Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data. - Xiong Zhou; Xianming Liu; Hao Yu; Jialiang Wang 003; Zeke Xie; Junjun Jiang; Xiangyang Ji (ICLR, 2024)

$ epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise. - Jialiang Wang 003; Xiong Zhou; Deming Zhai; Junjun Jiang; Xiangyang Ji; Xianming Liu (NeurIPS, 2024)

Joint Asymmetric Loss for Learning with Noisy Labels. - Jialiang Wang 003; Xianming Liu; Xiong Zhou; Gangfeng Hu; Deming Zhai; Junjun Jiang; Xiangyang Ji (CoRR, 2025)

ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise. - Jialiang Wang 003; Xiong Zhou; Deming Zhai; Junjun Jiang; Xiangyang Ji; Xianming Liu (CoRR, 2025)