中国矿业大学主页平台系统 Xu Xingliang--Home-- 动压巷道围岩渗流场的空间分布特征

Professor

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

Date of Birth:1976-08-27

E-Mail:

School/Department:中国矿业大学煤炭精细勘探与智能开发全国重点实验室

Administrative Position:煤炭资源与安全开采国家重点实验室副主任

Business Address:中国矿业大学南湖校区煤炭资源与安全开采国家重点实验室B520-1

Gender:Male

Degree:Doctor

Academic Titles:煤炭资源与安全开采国家重点实验室副主任

Alma Mater:中国矿业大学

Current position: Home > Scientific Research > Paper Publications

An extensive study of the effects of different deep learning models on code vulnerability detection in Python code

Release time:2021-09-28 Hits:

Affiliation of Author(s):中国矿业大学煤炭精细勘探与智能开发全国重点实验室

First Author:Xu Xingliang

Indexed by:Journal paper

Document Code:paper_58588

Translation or Not:no

Date of Publication:2009-01-01