aligned for Recommendation.
    - EMNLP 2025 (Finding)
  4. Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan.
    A Content-Driven Micro-Video Recommendation Dataset at Scale. [CODE]
    - Accepted by CIKM2025 (CORE Rank A, CCF-B)
  5. Ziyi Zhuang, Hongji Li, Junchen Fu# (corresponding author), Jiacheng Liu, Joemon M. Jose, Youhua Li, Yongxin Ni.
    Frequency-Decoupled Distillation for Efficient Multimodal Recommendation.
    - Accepted by CIKM2025 (CORE Rank A, CCF-B)
  6. Yaoqin He*, Junchen Fu*(co-first authors), Kaiwen Zheng, Songpei Xu, Fuhai Chen, Jie Li, Joemon M. Jose, and Xuri Ge.
    Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering.
    -Accepted by ICML2025 (CORE Rank A*, CCF-A)
  7. Junchen Fu, Yongxin Ni, Joemon M. Jose, Ioannis Arapakis, Kaiwen Zheng, Youhua Li, and Xuri Ge.
    CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation.
    -Arxiv 2025 (Preprint)
  8. Kaiwen Zheng, Xuri Ge, Junchen Fu, Jun Peng, Joemon M. Jose.
    Multimodal Representation Learning Techniques for Comprehensive Facial State Analysis.
    - Accepted by ICME2025 (CORE Rank A, CCF-B)
  9. Junchen Fu, Xuri Ge, Kaiwen Zheng, Ioannis Arapakis, Xin Xin, Joemon M. Jose.
    LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation.
    - Arxiv 2025 (Preprint)
  10. 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.
    Human-Aligned Video Generation Benchmark.
    - Accepted by CVPR'2025 (CORE Rank A*, CCF-A)
  11. Ziyi Zhuang, Hanwen Du, Hui Han, Youhua Li, Junchen Fu, Joemon M. Jose, Yongxin Ni.
    Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation.
    - Accepted by ACM WWW'2025 (CORE Rank A*, CCF-A)
  12. Xuri Ge, Linqing Li, Songpei Xu, Kaiwen Zheng, Yaoqin He, Junchen Fu, Joemon M. Jose.
    The DenseCap-Guided Attention Network For Image-Text Matching.
    - ACM WWW'2025 Workshop
  13. Zhiyu Liu, Junchen Fu# (corresponding author), Kaiwen Zheng, Joemon M. Jose.
    Exploring Multimodal Pre-trained Models for Speech Emotion Recognition.
    - ACM WWW'2025 Workshop
  14. Hongji Li, Hanwen Du, Youhua li, Junchen Fu, Chunxiao Li, Ziyi Zhuang, Jiakang Li, Yongxin Ni.
    Teach Me How to Denoise: a Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration.
    - Accepted by ACM WSDM'2025 (CORE Rank A, CCF-B)
  15. Xuri Ge*, Junchen Fu*(co-first authors), Fuhai Chen, Shan An, Nicu Sebe, Joemon Jose.
    Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning.
    - ACM MM'2024 (CORE Rank A*, CCF-A).
  16. Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon Jose.
    IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. [CODE]
    - SIGIR'2024 (CORE Rank A*, CCF-A).
  17. Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan.
    Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. [CODE]
    - WSDM'2024 (CORE Rank A, CCF-B).
  18. Jiaqi Zhang, Yu Cheng, Yongxin Ni, Yunzhu Pan, Zheng Yuan, Junchen Fu, Youhua Li, Jie Wang, Fajie Yuan.
    NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation. [CODE]
    - TPAMI2024 (CORE Rank A*, CCF-A, JCR Q1, IF=20.8)
  19. Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, and Yongxin Ni.
    Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. [CODE]
    - SIGIR'2023 (CORE Rank A*, CCF-A)
  20. Junchen Fu and Zhaohui Qi.
    A TDF-WNSP-WLFM algorithm for product recommendation based on multiple types of implicit user behavior.
    - The Journal of Supercomputing 2022 (CORE Rank B, CCF-C, JCR Q2, IF=2.5)

Work Experience

Education Background

MSc Supervision

Graduate Teaching Assistant

Professional Activities

Honors and Awards