Zhen, Xingjian

6 publications

ECCV 2022 On the Versatile Uses of Partial Distance Correlation in Deep Learning Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh

AAAI 2021 Flow-Based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

CVPR 2021 Simpler Certified Radius Maximization by Propagating Covariances Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh

CVPR 2020 CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua

ICCV 2019 Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data Xingjian Zhen, Rudrasis Chakraborty, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh

NeurIPS 2018 A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, Baba Vemuri