What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Central processing unit
His scientific interests lie mostly in Parallel computing, Pointer analysis, Cache coloring, Scalability and Algorithm.
In general Parallel computing, his work in Scratchpad memory is often linked to Reliability linking many areas of study.
His Pointer analysis research is multidisciplinary, relying on both Java and Real-time computing.
His biological study spans a wide range of topics, including Program analysis, Alias analysis, Reachability, Static single assignment form and Speedup.
His studies deal with areas such as Unimodular matrix, Graph and Compiler as well as Algorithm.
His Pointer research focuses on subjects like Call site, which are linked to Theoretical computer science.
His most cited work include:
- Loop tiling for parallelism (160 citations)
- A clinical study of 674 patients with oral lichen planus in China (159 citations)
- Data cache locking for higher program predictability (133 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Parallel computing, Compiler, Algorithm, Pointer analysis and Scalability.
His Parallel computing research includes themes of Scheduling, Graph and Loop tiling.
His research investigates the connection between Compiler and topics such as Embedded system that intersect with problems in Overhead.
His work in Algorithm addresses issues such as Nested loop join, which are connected to fields such as Unimodular matrix and Loop.
Java is closely connected to Reachability in his research, which is encompassed under the umbrella topic of Pointer analysis.
His work in Java tackles topics such as Theoretical computer science which are related to areas like Programming language.
He most often published in these fields:
- Parallel computing (44.28%)
- Compiler (19.19%)
- Algorithm (14.76%)
What were the highlights of his more recent work (between 2017-2021)?
- Parallel computing (44.28%)
- Android (4.06%)
- Static analysis (6.27%)
In recent papers he was focusing on the following fields of study:
Jingling Xue mostly deals with Parallel computing, Android, Static analysis, Pointer and Pointer analysis.
Jingling Xue interconnects Graph, Thread, Compiler and Graph in the investigation of issues within Parallel computing.
His work carried out in the field of Android brings together such families of science as Real-time computing, False positive paradox, Computer engineering and Malware.
Jingling Xue has researched Static analysis in several fields, including Software bug, Software, Java, Algorithm and Control flow.
His Pointer research is multidisciplinary, incorporating elements of Address space, Shadow and Short Code.
The Pointer analysis study combines topics in areas such as Heap, Ripple and Reachability.
Between 2017 and 2021, his most popular works were:
- Understanding and detecting evolution-induced compatibility issues in Android apps (26 citations)
- Spatio-temporal context reduction: a pointer-analysis-based static approach for detecting use-after-free vulnerabilities (22 citations)
- VFix: value-flow-guided precise program repair for null pointer dereferences (10 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Central processing unit
The scientist’s investigation covers issues in Android, Static analysis, Pointer analysis, False positive paradox and Parallel computing.
His Static analysis research integrates issues from Pointer, Software bug, Software, Set and Algorithm.
His research integrates issues of Probabilistic logic and Speedup in his study of Algorithm.
His Pointer analysis research incorporates elements of Ripple, Computer engineering and Human–computer interaction.
His study looks at the intersection of False positive paradox and topics like Operating system with Control flow.
He is studying Instruction set, which is a component of Parallel computing.
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