*: Corresponding Author.

Selected Journal Articles

  1. Tao Chen, Enwei Zhang, Yuting Gao, Ke Li, Xing Sun, Yan Zhang, Hui Li*, and Rongrong Ji, "MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples," TOMM 2024. [CCF-B] [pdf] [code] 
  2. 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," TNNLS 2024. [CCF-B] [pdf] [code] 
  3. Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, and Bingchuan Jiang, "SPEX: A Generic Framework for Enhancing Neural Social Recommendation," TOIS 2022. [CCF-A] [pdf] [code] 
  4. Hui Li, Yanlin Wang, Ziyu Lyu, and Jieming Shi, "Multi-task Learning for Recommendation over Heterogeneous Information Network," TKDE 2022. [CCF-A] [pdf] 
  5. Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li*, and Nikos Mamoulis, "Fast and Secure Distributed Nonnegative Matrix Factorization," TKDE 2022. [CCF-A] [pdf] [code] 
  6. Chen Lin, Zhichao Ouyang, Xiaoli Wang, Hui Li, and Zhenhua Huang, "Preserve Integrity in Realtime Event Summarization," TKDD 2021. [CCF-B] [pdf] [code] 
  7. Ziyu Lyu, Min Yang, and Hui Li, "Multi-view Group Representation Learning for Location-aware Group Recommendation," Information Sciences 2021. [CCF-B] [pdf] 
  8. Hui Li*, Ye Liu, Nikos Mamoulis, and David S. Rosenblum, "Translation-Based Sequential Recommendation for Complex Users on Sparse Data," TKDE 2020. [CCF-A] [pdf] [data] 
  9. Cheng Wang, Mathias Niepert, and Hui Li*, "RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems," TNNLS 2020. [CCF-B] [pdf] 
  10. Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, and David W. Cheung, "HHMF: Hidden Hierarchical Matrix Factorization for Recommender Systems," DMKD 2019. [CCF-B] [pdf] [data] 

