祝贺PAMI实验室四篇学术论文被人工智能领域顶级会议ICLR 录用，分别是：

Li, T., Huang, Z., Tao, Q., Wu, Y., & Huang, X. Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions. In International Conference on Learning Representations.

Wu, S., Chen, S., Xie, C., & Huang, X. One-pixel shortcut: on the learning preference of deep neural networks. In International Conference on Learning Representations.

Wu, S., Wang, J., Ping, W., Nie, W., & Xiao, C. Defending against Adversarial Audio via Diffusion Model. In International Conference on Learning Representations.

Chen, S., Yuan, G., Cheng, X., Gong, Y., Qin, M., Wang, Y., & Huang, X. Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. In International Conference on Learning Representations.

其中，吴枢同的《One-pixel shortcut: on the learning preference of deep neural networks》被接收为spotlight.