Zobrazeno 1 - 10
of 884
pro vyhledávání: '"Chen, Yixuan"'
In this letter, we study the energy efficiency maximization problem for a fluid antenna system (FAS) in near field communications. Specifically, we consider a point-to-point near-field system where the base station (BS) transmitter has multiple fixed
Externí odkaz:
http://arxiv.org/abs/2407.05791
Repository-level code completion is challenging as it involves complicated contexts from multiple files in the repository. To date, researchers have proposed two technical categories to enhance LLM-based repository-level code completion, i.e., retrie
Externí odkaz:
http://arxiv.org/abs/2406.10018
Autor:
Shi, Yubin, Chen, Yixuan, Dong, Mingzhi, Yang, Xiaochen, Li, Dongsheng, Wang, Yujiang, Dick, Robert P., Lv, Qin, Zhao, Yingying, Yang, Fan, Lu, Tun, Gu, Ning, Shang, Li
Despite their prevalence in deep-learning communities, over-parameterized models convey high demands of computational costs for proper training. This work studies the fine-grained, modular-level learning dynamics of over-parameterized models to attai
Externí odkaz:
http://arxiv.org/abs/2405.07527
Autor:
Xu, Ruopeng, Chen, Yixuan, Kang, Jiawen, Xu, Minrui, Yang, Zhaohui, Huang, Chongwen, Niyato, Dusit
In this paper, we investigate the problem of resource allocation for fluid antenna relay (FAR) system with antenna location optimization. In the considered model, each user transmits information to a base station (BS) with help of FAR. The antenna lo
Externí odkaz:
http://arxiv.org/abs/2404.00628
When deploying fast charging stations (FCSs) to support long-distance trips of electric vehicles (EVs), there exist indirect network effects: while the gradual diffusion of EVs directly influences the timing and capacities of FCS allocation, the deci
Externí odkaz:
http://arxiv.org/abs/2310.07352
Autor:
Du, Xueying, Liu, Mingwei, Wang, Kaixin, Wang, Hanlin, Liu, Junwei, Chen, Yixuan, Feng, Jiayi, Sha, Chaofeng, Peng, Xin, Lou, Yiling
In this work, we make the first attempt to evaluate LLMs in a more challenging code generation scenario, i.e. class-level code generation. We first manually construct the first class-level code generation benchmark ClassEval of 100 class-level Python
Externí odkaz:
http://arxiv.org/abs/2308.01861
Autor:
Yuan, Zhiqiang, Lou, Yiling, Liu, Mingwei, Ding, Shiji, Wang, Kaixin, Chen, Yixuan, Peng, Xin
Unit testing is essential in detecting bugs in functionally-discrete program units. Manually writing high-quality unit tests is time-consuming and laborious. Although traditional techniques can generate tests with reasonable coverage, they exhibit lo
Externí odkaz:
http://arxiv.org/abs/2305.04207
Autor:
Chen, Yixuan
Singing Mandarin repertoires is an arduous and intimidating task for most non-nativesingers due to two main challenging aspects. Firstly, the Chinese language is difficult to readand pronounce because the Chinese language is comprised of characters o
Autor:
Guan, Guoye1 (AUTHOR) guanguoye@gmail.com, Chen, Yixuan2 (AUTHOR) yixuanchen@stu.pku.edu.cn, Wang, Hongli1,2 (AUTHOR) hlwang@pku.edu.cn, Ouyang, Qi1,2,3 (AUTHOR), Tang, Chao1,2,4 (AUTHOR) hlwang@pku.edu.cn
Publikováno v:
Membranes. Jun2024, Vol. 14 Issue 6, p137. 24p.
Autor:
Deng, Wei1 (AUTHOR), Chen, Yixuan1 (AUTHOR), Zhang, Jing1 (AUTHOR), Ling, Jitao2 (AUTHOR), Xu, Zhou3 (AUTHOR), Zhu, Zicheng1 (AUTHOR), Tang, Xiaoyi1 (AUTHOR), Liu, Xiao4 (AUTHOR), Zhang, Deju5 (AUTHOR), Zhu, Hong6,7 (AUTHOR), Lang, Haili1 (AUTHOR), Zhang, Lieliang1 (AUTHOR), Hua, Fuzhou1 (AUTHOR), Yu, Shuchun1 (AUTHOR) yscdoc@hotmail.com, Qian, Kejian8 (AUTHOR) ndyfyicu@email.ncu.edu.cn, Yu, Peng2 (AUTHOR) Yu8220182@163.com
Publikováno v:
Journal of Translational Medicine. 5/22/2024, Vol. 22 Issue 1, p1-19. 19p.