| 2026 | DASFAA | FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation Generation. | Li Li, Mingyue Cheng, Yuyang Ye, Zhiding Liu, Enhong Chen |
| 2026 | WWW | Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce. | Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai |
| 2026 | WSDM | TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. | Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang, Enhong Chen |
| 2025 | ICLR | Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. | Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen |
| 2025 | ICML | TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation. | Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu |
| 2025 | IJCAI | A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension. | Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu |
| 2025 | IJCAI | TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting. | Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu |
| 2025 | IJCAI | Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting. | Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang |
| 2025 | IJCAI | Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. | Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang |
| 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 | Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. | Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao |
| 2024 | KDD | Generative Pretrained Hierarchical Transformer for Time Series Forecasting. | Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li |
| 2023 | CIKM | Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. | Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen |
| 2023 | WWW | FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. | Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen |
| 2022 | ICDM | One Person, One Model - Learning Compound Router for Sequential Recommendation. | Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen |
| 2022 | WWW | Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. | Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen |