All Stories

  1. Bridging NIP and MLM: A Unified Meta-Learning Framework for Sequential Recommendation

    Article • ACM Transactions on Knowledge Discovery from Data, January 2026, ACM (Association for Computing Machinery)

    Junchen Fu

  2. R 3 AG 2025: Workshop on Refined and Reliable Retrieval-Augmented Generation

    Article • December 2025, ACM (Association for Computing Machinery)

    Junchen Fu

  3. Frequency-Decoupled Distillation for Efficient Multimodal Recommendation

    Article • November 2025, ACM (Association for Computing Machinery)

    Hongji Li, Junchen Fu

  4. Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights

    Article • November 2025, ACM (Association for Computing Machinery)

    Junchen Fu

  5. A Content-Driven Micro-Video Recommendation Dataset at Scale

    Article • November 2025, ACM (Association for Computing Machinery)

    Junchen Fu

  6. The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval

    Article • May 2025, ACM (Association for Computing Machinery)

    Junchen Fu, Alexandros Karatzoglou

  7. Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation

    Article • April 2025, ACM (Association for Computing Machinery)

    Junchen Fu

  8. Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration

    Article • March 2025, ACM (Association for Computing Machinery)

    Junchen Fu, Jiakang Li, Hongji Li

  9. Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning

    Article • October 2024, ACM (Association for Computing Machinery)

    Junchen Fu, Shan An

  10. IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT

    Article • July 2024, ACM (Association for Computing Machinery)

    Alexandros Karatzoglou, Junchen Fu

  11. Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights

    Article • March 2024, ACM (Association for Computing Machinery)

    Junchen Fu, Mingyue Cheng

  12. Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

    Article • July 2023, ACM (Association for Computing Machinery)

    Junchen Fu