朱桂祥，1989年1月生，江苏省扬州市宝应县人，南京财经大学信息工程学院讲师，2020年9月毕业于南京理工大学计算机科学与技术专业，获工学博士学位，研究方向：商务智能、人工智能、推荐系统、社会计算。在国内外著名SCI 、SSCI、EI期刊和EI会议上发表论文20余篇，如TWEB、Neural Networks、ECRA、KBS、Neurocomputing、MTA、WWWJ、TIST、TII、ESWA、KAIS、计算机研究与发展、电子学报、CCEAI 2023、CBD 2018国际会议等，申请发明专利10余项，获得授权发明专利2项，2017年获得CSC国家公派留学奖学金，入选2022年江苏省科技副总，主持省教育厅高校哲学社会科学研究项目，南京财经大学青年学者研究计划，参与国家自然科学基金委项目以及江苏省科技厅项目10余项，担任Tourism Management和Neurocomputing等国际期刊审稿人。

部分研究成果：

期刊会议（*为通信作者）

[1] Shuxin Yang, Quanming Du, Guixiang Zhu*, Jie Cao, Lei Chen, Weipin Qin, Youquan Wang. Balanced influence maximization in social networks based on deep reinforcement learning [J]. Neural Networks, 2024, 16: 334-351. (SCI 中科院1区, Top期刊)

[2] Guixiang Zhu, Jie Cao*, Lei Chen, Youquan Wang. A Multi-task graph neural network with variational graph auto-encoders for session-based travel packages recommendation [J]. ACM Transactions on the Web, 2023, 17(3): 1-30. (SCI 3区，CCF B类期刊)

[3] Shuxin Yang, Xiaoyang Chang, Guixiang Zhu*, Jie Cao, Weipin Qin, Youquan Wang, Zhendong Wang. GAA-PPO: A novel graph adversarial attack method by incorporating proximal policy optimization[J]. Neurocomputing, 2023:557, 126707. (SCI 中科院2区, CCF C类期刊)

[4] Guixiang Zhu, Zhiang Wu*, Youquan Wang, Shanshan Cao, Jie Cao. Online purchase decisions for tourism e-commerce [J]. Electronic Commerce Research and Applications, 2019, 38: 100887. (SSCI JCR 2区 & SCI 中科院2区)

[5] Guixiang Zhu, Youquan Wang*, Jie Cao, Zhan Bu, Shuxin Yang，Weichao Liang, Jingting Liu. Neural attentive travel package recommendation via exploiting long-term and short-term behaviors [J]. Knowledge-Based Systems, 2021, 211: 106511. (SCI 中科院1区, Top期刊)

[6] Shuxin Yang, Suxin Tong, Guixiang Zhu*, Jie Cao, Youquan Wang, Zhengfa Xue, Hongliang Sun, Yu Wen. MVE-FLK: A multi-task legal judgment prediction via multi-view encoder fusing legal keywords[J]. Knowledge-Based Systems, 2022: 107960. (SCI 中科院1区, Top期刊)

[7] Guixiang Zhu, Jie Cao*, Changsheng Li, Zhiang Wu. A recommendation engine for travel products based on topic sequential patterns [J]. Multimedia Tools and Applications, 2017, 76(16): 17595-17612. (SCI 中科院3区, CCF C类期刊)

[8] 朱桂祥, 曹杰*. 基于主题序列模式的旅游产品推荐引擎 [J]. 计算机研究与发展, 2018, 55(5): 920-932. (EI源刊, CCF A类中文期刊）

[9] 张瑾, 朱桂祥*, 王宇琛, 郑烁佳， 陈镜潞. 基于异质图表达学习的跨境电商推荐模型[J]. 电子与信息学报, 2022, 44(11): 4008-4017. (EI源刊)

[10] Shuxin Yang, Baizhen Chen, Guixiang Zhu*. EPCG: An elite population co-evolutionary genetic algorithm for global community deception[C]//Proceedings of the 7th International Conference on Control Engineering and Artificial Intelligence. 2023: 66-71. (EI)

[11] Guixiang Zhu, Zhiang Wu*, Jie Cao, Jun Gu. Online tourism purchase analysis and prediction [C]// Proceedings of the 6th International Conference on Advanced Cloud and Big Data. IEEE, 2018: 171-176. (EI)

[12] Li Chen, Guixiang Zhu, Weichao Liang, YouquanWang*. Multi-objective reinforcement learning approach for trip recommendation[J]. Expert Systems with Applications, 2023, 226: 120145. (SCI)

