ISSTA 2020 (series) / Qingkai Shi
Registered user since Fri 4 May 2018
Name:Qingkai Shi
Country:China
Affiliation:The Hong Kong University of Science and Technology
Personal website: https://qingkaishi.github.io
Research interests:Programming Language and Security
Contributions
2020
ISSTA
- Fast Bit-Vector Satisfiability
- DeepGini: Prioritizing Massive Tests to Enhance the Robustness of Deep Neural Networks
- Test Recommendation System Based on Slicing Coverage Filtering
- Escaping Dependency Hell: Finding Build Dependency Errors with the Unified Dependency Graph
- Functional Code Clone Detection with Syntax and Semantics Fusion Learning
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