About Me

I am a first-year PhD student advised by Prof. Joemon Jose at University of Glasgow. Before this, I was a Research Assistant 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:

• Efficiency in multimodal recommendation and information retrieval systems
• Multimodal Generative Models

If you are interested in collaboration, please feel free to drop me an e-mail.

Selected Publications

• 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]
  - Accepted by SIGIR'2024.
• 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
• 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 Special Issue - Large-Scale Multimodal Learning
• Youhua Li, Hanwen Du, Yongxin Ni, Yuanqi He, Junchen Fu, Xiangyan Liu, Qi Guo. An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders. [CODE]
  - Arxiv 2024 (Preprint)
• 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]
  - Arxiv 2023 (Preprint)
• 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 (Perspective Paper)

Work Experience

• May. 2022 - Jun. 2023, Research Assistant, Representation Learning Lab at Westlake University, Hangzhou, China
• Aug. 2020 - Nov. 2020, Data Analyst Intern, Sandalwood Advisors Limited, Changsha, China

Education Background

• Oct. 2023 - Present, PhD in Computing Science, University of Glasgow (UofG), Glasgow, United Kingdom
• Aug. 2021 - Nov. 2022, MSc in Computer Science, The Chinese University of Hong Kong (CUHK), Hong Kong, China
• Sep. 2017 - Jun. 2021, BEng in Computer Science and Technology (Minor in Applied Psychology), Hunan Normal University (HNNU), Changsha, China

Professional Activities

• Served as a Reviewer:

  • ACM Transactions on Recommender Systems (TORS)
  • ACM ICME 2024-Workshops
  • ACM WWW 2024-Workshops
  • ACM SIGKDD 2024 (KDD'2024)
  • ACM Multimedia 2024 (MM'2024)
  • ACM Multimedia 2023 (MM'2023)

• Membership:

  • SIGIR Member
  • ACM Student Member

Honors and Awards

• 2023, SIGMOD Student Travel Awards
• 2023, China Scholarship Council (CSC) Scholarships
• 2022, CUHK Dean's List Scholarship
• 2022, CUHK Second Class Distinguished Academic Performance Scholarship
• 2021, CUHK Second Class Entrance Scholarship
• 2021, HNNU Outstanding Undergraduate Thesis Award (Advised by Prof. Zhaohui Qi)
• 2020, HNNU First Class Scholarship (Overall Score ranked 1^st out of 55）
• 2020, Oustanding Student in International Graduate Summer School on Big Data and Artificial Intelligence in Hunan Province
• 2019, First Prize of Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM) in Hunan Province