Liu, Zhiding

8 publications

IJCAI 2025 A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu

IJCAI 2025 Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang

NeurIPS 2025 Improving Time Series Forecasting via Instance-Aware Post-Hoc Revision Zhiding Liu, Mingyue Cheng, GuanHao Zhao, Jiqian Yang, Qi Liu, Enhong Chen

IJCAI 2025 TCDM: A Temporal Correlation-Empowered Diffusion Model for Time Series Forecasting Huibo Xu, Likang Wu, Xianquan Wang, Zhiding Liu, Qi Liu

ICML 2025 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu

IJCAI 2025 Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang

ICLR 2025 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

NeurIPS 2023 Adaptive Normalization for Non-Stationary Time Series Forecasting: A Temporal Slice Perspective Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen