李辉

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E-mail:
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研究方向:
助理教授
hui {at} xmu.edu.cn
数据挖掘、数据库

【详细信息】

最新的详细信息可查看我的个人主页:https://lihui.info

香港大学计算机科学博士、福建省引进高层次人才。本人主要研究方向为数据挖掘、数据库,近期主要研究课题包括:

(1) 鲁棒推荐系统

(2) 智能数据库

(3) 异构图数据挖掘

组内学生定期参与国内互联网企业合作科研项目。现招收研究生和愿意参与科研的本科生,欢迎对我的研究方向感兴趣的同学联系我。

【主讲课程】

  • 数据挖掘与分析(研究生英文课程)

  • 操作系统原理(本科生课程)

  • UNIX系统程序设计(本科生课程)

【CCF-A类和CCF-B类论文】

[1] Yanlin Wang and Hui Li*, "Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs," To appear in AAAI, 2021. (CCF-A类,通讯作者)

[2] Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li*, and Rongxin Wu, "Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting," To appear in ICPC, 2021. (CCF-B类,通讯作者)

[3] Chen Lin, Zhichao Ouyang, Xiaoli Wang, Hui Li, and Zhenhua Huang, "Preserve Integrity in Realtime Event Summarization," To appear in ACM Transactions on Knowledge Discovery from Data (TKDD), 2020. (CCF-B类)

[4] Chen Lin, Si Chen, Hui Li*, Yanghua Xiao, Lianyun Li, and Qian Yang, "Attacking Recommender Systems with Augmented User Profiles," In CIKM, 2020. (CCF-B类,通讯作者)

[5] Hui Li, Yanlin Wang, Ziyu Lyu, and Jieming Shi, "Multi-task Learning for Recommendation over Heterogeneous Information Network," IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (CCF-A类)

[6] Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li*, and Nikos Mamoulis, "Fast and Secure Distributed Nonnegative Matrix Factorization," IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. (CCF-A类,通讯作者)

[7] Yunsen Hong, Hui Li, Xiaoli Wang, and Chen Lin, "DEAMER: a Deep Exposure-Aware Multimodal Content-based Recommendation System," In DASFAA, 2020. (CCF-B类)

[8] Cheng Wang, Mathias Niepert, and Hui Li*, "RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019. (CCF-B类,通讯作者)

[9] Hui Li, Ye Liu, Nikos Mamoulis, and David S. Rosenblum, "Translation-Based Sequential Recommendation for Complex Users on Sparse Data," IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. (CCF-A类)

[10] Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, and David W. Cheung, "HHMF: Hidden Hierarchical Matrix Factorization for Recommender Systems," Data Mining and Knowledge Discovery (DMKD), vol. 33, no. 6, pp. 1548-1582, 2019. (CCF-B类)

[11] Yunjie Wang, Hui Li, and Chen Lin, "Modeling Sentiment Evolution for Social Incidents," In CIKM, pp. 2413-2416, 2019. (CCF-B类)

[12] Cheng Wang, Mathias Niepert, and Hui Li, "LRMM: Learning to Recommend with Missing Modalities," In EMNLP, pp. 3360-3370, 2018. (CCF-B类)

[13] Yanjie Wang, Rainer Gemulla, and Hui Li, "On Multi-Relational Link Prediction With Bilinear Models," In AAAI, pp. 4227-4234, 2018. (CCF-A类)

[14] Hui Li, Tsz Nam Chan, Man Lung Yiu, and Nikos Mamoulis, "FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems," In SIGMOD Conference, pp. 835-850, 2017. (CCF-A类)

[15] Danhao Ding, Hui Li, Zhipeng Huang, and Nikos Mamoulis, "Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core," In CIKM, pp. 2047-2050, 2017. (CCF-B类)

[16] Ziyu Lu, Hui Li, Nikos Mamoulis, and David W. Cheung, "HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation," In SDM, pp. 372-380, 2017. (CCF-B类)

[17] Yuqiu Qian, Hui Li, Nikos Mamoulis, Yu Liu, and David W. Cheung, "Reverse k-Ranks Queries on Large Graphs," In EDBT, pp. 37-48, 2017. (CCF-B类)

[18] Hui Li, Dingming Wu, and Nikos Mamoulis, "A Revisit to Social Network-based Recommender Systems," In SIGIR, pp. 1239-1242, 2014. (CCF-A类)