Kairui Fu

According to our database, Kairui Fu authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Semantic Trimming and Auxiliary Multi-step Prediction for Generative Recommendation.

Tianyu Zhan, Kairui Fu, Chengfei Lv, Zheqi Lv, Shengyu Zhang

CoRR, April, 2026

RankGR: Rank-Enhanced Generative Retrieval with Listwise Direct Preference Optimization in Recommendation.

Kairui Fu, Changfa Wu, Kun Yuan, Binbin Cao, Dunxian Huang, Yuliang Yan, Junjun Zheng, Jianning Zhang, Silu Zhou, Jian Wu, Kun Kuang

CoRR, February, 2026

MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation.

Qihang Yu, Kairui Fu, Zhaocheng Du, Yuxuan Si, Kaiyuan Li, Weihao Zhao, Zhicheng Zhang, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Shengyu Zhang, Kun Kuang, Fei Wu

CoRR, January, 2026

RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic Identifiers.

Tianyu Zhan, Kairui Fu, Zheqi Lv, Shengyu Zhang

Proceedings of the ACM Web Conference 2026, 2026

ThinkRec: Thinking-based recommendation via LLM.

Qihang Yu, Kairui Fu, Zheqi Lv, Shengyu Zhang, Xinhui Wu, Chen Lin, Feng Wei, Bo Zheng, Fei Wu

Proceedings of the ACM Web Conference 2026, 2026

PI2I: A Personalized Item-Based Collaborative Filtering Retrieval Framework.

Shaoqing Wang, Yingcai Ma, Kairui Fu, Ziyang Wang, Dunxian Huang, Yuliang Yan, Jian Wu

Proceedings of the ACM Web Conference 2026, 2026

2025

FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets.

Kairui Fu, Tao Zhang, Shuwen Xiao, Ziyang Wang, Xinming Zhang, Chenchi Zhang, Yuliang Yan, Junjun Zheng, Yu Li, Zhihong Chen, Jian Wu, Xiangheng Kong, Shengyu Zhang, Kun Kuang, Yu-Gang Jiang, Bo Zheng

CoRR, September, 2025

ThinkRec: Thinking-based recommendation via LLM.

Qihang Yu, Kairui Fu, Shengyu Zhang, Zheqi Lv, Fan Wu, Fei Wu

CoRR, May, 2025

Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing.

Zheqi Lv, Wenqiao Zhang, Kairui Fu, Qi Tian, Shengyu Zhang, Jiajie Su, Jingyuan Chen, Kun Kuang, Fei Wu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration.

Tianqi Liu, Kairui Fu, Shengyu Zhang, Wenyan Fan, Zhaocheng Du, Jieming Zhu, Fan Wu, Fei Wu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation.

Kairui Fu, Zheqi Lv, Shengyu Zhang, Fan Wu, Kun Kuang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities.

Kunxi Li, Tianyu Zhan, Kairui Fu, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fan Wu, Fei Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation.

Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

End-to-End Optimization of Quantization-Based Structure Learning and Interventional Next-Item Recommendation.

Kairui Fu, Qiaowei Miao, Shengyu Zhang, Kun Kuang, Fei Wu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023