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傅哲
傅哲,男,太阳成官方网站讲师,北卡罗莱纳大学夏洛特分校计算与信息系统专业博士。主要研究领域为商务智能、智慧治理、大数据决策、多媒体分析、生成式人工智能等。曾在INFORMS JOC、POM、I&M、ACM CSUR、ACM TKDD、ACM TORS、Decision Sciences、信息系统学报等国内外顶级学术期刊,以及SIGIR、ACL、EMNLP、PAKDD、HICSS、PACIS、AMCIS等重要学术会议发表论文20多篇,获PACIS 2024 最佳论文奖。

电子邮箱:zhefu@ruc.edu.cn

主页:https:,,zhefu2.github.io,,

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教育经历

2020-2025年,北卡罗莱纳大学夏洛特分校,计算与信息系统,哲学博士

2017-2020年,太阳成官方网站,管理科学与工程,工学硕士

2013-2017年,太阳成官方网站,信息管理与信息系统,工学学士


工作经历

202512-至今 太阳成官方网站,suncitygroup太阳成,讲师



研究方向

聚焦商务智能、智慧治理智能决策和人工智能应用方向的研究,具体包括:

智能推荐系统基于人工智能技术的商业推荐策略优化与系统构建

多媒体平台违规信息检测基于多模态分析技术的智能违规信息检测与管理支持

多智能体协同决策基于多智能体协同应用的情景仿真与决策支持


科研项目



科研成果

主要在商务智能、探索性推荐系统、多媒体平台分析和生成式人工智能领域方向发表会议和期刊论文,详见个人主页https://zhefu2.github.io//publications/

 

1. Fu, Z., Niu, X, Wu, X., and Rahman, R. (2025). A Deep Learning Model for Cross-Domain Serendipity Recommendations. ACM Transactions on Recommender Systems (TORS), 3(3), 1-21.

2. Fu, Z., Wang, K., Xin, W., Zhou, L., Chen, S., Ge, Y., Janies, D., and Zhang, D. (2024). Detecting Misinformation in Multimedia Content through Cross-Modal Entity Consistency: A Dual Learning Approach. Pacific-Asia Conference on Information Systems (PACIS) Proceedings, 2. July 1-5, 2024, Ho Chi Minh City, Vietnam. (Best Complete Paper Award Winner of PACIS 2024)

3. Fu, Z., Wang, K., Wang, J., and Zhu, Y. (2024). Predicting Sales Lift of Influencer-generated Short Video Advertisements: A Ladder Attention-based Multimodal Time Series Forecasting Framework. In Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS ’24), 2843-2852. January 3-6, 2024, Honolulu, Hawaii.

4. Fu, Z., Niu, X., and Yu, L. (2023). Wisdom of Crowds and Fine-Grained Learning for Serendipity Recommendations. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’23), 739-748. July 23-27, 2023, Taipei, Taiwan.

5. Fu, Z. and Niu, X. (2023). Modeling Users’ Curiosity in Recommender Systems. ACM Transactions on Knowledge Discovery from Data (TKDD), 18(1), 1-23.

6. Fu, Z., Niu, X., and Maher, M.L. (2023). Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives. ACM Computing Surveys (CSUR), 56(1), 1-26.

7. Fu, Z., Yu, L., and Niu, X. (2022). TRACE: Travel Reinforcement Recommendation based on Location-Aware Context Extraction. ACM Transactions on Knowledge Discovery from Data (TKDD), 16(2), 1-22.

8. Yu, L., Gong, W., Zhang, D., Ding, Y., & Fu, Z. (2026). From Interaction to Prediction: A Multi-Interactive Attention-Based Approach to Product Rating Prediction. INFORMS Journal on Computing38(1), 1-15.

9. Farsheed, H., Fu, Z., Aditya, R., Xu, D., and Niu, X. (2026). Fair RAG: End-to-End Fairness Across Retrieval and Generation. In Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL ’26). July 2 - 7, 2026, San Diego, USA.

10. Rahman, R., Fu, Z., Xu, D., and Niu, X. (2026). Reducing Disparity in Aleatoric Uncertainty for Age Estimation from Facial Images. The 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 26), 9-12 June, 2026, Hong Kong, China.

11. Zhou, L. and Fu, Z. (2025). Stylometric Characteristics of Code-Switched Offensive Language in Social Media. Information & Management. 62(6), 1-14.

12. Farsheed, H., Fu, Z., Xu, D., Yuan, S., and Niu, X. Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation. (2025) In Findings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP ’25), 15785-15798. November 4-9, 2025, Suzhou, China.

13. Zhang, D., Shan, G., Lee, M., Zhou, L., and Fu, Z. (2025). MT-GPD: A Saliency-Oriented Auxiliary Mechanism Design in Multimodal Deep Transfer Learning for Online Fake News Detection. Production and Operations Management (POM), 34(8), 2448-2470.

14. Yu, L., Zhang, D., and Fu, Z. (2021). CE-DIFF: An Approach to Identifying and Coping with Irregular Ratings in Collaborative Decision Making. Decision Sciences, 52(6), 1432-1451.

15. 傅哲,辛泓润,余力,徐冠宇,基于使用行为分析的共享单车管理优化研究,信息系统学报,2019年第21辑,81-94.


社会兼职


期刊同行评审员:  

Transactions on Knowledge and Data Engineering (TKDE)

Decision Support Systems (DSS)  

Information & Management (I&M)

Knowledge and Information Systems (KAIS)

Nature Scientific Reports   

会议同行评审员:  

International Conference on Information Systems (ICIS)  

Hawaii International Conference on System Sciences (HICSS)  

Americas Conference on Information Systems (AMCIS)

Pacific Asia Conference on Information Systems (PACIS)  

Annual AAAI Conference on Artificial Intelligence (AAAI) 


荣誉获奖

UNCC 计算机与suncitygroup太阳成 Essam El-Kwae 杰出师生研究奖提名2025

PACIS最佳论文奖 2024 

萨师煊精英奖学金二等奖 2015