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of 183
pro vyhledávání: '"Guo, Zhongwen"'
Neural Radiance Field (NeRF) represents a significant advancement in computer vision, offering implicit neural network-based scene representation and novel view synthesis capabilities. Its applications span diverse fields including robotics, urban ma
Externí odkaz:
http://arxiv.org/abs/2407.11921
Autor:
Liu, Haobing, Ding, Jianyu, Zhu, Yanmin, Tang, Feilong, Yu, Jiadi, Jiang, Ruobing, Guo, Zhongwen
Publikováno v:
Knowledge-Based Systems 2023
Multi-behavioral sequential recommendation has recently attracted increasing attention. However, existing methods suffer from two major limitations. Firstly, user preferences and intents can be described in fine-grained detail from multiple perspecti
Externí odkaz:
http://arxiv.org/abs/2309.14938
Publikováno v:
In Journal of Network and Computer Applications October 2024 230
Publikováno v:
In Applied Soft Computing September 2024 163
Multivariate time series analysis is an important problem in data mining because of its widespread applications. With the increase of time series data available for training, implementing deep neural networks in the field of time series analysis is b
Externí odkaz:
http://arxiv.org/abs/2009.11705
Publikováno v:
In Journal of Network and Computer Applications November 2023 220
Publikováno v:
In Ocean Engineering 1 October 2023 285 Part 2
Akademický článek
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Generative Adversarial Networks (GANs) have a great performance in image generation, but they need a large scale of data to train the entire framework, and often result in nonsensical results. We propose a new method referring to conditional GAN, whi
Externí odkaz:
http://arxiv.org/abs/1811.02132
Publikováno v:
In Journal of Systems Architecture October 2022 131