Zobrazeno 1 - 10
of 5 048
pro vyhledávání: '"Peng, Xin."'
Autor:
Peng, Xin, Liu, Zhihao, Zhang, Shengnan, Zhou, Yi, Sun, Yuran, Su, Yahui, Wu, Chunxiang, Zhou, Tingyu, Liu, Le, Li, Yazhou, Wang, Hangdong, Yang, Jinhu, Chen, Bin, Li, Yuke, Xi, Chuanying, Du, Jianhua, Jiao, Zhiwei, Wu, Quansheng, Fang, Minghu
As a prototypical altermagnet, RuO$_{2}$ has been subject to many controversial reports regarding its magnetic ground state and the existence of crystal Hall effects. We obtained high-quality RuO$_{2}$ single crystal with a residual resistivity ratio
Externí odkaz:
http://arxiv.org/abs/2412.12258
Autor:
Peng, Xin, Wang, Yuzhi, Zhang, Shengnan, Zhou, Yi, Sun, Yuran, Su, Yahui, Wu, Chunxiang, Zhou, Tingyu, Liu, Le, Wang, Hangdong, Yang, Jinhu, Chen, Bin, Fang, Zhong, Du, Jianhua, Jiao, Zhiwei, Wu, Quansheng, Fang, Minghu
The discovery of altermagnet (AM) marks a significant advancement in magnetic materials, combining characteristics of both ferromagnetism and antiferromagnetism. In this Letter, we focus on CrSb, which has been verified to be an AM and to exhibit sub
Externí odkaz:
http://arxiv.org/abs/2412.12263
Software vulnerability detection is crucial for high-quality software development. Recently, some studies utilizing Graph Neural Networks (GNNs) to learn the graph representation of code in vulnerability detection tasks have achieved remarkable succe
Externí odkaz:
http://arxiv.org/abs/2412.10164
With the rapid development of autonomous vehicles, there is an increasing demand for scenario-based testing to simulate diverse driving scenarios. However, as the base of any driving scenarios, road scenarios (e.g., road topology and geometry) have r
Externí odkaz:
http://arxiv.org/abs/2411.19577
Recently, there has been a significant escalation in both academic and industrial commitment towards the development of autonomous driving systems (ADSs). A number of simulation testing approaches have been proposed to generate diverse driving scenar
Externí odkaz:
http://arxiv.org/abs/2411.19567
Autor:
Qin, Yihao, Wang, Shangwen, Lei, Yan, Zhang, Zhuo, Lin, Bo, Peng, Xin, Chen, Liqian, Mao, Xiaoguang
The software development process is characterized by an iterative cycle of continuous functionality implementation and debugging, essential for the enhancement of software quality and adaptability to changing requirements. This process incorporates t
Externí odkaz:
http://arxiv.org/abs/2411.17230
Recent advances in large language models (LLMs) have shown significant capabilities in code translation, often evaluated using benchmarks like CodeTransOcean. However, these evaluations typically focus on simple, function-level translations without c
Externí odkaz:
http://arxiv.org/abs/2411.13990
Autor:
Huang, Kaifeng, Chen, Bihuan, Lu, You, Wu, Susheng, Wang, Dingji, Huang, Yiheng, Jiang, Haowen, Zhou, Zhuotong, Cao, Junming, Peng, Xin
Large language models (LLM) have sparked significant impact with regard to both intelligence and productivity. In recent years, a great surge has been witnessed in the introduction of both commercial and open-source LLMs. Many businesses have adopted
Externí odkaz:
http://arxiv.org/abs/2410.21218
Autor:
Chen, Xiangping, Hu, Xing, Huang, Yuan, Jiang, He, Ji, Weixing, Jiang, Yanjie, Jiang, Yanyan, Liu, Bo, Liu, Hui, Li, Xiaochen, Lian, Xiaoli, Meng, Guozhu, Peng, Xin, Sun, Hailong, Shi, Lin, Wang, Bo, Wang, Chong, Wang, Jiayi, Wang, Tiantian, Xuan, Jifeng, Xia, Xin, Yang, Yibiao, Yang, Yixin, Zhang, Li, Zhou, Yuming, Zhang, Lu
Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech recognition, and software engineer
Externí odkaz:
http://arxiv.org/abs/2410.13110
Code translation converts code from one programming language to another while maintaining its original functionality, which is crucial for software migration, system refactoring, and cross-platform development. Traditional rule-based methods rely on
Externí odkaz:
http://arxiv.org/abs/2409.19894