Zhai, Deming

10 publications

ICCV 2025 Joint Asymmetric Loss for Learning with Noisy Labels Jialiang Wang, Xianming Liu, Xiong Zhou, Gangfeng Hu, Deming Zhai, Junjun Jiang, Xiangyang Ji

AAAI 2025 Spatial Annealing for Efficient Few-Shot Neural Rendering Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu

NeurIPS 2024 $\epsilon$-SoftMax: Approximating One-Hot Vectors for Mitigating Label Noise Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu

ICLR 2024 Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji

JMLR 2023 On the Dynamics Under the Unhinged Loss and Beyond Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji

ICLR 2022 Learning Towards the Largest Margins Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji

ICML 2022 Prototype-Anchored Learning for Learning with Imperfect Annotations Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji

CVPR 2022 Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji

ICCV 2021 Learning with Noisy Labels via Sparse Regularization Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji

IJCAI 2013 Parametric Local Multimodal Hashing for Cross-View Similarity Search Deming Zhai, Hong Chang, Yi Zhen, Xianming Liu, Xilin Chen, Wen Gao