Xinyang Yi

2.4k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Xinyang Yi is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xinyang Yi has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 11 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xinyang Yi's work include Recommender Systems and Techniques (13 papers), Topic Modeling (8 papers) and Advanced Bandit Algorithms Research (8 papers). Xinyang Yi is often cited by papers focused on Recommender Systems and Techniques (13 papers), Topic Modeling (8 papers) and Advanced Bandit Algorithms Research (8 papers). Xinyang Yi collaborates with scholars based in United States, China and Canada. Xinyang Yi's co-authors include Ed H., Lichan Hong, Zhe Zhao, Jilin Chen, Jiaqi Ma, Derek Zhiyuan Cheng, Tiansheng Yao, Wei Li, Ji Yang and Maheswaran Sathiamoorthy and has published in prestigious journals such as Small, arXiv (Cornell University) and Proceedings of the ACM Web Conference 2022.

In The Last Decade

Xinyang Yi

18 papers receiving 1.3k 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.

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

2018 591 citations Jiaqi Ma, Zhe Zhao et al. profile →

Peers

Countries citing papers authored by Xinyang Yi

Since Specialization

Citations

This map shows the geographic impact of Xinyang Yi'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 Xinyang Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyang Yi more than expected).

Fields of papers citing papers by Xinyang Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinyang Yi. 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 Xinyang Yi. The network helps show where Xinyang Yi may publish in the future.

Co-authorship network of co-authors of Xinyang Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyang Yi. A scholar is included among the top collaborators of Xinyang Yi 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 Xinyang Yi. Xinyang Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

#	Work	Indexed citations
1	Leveraging LLM Reasoning Enhances Personalized Recommender Systems 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Zemin Zhang, Lichan Hong, Ed H., Xinyang Yi	1
2	Aligning Large Language Models with Recommendation Knowledge 2024 ·(unknown), Nikhil Mehta, Xinyang Yi, Raghunandan H. Keshavan, Lukasz Heldt, Lichan Hong, Ed H., Maheswaran Sathiamoorthy	3
3	Magnetic/Acoustic Dual‐Controlled Microrobot Overcoming Oto‐Biological Barrier for On‐Demand Multidrug Delivery against Hearing Loss 2024 ·Small ·Xinyang Yi, (unknown), Qi Zeng, (unknown), (unknown), Chu Wang, (unknown), Ming Zhang, Huaan Li, Lu Wen, Gang Chen	8
4	Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN) 2023 ·(unknown), (unknown), Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H.	9
5	Online Matching: A Real-time Bandit System for Large-scale Recommendations 2023 ·Xinyang Yi, (unknown), (unknown), H. Chandrasekaran, (unknown), Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H.	6
6	Improving Training Stability for Multitask Ranking Models in Recommender Systems 2023 ·Jiaxi Tang, Yoel Drori, (unknown), Maheswaran Sathiamoorthy, Justin Gilmer, (unknown), Xinyang Yi, Lichan Hong, Ed H.	4
7	Distributionally-robust Recommendations for Improving Worst-case User Experience 2022 ·Proceedings of the ACM Web Conference 2022 ·Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H.	27
8	A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation 2021 ·Yin Zhang⋆, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H.	60
9	Learning to Embed Categorical Features without Embedding Tables for Recommendation 2021 ·Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H.	32
10	Self-supervised Learning for Large-scale Item Recommendations 2021 ·Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H., (unknown), (unknown), (unknown)	135
11	Self-supervised Learning for Deep Models in Recommendations. 2020 ·arXiv (Cornell University) ·Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H., (unknown), (unknown), (unknown)	20
12	End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms 2020 ·Jyun‐Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed H., Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang	4
13	Off-policy Learning in Two-stage Recommender Systems 2020 ·Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H.	47
14	Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems 2020 ·Wang-Cheng Kang, Derek Zhiyuan Cheng, Ting Chen, Xinyang Yi, Dong Lin, Lichan Hong, Ed H.	21
15	Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations 2020 ·Ji Yang, Xinyang Yi, Derek Zhiyuan Cheng, Lichan Hong, Yang Li, (unknown), (unknown), Ed H.	64
16	Recommending what video to watch next 2019 ·Zhe Zhao, Lichan Hong, Wei Li, Jilin Chen, Aniruddh Nath, Shawn Andrews, (unknown), Maheswaran Sathiamoorthy, Xinyang Yi, Ed H.	174
17	Sampling-bias-corrected neural modeling for large corpus item recommendations 2019 ·Xinyang Yi, Ji Yang, Lichan Hong, Derek Zhiyuan Cheng, Lukasz Heldt, (unknown), Zhe Zhao, Wei Li, Ed H.	111
18	Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts breakdown → 2018 ·Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H.	591

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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