Wang, Wenjian

8 publications

MLJ 2025 An Interpretable Sample Selection Framework Against Numerical Label Noise Gaoxia Jiang, Wenjian Wang

ICML 2025 Can DBNNs Robust to Environmental Noise for Resource-Constrained Scenarios? Wendong Zheng, Junyang Chen, Husheng Guo, Wenjian Wang

CVPR 2025 Directional Label Diffusion Model for Learning from Noisy Labels Senyu Hou, Gaoxia Jiang, Jia Zhang, Shangrong Yang, Husheng Guo, Yaqing Guo, Wenjian Wang

NeurIPS 2025 Noisy Multi-Label Learning Through Co-Occurrence-Aware Diffusion Senyu Hou, Yuru Ren, Gaoxia Jiang, Wenjian Wang

AAAI 2024 Which Is More Effective in Label Noise Cleaning, Correction or Filtering? Gaoxia Jiang, Jia Zhang, Xuefei Bai, Wenjian Wang, Deyu Meng

CVPR 2022 Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer Wenjian Wang, Lijuan Duan, Yuxi Wang, Qing En, Junsong Fan, Zhaoxiang Zhang

JMLR 2021 A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang

IJCAI 2015 Robust Multiple Kernel K-Means Using L21-Norm Liang Du, Peng Zhou, Lei Shi, Hanmo Wang, Mingyu Fan, Wenjian Wang, Yi-Dong Shen