News
July 2025
One full paper is accepted by RecSys2025, about heterogeneous user modeling for LLM-based recommendation.
May 2025
One full paper is accepted by KDD2025, about register token-based efficient LLM-based recommendation.
April 2025
One full paper is accepted by SIGIR2025, about set identifier for LLM-based recommendation.
Jan 2025
One full paper is accepted by ICLR 2025, about effcient inference for LLM-based recommendation.
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Xinyu Lin
2nd-year Ph.D Student
NExT++
Computing 1, Computing Drive, Singapore 117417
Email: xylin1028 AT gmail.com
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I am a 2nd-year Ph.D student, supervised by Prof. Tat-Seng Chua in National University of Singapore. I obtained my M.Sc. degree from NUS in 2023, also supervised by Prof. Chua. Prior to that, I received my B.Eng. degree from Shandong University in 2021. My research interests include information retrieval, recommender system, and the intersection of LLMs with recommender system.
Education
| National University of Singapore (NUS) M.Sc in Data Science and Machine Learning, 2021 - 2023, Singapore Advisor: Prof. Tat-Seng Chua Mentors: Prof. Wenjie Wang and Prof. Fuli Feng |
| Shandong University (SDU) Bachelor in Control Science and Engineering, 2017 - 2021, Jinan Mentors: Prof. Wei Zhang and Prof. Shuaishuai Guo |
Tutorials, Surveys, and Workshops
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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 arXiv |
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Large Language Models for Recommendation: Progresses and Future Directions
Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng SIGIR 2024 Slides |
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The 1st Workshop on Recommendation with Generative Models
Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He WWW 2025 Website |
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The 2nd Workshop on Recommendation with Generative Models
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Yong Liu, Weiwen Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He WWW 2024 Website |
Publications Google Scholar
*Corresponding Author In the Year of 2025: |
Order-agnostic Identifier for Large Language Model-based Generative Recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua SIGIR 2025 |
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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 ICLR 2025 |
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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 KDD 2024 |
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Data-efficient Fine-tuning for LLM-based Recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua SIGIR 2024 |
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Learnable Tokenizer for LLM-based Generative Recommendation
Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua CIKM 2024 |
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Generative Recommendation: Towards Next-generation Recommender Paradigm
Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua |
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Temporally and Distributionally Robust Optimization for Cold-start Recommendation
Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua AAAI 2024 |
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Popularity-aware Distributionally Robust Optimization for Recommendation System
Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua CIKM 2023 |
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Equivariant Learning for Out-of-Distribution Cold-start Recommendation
Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua ACMMM 2023 (Oral) |
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Diffusion Recommender Model
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua SIGIR 2023 (Full) |
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Causal Disentangled Recommendation Against User Preference Shifts
Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua TOIS 2023 (Full) |
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Mitigating Spurious Correlations for Self-supervised Recommendation
Xinyu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng MIR 2023 (Full) |
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Causal Representation Learning for Out-of-Distribution Recommendation
Wenjie Wang, Xinyu Lin, Fuli Feng*, Xiangnan He, Min Lin, Tat-Seng Chua WWW 2022 (Full, Accept rate: 17.7%) Codes |
Honors
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Research Achievement Award, 2025
- School of Computing, National University of Singapore |
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Best Presentation Award at ACM SIGKDD Singapore Symposium 2024 |
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National Scholarship, Dec 2020
- Shandong University, China |
| 4th/81 Prize at 2nd ABC International Conference Cooking Activity Recognition Challenge Aug. 2020 |
| 2nd Prize at The 15th National University Students Intelligent Car Race Sept. 2020 |
Professional Services
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Co-organizer of WWW'25 Workshop on Pesonalized Intelligence with Generative AI Co-organizer of SIGIR'24 Tutorial on LLMs for Recommendation Co-organizer of WWW'24 Workshop on Generative Recommendation PC Member: SIGIR'25, WWW'25, AAAI'25, RecSys'24, KDD'24, AAAI'24 Reviewer for TOIS, TKDE, TCSVT, TIST |
Teaching Assistants
| CS5344 Big-Data Analytics Technology Teaching Assistant 2024/2025 semester 2 |
| CS4242 Social Media Computing Teaching Assistant 2024/2025 Semester 2 |
| CS4242 Social Media Computing Teaching Assistant 2023/2024 Semester 2 |
Last update: May, 2025. Webpage template borrows from Prof. Xiangnan He.