Zobrazeno 1 - 10
of 678
pro vyhledávání: '"CHENG Zhiyuan"'
Autor:
WANG Jingtao, SUN Ning, YU Lang, LI Xinghui, MA Fang, WANG Yonghong, CHENG Zhiyuan, GUO Fengjia
Publikováno v:
Journal of Aeronautical Materials, Vol 43, Iss 6, Pp 65-72 (2023)
The hot-rolled Al-Zn-Mg-Cu system aluminum alloy was treated with single-stage solution，low temperature-long term & high temperature-short term and low temperature-short term & high temperature-long term，double-stage solution quenching systems. T
Externí odkaz:
https://doaj.org/article/b57e8a9963604fdb9b9d08f90c0301a0
Publikováno v:
Journal of Aeronautical Materials, Vol 43, Iss 4, Pp 76-85 (2023)
The differences in the microstructure, grain orientation, texture type, aging nano precipitate phase distribution and mechanical properties of 160 mm 7050-T7651 aluminum alloy extra-thick plate at different thickness positions were studied by means o
Externí odkaz:
https://doaj.org/article/5014bae874064cc4841f4a2e6d46f780
Autor:
Cheng, Zhiyuan, Wang, Yaojia, Wu, Heng, Ali, Mazhar N., Chan, Julia Y., Bhattacharyya, Semonti
Kagome materials are known to be an ideal platform that hosts a plethora of interesting phases such as topological states, electronic correlation, and magnetism, owing to their unique band structure and geometry. We report magnetotransport measuremen
Externí odkaz:
http://arxiv.org/abs/2410.23872
Autor:
Zhang, Haichuan, Lin, Meiyu, Liu, Zhaoyi, Li, Renyuan, Cheng, Zhiyuan, Yang, Carl, Tang, Mingjie
As generative models achieve great success, tampering and modifying the sensitive image contents (i.e., human faces, artist signatures, commercial logos, etc.) have induced a significant threat with social impact. The backdoor attack is a method that
Externí odkaz:
http://arxiv.org/abs/2410.14966
Autor:
Feng, Shiwei, Chen, Xuan, Cheng, Zhiyuan, Xiong, Zikang, Gao, Yifei, Cheng, Siyuan, Kate, Sayali, Zhang, Xiangyu
Robot navigation is increasingly crucial across applications like delivery services and warehouse management. The integration of Reinforcement Learning (RL) with classical planning has given rise to meta-planners that combine the adaptability of RL w
Externí odkaz:
http://arxiv.org/abs/2409.10832
Autor:
Feng, Shiwei, Ye, Yapeng, Shi, Qingkai, Cheng, Zhiyuan, Xu, Xiangzhe, Cheng, Siyuan, Choi, Hongjun, Zhang, Xiangyu
As Autonomous driving systems (ADS) have transformed our daily life, safety of ADS is of growing significance. While various testing approaches have emerged to enhance the ADS reliability, a crucial gap remains in understanding the accidents causes.
Externí odkaz:
http://arxiv.org/abs/2409.07774
Autor:
Xingxing Feng, Suxin Yang, Yaohua Zhang, Cheng Zhiyuan, Kuanqiang Tang, Guang Li, Hui Yu, Jiantian Leng, Qingyu Wang
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Chloroplast biogenesis and development are highly complex processes requiring interactions between plastids and nuclear genomic products. Pentatricopeptide repeat (PPR) proteins play an essential role in the development of chloroplasts; however, it r
Externí odkaz:
https://doaj.org/article/c6f281db67324347ae5138dcf3662914
Publikováno v:
Science and Engineering of Composite Materials, Vol 26, Iss 1, Pp 215-220 (2019)
Externí odkaz:
https://doaj.org/article/dc3fa6ad293f4061b81feb4e295aa2c2
Monocular Depth Estimation (MDE) plays a vital role in applications such as autonomous driving. However, various attacks target MDE models, with physical attacks posing significant threats to system security. Traditional adversarial training methods,
Externí odkaz:
http://arxiv.org/abs/2406.05857
Autor:
Li, Dengchun, Ma, Yingzi, Wang, Naizheng, Ye, Zhengmao, Cheng, Zhiyuan, Tang, Yinghao, Zhang, Yan, Duan, Lei, Zuo, Jie, Yang, Cal, Tang, Mingjie
Fine-tuning Large Language Models (LLMs) is a common practice to adapt pre-trained models for specific applications. While methods like LoRA have effectively addressed GPU memory constraints during fine-tuning, their performance often falls short, es
Externí odkaz:
http://arxiv.org/abs/2404.15159