Please refer to my [Google Scholar] for our recent papers.
*: 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 2025. [pdf] [code] 
  2. Yanlin Wang, Wanjun Zhong, Yanxian Huang, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, and Zibin Zheng, "Agents in software engineering: survey, landscape, and vision," ASE 2025. [pdf] 
  3. Jiadong Feng, Wei Li, Suhuang Wu, Zhao Wei, Yong Xu, Juhong Wang, and Hui Li*, "Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning," TKDD 2025. [pdf] [code] 
  4. 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. [pdf] [code] 
  5. Hui Li, Lianyun Li, Guipeng Xv, Chen Lin, Ke Li, and Bingchuan Jiang, "SPEX: A Generic Framework for Enhancing Neural Social Recommendation," TOIS 2022. [pdf] [code] 
  6. Hui Li, Yanlin Wang, Ziyu Lyu, and Jieming Shi, "Multi-task Learning for Recommendation over Heterogeneous Information Network," TKDE 2022. [pdf] 
  7. Yuqiu Qian, Conghui Tan, Danhao Ding, Hui Li*, and Nikos Mamoulis, "Fast and Secure Distributed Nonnegative Matrix Factorization," TKDE 2022. [pdf] [code] 
  8. Chen Lin, Zhichao Ouyang, Xiaoli Wang, Hui Li, and Zhenhua Huang, "Preserve Integrity in Realtime Event Summarization," TKDD 2021. [pdf] [code] 
  9. Ziyu Lyu, Min Yang, and Hui Li, "Multi-view Group Representation Learning for Location-aware Group Recommendation," Information Sciences 2021. [pdf] 
  10. Hui Li*, Ye Liu, Nikos Mamoulis, and David S. Rosenblum, "Translation-Based Sequential Recommendation for Complex Users on Sparse Data," TKDE 2020. [pdf] [data] 
  11. Cheng Wang, Mathias Niepert, and Hui Li*, "RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems," TNNLS 2020. [pdf] 
  12. Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, and David W. Cheung, "HHMF: Hidden Hierarchical Matrix Factorization for Recommender Systems," DMKD 2019. [pdf] [data] 

Selected Conference Papers

  1. Kun Yang, Yuxuan Zhu, Yazhe Chen, Siyao Zheng, Bangyang Hong, Kangle Wu, Yabo Ni, Anxiang Zeng, Cong Fu, and Hui Li*, "ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation," KDD 2026. [pdf] [code] 
  2. Zhengjia Zhong, Shuyan Ke, Zaizhou Lin, Jiaqi Song, Hongyi Lan, and Hui Li*, "RQ-MoE: Residual Quantization via Mixture of Experts for Efficient Input-Dependent Vector Compression," ICML 2026. [pdf] [code] 
  3. Shuquan Lian, Juncheng Liu, Yazhe Chen, Yuhong Chen, and Hui Li*, "SWE-AGILE: A Software Agent Framework for Efficiently Managing Dynamic Reasoning Context," ACL Findings 2026. [pdf] [code] 
  4. Shuyan Ke, Qiong Wu, Hui Li*, and Liujuan Cao, "SEC-FinTables: Evaluating Large Language Models for Detecting Logical Inconsistencies on Tabular Data," ACL Findings 2026. [pdf] [code] 
  5. Hongyi Lan, Jiaqi Song, Zhengjia Zhong, Hui Li, Hong Liu, Xianming Lin, and Rongrong Ji, "EMA: An Episodic Memory Agent for Efficient and Selective Memory," ACL Findings 2026. [pdf] [code] 
  6. Shuquan Lian, Yuhang Wu, Jia Ma, Yifan Ding, Zihan Song, Bingqi Chen, Xiawu Zheng, Hui Li*, and Rongrong Ji, "UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding," CVPR Findings 2026. [pdf] [code] 
  7. Canyi Liu, Tianyi Li, Wei Li, Youchen Zhang, Xiaodong Li, and Hui Li*, "Hybrid Dual-Semantics Modeling for Enhancing Large Language Model Based Recommendation," WSDM 2026. [pdf] [code] 
  8. Kun Yang, Siyao Zheng, Tianyi Li, Xiaodong Li, and Hui Li*, "GENPLUGIN: A Plug-and-Play Framework for Long-Tail Generative Recommendation with Exposure Bias Mitigation," DASFAA 2026. [pdf] [code] 
  9. Jin Zeng, Yupeng Qi, Hui Li, Chengming Li, Ziyu Lyu, Lixin Cui, and Lu Bai, "RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation," WWW 2026. [pdf] 
  10. Ze Lin, Yuqiu Qian, Xiaodong Li, Ziyu Lyu, and Hui Li*, "SC-DAG: Semantic-Constrained Diffusion Attacks for Stealthy Exposure Manipulation in Visually-Aware Recommender Systems," CIKM 2025. [pdf] [code] 
  11. Sheng Zhang, Yifan Ding, Shuquan Lian, Shun Song, and Hui Li*, "CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion," EMNLP 2025. [pdf] [code] 
  12. 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. [pdf] [code] 
  13. 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.
