Yue, Yun

8 publications

ICLR 2025 EDiT: A Local-SGD-Based Efficient Distributed Training Method for Large Language Models Jialiang Cheng, Ning Gao, Yun Yue, Zhiling Ye, Jiadi Jiang, Jian Sha

AAAI 2024 Integer Is Enough: When Vertical Federated Learning Meets Rounding Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji

WACV 2024 Understanding Hyperbolic Metric Learning Through Hard Negative Sampling Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang

NeurIPS 2023 AGD: An Auto-Switchable Optimizer Using Stepwise Gradient Difference for Preconditioning Matrix Yun Yue, Zhiling Ye, Jiadi Jiang, Yongchao Liu, Ke Zhang

ICCV 2023 Hyperbolic Chamfer Distance for Point Cloud Completion Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D Yamada, Ziming Zhang

NeurIPS 2023 InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori Yamada, Vijaya Kolachalama, Venkatesh Saligrama

ECML-PKDD 2021 Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu

NeurIPS 2021 SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong Zhang