Xinyu Lin

548 total citations · 2 hit papers
17 papers, 276 citations indexed

About

Xinyu Lin is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xinyu Lin has authored 17 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 13 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xinyu Lin's work include Recommender Systems and Techniques (15 papers), Topic Modeling (11 papers) and Machine Learning in Healthcare (4 papers). Xinyu Lin is often cited by papers focused on Recommender Systems and Techniques (15 papers), Topic Modeling (11 papers) and Machine Learning in Healthcare (4 papers). Xinyu Lin collaborates with scholars based in China, Singapore and Hong Kong. Xinyu Lin's co-authors include Wenjie Wang, Fuli Feng, Tat‐Seng Chua, Xiangnan He, Yongqi Li, Yinwei Wei, Shuo Yang, See-Kiong Ng, Jizhi Zhang and Liuhui Wang and has published in prestigious journals such as Applied Catalysis B: Environmental, ACM Transactions on Information Systems and Journal of Communications and Information Networks.

In The Last Decade

Xinyu Lin

12 papers receiving 273 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diffusion Recommender Model

2023 97 citations Wenjie Wang, Fuli Feng et al. profile →
Data-efficient Fine-tuning for LLM-based Recommendation

2024 46 citations Xinyu Lin, Wenjie Wang et al. profile →

Peers

Countries citing papers authored by Xinyu Lin

Since Specialization

Citations

This map shows the geographic impact of Xinyu Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xinyu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyu Lin more than expected).

Fields of papers citing papers by Xinyu Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinyu Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xinyu Lin. The network helps show where Xinyu Lin may publish in the future.

Co-authorship network of co-authors of Xinyu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Lin. A scholar is included among the top collaborators of Xinyu Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinyu Lin. Xinyu Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	DF-RL: A Dynamic Fuzzy-Neuro Reinforcement Learning Framework for Cloud Resource Management 2025 ·Journal of Communications and Information Networks ·(unknown), Xinyu Lin	0
2	EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens 2025 ·(unknown), Xinyu Lin, Wenjie Wang, Yongqi Li, (unknown), Xianjing Han, Tat‐Seng Chua	0
3	Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment 2025 ·Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng	0
4	Ultrafast solar dehalogenation of aromatic halides in water via diradical transformation in organic semiconductors 2025 ·Applied Catalysis B: Environmental ·Yiying Zhou, Yunlei Zhang, (unknown), Pengwei Huo, Zhigang Zhu, Yanjun Gong, Fan Zhang, (unknown), Xinyu Lin, Yan Yan, (unknown)	1
5	Heterogeneous User Modeling for LLM-based Recommendation 2025 ·(unknown), Wenjie Wang, Xinyu Lin, Fengbin Zhu, (unknown), Fuli Feng, Tat‐Seng Chua	0
6	Generative Recommendation: Towards Personalized Multimodal Content Generation 2025 ·Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat‐Seng Chua	0
7	Order-agnostic Identifier for Large Language Model-based Generative Recommendation 2025 ·Xinyu Lin, (unknown), Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat‐Seng Chua	3
8	Data-efficient Fine-tuning for LLM-based Recommendation breakdown → 2024 ·Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat‐Seng Chua	46
9	Learnable Item Tokenization for Generative Recommendation 2024 ·Wenjie Wang, (unknown), Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat‐Seng Chua	16
10	Large Language Models for Recommendation: Past, Present, and Future 2024 ·Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng	4
11	Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation 2024 ·Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat‐Seng Chua	14
12	Popularity-aware Distributionally Robust Optimization for Recommendation System 2023 ·(unknown), Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat‐Seng Chua	8
13	Mitigating Spurious Correlations for Self-supervised Recommendation 2023 ·Xinyu Lin, (unknown), Wenjie Wang, Yang Zhang, Fuli Feng	5
14	Diffusion Recommender Model breakdown → 2023 ·Wenjie Wang, (unknown), Fuli Feng, Xinyu Lin, Xiangnan He, Tat‐Seng Chua	97
15	Equivariant Learning for Out-of-Distribution Cold-start Recommendation 2023 ·Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat‐Seng Chua	9
16	Causal Disentangled Recommendation against User Preference Shifts 2023 ·ACM Transactions on Information Systems ·Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat‐Seng Chua	9
17	Causal Representation Learning for Out-of-Distribution Recommendation 2022 ·Proceedings of the ACM Web Conference 2022 ·Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, (unknown), Tat‐Seng Chua	64

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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