Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Cheng, Jieren"'
In this work, we present a novel framework for camera relocation in autonomous vehicles, leveraging deep neural networks (DNN). While existing literature offers various DNN-based camera relocation methods, their deployment is hindered by their high c
Externí odkaz:
http://arxiv.org/abs/2312.00316
With the development of various applications, such as social networks and knowledge graphs, graph data has been ubiquitous in the real world. Unfortunately, graphs usually suffer from being absent due to privacy-protecting policies or copyright restr
Externí odkaz:
http://arxiv.org/abs/2302.07524
Federated Learning (FL) is a distributed machine learning framework to alleviate the data silos, where decentralized clients collaboratively learn a global model without sharing their private data. However, the clients' Non-Independent and Identicall
Externí odkaz:
http://arxiv.org/abs/2209.13803
Robotic arms are widely used in automatic industries. However, with wide applications of deep learning in robotic arms, there are new challenges such as the allocation of grasping computing power and the growing demand for security. In this work, we
Externí odkaz:
http://arxiv.org/abs/2209.03511
Autor:
Zhou, Zhicheng, Chen, Hailong, Li, Kunhua, Hu, Fei, Yan, Bingjie, Cheng, Jieren, Wei, Xuyan, Liu, Bernie, Li, Xiulai, Chen, Fuwen, Sui, Yongji
Federated Learning (FL) since proposed has been applied in many fields, such as credit assessment, medical, etc. Because of the difference in the network or computing resource, the clients may not update their gradients at the same time that may take
Externí odkaz:
http://arxiv.org/abs/2111.09487
Autor:
Cheng, Jieren, Liu, Le, Tang, Xiangyan, Tu, Wenxuan, Liu, Boyi, Zhou, Ke, Da, Qiaobo, Yang, Yue
Unsupervised domain adaptation aims to train a classification model from the labeled source domain for the unlabeled target domain. Since the data distributions of the two domains are different, the model often performs poorly on the target domain. E
Externí odkaz:
http://arxiv.org/abs/2109.06543
Publikováno v:
In Information Fusion February 2024 102
Deep clustering is a fundamental yet challenging task for data analysis. Recently we witness a strong tendency of combining autoencoder and graph neural networks to exploit structure information for clustering performance enhancement. However, we obs
Externí odkaz:
http://arxiv.org/abs/2012.09600
Distributed network of the computer and the design defects of the TCP protocol are given to the network attack to be multiplicative. Based on the simple and open assumptions of the TCP protocol in academic and collaborative communication environments
Externí odkaz:
http://arxiv.org/abs/2002.01391