Weixin Chen  Ph.D. Student HCI-RecSys Group Department of Computer Science Faculty of Science, Hong Kong Baptist University Kowloon Tong, Hong Kong SAR [Google Scholar] [Github] [Twitter] [LinkedIn] E-mail: [email protected] or [email protected] Address: DLB 625, Level 6, David C. Lam Building, Shaw Campus, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR

Recent News

• [2025.03] One paper is accepted by TORS 2025.
• [2022.09] Start my PhD journey @ HKBU COMP.

About Me

I am currently a third-year Ph.D. student at HCI-RecSys Group in the Department of Computer Science, Hong Kong Baptist University, advised by Prof. Li Chen. Before that, I received my B.Eng. degree from Shenzhen University in 2020.

My current research focuses on user-side fairness (a.k.a. consumer fairness) in recommendation.

Education

• Ph.D. student, 2022.09 - 2026.08 (expected)
  Department of Computer Science, Faculty of Science
  Hong Kong Baptist University (HKBU), Hong Kong

• B.Eng., 2016.09 - 2020.06
  College of Computer Science & Software Engineering
  Shenzhen University (SZU), Shenzhen, China

Publication

(* indicates equal contribution)

Published Paper

• W. Chen, Y. Zhao, L. Chen.
  Investigating User-Side Fairness in Outcome and Process for Multi-Type Sensitive Attributes in Recommendations.
  In ACM Transactions on Recommender Systems (TORS), 2025 (just accepted).
  
[PDF] [BibTeX]

@article{chen2025investigating,
title        = {Investigating User-side fairness in outcome and process for multi-type sensitive attributes in recommendations},
author       = {Chen, Weixin and Chen, Li and Zhao, Yuhan},
year         = 2025,
journal    = {ACM Transactions on Recommender Systems},
}
        

• W. Chen, M. He, Y. Ni, W. Pan, Z. Ming, L. Chen.
  Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions.
  In ACM Conference on Recommender Systems (RecSys 2022), Seattle, 2022.
  [PDF] [BibTeX]

  @inproceedings{chen2022global,
    title        = {Global and personalized graphs for heterogeneous sequential recommendation by learning behavior transitions and user intentions},
    author       = {Chen, Weixin and He, Mingkai and Ni, Yongxin and Pan, Weike and Chen, Li and Ming, Zhong},
    year         = 2022,
    booktitle    = {Proceedings of the 16th ACM Conference on Recommender Systems (RecSys'22)},
    pages        = {268--277}
  }
              

Working Preprint

• W. Chen*, Y. Zhao*, L. Chen, W. Pan.
  Leave No One Behind: Fairness-aware Cross-domain Recommendation for Non-overlapping Users.
  
• W. Chen, L. Chen, Y. Zhao.
  Fairness on the Fly: Controllable Fairness for Recommender Systems without Retraining.
  
• W. Chen, L. Chen, Y. Ni, Y. Zhao.
  Causality-Inspired Fair Representation Learning for Multimodal Recommendation.
  
In arXiv, 2023.
[PDF] [BibTeX]

@misc{chen2023causality,
  title        = {Causality-Inspired Fair Representation Learning for Multimodal Recommendation},
  author       = {Chen, Weixin and Chen, Li and Ni, Yongxin and Zhao, Yuhan},
  year         = 2023,
  eprint       = {2310.17373},
  archivePrefix={arXiv},
}
      

• R. Lai, L. Chen, W. Chen, R. Chen.
  Matryoshka Representation Learning for Recommendation.
  
In arXiv, 2024.
[PDF] [BibTeX]

@misc{lai2024matryoshka,
  title        = {Matryoshka representation learning for recommendation},
  author       = {Lai, Riwei and Chen, Li and Chen, Weixin and Chen, Rui},
  year         = 2024,
  eprint       = {2406.07432},
  archivePrefix={arXiv},
}
        

Honors & Award

• (Excellent) Teaching Assistant Performance Award, HKBU (2023, 2024)
• Star of SZU (荔园之星), SZU (2017)
• University Scholarship, SZU (2017, 2018, 2019)

Teaching

(Assistance in following courses)

• COMP7250(PG): Data Security and Privacy, Fall (2025)

• COMP7240(PG): Recommender Systems, Fall (2023, 2024)

• COMP3005(UG): Design and Analysis of Algorithms, Spring (2023, 2024)

• COMP4135(UG): Recommender Systems and Applications, Fall (2023, 2024)

• COMP4127(UG): Information Security, Fall (2025)

Academic Service

• Conference Reviewer: WWW.
• Journal Reviewer: TiiS, JiiS.