no code implementations • 24 Apr 2024 • Hanwei Zhang, Ying Zhu, Dan Wang, Lijun Zhang, Tianxiang Chen, Zi Ye
This encompasses general visual tasks, Medical visual tasks (e. g., 2D / 3D segmentation, classification, and image registration, etc.
no code implementations • 4 Mar 2024 • Wee Chaimanowong, Ying Zhu
Permutation invariance is among the most common symmetry that can be exploited to simplify complex problems in machine learning (ML).
no code implementations • 19 Aug 2023 • Yunwen Huang, Hongyu Hu, Ying Zhu, Yi Xu
In this work, we propose a multi-modality breast tumor diagnosis model to imitate the diagnosing process of radiologists, which learns the features of both static images and dynamic video and explores the potential relationship between the two modalities.
no code implementations • 23 Feb 2023 • Yushan Qian, Bo wang, Ting-En Lin, Yinhe Zheng, Ying Zhu, Dongming Zhao, Yuexian Hou, Yuchuan Wu, Yongbin Li
Empathetic dialogue is a human-like behavior that requires the perception of both affective factors (e. g., emotion status) and cognitive factors (e. g., cause of the emotion).
no code implementations • 28 May 2022 • Hanqing Guo, Qiben Yan, Nikolay Ivanov, Ying Zhu, Li Xiao, Eric J. Hunter
Our evaluation shows that SUPERVOICE achieves 0. 58% equal error rate in the speaker verification task, it only takes 120 ms for testing an incoming utterance, outperforming all existing speaker verification systems.
no code implementations • 27 Apr 2022 • Haitian Xie, Ying Zhu, Denis Shishkin
The second set of results proposes the $K$-markets empirical revenue maximization (ERM) strategy and shows that the $K$-markets ERM and the uniform ERM strategies achieve the optimal rate of convergence in revenue to that generated by their respective true-distribution 3PD and uniform pricing optima.
no code implementations • 7 Dec 2021 • Ying Zhu
Our metric entropy bounds allow us to show phase transitions in the minimax optimal MISE rates associated with some commonly seen smoothness classes as well as non-standard smoothness classes, and can also be of independent interest outside the nonparametric regression problems.
no code implementations • 23 Nov 2020 • Ying Zhu, Mozhgan Mirzaei
Many numerical methods for recovering ODE solutions from data rely on approximating the solutions using basis functions or kernel functions under a least square criterion.
no code implementations • CVPR 2014 • Erkang Cheng, Yu Pang, Ying Zhu, Jingyi Yu, Haibin Ling
Robust tracking of deformable object like catheter or vascular structures in X-ray images is an important technique used in image guided medical interventions for effective motion compensation and dynamic multi-modality image fusion.