Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Huang, Chenyu"'
Autor:
Tang, Zhengyang, Huang, Chenyu, Zheng, Xin, Hu, Shixi, Wang, Zizhuo, Ge, Dongdong, Wang, Benyou
Large Language Models (LLMs) have emerged as powerful tools for tackling complex Operations Research (OR) problem by providing the capacity in automating optimization modeling. However, current methodologies heavily rely on prompt engineering (e.g.,
Externí odkaz:
http://arxiv.org/abs/2405.17743
The success of pretrain-finetune paradigm brings about the release of numerous model weights. In this case, merging models finetuned on different tasks to enable a single model with multi-task capabilities is gaining increasing attention for its prac
Externí odkaz:
http://arxiv.org/abs/2405.17461
Autor:
Ye, Peng, Huang, Chenyu, Shen, Mingzhu, Chen, Tao, Huang, Yongqi, Zhang, Yuning, Ouyang, Wanli
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, yieldin
Externí odkaz:
http://arxiv.org/abs/2312.16240
Differentially private stochastic gradient descent (DP-SGD) adds noise to gradients in back-propagation, safeguarding training data from privacy leakage, particularly membership inference. It fails to cover (inference-time) threats like embedding inv
Externí odkaz:
http://arxiv.org/abs/2309.06746
Supervised object detection methods provide subpar performance when applied to Foreign Object Debris (FOD) detection because FOD could be arbitrary objects according to the Federal Aviation Administration (FAA) specification. Current supervised objec
Externí odkaz:
http://arxiv.org/abs/2210.16901
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. Among all the privacy-preserving technologies, the differential privacy (DP) is th
Externí odkaz:
http://arxiv.org/abs/2206.03492
Foreign Object Debris (FOD) detection has attracted increased attention in the area of machine learning and computer vision. However, a robust and publicly available image dataset for FOD has not been initialized. To this end, this paper introduces a
Externí odkaz:
http://arxiv.org/abs/2110.03072
Unmanned Aircraft Systems (UAS) have become an important resource for public service providers and smart cities. The purpose of this study is to expand this research area by integrating computer vision and UAS technology to automate public inspection
Externí odkaz:
http://arxiv.org/abs/2106.00161
In today's blockchain system, designing a secure and high throughput blockchain on par with a centralized payment system is a difficult task. Sharding is one of the most worthwhile emerging technologies for improving the system throughput while maint
Externí odkaz:
http://arxiv.org/abs/1901.05741
Deep neural networks (DNNs)-powered Electrocardiogram (ECG) diagnosis systems recently achieve promising progress to take over tedious examinations by cardiologists. However, their vulnerability to adversarial attacks still lack comprehensive investi
Externí odkaz:
http://arxiv.org/abs/1901.03808