Selected Conference Papers

  1. Suhuang Wu, Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng, Wei Li, Hui Li*, and Rongrong Ji, "Monte Carlo Tree Search Based Prompt Autogeneration for Jailbreak Attacks against LLMs," COLING 2025. [CCF-B] [pdf] [code] 
  2. Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, and Yonghong Tian, "Learning Transition Patterns by Large Language Models for Sequential Recommendation," COLING 2025. [CCF-B] 
  3. Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, and Yonghong Tian, "Multimodal Quantitative Language for Generative Recommendation," ICLR 2025.
  4. Sheng Zhang, Hui Li*, and Rongrong Ji, "Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models," EMNLP Findings 2024. [CCF-B] [pdf] [code] 
  5. Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, and Hui Li*, "Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph," DASFAA 2024. [CCF-B] [pdf] [code] 
  6. Chenyuan Zhang, Hao Liu, Jiutian Zeng, Kejing Yang, Yuhong Li, and Hui Li*, "Prompt-Enhanced Software Vulnerability Detection Using ChatGPT," ICSE Poster 2024. [pdf] [code] 
  7. 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," COLING 2024. [CCF-B] [pdf] [code] 
  8. Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, and Hui Li*, "Practical Cross-System Shilling Attacks with Limited Access to Data," AAAI 2023. [CCF-A] [pdf] [code] 
  9. Chengzhi Huang and Hui Li*, "Single-User Injection for Invisible Shilling Attack against Recommender Systems," CIKM 2023. [CCF-B] [pdf] [code] 
  10. Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, and Yonghong Tian, "Knowledge Prompt-tuning for Sequential Recommendation," ACM MM 2023. [CCF-A] [pdf] 
  11. Zequan Xu, Lianyun Li, Hui Li*, Qihang Sun, Shaofeng Hu, and Rongrong Ji, "Self-supervised Graph Representation Learning for Black Market Account Detection," WSDM 2023. [CCF-B] [pdf] 
  12. 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," ISSTA 2023. [CCF-A] [pdf] [code] 
  13. 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," EMNLP Findings 2023. [CCF-B] [pdf] 
  14. 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," ICSME 2023. [CCF-B] 
  15. 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," ASE 2023. [CCF-A] [pdf] [code] 
  16. Wei Tian, Jieming Shi, Siqiang Luo, Hui Li, Xike Xie, and Yuanhang Zou, "Effective and Efficient Route Planning Using Historical Trajectories on Road Networks," VLDB 2023. [CCF-A] 
  17. Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, and Zhenhua Huang, "Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation," CIKM 2022. [CCF-B] 
  18. 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," KDD 2022. [CCF-A] 
  19. Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, and Guoliang Li, "Adaptive Code Learning for Spark Configuration Tuning," ICDE 2022. [CCF-A] 
  20. Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye, and Yewang Chen, "Neutralizing Popularity Bias in Recommendation Models," SIGIR 2022. [CCF-A] 
  21. 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," MDM 2022. [CCF-C] [pdf] [code] 
  22. Yanlin Wang and Hui Li*, "Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs," AAAI 2021. [CCF-A] [pdf] 
  23. Chen Lin, Zhichao Ouyang, Junqing Zhuang, Jianqiang Chen, Hui Li*, and Rongxin Wu, "Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting," ICPC 2021. [CCF-B] [pdf] [code] 
  24. Chen Lin, Xinyi Liu, Guipeng Xv, and Hui Li*, "Mitigating Sentiment Bias for Recommender Systems," SIGIR 2021. [CCF-A] [pdf] 
  25. Shuai Fan, Hui Li, Chen Lin, and Quan Zou, "News Popularity Prediction with Local-Global Long-Short-Term Embedding," WISE 2021. [CCF-C] 
  26. Si Chen, Yuqiu Qian, Hui Li*, and Chen Lin, "Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels," SSTD 2021. [CCF-C] [pdf] 
  27. Yunsen Hong, Hui Li, Yanghua Xiao, Ryan McBride, and Chen Lin, "SILVER: Generating Persuasive Chinese Product Pitch," PAKDD 2021. [CCF-C] [pdf] 
  28. Chen Lin, Si Chen, Hui Li*, Yanghua Xiao, Lianyun Li, and Qian Yang, "Attacking Recommender Systems with Augmented User Profiles," CIKM 2020. [CCF-B] [pdf] [code] 
  29. Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, and Hui Li, "TransRev: Modeling Reviews as Translations from Users to Items," ECIR 2020. [CCF-C] [pdf] 
  30. Yunsen Hong, Hui Li, Xiaoli Wang, and Chen Lin, "DEAMER: a Deep Exposure-Aware Multimodal Content-based Recommendation System," DASFAA 2020. [CCF-B] [pdf] 
  31. Yunjie Wang, Hui Li, and Chen Lin, "Modeling Sentiment Evolution for Social Incidents," CIKM 2019. [CCF-B] [pdf] 
  32. Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, and David S. Rosenblum, "MMKG: Multi-modal Knowledge Graphs," ESWC 2019. [CCF-C] [pdf] [data] 
  33. Yanjie Wang, Rainer Gemulla, and Hui Li, "On Multi-Relational Link Prediction With Bilinear Models," AAAI 2018. [CCF-A] [pdf] [code] 
  34. Cheng Wang, Mathias Niepert, and Hui Li, "LRMM: Learning to Recommend with Missing Modalities," EMNLP 2018. [CCF-B] [pdf] 
  35. Danhao Ding, Hui Li, Zhipeng Huang, and Nikos Mamoulis, "Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core," CIKM 2017. [CCF-B] [pdf] 
  36. Yuqiu Qian, Hui Li, Nikos Mamoulis, Yu Liu, and David W. Cheung, "Reverse k-Ranks Queries on Large Graphs," EDBT 2017. [CCF-B] [pdf] 
  37. Hui Li, Tsz Nam Chan, Man Lung Yiu, and Nikos Mamoulis, "FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems," SIGMOD 2017. [CCF-A] [pdf] [code] 
  38. Ziyu Lu, Hui Li, Nikos Mamoulis, and David W. Cheung, "HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation," SDM 2017. [CCF-B] [pdf] 
  39. Hui Li, Dingming Wu, Wenbin Tang, and Nikos Mamoulis, "Overlapping Community Regularization for Rating Prediction in Social Recommender Systems," RecSys 2015. [CCF-B] [pdf] [data] [video] 
  40. Hui Li, Dingming Wu, and Nikos Mamoulis, "A Revisit to Social Network-based Recommender Systems," SIGIR 2014. [CCF-A] [pdf] [data]