In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Weiming Liu 005; Jun Wang 020; Wenjie Cheng; Yuyuan Li (ACM Multimedia, 2023)

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. - Zhongxuan Han; Xiaolin Zheng; Chaochao Chen 001; Wenjie Cheng; Yang Yao (WWW, 2023)

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Meng Li; Weiming Liu 005; Binhui Yao; Yuyuan Li; Jianwei Yin (AAAI, 2024)

One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment. - Chaochao Chen 001; Jiaming Zhang 009; Yuyuan Li; Zhongxuan Han (ICML, 2024)

Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Li Zhang; Yuyuan Li (SIGIR, 2024)

PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN. - Fei Zheng; Chaochao Chen 001; Zhongxuan Han; Xiaolin Zheng (CoRR, 2024)

WassFFed: Wasserstein Fair Federated Learning. - Zhongxuan Han; Li Zhang; Chaochao Chen 001; Xiaolin Zheng; Fei Zheng; Yuyuan Li; Jianwei Yin (CoRR, 2024)

Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems. - Xiaolin Zheng; Rui Wu; Zhongxuan Han; Chaochao Chen 001; Linxun Chen; Bing Han 017 (ACM Trans. Web, 2024)

LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning. - Li Zhang; Chaochao Chen; Zhongxuan Han; Qiyong Zhong; Xiaolin Zheng (AAAI, 2025)

Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li; Junjie Fang; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han (CoRR, 2025)

Reproducibility Companion Paper:In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Yixiu Liu; Zehui He; Yuyuan Li; Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng (CoRR, 2025)

FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning. - Li Zhang; Zhongxuan Han; Chaochao chen; Xiaohua Feng; Jiaming Zhang 001; Yuyuan Li (CoRR, 2025)