| 2026 | AAAI | From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs. | Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, Liyang He, Jiatong Li, Rui Li, Shijin Wang |
| 2026 | ACL | From ID to LLM: Rethinking Representation Learning for Recommendation. | Song-Li Wu, Zhaocheng Du, Weinan Gan, Jingyi Wang, Xianquan Wang |
| 2026 | ACL | CaPEdit: Capability-Preserving Lifelong Knowledge Editing For Language Models. | Song-Li Wu, Zhaocheng Du, Xianquan Wang, Jingyi Wang |
| 2026 | WWW | From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals. | Ze Liu, Xianquan Wang, Shuochen Liu, Jie Ma, Huibo Xu, Yupeng Han, Kai Zhang, Jun Zhou |
| 2026 | WWW | FairFS: Addressing Deep Feature Selection Biases for Recommender System. | Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong, Kai Zhang |
| 2026 | SIGIR | Good Ranks Follow Good Answers: Unsupervised Answer-Driven Reranking for Multimodal Document QA. | Keyu Zhu, Shuanghong Shen, Xianquan Wang, Kai Zhang, Shijin Wang, Qi Liu, Zhenya Huang |
| 2025 | AAAI | ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction. | Zixiao Kong, Xianquan Wang, Shuanghong Shen, Keyu Zhu, Huibo Xu, Yu Su |
| 2025 | IJCAI | TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting. | Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu |
| 2025 | KDD | TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. | Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong |
| 2025 | KDD | Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective. | Xianquan Wang, Likang Wu, Zhi Li, Haitao Yuan, Shuanghong Shen, Huibo Xu, Yu Su, Chenyi Lei |
| 2024 | EMNLP | Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis. | Yanjiang Chen, Kai Zhang, Feng Hu, Xianquan Wang, Ruikang Li, Qi Liu |
| 2024 | EMNLP | I-AM-G: Interest Augmented Multimodal Generator for Item Personalization. | Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Hufeng Hufeng, Yu Su, Qi Liu |