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Huangyi Ge
Researcher at Purdue University
Publications - 16
Citations - 183
Huangyi Ge is an academic researcher from Purdue University. The author has contributed to research in topics: Selection (genetic algorithm) & Software bug. The author has an hindex of 5, co-authored 16 publications receiving 137 citations. Previous affiliations of Huangyi Ge include Memorial Sloan Kettering Cancer Center.
Papers
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Journal ArticleDOI
P3DB 3.0: From plant phosphorylation sites to protein networks
Qiuming Yao,Huangyi Ge,Shangquan Wu,Ning Zhang,Wei Chen,Chunhui Xu,Jianjiong Gao,Jay J. Thelen,Dong Xu +8 more
TL;DR: The new P3DB reflects a community-based design through which users can share datasets and automate data depository processes for publication purposes, and incorporates multiple network viewers for the above features, such as PPI network, kinase-substrate network, phosphatase- substrate network and domain co-occurrence network to help study phosphorylation from a systems point of view.
Proceedings ArticleDOI
SymCerts: Practical Symbolic Execution for Exposing Noncompliance in X.509 Certificate Validation Implementations
Sze Yiu Chau,Omar Chowdhury,Endadul Hoque,Huangyi Ge,Aniket Kate,Cristina Nita-Rotaru,Ninghui Li +6 more
TL;DR: It is observed that symbolic execution, a technique proven to be effective in finding software implementation flaws, can also be leveraged to expose noncompliance in X.509 implementations.
Journal ArticleDOI
Influence of privacy priming and security framing on mobile app selection
TL;DR: It is shown that priming can be accomplished with a single item, which holds promise for real-world applications, and although the participants relied heavily on user ratings to guide their app selections, both the self-relevant and factual priming items induced the participants to take safety more into account.
Journal ArticleDOI
Cybersecurity for Android Applications: Permissions in Android 5 and 6
TL;DR: Although a pilot study showed that users favored the Android 6 permissions interface over Android 5’s, the present study found no clear evidence that it was more effective than Android 5.
Proceedings ArticleDOI
Koinonia: verifiable e-voting with long-term privacy
TL;DR: Koinonia is designed and implemented, a voting system that provides long-term privacy against powerful adversaries and enables anyone to verify that each ballot is well-formed and the tallying is done correctly and argues that secret-sharing based voting protocols offer a more natural and elegant privacy-preserving solution than their encryption-based counterparts.