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Shaowei Cai(蔡少伟)
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本人对人工智能和算法设计有广泛的兴趣,尤其包括逻辑推理与搜索,组合优化,以及基于学习的自动算法设计。主要研究成果包括:提出格局检测策略,有效解决局部搜索的重要缺陷—循环现象,该策略被广泛用于NP难组合优化问题。对命题逻辑的可满足性判定(SAT)与最大可满足性问题(MaxSAT)设计了创新算法,在相关国际比赛中多次获得冠军。针对大规模组合优化问题,结合搜索与推理的方法设计了高效算法,在多个著名组合优化问题如最大团,图着色,顶点覆盖,集合覆盖等NP难优化问题保持着前沿水平。本人也致力于将算法研究应用于实际项目从而发挥其价值,研究成果被用于多个实际项目,包括美联邦通讯委员会的频谱分配,意大利银行系统优化,腾讯地图相关优化,微软云计算服务平台相关优化等。
Papers81 papers
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national conference on artificial intelligence, (2020)
Jiazhen Gu,Chuan Luo, Si Qin,Bo Qiao,Qingwei Lin,Hongyu Zhang,Ze Li,Yingnong Dang,Shaowei Cai,Wei Wu,Yangfan Zhou, Murali Chintalapati
ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundatio..., pp.292-303, (2020)
Artificial Intelligence, (2020): 103230
national conference on artificial intelligence, no. 02 (2020): 1569-1576
IJCAI, pp.1467-1473, (2020)
IJCAI, pp.1503-1510, (2020)
IJCAI, pp.1141-1147, (2020)
IJCAI, pp.1177-1183, (2020)
Information and Software Technology, (2020): 106288
Journal of Combinatorial Optimization, no. 4 (2020): 933-954
national conference on artificial intelligence, (2020)
parallel problem solving from nature, pp.373-389, (2020)
Information Sciences, (2019): 64-79
Comput. J., no. 9 (2019): 1321-1337
EIBibtex
J. Oper. Res. Soc., no. 9 (2019): 1498-1509
Cited by6EIBibtex
Artificial Intelligence, (2019): 105-129
ESEC/SIGSOFT FSE, pp.212-222, (2019)
IJCAI, pp.1297-1304, (2019)
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