Yu Song

2026

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A Reproducibility Study of Multimodal Embeddings for Recommender Systems.
Yu Ye|Junchen Fu|Yu Song|Kaiwen Zheng|Joemon M. Jose
International Journal of Multimedia Information Retrieval (IJMIR) 2026 Volume 15 Issue 2
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Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities.
Yu Ye|Junchen Fu|Yu Song|Kaiwen Zheng|Joemon M. Jose
Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part III

2025

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Graph Machine Learning in the Era of Large Language Models (LLMs).
Shijie Wang|Jiani Huang|Zhikai Chen|Yu Song|Wenzhuo Tang|Haitao Mao|Wenqi Fan|Hui Liu|Xiaorui Liu|Dawei Yin|Qing Li
ACM Transactions on Intelligent Systems and Technology (TIST) 2025 Volume 16 Issue 5
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GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning.
Yu Song|Zhigang Hua|Yan Xie|Jingzhe Liu|Bo Long|Hui Liu
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

2024

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Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
Junchen Fu|Fajie Yuan|Yu Song|Zheng Yuan|Mingyue Cheng|Shenghui Cheng|Jiaqi Zhang|Jie Wang|Yunzhu Pan
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024

2023

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Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited.
Zheng Yuan|Fajie Yuan|Yu Song|Youhua Li|Junchen Fu|Fei Yang|Yunzhu Pan|Yongxin Ni
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023