Tao, Yangyu

5 publications

ICML 2025 Scaling Laws for Floating–Point Quantization Training Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang

ICML 2024 Prometheus: Out-of-Distribution Fluid Dynamics Modeling with Disentangled Graph ODE Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo

NeurIPS 2024 Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang

NeurIPS 2021 Node Dependent Local Smoothing for Scalable Graph Learning Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

NeurIPS 2007 Classification via Minimum Incremental Coding Length (MICL) John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, Heung-yeung Shum