Junchen Fu

Junchen Fu (付俊臣)

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 advised by Prof. Joemon M. Jose at University of Glasgow. Before this, I was a Research Assistant supervised by Prof. Fajie Yuan at Westlake University, focusing on Modality-based Recommender Systems. I received my MSc in Computer Science from The Chinese University of Hong Kong, graduating with Dean's list honors. My current research interests are in:

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

Workshop Summary:

Publications

  1. 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)
  2. 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)
  3. Ziyi Zhuang, Hongji Li, Junchen Fu, Jiacheng Liu, Joemon M. Jose, Youhua Li, Yongxin Ni.
    Frequency-Decoupled Distillation for Efficient Multimodal Recommendation.
    - Accepted by CIKM2025 (CORE Rank A, CCF-B)
  4. 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)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. Xuri Ge, Linqing Li, Songpei Xu, Kaiwen Zheng, Yaoqin He, Junchen Fu# (corresponding author), Joemon M. Jose.
    The DenseCap-Guided Attention Network For Image-Text Matching.
    - ACM WWW'2025 Workshop
  11. Zhiyu Liu, Junchen Fu# (corresponding author), Kaiwen Zheng, Joemon M. Jose.
    Exploring Multimodal Pre-trained Models for Speech Emotion Recognition.
    - ACM WWW'2025 Workshop
  12. 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)
  13. 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.
    - Arxiv 2024 (Preprint, Extension of IISAN)
  14. 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).
  15. 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).
  16. 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).
  17. 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)
  18. 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)
  19. 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