A TDF-WNSP-WLFM algorithm for product recommendation based on multiple types of implicit user behavior. - Junchen Fu; Zhaohui Qi (J. Supercomput., 2022)

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited. - Zheng Yuan; Fajie Yuan; Yu Song 007; Youhua Li; Junchen Fu; Fei Yang; Yunzhu Pan; Yongxin Ni (SIGIR, 2023)

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation. - Jiaqi Zhang; Yu Cheng 011; Yongxin Ni; Yunzhu Pan; Zheng Yuan; Junchen Fu; Youhua Li; Jie Wang 072; Fajie Yuan (CoRR, 2023)

A Content-Driven Micro-Video Recommendation Dataset at Scale. - Yongxin Ni; Yu Cheng 011; Xiangyan Liu; Junchen Fu; Youhua Li; Xiangnan He 001; Yongfeng Zhang; Fajie Yuan (CoRR, 2023)

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 (ACM Multimedia, 2024)

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. - Junchen Fu; Xuri Ge; Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Jie Wang 072; Joemon M. Jose (SIGIR, 2024)

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. - Junchen Fu; Fajie Yuan; Yu Song 007; Zheng Yuan; Mingyue Cheng; Shenghui Cheng; Jiaqi Zhang; Jie Wang 072; Yunzhu Pan (WSDM, 2024)

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. - Junchen Fu; Xuri Ge; Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Kaiwen Zheng; Yongxin Ni; Joemon M. Jose (CoRR, 2024)

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 (WSDM, 2025)