Zobrazeno 1 - 10
of 19 197
pro vyhledávání: '"YANG, Hao"'
Autor:
Chan, Yang-hao, Haber, Jonah B., Naik, Mit H., Louie, Steven G., Neaton, Jeffrey B., da Jornada, Felipe H., Qiu, Diana Y.
Understanding exciton thermalization is critical for optimizing optoelectronic and photocatalytic processes in many materials. However, it is hard to access the dynamics of such processes experimentally, especially on systems such as monolayer transi
Externí odkaz:
http://arxiv.org/abs/2412.04001
Chain-of-Thought prompting has significantly enhanced the reasoning capabilities of large language models, with numerous studies exploring factors influencing its performance. However, the underlying mechanisms remain poorly understood. To further de
Externí odkaz:
http://arxiv.org/abs/2412.03944
Autor:
Ji, Yuhe, Liu, Yilun, Yao, Feiyu, He, Minggui, Tao, Shimin, Zhao, Xiaofeng, Chang, Su, Yang, Xinhua, Meng, Weibin, Xie, Yuming, Chen, Boxing, Yang, Hao
The increasing complexity of computer systems necessitates innovative approaches to fault and error management, going beyond traditional manual log analysis. While existing solutions using large language models (LLMs) show promise, they are limited b
Externí odkaz:
http://arxiv.org/abs/2412.01377
As a fine-grained task, multimodal aspect-based sentiment analysis (MABSA) mainly focuses on identifying aspect-level sentiment information in the text-image pair. However, we observe that it is difficult to recognize the sentiment of aspects in low-
Externí odkaz:
http://arxiv.org/abs/2412.01249
Autor:
Bierwage, Andreas, Lauber, Philipp, Nakajima, Noriyoshi, Shinohara, Kouji, Brochard, Guillaume, Ghim, Young-chul, Lee, Wonjun, Matsuyama, Akinobu, Sumida, Shuhei, Yang, Hao, Yagi, Masatoshi
The contribution of a time-independent toroidally-symmetric radial electric field $E_r$ is implemented in VisualStart [Comp. Phys. Comm. 275 (2022) 108305; arXiv:2111.08224], a code whose purposes include the construction of guiding center (GC) drift
Externí odkaz:
http://arxiv.org/abs/2411.19288
Accurate segmentation of blood vessels is essential for various clinical assessments and postoperative analyses. However, the inherent challenges of vascular imaging, such as sparsity, fine granularity, low contrast, data distribution variability, an
Externí odkaz:
http://arxiv.org/abs/2411.15251
Autor:
Yu, Jiawei, Li, Yuang, Qiao, Xiaosong, Zhao, Huan, Zhao, Xiaofeng, Tang, Wei, Zhang, Min, Yang, Hao, Su, Jinsong
Text-to-speech (TTS) models have been widely adopted to enhance automatic speech recognition (ASR) systems using text-only corpora, thereby reducing the cost of labeling real speech data. Existing research primarily utilizes additional text data and
Externí odkaz:
http://arxiv.org/abs/2411.13159
Snapshot Compressive Imaging (SCI) offers a possibility for capturing information in high-speed dynamic scenes, requiring efficient reconstruction method to recover scene information. Despite promising results, current deep learning-based and NeRF-ba
Externí odkaz:
http://arxiv.org/abs/2411.12471
Autor:
Yao, Xing, Yu, Runxuan, Hu, Dewei, Yang, Hao, Lou, Ange, Wang, Jiacheng, Lu, Daiwei, Arenas, Gabriel, Oguz, Baris, Pouch, Alison, Schwartz, Nadav, Byram, Brett C, Oguz, Ipek
Ultrasound (US) image stitching can expand the field-of-view (FOV) by combining multiple US images from varied probe positions. However, registering US images with only partially overlapping anatomical contents is a challenging task. In this work, we
Externí odkaz:
http://arxiv.org/abs/2411.06750
Diffusion models have risen to prominence in time series forecasting, showcasing their robust capability to model complex data distributions. However, their effectiveness in deterministic predictions is often constrained by instability arising from t
Externí odkaz:
http://arxiv.org/abs/2411.04491