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

Refereed Journal Articles

  1. Chen Lin, Si Chen, Meifang Zeng, Sheng Zhang, Min Gao, and Hui Li*, "Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles," To appear in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022. [pdf] [code
  2. Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, and Bingchuan Jiang, "SPEX: A Generic Framework for Enhancing Neural Social Recommendation," ACM Transactions on Information Systems (TOIS), vol. 40, no. 2, pp. 37:1-37:33, 2022. [pdf] [code
  3. 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), vol. 34, no. 2, pp. 789-802, 2022. [pdf
  4. 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), vol. 34, no. 2, pp. 653-666, 2022. [pdf] [code
  5. 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
  6. Ziyu Lyu, Min Yang, and Hui Li, "Multi-view Group Representation Learning for Location-aware Group Recommendation," Information Sciences, vol. 580, pp. 495-509, 2021. [pdf
  7. 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
  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), vol. 31, no. 8, pp. 2731-2740, 2020. [pdf
  9. 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
  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. [pdf] [data

Refereed Conference Papers

  1. Xinyi Liu, Wanxian Guan, Lianyun Li, Hui Li, Chen Lin, Xubin Li, Si Chen, Jian Xu, Hongbo Deng, and Bo Zheng, "Pretraining Representations of Multi-modal Multi-query E-commerce Search," To appear in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2022.
  2. Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, and Guoliang Li, "Adaptive Code Learning for Spark Configuration Tuning," To appear in IEEE International Conference on Data Engineering (ICDE), 2022.
  3. Zequan Xu, Siqiang Luo, Jieming Shi, Hui Li*, Chen Lin, Qihang Sun, and Shaofeng Hu, "Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction," To appear in IEEE International Conference on Mobile Data Management (MDM), 2022. [pdf] [code
  4. Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye, and Yewang Chen, "Neutralizing Popularity Bias in Recommendation Models," In International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 2623-2628, 2022.
  5. 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
  6. 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
  7. Chen Lin, Xinyi Liu, Guipeng Xv, and Hui Li*, "Mitigating Sentiment Bias for Recommender Systems," In International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 31-40, 2021. [pdf
  8. Shuai Fan, Hui Li, Chen Lin, and Quan Zou, "News Popularity Prediction with Local-Global Long-Short-Term Embedding," In International Conference on Web Information Systems Engineering (WISE), pp. 79-93, 2021.
  9. Si Chen, Yuqiu Qian, Hui Li*, and Chen Lin, "Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels," In International Symposium on Spatial and Temporal Databases (SSTD), pp. 130-140, 2021. [pdf
  10. 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
  11. 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
  12. 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
  13. Yunsen Hong, Hui Li, Xiaoli Wang, and Chen Lin, "DEAMER: a Deep Exposure-Aware Multimodal Content-based Recommendation System," In International Conference on Database Systems for Advanced Applications (DASFAA), pp. 621-637, 2020. [pdf
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. Hui Li, Dingming Wu, and Nikos Mamoulis, "A Revisit to Social Network-based Recommender Systems," In International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 1239-1242, 2014. [pdf] [data
  24. 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.

Preprints

  1. Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo an Hui Li, Xubin Li, Jian Xu, and Bo Zheng, "Visual Encoding and Debiasing for {CTR} Prediction," arXiv preprint, 2022. [pdf