| 2026 | AAAI | BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation. | Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang |
| 2026 | WWW | STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models. | Huajian Zhang, Mingyue Cheng, Yucong Luo, Xiaoyu Tao |
| 2025 | ACL | HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation. | Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu |
| 2025 | ACL | Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation. | Qitao Qin, Yucong Luo, Yihang Lu, Zhibo Chu, Xiaoman Liu, Xianwei Meng |
| 2025 | CIKM | Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study. | Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen |
| 2025 | SIGIR | GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation. | Junzhe Jiang, Kai Zhang, Junfeng Kang, Yucong Luo, Min Gao |
| 2025 | WSDM | InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. | Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen |
| 2024 | CIKM | Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. | Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen |
| 2024 | DASFAA | Unlocking the Potential of Large Language Models for Explainable Recommendations. | Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen |
| 2024 | DASFAA | Learning Recommender Systems with Soft Target: A Decoupled Perspective. | Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen |
| 2024 | KDD | Generative Pretrained Hierarchical Transformer for Time Series Forecasting. | Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li |
| 2023 | WWW | FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. | Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen |