Cao, Yankai

7 publications

NeurIPS 2025 AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning Jingjing Zheng, Wanglong Lu, Yiming Dong, Chaojie Ji, Yankai Cao, Zhouchen Lin

NeurIPS 2025 Differentiable Decision Tree via "ReLU+Argmin" Reformulation Qiangqiang Mao, Jiayang Ren, Yixiu Wang, Chenxuanyin Zou, Jingjing Zheng, Yankai Cao

ECCV 2024 Handling the Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework Jingjing Zheng, Wanglong Lu, Wenzhe Wang, Yankai Cao, Xiaoqin Zhang, Xianta Jiang

NeurIPS 2022 A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree Kaixun Hua, Jiayang Ren, Yankai Cao

NeurIPS 2022 Global Optimal K-Medoids Clustering of One Million Samples Jiayang Ren, Kaixun Hua, Yankai Cao

ICML 2022 Global Optimization of K-Center Clustering Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao

ICML 2021 A Scalable Deterministic Global Optimization Algorithm for Clustering Problems Kaixun Hua, Mingfei Shi, Yankai Cao