| 2026 | AAAI | MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation. | Yige Wang, Mingming Li, Li Wang, Kaichen Zhao, Wangming Li, Weipeng Jiang, Xueying Li |
| 2026 | AAAI | Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning. | Zhihao Zhou, Rui Li, Xueying Li |
| 2025 | ACL | MotiR: Motivation-aware Retrieval for Long-Tail Recommendation. | Kaichen Zhao, Mingming Li, Haiquan Zhao, Kuien Liu, Zhixu Li, Xueying Li |
| 2025 | ICPADS | HiPOD: Hierarchical Pruning for Low-Distinction Multi-Scale Object Detection on Edge Devices. | Jieyu Zhou, Feng Lyu, Mingliu Liu, Hao Wu, Xueying Li, Fan Wu, Yaoxue Zhang |
| 2024 | ECCV | DreamTexture: High-Fidelity Synthetic 3D Data Generation Through Decoupled Geometry and Texture Synthesis. | Jing Li, Yawei Luo, Ying Li, Xueying Li, Xiaoxue Li, Yuwen Hao, Lijun Wang, Zhengping Li |
| 2024 | KDD | When Box Meets Graph Neural Network in Tag-aware Recommendation. | Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu, Suojuan Zhang, Enhong Chen |
| 2023 | AAAI | Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity. | Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli |
| 2023 | DASFAA | Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning. | Xi Zhu, Pengfei Luo, Ziwei Zhao, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Enhong Chen |
| 2023 | ICA3PP | A Novel Network Topology Sensing Method for Network Security Situation Awareness. | Yixuan Wang, Bo Zhao, Zhonghao Sun, Zhihui Huo, Xueying Li, Yabiao Wu, Jiao Li |
| 2023 | SIGIR | Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. | Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen |
| 2023 | SIGMETRICS | Streaming Algorithms for Constrained Submodular Maximization. | Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li |
| 2021 | EASE | A Machine Learning Based Ensemble Method for Automatic Multiclass Classification of Decisions. | Liming Fu, Peng Liang, Xueying Li, Chen Yang |
| 2021 | ICDM | Jointly Multi-Similarity Loss for Deep Metric Learning. | Li Zhang, Shitian Shen, Lingxiao Li, Han Wang, Xueying Li, Jun Lang |
| 2020 | EASE | Automatic Identification of Decisions from the Hibernate Developer Mailing List. | Xueying Li, Peng Liang, Zengyang Li |
| 2020 | ESEM | Automatic Identification of Code Smell Discussions on Stack Overflow: A Preliminary Investigation. | Sergei Shcherban, Peng Liang, Amjed Tahir, Xueying Li |
| 2019 | APSEC | Decisions and Their Making in OSS Development: An Exploratory Study Using the Hibernate Developer Mailing List. | Xueying Li, Peng Liang, Tianqing Liu |
| 2015 | BigData | Privacy Preserving Data Analysis in Mental Health Research. | Jingquan Li, Xueying Li |
| 2012 | MDM | BP-growth: Searching Strategies for Efficient Behavior Pattern Mining. | Xueying Li, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian |