What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Artificial intelligence
Xiangyu Zhang mostly deals with Debugging, Theoretical computer science, Program slicing, Algorithm and Artificial neural network.
His Debugging study combines topics in areas such as Software, Real-time computing, State and Programmer.
His work carried out in the field of Theoretical computer science brings together such families of science as String metric, String, scanf format string and Data structure.
Xiangyu Zhang studied Program slicing and Parallel computing that intersect with Workflow, Causal graph, Cyber-attack and Distributed computing.
His studies in Algorithm integrate themes in fields like Static analysis, Graph, Software quality and Code.
As part of one scientific family, Xiangyu Zhang deals mainly with the area of Artificial neural network, narrowing it down to issues related to the Feature vector, and often Android.
His most cited work include:
- Trojaning Attack on Neural Networks (352 citations)
- Locating faults through automated predicate switching (233 citations)
- Precise dynamic slicing algorithms (183 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Debugging, Software, Theoretical computer science, Distributed computing and Artificial intelligence.
His Debugging study integrates concerns from other disciplines, such as Algorithm, Software quality and Tracing.
His Algorithm research incorporates elements of Code, Set and Slicing.
His Software research integrates issues from Software engineering and Source code.
His research in Theoretical computer science intersects with topics in Data structure and Malware.
In Artificial intelligence, Xiangyu Zhang works on issues like Pattern recognition, which are connected to False positive paradox.
He most often published in these fields:
- Debugging (23.19%)
- Software (15.94%)
- Theoretical computer science (14.01%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (11.59%)
- Pattern recognition (4.83%)
- Software engineering (6.76%)
In recent papers he was focusing on the following fields of study:
Xiangyu Zhang mainly investigates Artificial intelligence, Pattern recognition, Software engineering, Artificial neural network and Backdoor.
His research on Artificial intelligence often connects related topics like Machine learning.
His Software engineering research includes themes of Static analysis and Pruning.
His study looks at the relationship between Artificial neural network and fields such as Trojan, as well as how they intersect with chemical problems.
His Backdoor research is multidisciplinary, incorporating perspectives in Set and Deep neural networks.
Xiangyu Zhang combines subjects such as Contextual image classification and Algorithm with his study of Feature vector.
Between 2019 and 2021, his most popular works were:
- Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features (9 citations)
- CPC: automatically classifying and propagating natural language comments via program analysis (8 citations)
- UIScope: Accurate, Instrumentation-free, and Visible Attack Investigation for GUI Applications. (4 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Artificial intelligence
Adversarial system, Artificial intelligence, Artificial neural network, Embedded system and Software are his primary areas of study.
His research integrates issues of Contextual image classification, Software quality and Feature vector, Pattern recognition in his study of Adversarial system.
His work in the fields of Artificial intelligence, such as Gradient descent, intersects with other areas such as Retraining.
His research in Artificial neural network intersects with topics in Trojan, Applications of artificial intelligence, Backdoor and Computer engineering.
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