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Zhe Fu

Orcid: 0000-0002-3097-8451

Affiliations:
  • Renmin University of China (RUC), Beijing, China
  • University of North Carolina at Charlotte, Department of Software and Information Systems, Charlotte, NC, USA (former, PhD 2025)


According to our database1, Zhe Fu authored at least 16 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
From Interaction to Prediction: A Multi-Interactive Attention-Based Approach to Product Rating Prediction.
[BibTeX]
[DOI]
Li Yu
,
Wei Gong
,
Dongsong Zhang
,
Yu Ding
,
Zhe Fu
INFORMS J. Comput., 2026

Digital Voices of Survival: From Social Media Disclosures to Support Provisions for Domestic Violence Victims.
[BibTeX]
[DOI]
Kanlun Wang
,
Zhe Fu
,
Wangjiaxuan Xin
,
Lina Zhou
,
Shashi Kiran Chandrappa
Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

2025
A Deep Learning Model for Cross-Domain Serendipity Recommendations.
[BibTeX]
[DOI]
Zhe Fu
,
Xi Niu
,
Xiangcheng Wu
,
Ruhani Rahman
Trans. Recomm. Syst., September, 2025

Stylometric characteristics of code-switched offensive language in social media.
[BibTeX]
[DOI]
Lina Zhou
,
Zhe Fu
Inf. Manag., 2025

Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation.
[BibTeX]
[DOI]
Farsheed Haque
,
Zhe Fu
,
Depeng Xu
,
Shuhan Yuan
,
Xi Niu
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Modeling Users' Curiosity in Recommender Systems.
[BibTeX]
[DOI]
Zhe Fu
,
Xi Niu
ACM Trans. Knowl. Discov. Data, January, 2024

Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives.
[BibTeX]
[DOI]
Zhe Fu
,
Xi Niu
,
Mary Lou Maher
ACM Comput. Surv., January, 2024

Let Community Rules Be Reflected in Online Content Moderation.
[BibTeX]
[DOI]
Wangjiaxuan Xin
,
Kanlun Wang
,
Zhe Fu
,
Lina Zhou
CoRR, 2024

Detecting Misinformation in Multimedia Content through Cross-Modal Entity Consistency: A Dual Learning Approach.
[BibTeX]
[DOI]
Zhe Fu
,
Kanlun Wang
,
Wangjiaxuan Xin
,
Lina Zhou
,
Shi Chen
,
Yaorong Ge
,
Daniel Janies
,
Dongsong Zhang
Proceedings of the 28th Pacific Asia Conference on Information Systems, 2024

The Art of Asking: Prompting Large Language Models for Serendipity Recommendations.
[BibTeX]
[DOI]
Zhe Fu
,
Xi Niu
Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024

Predicting Sales Lift of Influencer-generated Short Video Advertisements: A Ladder Attention-based Multimodal Time Series Forecasting Framework.
[BibTeX]
[DOI]
Zhe Fu
,
Kanlun Wang
,
Jianfei Wang
,
Yunqin Zhu
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
Wisdom of Crowds and Fine-Grained Learning for Serendipity Recommendations.
[BibTeX]
[DOI]
Zhe Fu
,
Xi Niu
,
Li Yu
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems.
[BibTeX]
[DOI]
Xi Niu
,
Ruhani Rahman
,
Xiangcheng Wu
,
Zhe Fu
,
Depeng Xu
,
Riyi Qiu
Proceedings of the IEEE International Conference on Big Data, 2023

How Does User Engagement Support Content Moderation? A Deep Learning-based Comparative Study.
[BibTeX]
[DOI]
Kanlun Wang
,
Zhe Fu
,
Lina Zhou
,
Dongsong Zhang
Proceedings of the 29th Americas Conference on Information Systems, 2023

2022
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction.
[BibTeX]
[DOI]
Zhe Fu
,
Li Yu
,
Xi Niu
ACM Trans. Knowl. Discov. Data, 2022

2021
CE-DIFF: An Approach to Identifying and Coping with Irregular Ratings in Collaborative Decision Making.
[BibTeX]
[DOI]
Li Yu
,
Dongsong Zhang
,
Zhe Fu
Decis. Sci., 2021


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