Weixin Chen

@article{chen2026memrec,
  title   = {MemRec: Collaborative Memory-Augmented Agentic Recommender System},
  author  = {Chen, Weixin and Zhao, Yuhan and Huang, Jingyuan and Ye, Zihe and Ju, Clark Mingxuan and Zhao, Tong and Shah, Neil and Chen, Li and Zhang, Yongfeng},
  year    = 2026,
  journal = {arXiv preprint arXiv:2601.08816},
  url     = {https://arxiv.org/abs/2601.08816}
}

@inproceedings{zhao2026double,
  title     = {The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation},
  author    = {Zhao, Yuhan and Chen, Weixin and Chen, Li and Pan, Weike},
  year      = 2026,
  booktitle = {Proceedings of the ACM Web Conference 2026 (WWW '26)}
}

@inproceedings{chen2026posttraining,
  title     = {Post-Training Fairness Control: A Single-Train Framework for Dynamic Fairness in Recommendation},
  author    = {Chen, Weixin and Chen, Li and Zhao, Yuhan},
  year      = 2026,
  booktitle = {Companion Proceedings of the ACM Web Conference}
}

@inproceedings{chen2025leave,
  title     = {Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users},
  author    = {Chen, Weixin and Zhao, Yuhan and Chen, Li and Pan, Weike},
  year      = 2025,
  booktitle = {Proceedings of the 19th ACM Conference on Recommender Systems (RecSys'25)},
  pages     = {226--236}
}

@article{chen2025causality,
  title     = {Causality-Inspired Fair Representation Learning for Multimodal Recommendation},
  author    = {Chen, Weixin and Chen, Li and Ni, Yongxin and Zhao, Yuhan},
  year      = 2025,
  journal   = {ACM Transactions on Information Systems},
  volume    = {43},
  number    = {6},
  articleno = {153},
  numpages  = {29}
}

@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},
  volume    = {4},
  number    = {2},
  articleno = {25},
  numpages  = {29}
}

@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}
}

@article{lai2026matryoshka,
  title   = {Matryoshka Representation Learning for Recommendation with Layer- and Hardness-Adaptive Negative Sampling},
  author  = {Lai, Riwei and Chen, Li and Chen, Weixin and Chen, Rui},
  year    = 2026,
  journal = {ACM Transactions on Intelligent Systems and Technology},
}