*: Corresponding Author.

Selected 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," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 35, no. 1, pp. 1305-1319, 2024. [CCF-B] [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. [CCF-A] [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. [CCF-A] [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. [CCF-A] [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. [CCF-B] [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. [CCF-B] [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. [CCF-A] [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. [CCF-B] [pdf] 
  9. 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] [pdf] [data] 

Selected Conference Papers

  1. Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, and Hui Li*, "Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph," To appear in International Conference on Database Systems for Advanced Applications (DASFAA), 2024. [CCF-B] 
  2. Tao Chen, Ze Lin, Hui Li*, Jiayi Ji, Yiyi Zhou, Guanbin Li, and Rongrong Ji, "MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization," To appear in Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024. [CCF-B] 
  3. Sheng Zhang, Hui Li*, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, and Rongrong Ji, "Code Search Debiasing: Improve Search Results beyond Overall Ranking Performance," To appear in Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), 2023. [CCF-B] 
  4. Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, and Hui Li*, "Practical Cross-System Shilling Attacks with Limited Access to Data," In AAAI Conference on Artificial Intelligence (AAAI), pp. 4864-4874, 2023. [CCF-A] [pdf] [code] 
  5. Chengzhi Huang and Hui Li*, "Single-User Injection for Invisible Shilling Attack against Recommender Systems," In ACM International Conference on Information and Knowledge Management (CIKM), pp. 864-873, 2023. [CCF-B] [pdf] [code] 
  6. Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, and Yonghong Tian, "Knowledge Prompt-tuning for Sequential Recommendation," In ACM International Conference on Multimedia (MM), pp. 6451-6461, 2023. [CCF-A] [pdf] 
  7. Zequan Xu, Lianyun Li, Hui Li*, Qihang Sun, Shaofeng Hu, and Rongrong Ji, "Self-supervised Graph Representation Learning for Black Market Account Detection," In ACM International Conference on Web Search and Data Mining (WSDM), pp. 330-338, 2023. [CCF-B] [pdf] 
  8. Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li*, and Rongrong Ji, "RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring," In ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), pp. 740-752, 2023. [CCF-A] [pdf] [code] 
  9. Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Ziyu Lyu, Hongyu Zhang, and Zibin Zheng, "You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search," In IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 14-25, 2023. [CCF-B] 
  10. Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li*, and Rongrong Ji, "EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery," In IEEE/ACM International Conference on Automated Software Engineering (ASE), pp. 217-229, 2023. [CCF-A] [pdf] [code] 
  11. Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, and Yuanhang Zou, "Effective and Efficient Route Planning Using Historical Trajectories on Road Networks," In International Conference on Very Large Data Bases (VLDB), pp. 2512-2524, 2023. [CCF-A] 
  12. Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, and Zhenhua Huang, "Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation," In ACM International Conference on Information and Knowledge Management (CIKM), pp. 4620-4624, 2022. [CCF-B] 
  13. 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," In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 3429-3437, 2022. [CCF-A] 
  14. Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, and Guoliang Li, "Adaptive Code Learning for Spark Configuration Tuning," In IEEE International Conference on Data Engineering (ICDE), pp. 1995-2007, 2022. [CCF-A] 
  15. 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. [CCF-A] 
  16. 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," In MDM, pp. 238-245, 2022. [CCF-C] [pdf] [code] 
  17. 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. [CCF-A] [pdf] 
  18. 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. [CCF-B] [pdf] [code] 
  19. 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. [CCF-A] [pdf] 
  20. 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. [CCF-C] 
  21. 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. [CCF-C] [pdf] 
  22. 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. [CCF-C] [pdf] 
  23. 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. [CCF-B] [pdf] [code] 
  24. 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. [CCF-C] [pdf] 
  25. 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. [CCF-B] [pdf] 
  26. 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. [CCF-B] [pdf] 
  27. 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. [CCF-C] [pdf] [data] 
  28. 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. [CCF-A] [pdf] [code] 
  29. 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. [CCF-B] [pdf] 
  30. 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. [CCF-B] [pdf] 
  31. 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. [CCF-B] [pdf] 
  32. 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. [CCF-A] [pdf] [code] 
  33. 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. [CCF-B] [pdf] 
  34. 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. [CCF-B] [pdf] [data] [video] 
  35. 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. [CCF-A] [pdf] [data]