Ye, Yunming

18 publications

CVPR 2025 AlphaPre: Amplitude-Phase Disentanglement Model for Precipitation Nowcasting Kenghong Lin, Baoquan Zhang, Demin Yu, Wenzhi Feng, Shidong Chen, Feifan Gao, Xutao Li, Yunming Ye

AAAI 2025 AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting Zihao Han, Baoquan Zhang, Lisai Zhang, Shanshan Feng, Kenghong Lin, Guotao Liang, Yunming Ye, Joeq, Kola Ye

AAAI 2025 Integrating Multi-Source Data for Long Sequence Precipitation Forecasting Demin Yu, Wenzhi Feng, Kenghong Lin, Xutao Li, Yunming Ye, Chuyao Luo, Wenchuan Du

ICML 2025 Perceptually Constrained Precipitation Nowcasting Model Wenzhi Feng, Xutao Li, Zhe Wu, Kenghong Lin, Demin Yu, Yunming Ye, Yaowei Wang

CVPR 2025 Sensitivity-Aware Efficient Fine-Tuning via Compact Dynamic-Rank Adaptation Tianran Chen, Jiarui Chen, Baoquan Zhang, Zhehao Yu, Shidong Chen, Rui Ye, Xutao Li, Yunming Ye

CVPR 2025 Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text Guotao Liang, Baoquan Zhang, Zhiyuan Wen, Junteng Zhao, Yunming Ye, Kola Ye, Yao He

CVPR 2024 Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling Baoquan Zhang, Huaibin Wang, Chuyao Luo, Xutao Li, Guotao Liang, Yunming Ye, Xiaochen Qi, Yao He

CVPR 2024 DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting Demin Yu, Xutao Li, Yunming Ye, Baoquan Zhang, Chuyao Luo, Kuai Dai, Rui Wang, Xunlai Chen

NeurIPS 2024 LG-VQ: Language-Guided Codebook Learning Guotao Liang, Baoquan Zhang, Yaowei Wang, Xutao Li, Yunming Ye, Huaibin Wang, Chuyao Luo, Kola Ye, Linfeng Luo

AAAI 2024 MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang, Chuyao Luo, Demin Yu, Xutao Li, Huiwei Lin, Yunming Ye, Bowen Zhang

AAAI 2024 iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction Xu Huang, Chuyao Luo, Bowen Zhang, Huiwei Lin, Xutao Li, Yunming Ye

CVPR 2023 PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning Huiwei Lin, Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye

IJCAI 2022 Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye

AAAI 2022 MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye

CVPR 2021 Prototype Completion with Primitive Knowledge for Few-Shot Learning Baoquan Zhang, Xutao Li, Yunming Ye, Zhichao Huang, Lisai Zhang

IJCAI 2020 MR-GCN: Multi-Relational Graph Convolutional Networks Based on Generalized Tensor Product Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng

IJCAI 2017 DeepFM: A Factorization-Machine Based Neural Network for CTR Prediction Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He

AAAI 2017 Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting Xutao Li, Yunming Ye, Xiaofei Xu