Zobrazeno 1 - 10
of 9 679
pro vyhledávání: '"ZENG, Yi"'
While passive acoustic mapping (PAM) has been advanced for monitoring acoustic cavitation activity in focused ultrasound (FUS) therapy, achieving both real-time and high-quality imaging capabilities is still challenging. The angular spectrum (AS) met
Externí odkaz:
http://arxiv.org/abs/2412.02413
Passive acoustic mapping (PAM) is a promising tool for monitoring acoustic cavitation activities in the applications of ultrasound therapy. Data-adaptive beamformers for PAM have better image quality compared to the time exposure acoustics (TEA) algo
Externí odkaz:
http://arxiv.org/abs/2412.02327
Musical mode is one of the most critical element that establishes the framework of pitch organization and determines the harmonic relationships. Previous works often use the simplistic and rigid alignment method, and overlook the diversity of modes.
Externí odkaz:
http://arxiv.org/abs/2411.14773
Autor:
Lu, Xudong, Chen, Yinghao, Chen, Cheng, Tan, Hui, Chen, Boheng, Xie, Yina, Hu, Rui, Tan, Guanxin, Wu, Renshou, Hu, Yan, Zeng, Yi, Wu, Lei, Bian, Liuyang, Wang, Zhaoxiong, Liu, Long, Yang, Yanzhou, Xiao, Han, Zhou, Aojun, Wen, Yafei, Chen, Xiaoxin, Ren, Shuai, Li, Hongsheng
The emergence and growing popularity of multimodal large language models (MLLMs) have significant potential to enhance various aspects of daily life, from improving communication to facilitating learning and problem-solving. Mobile phones, as essenti
Externí odkaz:
http://arxiv.org/abs/2411.10640
Spiking Neural Networks (SNNs) has the ability to extract spatio-temporal features due to their spiking sequence. While previous research has primarily foucus on the classification of image and reinforcement learning. In our paper, we put forward nov
Externí odkaz:
http://arxiv.org/abs/2411.09953
With the rapidly increasing capabilities and adoption of code agents for AI-assisted coding, safety concerns, such as generating or executing risky code, have become significant barriers to the real-world deployment of these agents. To provide compre
Externí odkaz:
http://arxiv.org/abs/2411.07781
By exploiting discrete signal processing and simulating brain neuron communication, Spiking Neural Networks (SNNs) offer a low-energy alternative to Artificial Neural Networks (ANNs). However, existing SNN models, still face high computational costs
Externí odkaz:
http://arxiv.org/abs/2411.06792
Channel estimation and extrapolation are fundamental issues in MIMO communication systems. In this paper, we proposed the quasi-Newton orthogonal matching pursuit (QNOMP) approach to overcome these issues with high efficiency while maintaining accura
Externí odkaz:
http://arxiv.org/abs/2411.06082
Autor:
Karinshak, Elise, Hu, Amanda, Kong, Kewen, Rao, Vishwanatha, Wang, Jingren, Wang, Jindong, Zeng, Yi
Immense effort has been dedicated to minimizing the presence of harmful or biased generative content and better aligning AI output to human intention; however, research investigating the cultural values of LLMs is still in very early stages. Cultural
Externí odkaz:
http://arxiv.org/abs/2411.06032
As AI closely interacts with human society, it is crucial to ensure that its decision-making is safe, altruistic, and aligned with human ethical and moral values. However, existing research on embedding ethical and moral considerations into AI remain
Externí odkaz:
http://arxiv.org/abs/2410.21882