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"#" and "*" represent that I have "Euqal Contributions" and I am the "Corresponding Author(s)", respectively.

Refereed Journal Articles

  1. Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, and Bingchuan Jiang, "SPEX: A Generic Framework for Enhancing Neural Social Recommendation," To appear in ACM Transactions on Information Systems (TOIS), 2021. [pdf] [code] 
  2. Hui Li, Yanlin Wang, Ziyu Lyu, and Jieming Shi, "Multi-task Learning for Recommendation over Heterogeneous Information Network," To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. [pdf] 
  3. Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li*, and Nikos Mamoulis, "Fast and Secure Distributed Nonnegative Matrix Factorization," To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020. [pdf] [code] 
  4. Chen Lin, Zhichao Ouyang, Xiaoli Wang, Hui Li, and Zhenhua Huang, "Preserve Integrity in Realtime Event Summarization," ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 15, no. 3, pp. 49:1-49:29, 2021. [pdf] [code] 
  5. 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), vol. 32, no. 8, pp. 1639-1651, 2020. [pdf] [data] 
  6. 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), vol. 31, no. 8, pp. 2731-2740, 2020. [pdf] 
  7. Yuyou Weng, Xinyi Liu, Hui Li, Chen Lin, and Yun Liang, "Drug Target Interaction Prediction via Multi-task Co-attention," International Journal of Data Mining and Bioinformatics (IJDMB), vol. 24, no. 2, pp. 160-176, 2020. [pdf] [code] 
  8. 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. [pdf] [data] 

Refereed Conference Papers

  1. Chen Lin, Xinyi Liu, Guipeng Xv, and Hui Li*, "Mitigating Sentiment Bias for Recommender Systems," To appear in International Conference on Research and Development in Information Retrieval (SIGIR), 2021.
  2. Si Chen, Yuqiu Qian, Hui Li*, and Chen Lin, "Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels," To appear in International Symposium on Spatial and Temporal Databases (SSTD), 2021. [pdf] 
  3. Yanlin Wang and Hui Li*, "Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs," In AAAI Conference on Artificial Intelligence (AAAI), pp. 14015-14023, 2021. [pdf] 
  4. Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li*, and Rongxin Wu, "Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting," In IEEE/ACM International Conference on Program Comprehension (ICPC), pp. 184-195, 2021. [pdf] [code] 
  5. Yunsen Hong, Hui Li, Yanghua Xiao, Ryan McBride, and Chen Lin, "SILVER: Generating Persuasive Chinese Product Pitch," In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 652-663, 2021. [pdf] 
  6. Chen Lin, Si Chen, Hui Li*, Yanghua Xiao, Lianyun Li, and Qian Yang, "Attacking Recommender Systems with Augmented User Profiles," In Conference on Information and Knowledge Management (CIKM), pp. 855-864, 2020. [pdf] [code] 
  7. Yunsen Hong, Hui Li, Xiaoli Wang, and Chen Lin, "DEAMER: a Deep Exposure-Aware Multimodal Content-based Recommendation System," In Database Systems for Advanced Applications (DASFAA), pp. 621-637, 2020. [pdf] 
  8. Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, and Hui Li, "TransRev: Modeling Reviews as Translations from Users to Items," In European Conference on Information Retrieval (ECIR), pp. 234-248, 2020. [pdf] 
  9. Yunjie Wang, Hui Li, and Chen Lin, "Modeling Sentiment Evolution for Social Incidents," In Conference on Information and Knowledge Management (CIKM), pp. 2413-2416, 2019. [pdf] 
  10. Ye Liu#, Hui Li#, Alberto Garcia-Duran#, Mathias Niepert, Daniel Onoro-Rubio, and David S. Rosenblum, "MMKG: Multi-modal Knowledge Graphs," In Extended Semantic Web Conference (ESWC), pp. 459-474, 2019. [pdf] [data] 
  11. Yanjie Wang, Rainer Gemulla, and Hui Li, "On Multi-Relational Link Prediction With Bilinear Models," In AAAI Conference on Artificial Intelligence (AAAI), pp. 4227-4234, 2018. [pdf] [code] 
  12. Cheng Wang, Mathias Niepert, and Hui Li, "LRMM: Learning to Recommend with Missing Modalities," In Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 3360-3370, 2018. [pdf] 
  13. Danhao Ding, Hui Li, Zhipeng Huang, and Nikos Mamoulis, "Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core," In Conference on Information and Knowledge Management (CIKM), pp. 2047-2050, 2017. [pdf] 
  14. Yuqiu Qian, Hui Li, Nikos Mamoulis, Yu Liu, and David W. Cheung, "Reverse k-Ranks Queries on Large Graphs," In International Conference on Extending Database Technology (EDBT), pp. 37-48, 2017. [pdf] 
  15. Hui Li, Tsz Nam Chan, Man Lung Yiu, and Nikos Mamoulis, "FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems," In International Conference on Management of Data (SIGMOD), pp. 835-850, 2017. [pdf] [code] 
  16. Ziyu Lu, Hui Li, Nikos Mamoulis, and David W. Cheung, "HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation," In SIAM International Conference on Data Mining (SDM), pp. 372-380, 2017. [pdf] 
  17. Hui Li, Dingming Wu, Wenbin Tang, and Nikos Mamoulis, "Overlapping Community Regularization for Rating Prediction in Social Recommender Systems," In ACM Recommender Systems Conference (RecSys), pp. 27-34, 2015. [pdf] [data] [video] 
  18. Hui Li, Dingming Wu, and Nikos Mamoulis, "A Revisit to Social Network-based Recommender Systems," In International Conference on Research and Development in Information Retrieval (SIGIR), pp. 1239-1242, 2014. [pdf] [data] 
  19. Hui Li, Fei Cai, and Zhifang Liao, "Content-Based Filtering Recommendation Algorithm Using HMM," In International Conference on Computational and Information Sciences (ICCIS), pp. 275-277, 2012.
Last Updated: Jul 4, 2021.