Junchen Fu
Research title: Efficiently Adapting Multimodal Foundation Models for Recommendation
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Research title: Efficiently Adapting Multimodal Foundation Models for Recommendation
Zhuang, Z., Du, H., Han, H., Li, Y., Fu, J., Jose, J. M. and Ni, Y. (2025) Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation. In: 2025 ACM Web Conference, Sydney, Australia, 28 Apr – 02 May 2025, (Accepted for Publication)
Ge, X. , Fu, J., Chen, F., An, S., Sebe, N. and Jose, J. M. (2024) Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning. In: 32nd ACM Multimedia Conference (MM2024), Melbourne, Australia, 28 Oct - 01 Nov 2024, pp. 8189-8198. ISBN 9798400706868 (doi: 10.1145/3664647.3681443)
Fu, J., Ge, X. , Xin, X., Karatzoglou, A., Arapakis, I., Wang, J. and Jose, J. (2024) IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. In: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, 14-18 July 2024, (Accepted for Publication)
Zhuang, Z., Du, H., Han, H., Li, Y., Fu, J., Jose, J. M. and Ni, Y. (2025) Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation. In: 2025 ACM Web Conference, Sydney, Australia, 28 Apr – 02 May 2025, (Accepted for Publication)
Ge, X. , Fu, J., Chen, F., An, S., Sebe, N. and Jose, J. M. (2024) Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning. In: 32nd ACM Multimedia Conference (MM2024), Melbourne, Australia, 28 Oct - 01 Nov 2024, pp. 8189-8198. ISBN 9798400706868 (doi: 10.1145/3664647.3681443)
Fu, J., Ge, X. , Xin, X., Karatzoglou, A., Arapakis, I., Wang, J. and Jose, J. (2024) IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. In: 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), Washington D.C., USA, 14-18 July 2024, (Accepted for Publication)