[13] Zhiang Wu*, Jie Cao, Guixiang Zhu, Wenpeng Yin, Alfredo Cuzzocrea, Jin Shi. Detecting overlapping communities in poly-relational networks [J]. World Wide Web, 2015, 18(5): 1373-1390. (SCI)

[14] Li Chen, Jie Cao*, Guixiang Zhu, YouquanWang, WeichaoLiang. A multi-task learning approach for improving travel recommendation with keywords generation[J]. Knowledge-Based Systems, 2021, 233: 107521. (SCI)

[15] Li Chen, Zhiang Wu*, Jie Cao, Guixiang Zhu, Yong Ge. Travel recommendation via fusing multi-auxiliary information into matrix factorization [J]. ACM Transactions on Intelligent Systems and Technology, 2020, 11(2): 1-24. (SCI)

[16] Jie Cao, YouquanWang*, Jing He, Weichao Liang, Haicheng Tao, Guixiang Zhu. Predicting grain losses and waste rate along the entire chain: A multitask multigated recurrent unit autoencoder based method[J]. IEEE Transactions on Industrial Informatics, 2020, 17(6): 4390-4400. (SCI)

[17] Jie Cao, Yuyao Wang, Zhan Bu, Youquan Wang, Haichen Tao, Guixiang Zhu. Compactness preserving community computation via a network generative process[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2021, 6(5): 1044-1056. (SCI)

[18] Youquan Wang, Zhiwen Dai, Jie Cao*, Jia Wu, Haicheng Tao, Guixiang Zhu. Intra-and inter-association attention network-enhanced policy learning for social group recommendation[J]. World Wide Web, 2022: 1-24. (SCI)

[19] Lei Chen, Jie Cao*, Youquan Wang, Weichao Liang, Guixiang Zhu. Multi-view graph attention network for travel recommendation [J]. Expert Systems with Applications, 2022, 191: 116234. (SCI)

[20] Lei Chen, Jie Cao*, Huanhuan Chen, Weichao Liang, Haichen Tao, Guixiang Zhu. Attentive multi-task learning for group itinerary recommendation [J]. Knowledge and Information Systems, 2021: 1-30. (SCI)

[21] Shuxin Yang, Jianbin Song, Suxin Tong, Yunliang Chen*, Guixiang Zhu, Jianqing Wu, Wen Liang. Extending influence maximization by optimizing the network topology[J]. Expert Systems with Applications, 2023, 215: 119349. (SCI)

[22] 卜湛*, 伍之昂, 曹杰, 朱桂祥. 在线评论情感计算与博弈预测 [J]. 电子学报, 2015, 43(12): 2530-2535. (EI)

授权发明专利：

[1] 朱桂祥; 曹杰; 张瑾; 夏天豪; 王宇琛; 温宇; 一种基于异构图表达学习的跨境电商推荐方法, 2021-2-15, 中国, ZL202110728252.6 (专利)

[2] 朱桂祥; 曹杰; 刘小惠 ; 重叠社区挖掘方法与装置, 2020-2-21, 中国, ZL201511024312.7 (专利)

近五年主持或参加的基金项目/课题：

[1] 江苏省高校哲学社会科学研究项目，一般项目，2023SJYB026，基于大数据的旅游产品个性化定制和定价策略优化研究，2023-12-01至2025-12-01，1万元，在研，主持。

[2] 江苏省科技副总项目，横向课题，面向跨境电商平台的智能营销决策模型研究，2022-06-01至2024-12-31，在研，30.05万，主持。

[3] 国家自然科学基金委员会, 面上项目, 72172057, 电子商务虚假购买行为检测：用户购买全过程视角, 2022-01-01 至 2025-12-31, 48万元, 在研, 参与

[4] 国家自然科学基金委员会, 重大研究计划, 92046026, 基于大数据的新一代电子商务全景式营销与决策研究, 2021-01-01 至 2022-12-31, 130万元, 资助期满, 参与

[5] 国家自然科学基金委员会, 面上项目, 71871109, 社交媒体消费社群形成与演化机理研究, 2019-01-01 至 2022-12-31, 45万元, 资助期满, 参与

[6] 国家自然科学基金委员会, 青年科学基金项目, 71701089, 融合行为模式和关系网络的广告虚假攻击检测研究, 2018-01-01 至 2020-12-31, 18万元, 结题, 参与