Xinyu Lin

According to our database, Xinyu Lin authored at least 24 papers between 2022 and 2025.

Collaborative distances:

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

2025

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning.

Wuqiang Zheng, Yiyan Xu, Xinyu Lin, Chongming Gao, Wenjie Wang, Fuli Feng

CoRR, August, 2025

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens.

Chaoqun Yang, Xinyu Lin, Wenjie Wang, Yongqi Li, Teng Sun, Xianjing Han, Tat-Seng Chua

CoRR, July, 2025

R²ec: Towards Large Recommender Models with Reasoning.

Runyang You, Yongqi Li, Xinyu Lin, Xin Zhang, Wenjie Wang, Wenjie Li, Liqiang Nie

CoRR, May, 2025

The 3rd Workshop on Personal Intelligence with Generative AI.

Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Generative Recommendation: Towards Personalized Multimodal Content Generation.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Order-agnostic Identifier for Large Language Model-based Generative Recommendation.

Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment.

Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation.

Zheqi Lv, Tianyu Zhan, Wenjie Wang, Xinyu Lin, Shengyu Zhang, Wenqiao Zhang, Jiwei Li, Kun Kuang, Fei Wu

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

Efficient Inference for Large Language Model-based Generative Recommendation.

Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Causal Disentangled Recommendation against User Preference Shifts.

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua

ACM Trans. Inf. Syst., January, 2024

A Survey of Generative Search and Recommendation in the Era of Large Language Models.

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua

CoRR, 2024

The 2nd Workshop on Recommendation with Generative Models.

Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Data-efficient Fine-tuning for LLM-based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Large Language Models for Recommendation: Past, Present, and Future.

Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

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

Learnable Item Tokenization for Generative Recommendation.

Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation.

Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mitigating Spurious Correlations for Self-supervised Recommendation.

Xinyu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng

Mach. Intell. Res., April, 2023

A Multi-facet Paradigm to Bridge Large Language Model and Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2023

Generative Recommendation: Towards Next-generation Recommender Paradigm.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, 2023

Diffusion Recommender Model.

Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Equivariant Learning for Out-of-Distribution Cold-start Recommendation.

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Popularity-aware Distributionally Robust Optimization for Recommendation System.

Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Causal Representation Learning for Out-of-Distribution Recommendation.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022