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)

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)

Video-Bench: Human-Aligned Video Generation Benchmark. - 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; et al. (CVPR, 2025)

Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration. - Hongji Li 003; Hanwen Du; Youhua Li; Junchen Fu; Chunxiao Li; Ziyi Zhuang; Jiakang Li; Yongxin Ni (WSDM, 2025)

The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. - Junchen Fu; Xuri Ge; Xin Xin 003; Haitao Yu 003; Yue Feng 002; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (WWW (Companion Volume), 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 (WWW (Companion Volume), 2025)

Exploring Multimodal Pre-trained Models for Speech Emotion Recognition. - Zhiyu Liu; Junchen Fu; Kaiwen Zheng; Joemon M. Jose (WWW (Companion Volume), 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 (WWW, 2025)

LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation. - Junchen Fu; Xuri Ge; Kaiwen Zheng; Ioannis Arapakis; Xin Xin 003; Joemon M. Jose (CoRR, 2025)

Video-Bench: Human-Aligned Video Generation Benchmark. - Hui Han; Siyuan Li; Jiaqi Chen; Yiwen Yuan; Yuling Wu; Chak Tou Leong; Hanwen Du; Junchen Fu; Youhua Li; Jie Zhang; Chi Zhang; Li-jia Li; et al. (CoRR, 2025)

CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation. - Junchen Fu; Yongxin Ni; Joemon M. Jose; Ioannis Arapakis; Kaiwen Zheng; Youhua Li; Xuri Ge (CoRR, 2025)

Multimodal Representation Learning Techniques for Comprehensive Facial State Analysis. - Kaiwen Zheng; Xuri Ge; Junchen Fu; Jun Peng; Joemon M. Jose (CoRR, 2025)

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 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities. - Yu Ye; Junchen Fu; Yu Song 007; Kaiwen Zheng; Joemon M. Jose (CoRR, 2025)