Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Li Xijun"'
Publikováno v:
EPJ Web of Conferences, Vol 309, p 12003 (2024)
In this paper, we have presented a novel and compact bicolor Bessel beams (bi-BBs) generator based on a single-mode fiber integrated with an axicon-like microstructure (AM). The proposed design utilized two Bessel beams manifested as pump beam of cir
Externí odkaz:
https://doaj.org/article/99d2b62a532b4293bcc46cf10ef617c0
Autor:
Liu, Haoyang, Wang, Jie, Zhang, Wanbo, Geng, Zijie, Kuang, Yufei, Li, Xijun, Li, Bin, Zhang, Yongdong, Wu, Feng
Mixed-integer linear programming (MILP) is one of the most popular mathematical formulations with numerous applications. In practice, improving the performance of MILP solvers often requires a large amount of high-quality data, which can be challengi
Externí odkaz:
http://arxiv.org/abs/2410.22806
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 48, Iss 3, Pp 244-247 (2021)
Objective To investigate the effect of LncRNA WT1-AS on the invasion and migration of triple-negative breast cancer MDA-MB-231 cells. Methods qRT-PCR was used to detect the expression of WT1-AS and the efficiency of gene silencing in MDA-MB-231 cells
Externí odkaz:
https://doaj.org/article/f211627af2ea4df38ea2a1a2b7be9de7
Autor:
Wang, Jie, Wang, Zhihai, Li, Xijun, Kuang, Yufei, Shi, Zhihao, Zhu, Fangzhou, Yuan, Mingxuan, Zeng, Jia, Zhang, Yongdong, Wu, Feng
Cutting planes (cuts) play an important role in solving mixed-integer linear programs (MILPs), which formulate many important real-world applications. Cut selection heavily depends on (P1) which cuts to prefer and (P2) how many cuts to select. Althou
Externí odkaz:
http://arxiv.org/abs/2404.12638
Autor:
Li, Xijun, Zhu, Fangzhou, Zhen, Hui-Ling, Luo, Weilin, Lu, Meng, Huang, Yimin, Fan, Zhenan, Zhou, Zirui, Kuang, Yufei, Wang, Zhihai, Geng, Zijie, Li, Yang, Liu, Haoyang, An, Zhiwu, Yang, Muming, Li, Jianshu, Wang, Jie, Yan, Junchi, Sun, Defeng, Zhong, Tao, Zhang, Yong, Zeng, Jia, Yuan, Mingxuan, Hao, Jianye, Yao, Jun, Mao, Kun
In an era of digital ubiquity, efficient resource management and decision-making are paramount across numerous industries. To this end, we present a comprehensive study on the integration of machine learning (ML) techniques into Huawei Cloud's OptVer
Externí odkaz:
http://arxiv.org/abs/2401.05960
Machine learning has been successfully applied to improve the efficiency of Mixed-Integer Linear Programming (MILP) solvers. However, the learning-based solvers often suffer from severe performance degradation on unseen MILP instances -- especially o
Externí odkaz:
http://arxiv.org/abs/2310.14161
Autor:
Kuang, Yufei, Li, Xijun, Wang, Jie, Zhu, Fangzhou, Lu, Meng, Wang, Zhihai, Zeng, Jia, Li, Houqiang, Zhang, Yongdong, Wu, Feng
Large-scale LP problems from industry usually contain much redundancy that severely hurts the efficiency and reliability of solving LPs, making presolve (i.e., the problem simplification module) one of the most critical components in modern LP solver
Externí odkaz:
http://arxiv.org/abs/2310.11845
In the past few years, there has been an explosive surge in the use of machine learning (ML) techniques to address combinatorial optimization (CO) problems, especially mixed-integer linear programs (MILPs). Despite the achievements, the limited avail
Externí odkaz:
http://arxiv.org/abs/2310.02807
Autor:
Wang, Zhihai, Chen, Lei, Wang, Jie, Li, Xing, Bai, Yinqi, Li, Xijun, Yuan, Mingxuan, Hao, Jianye, Zhang, Yongdong, Wu, Feng
Logic Synthesis (LS) plays a vital role in chip design -- a cornerstone of the semiconductor industry. A key task in LS is to transform circuits -- modeled by directed acyclic graphs (DAGs) -- into simplified circuits with equivalent functionalities.
Externí odkaz:
http://arxiv.org/abs/2309.03208
Data prefetching is important for storage system optimization and access performance improvement. Traditional prefetchers work well for mining access patterns of sequential logical block address (LBA) but cannot handle complex non-sequential patterns
Externí odkaz:
http://arxiv.org/abs/2304.03864