Shu, Jun

8 publications

TMLR 2025 Diversity-Enhanced and Classification-Aware Prompt Learning for Few-Shot Learning via Stable Diffusion Gaoqin Chang, Jun Shu, Xiang Yuan, Deyu Meng

ICML 2025 Improving Memory Efficiency for Training KANs via Meta Learning Zhangchi Zhao, Jun Shu, Deyu Meng, Zongben Xu

NeurIPS 2024 On the Noise Robustness of In-Context Learning for Text Generation Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei

ICCV 2023 Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian

JMLR 2023 Learning an Explicit Hyper-Parameter Prediction Function Conditioned on Tasks Jun Shu, Deyu Meng, Zongben Xu

AAAI 2021 Learning to Purify Noisy Labels via Meta Soft Label Corrector Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng

ICML 2020 Variational Label Enhancement Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng

NeurIPS 2019 Meta-Weight-Net: Learning an Explicit Mapping for Sample Weighting Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng