Zobrazeno 1 - 10
of 21 992
pro vyhledávání: '"ZHANG, Zheng"'
Cognitive radio networks (CRNs) have traditionally focused on utilizing idle channels to enhance spectrum efficiency. However, as wireless networks grow denser, channel-centric strategies face increasing limitations. This paper introduces a paradigm
Externí odkaz:
http://arxiv.org/abs/2412.07040
The resilience of convolutional neural networks against input variations and adversarial attacks remains a significant challenge in image recognition tasks. Motivated by the need for more robust and reliable image recognition systems, we propose the
Externí odkaz:
http://arxiv.org/abs/2412.07022
Table-based reasoning has garnered substantial research interest, particularly in its integration with Large Language Model (LLM) which has revolutionized the general reasoning paradigm. Numerous LLM-based studies introduce symbolic tools (e.g., data
Externí odkaz:
http://arxiv.org/abs/2412.04272
Autor:
Zhang, Zheng, Chluba, Jens
This paper presents 'SpyDust', an improved and extended implementation of the spinning dust emission model based on a Fokker-Planck treatment. 'SpyDust' serves not only as a Python successor to 'spdust', but also incorporates some corrections and ext
Externí odkaz:
http://arxiv.org/abs/2412.03431
Autor:
Bai, Zechen, Gao, Jianxiong, Gao, Ziteng, Wang, Pichao, Zhang, Zheng, He, Tong, Shou, Mike Zheng
Visual tokenizers are fundamental to image generation. They convert visual data into discrete tokens, enabling transformer-based models to excel at image generation. Despite their success, VQ-based tokenizers like VQGAN face significant limitations d
Externí odkaz:
http://arxiv.org/abs/2411.16681
Autor:
Sun, Xinjie, Liu, Qi, Zhang, Kai, Shen, Shuanghong, Wang, Fei, Zhuang, Yan, Zhang, Zheng, Gong, Weiyin, Wang, Shijin, Yang, Lina, Huo, Xingying
Cognitive diagnosis (CD) aims to reveal students' proficiency in specific knowledge concepts. With the increasing adoption of intelligent education applications, accurately assessing students' knowledge mastery has become an urgent challenge. Althoug
Externí odkaz:
http://arxiv.org/abs/2412.04488
To address communication latency issues, the Third Generation Partnership Project (3GPP) has defined Cellular-Vehicle to Everything (C-V2X) technology, which includes Vehicle-to-Vehicle (V2V) communication for direct vehicle-to-vehicle communication.
Externí odkaz:
http://arxiv.org/abs/2411.13104
Autor:
Zhang, Zheng, Nguyen, Cuong, Wells, Kevin, Do, Thanh-Toan, Rosewarne, David, Carneiro, Gustavo
Human-AI cooperative classification (HAI-CC) approaches aim to develop hybrid intelligent systems that enhance decision-making in various high-stakes real-world scenarios by leveraging both human expertise and AI capabilities. Current HAI-CC methods
Externí odkaz:
http://arxiv.org/abs/2411.11976
Back propagation (BP) is the default solution for gradient computation in neural network training. However, implementing BP-based training on various edge devices such as FPGA, microcontrollers (MCUs), and analog computing platforms face multiple maj
Externí odkaz:
http://arxiv.org/abs/2411.05873
Learners sharing similar implicit cognitive states often display comparable observable problem-solving performances. Leveraging collaborative connections among such similar learners proves valuable in comprehending human learning. Motivated by the su
Externí odkaz:
http://arxiv.org/abs/2411.02066