Zobrazeno 1 - 10
of 738
pro vyhledávání: '"ZHANG, Zizhen"'
Most of existing neural methods for multi-objective combinatorial optimization (MOCO) problems solely rely on decomposition, which often leads to repetitive solutions for the respective subproblems, thus a limited Pareto set. Beyond decomposition, we
Externí odkaz:
http://arxiv.org/abs/2310.15195
Recently, neural heuristics based on deep reinforcement learning have exhibited promise in solving multi-objective combinatorial optimization problems (MOCOPs). However, they are still struggling to achieve high learning efficiency and solution quali
Externí odkaz:
http://arxiv.org/abs/2310.15196
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 43, Iss 12, Pp 1554-1561 (2023)
Peritoneal metastasis is one of the important causes of death in patients with gastrointestinal cancer and is also a difficult point in clinical diagnosis and treatment. How to predict the occurrence of peritoneal metastasis in patients with high-ris
Externí odkaz:
https://doaj.org/article/4bd3ead31944439c84132e8f8e91f182
Autor:
Harding, Erika K., Zhang, Zizhen, Canet-Pons, Julia, Stokes-Heck, Sierra, Trang, Tuan, Zamponi, Gerald W.
Publikováno v:
In iScience 21 June 2024 27(6)
Autor:
Geng, Haigang, Huang, Chen, Xu, Lei, Zhou, Yangyang, Dong, Zhongyi, Zhong, Yiqing, Li, Qian, Yang, Chen, Huang, Shaozhuo, Liao, Weixin, Lin, Yuxuan, Liu, Zhicheng, Li, Qing, Zhang, Zizhen, Zhu, Chunchao
Publikováno v:
In Life Sciences 1 June 2024 346
Autor:
Zhang, Zizhen1 (AUTHOR) zizhenzhang@bjmu.edu.cn, Liu, Shengde1 (AUTHOR), Wang, Zhenghang1 (AUTHOR), Wang, Shuo2 (AUTHOR), Jiang, Lei1 (AUTHOR), Wang, Xicheng1 (AUTHOR), Li, Jian1 (AUTHOR) oncogene@163.com, Shen, Lin1 (AUTHOR) shenlin@bjmu.edu.cn
Publikováno v:
Cancer Cell International. 3/14/2024, Vol. 24 Issue 1, p1-18. 18p.
Autor:
Luo, Jun, Tang, Lina, Chen, Yijie, Yang, Lichun, Shen, Ruoxia, Cheng, Yan, Zhang, Zizhen, Lv, Zhihong, Yuan, Lijun, Yang, Yong, Cheng, Yinrong, Bai, Baoyan, Luo, Jing, Chen, Qin
Publikováno v:
In Ultrasound in Medicine & Biology August 2024 50(8):1224-1231
Learning-based heuristics for solving combinatorial optimization problems has recently attracted much academic attention. While most of the existing works only consider the single objective problem with simple constraints, many real-world problems ha
Externí odkaz:
http://arxiv.org/abs/2107.07961
Deep reinforcement learning (DRL) has recently shown its success in tackling complex combinatorial optimization problems. When these problems are extended to multiobjective ones, it becomes difficult for the existing DRL approaches to flexibly and ef
Externí odkaz:
http://arxiv.org/abs/2105.02741
Autor:
Zhang, Zizhen, Cao, Kai, Zhong, Yanlong, Yang, Jie, Chen, Shaofeng, Li, Guoan, Wang, Shaobai, Wan, Zongmiao
Publikováno v:
In World Neurosurgery April 2024 184:e203-e210