Zobrazeno 1 - 10
of 5 224
pro vyhledávání: '"Shengzhi An"'
Autor:
Ruijia Zhu, Shengzhi An, Jingyan Fu, Sha Liu, Yu Fu, Ying Zhang, Rui Wang, Yun Zhao, Maolin Wang
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Background The transposons of the hAT superfamily are the most widespread transposons ever known. SLEEPER genes encode domesticated transposases from the hAT superfamily, which may have lost their transposable functions during long-term evol
Externí odkaz:
https://doaj.org/article/23fb99d5107548a5a13774e0ff8cf9d7
Large language models (LLMs) have shown remarkable performance across various tasks, yet their ability to handle long-context reading remains challenging. This study explores the effectiveness of leveraging high-quality academic peer review data for
Externí odkaz:
http://arxiv.org/abs/2411.05232
Autor:
Lee, Sangyun, Zhang, Shengzhi, Thomas, S. M., Pressley, L., Bridges, C. A., Choi, Eun Sang, Zapf, Vivien S., Winter, Stephen M., Lee, Minseong
BaCo$_2$(AsO$_4$)$_2$ (BCAO), a honeycomb cobaltate, is considered a promising candidate for materials displaying the Kitaev quantum spin liquid state. This assumption is based on the distinctive characteristics of Co$^{2+}$ ions (3$d^7$) within an o
Externí odkaz:
http://arxiv.org/abs/2408.00622
Aiming at the current mainstream 3D scene engine learning and building cost is too high, this thesis proposes a digital twin platform design program based on Unreal Engine 5 (UE5). It aims to provide a universal platform construction design process t
Externí odkaz:
http://arxiv.org/abs/2407.03107
Autor:
Wu, Kai, Jiang, Boyuan, Jiang, Zhengkai, He, Qingdong, Luo, Donghao, Wang, Shengzhi, Liu, Qingwen, Wang, Chengjie
Multimodal large language models (MLLMs) contribute a powerful mechanism to understanding visual information building on large language models. However, MLLMs are notorious for suffering from hallucinations, especially when generating lengthy, detail
Externí odkaz:
http://arxiv.org/abs/2405.20081
Autor:
Zhang, Shengzhi, Lee, Sangyun, Brosha, Eric, Huang, Qing, Zhou, Haidong, Zapf, Vivien S., Lee, Minseong
We have investigated the magnetic properties and mapped out the phase diagram of the honeycomb magnet Na2Co2TeO6 with Co 3d7 in out-of-plane magnetic fields. This material has previously been proposed to show nearest-neighbor Kitaev interactions betw
Externí odkaz:
http://arxiv.org/abs/2405.13935
Publikováno v:
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 14188-14200, 2024
Multi-modal large language models (MLLMs) are expected to support multi-turn queries of interchanging image and text modalities in production. However, the current MLLMs trained with visual-question-answering (VQA) datasets could suffer from degradat
Externí odkaz:
http://arxiv.org/abs/2402.10884
Autor:
Lee, Sangyun, Woods, Andrew J., Lee, Minseong, Zhang, Shengzhi, Choi, Eun Sang, Scheie, A. O., Tennant, D. A., Xing, J., Sefat, A. S., Movshovich, R.
A quantum spin liquid (QSL) is a state of matter characterized by fractionalized quasiparticle excitations, quantum entanglement, and a lack of long-range magnetic order. However, QSLs have evaded definitive experimental observation. Several Yb$^{3+}
Externí odkaz:
http://arxiv.org/abs/2402.06788
Autor:
Lv, Peizhuo, Ma, Hualong, Chen, Kai, Zhou, Jiachen, Zhang, Shengzhi, Liang, Ruigang, Zhu, Shenchen, Li, Pan, Zhang, Yingjun
Recently, numerous highly-valuable Deep Neural Networks (DNNs) have been trained using deep learning algorithms. To protect the Intellectual Property (IP) of the original owners over such DNN models, backdoor-based watermarks have been extensively st
Externí odkaz:
http://arxiv.org/abs/2401.15239
Autor:
Chu+, Xiangyu, Wang+, Shengzhi, Feng, Minjian, Zheng, Jiaxi, Zhao, Yuxuan, Huang, Jing, Au, K. W. Samuel
Publikováno v:
2023 IEEE International Conference on Automation Science and Engineering (CASE)
Cloth manipulation is common in domestic and service tasks, and most studies use fixed-base manipulators to manipulate objects whose sizes are relatively small with respect to the manipulators' workspace, such as towels, shirts, and rags. In contrast
Externí odkaz:
http://arxiv.org/abs/2308.10401