no code implementations • 25 Dec 2023 • Peng Ye, Chenyu Huang, Mingzhu Shen, Tao Chen, Yongqi Huang, Yuning Zhang, Wanli Ouyang
This work targets to merge various Vision Transformers (ViTs) trained on different tasks (i. e., datasets with different object categories) or domains (i. e., datasets with the same categories but different environments) into one unified model, yielding still good performance on each task or domain.
1 code implementation • 30 Oct 2022 • Travis Munyer, Daniel Brinkman, Xin Zhong, Chenyu Huang, Iason Konstantzos
While a large and expensive dataset could be developed to include common FOD examples, it is infeasible to collect all possible FOD examples in the dataset representation because of the open-ended nature of FOD.
no code implementations • 7 Jun 2022 • Yeqing Qiu, Chenyu Huang, Jianzong Wang, Zhangcheng Huang, Jing Xiao
Currently, the federated graph neural network (GNN) has attracted a lot of attention due to its wide applications in reality without violating the privacy regulations.
1 code implementation • 6 Oct 2021 • Travis Munyer, Pei-Chi Huang, Chenyu Huang, Xin Zhong
This paper presents the creation methodology, discusses the publicly available dataset extension process, and demonstrates the practicality of FOD-A with widely used machine learning models for object detection.
1 code implementation • 1 Jun 2021 • Travis J. E. Munyer, Daniel Brinkman, Chenyu Huang, Xin Zhong
Finally, several potential scenarios that could utilize either this dataset or similar methods for other public service are presented.
1 code implementation • 12 Jan 2019 • Huangxun Chen, Chenyu Huang, Qianyi Huang, Qian Zhang, Wei Wang
Deep neural networks (DNNs)-powered Electrocardiogram (ECG) diagnosis systems recently achieve promising progress to take over tedious examinations by cardiologists.