Ding, Weiyang

5 publications

NeurIPS 2025 Geometric Imbalance in Semi-Supervised Node Classification Liang Yan, Shengzhong Zhang, Bisheng Li, Menglin Yang, Chen Yang, Min Zhou, Weiyang Ding, Yutong Xie, Zengfeng Huang

NeurIPS 2025 Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory Hanru Bai, Weiyang Ding, Difan Zou

ICML 2025 KoNODE: Koopman-Driven Neural Ordinary Differential Equations with Evolving Parameters for Time Series Analysis Hanru Bai, Weiyang Ding

ICLR 2025 KooNPro: A Variance-Aware Koopman Probabilistic Model Enhanced by Neural Process for Time Series Forecasting Ronghua Zheng, Hanru Bai, Weiyang Ding

AAAI 2022 Modify Self-Attention via Skeleton Decomposition for Effective Point Cloud Transformer Jiayi Han, Longbin Zeng, Liang Du, Xiaoqing Ye, Weiyang Ding, Jianfeng Feng