  14. 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. [pdf] 
  15. Sheng Zhang, Hui Li*, and Rongrong Ji, "Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models," EMNLP Findings 2024. [pdf] [code] 
  16. Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, and Hui Li*, "Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph," DASFAA 2024. [pdf] [code] 
  17. 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] 
  18. 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. [pdf] [code] 
  19. Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, and Hui Li*, "Practical Cross-System Shilling Attacks with Limited Access to Data," AAAI 2023. [pdf] [code] 
  20. Chengzhi Huang and Hui Li*, "Single-User Injection for Invisible Shilling Attack against Recommender Systems," CIKM 2023. [pdf] [code] 
  21. Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, and Yonghong Tian, "Knowledge Prompt-tuning for Sequential Recommendation," ACM MM 2023. [pdf] 
  22. 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. [pdf] 
  23. 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. [pdf] [code] 
  24. 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. [pdf] 
  25. 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.
  26. 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. [pdf] [code] 
  27. 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.
  28. Guipeng Xv, Xinyi Liu, Chen Lin, Hui Li, Chenliang Li, and Zhenhua Huang, "Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation," CIKM 2022.
  29. 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.
  30. Chen Lin, Junqing Zhuang, Jiadong Feng, Hui Li, Xuanhe Zhou, and Guoliang Li, "Adaptive Code Learning for Spark Configuration Tuning," ICDE 2022.
  31. Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye, and Yewang Chen, "Neutralizing Popularity Bias in Recommendation Models," SIGIR 2022.
  32. 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. [pdf] [code] 
  33. Yanlin Wang and Hui Li*, "Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs," AAAI 2021. [pdf] 
  34. 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. [pdf] [code] 
  35. Chen Lin, Xinyi Liu, Guipeng Xv, and Hui Li*, "Mitigating Sentiment Bias for Recommender Systems," SIGIR 2021. [pdf] 
  36. Shuai Fan, Hui Li, Chen Lin, and Quan Zou, "News Popularity Prediction with Local-Global Long-Short-Term Embedding," WISE 2021.
  37. Si Chen, Yuqiu Qian, Hui Li*, and Chen Lin, "Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels," SSTD 2021. [pdf] 
  38. Yunsen Hong, Hui Li, Yanghua Xiao, Ryan McBride, and Chen Lin, "SILVER: Generating Persuasive Chinese Product Pitch," PAKDD 2021. [pdf] 
  39. Chen Lin, Si Chen, Hui Li*, Yanghua Xiao, Lianyun Li, and Qian Yang, "Attacking Recommender Systems with Augmented User Profiles," CIKM 2020. [pdf] [code] 
  40. Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, and Hui Li, "TransRev: Modeling Reviews as Translations from Users to Items," ECIR 2020. [pdf] 
  41. Yunsen Hong, Hui Li, Xiaoli Wang, and Chen Lin, "DEAMER: a Deep Exposure-Aware Multimodal Content-based Recommendation System," DASFAA 2020. [pdf] 
  42. Yunjie Wang, Hui Li, and Chen Lin, "Modeling Sentiment Evolution for Social Incidents," CIKM 2019. [pdf] 
  43. Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, and David S. Rosenblum, "MMKG: Multi-modal Knowledge Graphs," ESWC 2019. [pdf] [data] 
  44. Yanjie Wang, Rainer Gemulla, and Hui Li, "On Multi-Relational Link Prediction With Bilinear Models," AAAI 2018. [pdf] [code] 
  45. Cheng Wang, Mathias Niepert, and Hui Li, "LRMM: Learning to Recommend with Missing Modalities," EMNLP 2018. [pdf] 
  46. Danhao Ding, Hui Li, Zhipeng Huang, and Nikos Mamoulis, "Efficient Fault-Tolerant Group Recommendation Using alpha-beta-core," CIKM 2017. [pdf] 
  47. Yuqiu Qian, Hui Li, Nikos Mamoulis, Yu Liu, and David W. Cheung, "Reverse k-Ranks Queries on Large Graphs," EDBT 2017. [pdf] 
  48. Hui Li, Tsz Nam Chan, Man Lung Yiu, and Nikos Mamoulis, "FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems," SIGMOD 2017. [pdf] [code] 
  49. Ziyu Lu, Hui Li, Nikos Mamoulis, and David W. Cheung, "HBGG: a Hierarchical Bayesian Geographical Model for Group Recommendation," SDM 2017. [pdf] 
  50. Hui Li, Dingming Wu, Wenbin Tang, and Nikos Mamoulis, "Overlapping Community Regularization for Rating Prediction in Social Recommender Systems," RecSys 2015. [pdf] [data] [video] 
  51. Hui Li, Dingming Wu, and Nikos Mamoulis, "A Revisit to Social Network-based Recommender Systems," SIGIR 2014. [pdf] [data]