In the subject of Machine learning, Zhenchang Xing integrates adjacent academic fields such as Interpretability and Convolutional neural network. His Interpretability study frequently links to adjacent areas such as Machine learning. Borrowing concepts from Artificial intelligence, Zhenchang Xing weaves in ideas under Convolutional neural network. His Artificial intelligence study frequently links to related topics such as Embedding. He incorporates Software and Code refactoring in his studies. He undertakes multidisciplinary investigations into Code refactoring and Software engineering in his work. He performs multidisciplinary studies into Software engineering and Component-based software engineering in his work. By researching both Programming language and Java, Zhenchang Xing produces research that crosses academic boundaries. In his work, he performs multidisciplinary research in Java and Application programming interface.
Zhenchang Xing merges Programming language with Application programming interface in his study. Zhenchang Xing undertakes multidisciplinary studies into Artificial intelligence and Human–computer interaction in his work. Zhenchang Xing combines Software and Software construction in his studies. He performs integrative study on Information retrieval and World Wide Web. By researching both World Wide Web and Information retrieval, Zhenchang Xing produces research that crosses academic boundaries. Software engineering and Programming language are two areas of study in which he engages in interdisciplinary research. His study brings together the fields of Code (set theory) and Set (abstract data type). Zhenchang Xing regularly ties together related areas like Set (abstract data type) in his Code (set theory) studies. Zhenchang Xing combines Machine learning and Artificial intelligence in his research.
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UMLDiff: an algorithm for object-oriented design differencing
Zhenchang Xing;Eleni Stroulia.
automated software engineering (2005)
Ensemble application of convolutional and recurrent neural networks for multi-label text categorization
Guibin Chen;Deheng Ye;Zhenchang Xing;Jieshan Chen.
international joint conference on neural network (2017)
API-Evolution Support with Diff-CatchUp
Zhenchang Xing;E. Stroulia.
IEEE Transactions on Software Engineering (2007)
What do developers search for on the web
Xin Xia;Xin Xia;Lingfeng Bao;David Lo;Pavneet Singh Kochhar.
Empirical Software Engineering (2017)
Refactoring Practice: How it is and How it Should be Supported - An Eclipse Case Study
Zhenchang Xing;Eleni Stroulia.
international conference on software maintenance (2006)
Predicting semantically linkable knowledge in developer online forums via convolutional neural network
Bowen Xu;Deheng Ye;Zhenchang Xing;Xin Xia.
automated software engineering (2016)
Measuring program comprehension: a large-scale field study with professionals
Xin Xia;Lingfeng Bao;David Lo;Zhenchang Xing.
international conference on software engineering (2018)
Refactoring Detection based on UMLDiff Change-Facts Queries
Zhenchang Xing;Eleni Stroulia.
working conference on reverse engineering (2006)
Neural-machine-translation-based commit message generation: how far are we?
Zhongxin Liu;Xin Xia;Ahmed E. Hassan;David Lo.
automated software engineering (2018)
From UI design image to GUI skeleton: a neural machine translator to bootstrap mobile GUI implementation
Chunyang Chen;Ting Su;Guozhu Meng;Zhenchang Xing.
international conference on software engineering (2018)
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