| Title | Compatibility Issues in Deep Learning Systems: Problems and Opportunities |
| Author | |
| Corresponding Author | Guanping Xiao |
| Publication Years | 2023-12
|
| Conference Name | The 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
|
| Source Title | |
| Conference Date | 2023-12
|
| Conference Place | San Francisco, CA, USA
|
| SUSTech Authorship | Others
|
| Language | English
|
| Data Source | 人工提交
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/564129 |
| Department | Southern University of Science and Technology 工学院_计算机科学与工程系 |
| Affiliation | 1.Nanjing University of Aeronautics and Astronautics 2.Southern University of Science and Technology 3.University of New South Wales |
| Recommended Citation GB/T 7714 |
Jun Wang,Guanping Xiao,Shuai Zhang,et al. Compatibility Issues in Deep Learning Systems: Problems and Opportunities[C],2023.
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| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| ESEC-FSE2023b.pdf（2148KB） | Restricted Access | -- | ||||
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