Yang, Xianglin

4 publications

ICML 2023 Thompson Sampling with Less Exploration Is Fast and Optimal Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu

NeurIPS 2022 Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong

AAAI 2022 DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei

IJCAI 2022 Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong