Youhua Li

2025

doi dblp
A Content-Driven Micro-Video Recommendation Dataset at Scale.
Yongxin Ni|Yu Cheng|Xiangyan Liu|Junchen Fu|Youhua Li|Xiangnan He|Yongfeng Zhang|Fajie Yuan
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi dblp
AMBER: Adaptive Meta Balanced Paradigm for Heterogeneous Graph-Based Knowledge Tracing.
Lifan Sun|Zichen Yuan|Ersheng Ni|Weihua Cheng|Xinyuan Song|Linkun Dai|Hongwei Jiang|Sibo Xu|Mengmeng Chen|Yucen Zhuang|Yongxin Ni|Youhua Li
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi dblp
Frequency-Decoupled Distillation for Efficient Multimodal Recommendation.
Ziyi Zhuang|Hongji Li|Junchen Fu|Jiacheng Liu|Joemon M. Jose|Youhua Li|Yongxin Ni
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
doi dblp
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
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
doi dblp
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
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2023

doi dblp
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