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 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.
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.
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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Trojaning Attack on Neural Networks
Yingqi Liu;Shiqing Ma;Yousra Aafer;Wen-Chuan Lee.
network and distributed system security symposium (2018)
Automatic reverse engineering of data structures from binary execution
Zhiqiang Lin;Xiangyu Zhang;Dongyan Xu.
annual information security symposium (2010)
Locating faults through automated predicate switching
Xiangyu Zhang;Neelam Gupta;Rajiv Gupta.
international conference on software engineering (2006)
Automatic Protocol Format Reverse Engineering through Context-Aware Monitored Execution.
Zhiqiang Lin;Xuxian Jiang;Dongyan Xu;Xiangyu Zhang.
network and distributed system security symposium (2008)
Precise dynamic slicing algorithms
Xiangyu Zhang;Rajiv Gupta;Youtao Zhang.
international conference on software engineering (2003)
AsDroid: detecting stealthy behaviors in Android applications by user interface and program behavior contradiction
Jianjun Huang;Xiangyu Zhang;Lin Tan;Peng Wang.
international conference on software engineering (2014)
Locating faulty code using failure-inducing chops
Neelam Gupta;Haifeng He;Xiangyu Zhang;Rajiv Gupta.
automated software engineering (2005)
Z3-str: a z3-based string solver for web application analysis
Yunhui Zheng;Xiangyu Zhang;Vijay Ganesh.
foundations of software engineering (2013)
Pruning dynamic slices with confidence
Xiangyu Zhang;Neelam Gupta;Rajiv Gupta.
programming language design and implementation (2006)
Experimental evaluation of using dynamic slices for fault location
Xiangyu Zhang;Haifeng He;Neelam Gupta;Rajiv Gupta.
international symposium on open collaboration (2005)
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