个人简介

本人长期从事推荐系统领域的应用研究，主要围绕哈希学习、排序学习、纠偏学习展开深入研究。近四年，在相关领域国际顶级期刊（ACM TKDD）和国际顶级学术会议（IJCAI, SIGIR, AAAI）发表论文数十篇，主持中央高校基本科研业务费项目2项，授权国家发明专利2项。

研究方向

推荐系统、信息检索

教育简历

2018年9月-2024年6月，北京交通大学，计算机科学与技术，博士（硕博连读）

2014年9月-2018年7月，合肥工业大学，电子信息科学与技术，学士

工作履历

2024年7月至今，北京工业大学计算机学院教师

学术兼职

[1] 学术期刊审稿人：ACM Transactions on Knowledge Discovery from Data, Knowledge and Information Systems, The Journal of Supercomputing

主要论文论著

[1] Fangyuan Luo, Jun Wu. Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract). The AAAI Conference on Artificial Intelligence, 2024. (CCF-A Conference)

[2] Fangyuan Luo, Jun Wu, Tao Wang. Discrete Listwise Content-Aware Recommendation. ACM Transactions on Knowledge Discovery from Data, 2024. (CCF-B Journal)

[3] Fangyuan Luo, Jun Wu. User-Dependent Learning to Debias for Recommendation. The International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023. (CCF-A Conference)

[4] Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li. LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. ACM Transactions on Information Systems, 2023. (CCF-A Journal)

[5] Fangyuan Luo, Jun Wu, Tao Wang. Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. The International Joint Conferences on Artificial Intelligence, 2022. (CCF-A Conference)

[6] Shuang Tang, Fangyuan Luo, Jun Wu. Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. The International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022. (CCF-A Conference)

[7] Fangyuan Luo, Jun Wu, Haishuai Wang. Semi-Discrete Social Recommendation (Student Abstract). The AAAI Conference on Artificial Intelligence, 2021. (CCF-A Conference)

[8] Junheng Huang, Fangyuan Luo, Jun Wu. Semi-supervised Factorization Machines for Review-Aware Recommendation. The International Conference on Database Systems for Advanced Applications, 2021. (CCF-B Conference)

[9] Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang. Semi-discrete Matrix Factorization. IEEE Intelligent Systems, 2020. (The organizer of AI's 10 to Watch)