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李辉 助理教授

香港大学 博士(2018)

研究方向:数据挖掘、数据库、机器学习、推荐系统、知识图谱

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:

【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

  3. WISE程序委员会委员, 2019

  4. TKDE、TNNLS、Neurocomputing、IEEE Access、Scientific Programming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

【代表性论文】

  1. RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems. Cheng Wang, Mathias Niepert and Hui Li. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019.

  2. Translation-Based Sequential Recommendation for Complex Users on Sparse Data. Hui Li, Ye Liu, Nikos Mamoulis and David S. Rosenblum. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.

  3. MMKG: Multi-Modal Knowledge Graphs. Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio and David S. Rosenblum. 2019 Extended Semantic Web Conference (ESWC), 2019.

  4. HHMF: Hidden Hierarchical Matrix Factorization for Recommender Systems. Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu and David W. Cheung. Data Mining and Knowledge Discovery Journal (DMKD), 2019.

  5. LRMM: Learning to Recommend with Missing Modalities. Cheng Wang, Mathias Niepert and Hui Li. 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.

  6. TransRev: Modeling Reviews as Translations from Users to Items. Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert and Hui Li. arXiv Preprint, 2018.

  7. On Multi-Relational Link Prediction with Bilinear Models. Yanjie Wang, Rainer Gemulla and Hui Li. 32nd AAAI Conference on Artificial Intelligence (AAAI), 2018.

  8. Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core. Danghao Ding, Hui Li, Zhipeng Huang and Nikos Mamoulis. 2017 International Conference on Information and Knowledge Management (CIKM), 2017.

  9. FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems. Hui Li, Tsz Nam Chan, Man Lung Yiu and Nikos Mamoulis. 2017 ACM Conference on Management of Data (SIGMOD), 2017.

  10. HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation. Ziyu Lu, Hui Li, Nikos Mamoulis and David W. Cheung. 2017 SIAM International Conference on Data Mining (SDM), 2017.

  11. Reverse k-Ranks Queries on Large Graphs. Yuqiu Qian, Hui Li, Nikos Mamoulis, Yu Liu and David W. Cheung. 20th International Conference on Extending Database Technology (EDBT), 2017.

  12. Overlapping Community Regularization for Rating Prediction in Social Recommender Systems. Hui Li, Dingming Wu, Wenbin Tang and Nikos Mamoulis. 9th ACM Recommender Systems Conference (RecSys), 2015.

  13. A Revisit to Social Network-Based Recommender Systems. Hui Li, Dingming Wu and Nikos Mamoulis. 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2014.

  14. HMM-Based FCM Algorithm for Gene Sequences Clustering (in Chinese). Hui Li and Wei Liu. Application Research of Computers, 30 (Suppl): 175-176, 2013.

  15. Content-Based Filtering Recommendation Algorithm Using HMM. Hui Li, Fei Cai and Zhifang Liao. 2012 Fourth International Conference on Computational and Information Sciences (ICCIS), 2012.


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