Yuhan Zhao

According to our database, Yuhan Zhao authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Investigating User-Side Fairness in Outcome and Process for Multi-Type Sensitive Attributes in Recommendations.

Weixin Chen, Li Chen, Yuhan Zhao

Trans. Recomm. Syst., June, 2026

The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation.

Yuhan Zhao, Weixin Chen, Li Chen, Weike Pan

Proceedings of the ACM Web Conference 2026, 2026

Post-Training Fairness Control: A Single-Train Framework for Dynamic Fairness in Recommendation.

Weixin Chen, Li Chen, Yuhan Zhao

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

2025

Denoising and Augmented Negative Sampling for Collaborative Filtering.

Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen

Trans. Recomm. Syst., December, 2025

Causality-Inspired Fair Representation Learning for Multimodal Recommendation.

Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao

ACM Trans. Inf. Syst., November, 2025

HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection.

Anran Zhang, Xingfen Wang, Yuhan Zhao

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems.

Li Kang, Yuhan Zhao, Li Chen

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users.

Weixin Chen, Yuhan Zhao, Li Chen, Weike Pan

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking.

Yuhan Zhao, Rui Chen, Li Chen, Shuang Zhang, Qilong Han, Hongtao Song

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data.

Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, Li Chen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

FMMRec: Fairness-aware Multimodal Recommendation.

Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang

CoRR, 2023

Disentangled Negative Sampling for Collaborative Filtering.

Riwei Lai, Li Chen, Yuhan Zhao, Rui Chen, Qilong Han

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Augmented Negative Sampling for Collaborative Filtering.

Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023