News
Jan 2024
One full paper is accepted by WWW'24!
Oct 2023
Two full paper (oral presentation) are accepted by WSDM'24!
Aug 2023
One long paper is accepted by CIKM'23!
Jun 2023
Graduated from Wuhan University with Honor!
Apr 2023
Two full papers are accepted by SIGIR'23!
Mar 2023
Awarded the HKPF and HKU-PS! Thanks all!
Jan 2023
One paper is accepted by ICLR'23!
Dec 2022
One paper is accepted by ACM TOIS!
Oct 2022
Awarded the National Scholarship for the fourth time! Thanks all!
Sep 2022
Awarded the CCF Elite Collegiate Award! Thanks all!
May 2022
Awarded the Finalist Winner in Mathematical Contest in Modeling (MCM)! Thanks all!
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Ph.D. Student
Institute of Data Science
Email: xubinrencs AT gmail.com
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I am currently a first-year Ph.D. student at the Institute of Data Science in The University of Hong Kong, under the guidance of Prof. Chao Huang and Prof. Kao, Benjamin C.M.. My research focuses on graph neural networks, language models, and information retrieval.
Prior to this, I conducted research on data mining at the IIP Lab, advised by Prof. Zhenzhong Chen. I received my B.Eng. degree from Wuhan University. Additionally, I collaborate closely with Dr. Lixin Su from the Baidu Search Science Team.
Education
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The University of Hong Kong (HKU) Ph.D. in Data Science September 2023 - Current, Hong Kong SAR Advisor: Prof. Chao Huang & Prof. Kao, Benjamin C.M. |
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Wuhan University (WHU) Bachelor in Computer Science and Techonology September 2018 - June 2023, Wuhan Advisor: Prof. Zhenzhong Chen |
Open-Source Projects
 [paper] [code] |
SSLRec is a PyTorch-based open-source deep learning framework for recommender systems enhanced by self-supervised learning techniques.
  
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Experiences
| Research Intern, Baidu Inc, Search Science Team, June 2023 - August 2023 Mentor: Dr. Lixin Su Director: Dawei Yin |
| Research Intern, Data Intelligence Lab, The University of Hong Kong, June 2022 - June 2023 Advisior: Prof. Chao Huang |
| Research Intern, IIP Lab, Wuhan University, June 2021 - June 2022 Advisior: Prof. Zhenzhong Chen |
Publications [Google Scholar]
*Corresponding author
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Representation Learning with Large Language Models for Recommendation
Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang* WWW 2024 (full paper) |
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SSLRec: A Self-Supervised Learning Framework for Recommendation
Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai and Chao Huang* WSDM 2024 (full paper, oral) |
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LLMRec: Large Language Models with Graph Augmentation for Recommendation
Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Chen, Junfen Wang, Dawei Yin and Chao Huang* WSDM 2024 (full paper, oral) |
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How Expressive are Graph Neural Networks in Recommendation?
Xuheng Cai, Lianghao Xia, Xubin Ren and Chao Huang* CIKM 2023 (long paper) |
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Disentangled Contrastive Collaborative Filtering
Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin and Chao Huang* SIGIR 2023 (full paper) |
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Graph Transformer for Recommendation
Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu and Chao Huang* SIGIR 2023 (full paper) |
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LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai, Chao Huang*, Lianghao Xia and Xubin Ren ICLR 2023 (spotlight) |
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Multi-Auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation
Jing Yi, Xubin Ren and Zhenzhong Chen* ACM TOIS 2023 |
Honors & Awards
| Hong Kong PhD Fellowship 2023 |
| HKU Presidential PhD Scholarship 2023 |
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National Scholarship
- Four times (2019, 2020, 2021, 2022) - Top 0.2% Nationwide, China |
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CCF (China Computer Federation) Elite Collegiate Award 2022
- Only 102 Students Nationwide |
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Finalist Winner in Mathematical Contest in Modeling (MCM) 2022
- Top 2% Globalwide |
| Pexpertmaker to Merit Student of Wuhan University 2022 |
Services
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Program Committee Members: WWW 2024
Invited Conference Reviewer: CIKM 2023, RecSys 2023 |
Last update: Oct, 2023. Webpage template borrows from Prof. Xiangnan He.