Zhongxuan Han

According to our database, Zhongxuan Han authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning.

Li Zhang, Zhongxuan Han, Chaochao chen, Xiaohua Feng, Jiaming Zhang, Yuyuan Li

CoRR, June, 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, Xiaolin Zheng

CoRR, March, 2025

Reproducibility Companion Paper: Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems.

Yuyuan Li, Junjie Fang, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han

CoRR, March, 2025

LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning.

Li Zhang, Chaochao Chen, Zhongxuan Han, Qiyong Zhong, Xiaolin Zheng

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Heterogeneous Information Crossing on Graphs for Session-Based Recommender Systems.

Xiaolin Zheng, Rui Wu, Zhongxuan Han, Chaochao Chen, Linxun Chen, Bing Han

ACM Trans. Web, May, 2024

WassFFed: Wasserstein Fair Federated Learning.

Zhongxuan Han, Li Zhang, Chaochao Chen, Xiaolin Zheng, Fei Zheng, Yuyuan Li, Jianwei Yin

CoRR, 2024

PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN.

Fei Zheng, Chaochao Chen, Zhongxuan Han, Xiaolin Zheng

CoRR, 2024

Hypergraph Convolutional Network for User-Oriented Fairness in Recommender Systems.

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Li Zhang, Yuyuan Li

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment.

Chaochao Chen, Jiaming Zhang, Yuyuan Li, Zhongxuan Han

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems.

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu, Binhui Yao, Yuyuan Li, Jianwei Yin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation.

Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao

Proceedings of the ACM Web Conference 2023, 2023

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems.

Yuyuan Li, Chaochao Chen, Xiaolin Zheng, Yizhao Zhang, Zhongxuan Han, Dan Meng, Jun Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems.

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Weiming Liu, Jun Wang, Wenjie Cheng, Yuyuan Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023