李辉 助理教授
香港大学 博士（2018）
研究方向：数据挖掘、数据库、推荐系统
所属部门：计算机科学系
电子邮件：hui@xmu.edu.cn
个人主页：http://lihui.info


个人简历：
【个人简介】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、前新加坡科技研究局资讯通信研究院（A*STAR, I2R）深度学习部研究员及NEC欧洲实验室（NEC Laboratories Europe）机器学习和系统组研究员。本人主要研究方向为数据挖掘、数据库及推荐系统。招收研究生和准备进行毕业设计的本科生，欢迎对我的研究方向感兴趣的同学联系我。
【学术兼职】1. SIGIR short paper track程序委员会委员, 2015-2017
2. APWeb-WAIM程序委员会委员, 2019-2020
3. WISE程序委员会委员, 2019-2020
4. TKDE、TNNLS、WWWJ等期刊审稿人
5. KDD (2017, 2019)、VLDB 2017、ICDE 2017、DASFAA (2014, 2017)、ICDM 2019等会议外部审稿人
【发表论文】[1] 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类期刊，中科院SCI二区期刊)
[2] 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类期刊，中科院SCI二区期刊，通讯作者)
[3] Yunsen Hong, Hui Li, Xiaoli Wang, and Chen Lin, "DEAMER: a Deep Exposure-Aware Multimodal Content-based Recommendation System," In DASFAA, 2020. (CCF-B类会议)
[4] Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, and Hui Li, "TransRev: Modeling Reviews as Translations from Users to Items," In ECIR, 2020. (CCF-C类会议)
[5] 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类期刊，中科院SCI一区期刊，通讯作者)
[6] 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类期刊，中科院SCI二区期刊)
[7] 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类期刊，中科院SCI三区期刊)
[8] Yunjie Wang, Hui Li, and Chen Lin, "Modeling Sentiment Evolution for Social Incidents," In CIKM, pp. 2413-2416, 2019. (CCF-B类会议)
[9] Ye Liu#, Hui Li#, Alberto Garcia-Duran#, Mathias Niepert, Daniel Onoro-Rubio, and David S. Rosenblum, "MMKG: Multi-modal Knowledge Graphs," In ESWC, pp. 459-474, 2019. (CCF-C类会议，共同一作)
[10] Cheng Wang, Mathias Niepert, and Hui Li, "LRMM: Learning to Recommend with Missing Modalities," In EMNLP, pp. 3360-3370, 2018. (CCF-B类会议)
[11] Yanjie Wang, Rainer Gemulla, and Hui Li, "On Multi-Relational Link Prediction With Bilinear Models," In AAAI, pp. 4227-4234, 2018. (CCF-A类会议)
[12] 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类会议)
[13] 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类会议)
[14] 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类会议)
[15] 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类会议)
[16] Hui Li, Dingming Wu, Wenbin Tang, and Nikos Mamoulis, "Overlapping Community Regularization for Rating Prediction in Social Recommender Systems," In RecSys, pp. 27-34, 2015. (EI会议)
[17] Hui Li, Dingming Wu, and Nikos Mamoulis, "A Revisit to Social Network-based Recommender Systems," In SIGIR, pp. 1239-1242, 2014. (CCF-A类会议)