ICML全称为国际机器学习会议（International Conference on Machine Learning）是机器学习领域的国际顶级（CCF-A类）学术会议。该会议每年举办一次，由国际机器学习协会（International Machine Learning Society）主办，2025年将于7月13日-19日在加拿大温哥华举行。吉林大学人工智能学院的老师和同学作为主要作者有5篇论文被该会议接收。
论文题目：FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
主要作者：Ganyu Wang, Jinjie Fang, Maxwell Juncheng Yin, Bin Gu, Xi Chen, Boyu Wang, Yi Chang, Charles Ling
论文题目：Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Convergence Guarantees
主要作者：William de Vazelhes, Xiaotong Yuan, Bin Gu
论文题目：Temporal Misalignment in ANN-SNN Conversion and Its Mitigation via Probabilistic Spiking Neurons
主要作者：Velibor Bojkovic, Xiaofeng Wu, Bin Gu
论文题目：Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
主要作者：Yadong Sun, Xiaofeng Cao, Ivor Tsang, Heng Tao Shen
论文题目：Calibrating Video Watch-time Predictions with Credible Prototype Alignment
主要作者：Shisong Tang, Chao Cui, Fan Li, Jiechao Gao, Hechang Chen
