Zobrazeno 1 - 10
of 879
pro vyhledávání: '"Chen Yihong"'
Autor:
Zhang, Jinzhong, Cai, Xinhang, Huang, Qingming, Chen, Yihong, Yang, Zhangqiang, Sun, Zhiyuan, Yang, Ye
Pairing states are essential for understanding the underlying mechanisms of high-temperature superconductivity. Here the non-superconducting state in an optimally doped YBa2Cu3O7-{\delta} film was driven out of equilibrium by an optical pump with low
Externí odkaz:
http://arxiv.org/abs/2412.06569
We present a novel approach to reconstruction of 3D cardiac motion from sparse intraoperative data. While existing methods can accurately reconstruct 3D organ geometries from full 3D volumetric imaging, they cannot be used during surgical interventio
Externí odkaz:
http://arxiv.org/abs/2412.02589
This paper introduces the discrete-velocity-direction model (DVDM) in conjunction with the hyperbolic quadrature method of moments (HyQMOM) to develop a multidimensional spatial-temporal approximation of the BGK equation, termed DVD-HyQMOM. Serving a
Externí odkaz:
http://arxiv.org/abs/2411.12654
Autor:
Wang, Jiayi, Lu, Yao, Weber, Maurice, Ryabinin, Max, Chen, Yihong, Tang, Raphael, Stenetorp, Pontus
English, as a very high-resource language, enables the pretraining of high-quality large language models (LLMs). The same cannot be said for most other languages, as leading LLMs still underperform for non-English languages, likely due to a gap in th
Externí odkaz:
http://arxiv.org/abs/2410.23956
We introduce a framework for expanding residual computational graphs using jets, operators that generalize truncated Taylor series. Our method provides a systematic approach to disentangle contributions of different computational paths to model predi
Externí odkaz:
http://arxiv.org/abs/2410.06024
Epitope identification is vital for antibody design yet challenging due to the inherent variability in antibodies. While many deep learning methods have been developed for general protein binding site prediction tasks, whether they work for epitope p
Externí odkaz:
http://arxiv.org/abs/2407.18184
Autor:
Qiu, Xinchi, Shen, William F., Chen, Yihong, Cancedda, Nicola, Stenetorp, Pontus, Lane, Nicholas D.
Recently, machine unlearning, which seeks to erase specific data stored in the pre-trained or fine-tuned models, has emerged as a crucial protective measure for LLMs. However, unlearning approaches for LLMs that have been considered thus far have foc
Externí odkaz:
http://arxiv.org/abs/2406.16810
This paper presents a dissipativeness analysis of a quadrature method of moments (called HyQMOM) for the one-dimensional BGK equation. The method has exhibited its good performance in numerous applications. However, its mathematical foundation has no
Externí odkaz:
http://arxiv.org/abs/2406.13931
Autor:
Chen, Yihong, Fan, Zhen, Dong, Shuai, Chen, Zhiwei, Li, Wenjie, Qin, Minghui, Zeng, Min, Lu, Xubing, Zhou, Guofu, Gao, Xingsen, Liu, Jun-Ming
Stereo image super-resolution (SR) refers to the reconstruction of a high-resolution (HR) image from a pair of low-resolution (LR) images as typically captured by a dual-camera device. To enhance the quality of SR images, most previous studies focuse
Externí odkaz:
http://arxiv.org/abs/2405.08423
Autor:
Kong, Yilun, Ruan, Jingqing, Chen, Yihong, Zhang, Bin, Bao, Tianpeng, Shi, Shiwei, Du, Guoqing, Hu, Xiaoru, Mao, Hangyu, Li, Ziyue, Zeng, Xingyu, Zhao, Rui
Large Language Models (LLMs) have demonstrated proficiency in addressing tasks that necessitate a combination of task planning and the usage of external tools that require a blend of task planning and the utilization of external tools, such as APIs.
Externí odkaz:
http://arxiv.org/abs/2311.11315