no code implementations • 13 Apr 2024 • Yanzeng Li, Cheng Zeng, Jialun Zhong, Ruoyu Zhang, Minhao Zhang, Lei Zou
Simulated Patients (SPs) play a crucial role in clinical medical education by providing realistic scenarios for student practice.
no code implementations • 12 Dec 2023 • Cheng Zeng, YiXuan Xu, Jiaqi Tian
This study explores the robustness of label noise classifiers, aiming to enhance model resilience against noisy data in complex real-world scenarios.
no code implementations • 3 Dec 2023 • Cheng Zeng, Jiaqi Tian, YiXuan Xu
Non-negative matrix factorization (NMF) and its variants have been widely employed in clustering and classification tasks (Long, & Jian , 2021).
1 code implementation • 30 Mar 2023 • Hanqi Jiang, Cheng Zeng, Runnan Chen, Shuai Liang, Yinhe Han, Yichao Gao, Conglin Wang
To address this problem, we propose a neural implicit surface learning method called Depth-NeuS based on depth information optimization for multi-view reconstruction.
1 code implementation • 19 Dec 2022 • Fanxing Liu, Cheng Zeng, Le Zhang, Yingjie Zhou, Qing Mu, Yanru Zhang, Ling Zhang, Ce Zhu
We would like to answer the following questions: (1)How is the performance of time series anomaly detection algorithms when meeting federated learning?
no code implementations • IEEE Xplore 2020 • Yuan Wan, Shengzi Sun, Cheng Zeng
This method reduces the high-dimensional data to the low dimensions and unifies different views to a combined weight matrix.
no code implementations • 27 Jul 2019 • Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang
The quality of data collected from different channels are inconsistent and some of them may not benefit for prediction.
no code implementations • 16 Dec 2018 • Cheng Zeng, Hongming Zhang
Specifically, a new surrogate objective with interior penalty method is proposed to avoid the defect arose from exterior penalty method.