Zobrazeno 1 - 10
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pro vyhledávání: '"Fu, Hongyu"'
Autor:
Hu, Xiang, Fu, Hongyu, Wang, Jinge, Wang, Yifeng, Li, Zhikun, Xu, Renjun, Lu, Yu, Jin, Yaochu, Pan, Lili, Lan, Zhenzhong
Scientific innovation is pivotal for humanity, and harnessing large language models (LLMs) to generate research ideas could transform discovery. However, existing LLMs often produce simplistic and repetitive suggestions due to their limited ability i
Externí odkaz:
http://arxiv.org/abs/2410.14255
Existing volumetric neural rendering techniques, such as Neural Radiance Fields (NeRF), face limitations in synthesizing high-quality novel views when the camera poses of input images are imperfect. To address this issue, we propose a novel 3D recons
Externí odkaz:
http://arxiv.org/abs/2310.09776
Autor:
Fu, Hongyu, Yang, Yijing, Liu, Yuhuai, Lin, Joseph, Harrison, Ethan, Mishra, Vinod K., Kuo, C. -C. Jay
Built upon the decision tree (DT) classification and regression idea, the subspace learning machine (SLM) has been recently proposed to offer higher performance in general classification and regression tasks. Its performance improvement is reached at
Externí odkaz:
http://arxiv.org/abs/2208.07023
Supervised and unsupervised deep trackers that rely on deep learning technologies are popular in recent years. Yet, they demand high computational complexity and a high memory cost. A green unsupervised single-object tracker, called GUSOT, that aims
Externí odkaz:
http://arxiv.org/abs/2207.07629
The design of robust learning systems that offer stable performance under a wide range of supervision degrees is investigated in this work. We choose the image classification problem as an illustrative example and focus on the design of modularized s
Externí odkaz:
http://arxiv.org/abs/2206.09061
Inspired by the feedforward multilayer perceptron (FF-MLP), decision tree (DT) and extreme learning machine (ELM), a new classification model, called the subspace learning machine (SLM), is proposed in this work. SLM first identifies a discriminant s
Externí odkaz:
http://arxiv.org/abs/2205.05296
The application of machine learning to image and video data often yields a high dimensional feature space. Effective feature selection techniques identify a discriminant feature subspace that lowers computational and modeling costs with little perfor
Externí odkaz:
http://arxiv.org/abs/2203.11924
Publikováno v:
In Engineering Failure Analysis September 2024 163 Part B
Autor:
Luo, Weikeng, Fu, Hongyu, Lu, Qiyuan, Li, Bowen, Cao, Xue, Chen, Sifan, Liu, Ruijuan, Tang, Bin, Yan, Xiao, Zheng, Jing
Publikováno v:
In Journal of Environmental Management August 2024 366
Autor:
Fu, Hongyu, Peng, Sisu, Li, Pengcheng, Teng, Chuanxin, Caucheteur, Christophe, Qu, Hang, Hu, Xuehao
Publikováno v:
In Optics and Laser Technology August 2024 175