Zobrazeno 1 - 10
of 1 614
pro vyhledávání: '"WANG, Liangliang"'
Autor:
Arora, Samir, Wang, Liangliang
Full fine-tuning is a popular approach to adapt Transformer-based pre-trained large language models to a specific downstream task. However, the substantial requirements for computational power and storage have discouraged its widespread use. Moreover
Externí odkaz:
http://arxiv.org/abs/2405.00201
Autor:
Liu, Yi, Ai, Xiaocong, Xiao, Guangyan, Li, Yaxuan, Wu, Linghui, Wang, Liangliang, Dong, Jianing, Dong, Mingyi, Geng, Qinglin, Luo, Min, Niu, Yan, Wang, Anqing, Wang, Chenxu, Wang, Meng, Zhang, Lei, Zhang, Liang, Zhang, Ruikai, Zhang, Yao, Zhao, Minggang, Zhou, Yang
Reconstruction of tracks of charged particles with high precision is very crucial for HEP experiments to achieve their physics goals. As the tracking detector of BESIII experiment, the BESIII drift chamber has suffered from aging effects resulting in
Externí odkaz:
http://arxiv.org/abs/2309.02358
Autor:
Feng, Jingxue, Wang, Liangliang
The effective control of infectious diseases relies on accurate assessment of the impact of interventions, which is often hindered by the complex dynamics of the spread of disease. A Beta-Dirichlet switching state-space transmission model is proposed
Externí odkaz:
http://arxiv.org/abs/2307.16138
We develop a robust Bayesian functional principal component analysis (FPCA) by incorporating skew elliptical classes of distributions. The proposed method effectively captures the primary source of variation among curves, even when abnormal observati
Externí odkaz:
http://arxiv.org/abs/2307.09731
Autor:
Zhang, Jiarui, Wang, Liangliang
Multidimensional scaling is widely used to reconstruct a map with the points' coordinates in a low-dimensional space from the original high-dimensional space while preserving the pairwise distances. In a Bayesian framework, the current approach using
Externí odkaz:
http://arxiv.org/abs/2306.15908
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 9, Pp 330-333 (2024)
Objective With the rapid development of rail transit technology and intelligent improvement of urban public transportation, the digital and intelligent concept extends and spreads widely in urban rail transit system, gradually becoming the main goal
Externí odkaz:
https://doaj.org/article/bd45ccdefbcb4c15913cf9011646a869
Autor:
Shang, Jingjing1, Wang, Liangliang2, Gong, Jinhong1, Liu, Xinru1, Su, Dan1, Zhou, Xindie2 xindiezhou@163.com, Wang, Yuji2 xuntazcr@126.com
Publikováno v:
Journal of Orthopaedic Surgery & Research. 11/27/2024, Vol. 19, p1-11. 11p.
Autor:
Xie, Qian1 (AUTHOR) xieq59@mail.sysu.edu.cn, Wang, Liangliang2,3 (AUTHOR) wanglliang3@mail2.sysu.edu.cn, Liao, Xinzhong1 (AUTHOR) liaoxzh8@mail2.sysu.edu.cn, Huang, Bi1 (AUTHOR) huangb63@mail2.sysu.edu.cn, Luo, Chuming1 (AUTHOR) luochm7@mail.sysu.edu.cn, Liao, Guancheng1 (AUTHOR) liaogch5@mail2.sysu.edu.cn, Yuan, Lifang1 (AUTHOR) yuanlf6@mail2.sysu.edu.cn, Liu, Xuejie1 (AUTHOR) liuxj89@mail2.sysu.edu.cn, Luo, Huanle1,4 (AUTHOR) luohle@mail.sysu.edu.cn, Shu, Yuelong1,4,5 (AUTHOR) luohle@mail.sysu.edu.cn
Publikováno v:
Viruses (1999-4915). Oct2024, Vol. 16 Issue 10, p1543. 16p.
Autor:
Jia, Tingting, Wang, Fuxiang, Chen, Yihao, Liao, Guancheng, Xu, Qiuyi, Chen, Jiamin, Wu, Jiani, Li, Nina, Wang, Liangliang, Yuan, Lifang, Wang, Dongli, Xie, Qian, Luo, Chuming, Luo, Huanle, Wang, Yanqun, Chen, Yongkun, Shu, Yuelong
Publikováno v:
In Journal of Infection December 2024 89(6)
Autor:
Yang, Zhijiang, Xu, Youjun, Pan, Li, Huang, Tengxin, Wang, Yunfan, Ding, Junjie, Wang, Liangliang, Xiao, Junhua
Publikováno v:
In Artificial Intelligence Chemistry December 2024 2(2)