Yu, Xiaotian

10 publications

IJCAI 2025 Self-Calibration Enhanced Whole Slide Pathology Image Analysis Haoming Luo, Xiaotian Yu, Shengxuming Zhang, Jiabin Xia, Jian Yang, Yuning Sun, Xiuming Zhang, Jing Zhang, Zunlei Feng

IJCAI 2024 Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis Through Self-Reform Critical Region Focusing Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng

IJCAI 2024 Improving Adversarial Robustness via Feature Pattern Consistency Constraint Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song

CVPR 2023 How to Prevent the Continuous Damage of Noises to Model Training? Xiaotian Yu, Yang Jiang, Tianqi Shi, Zunlei Feng, Yuexuan Wang, Mingli Song, Li Sun

AAAI 2022 Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song

ECCV 2020 Accelerating Deep Learning with Millions of Classes Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang

IJCAI 2018 A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang

NeurIPS 2018 Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs Han Shao, Xiaotian Yu, Irwin King, Michael R Lyu

UAI 2018 Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King

AAAI 2017 CBRAP: Contextual Bandits with RAndom Projection Xiaotian Yu, Michael R. Lyu, Irwin King