World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9098
World Ranking
5397
National Ranking
160

Overview

Zhenchang Xing is affiliated with the Australian National University in Australia and has contributed extensively to the field of computer science, particularly in software engineering and related subfields. Their research portfolio includes work published across numerous reputable venues and collaborations with several frequent coauthors.

The primary fields of study for Zhenchang Xing focus on computer science, with significant contributions spanning information systems, artificial intelligence, computer networks and communications, software, and signal processing. Within these areas, the scientist's work covers a range of specialized topics including software engineering research, topic modeling, advanced malware detection techniques, software system performance and reliability, natural language processing techniques, software testing and debugging techniques, and web application security vulnerabilities.

Some of their recent published papers illustrate the scope and diversity of their research interests:

  • Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity (2023, arXiv (Cornell University))
  • Wireframe-based UI Design Search through Image Autoencoder (2020, ACM Transactions on Software Engineering and Methodology)
  • Holistic Combination of Structural and Textual Code Information for Context Based API Recommendation (2021, IEEE Transactions on Software Engineering)
  • From Lost to Found (2020, Proceedings of the ACM on Human-Computer Interaction)
  • Chatbot4QR: Interactive Query Refinement for Technical Question Retrieval (2020, IEEE Transactions on Software Engineering)

Zhenchang Xing has engaged frequently with coauthors including Liming Zhu, Qinghua Lu, Xiwei Xu, Qing Huang, and Shidong Pan. The collaborative nature of this work is evident through numerous joint publications.

The scientist's work is often published in venues that are well-regarded in the fields of software engineering and computer science, such as:

  • arXiv (Cornell University)
  • ACM Transactions on Software Engineering and Methodology
  • IEEE Transactions on Software Engineering
  • AI and Ethics
  • Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Best Publications

  • UMLDiff: an algorithm for object-oriented design differencing

    Zhenchang Xing;Eleni Stroulia

  • Measuring program comprehension: a large-scale field study with professionals

    Xin Xia;Lingfeng Bao;David Lo;Zhenchang Xing

  • Ensemble application of convolutional and recurrent neural networks for multi-label text categorization

    Guibin Chen;Deheng Ye;Zhenchang Xing;Jieshan Chen

  • Neural-machine-translation-based commit message generation: how far are we?

    Zhongxin Liu;Xin Xia;Ahmed E. Hassan;David Lo

  • What do developers search for on the web

    Xin Xia;Xin Xia;Lingfeng Bao;David Lo;Pavneet Singh Kochhar

  • From UI design image to GUI skeleton: a neural machine translator to bootstrap mobile GUI implementation

    Chunyang Chen;Ting Su;Guozhu Meng;Zhenchang Xing

  • API-Evolution Support with Diff-CatchUp

    Zhenchang Xing;E. Stroulia

  • Learning to Predict Severity of Software Vulnerability Using Only Vulnerability Description

    Zhuobing Han;Xiaohong Li;Zhenchang Xing;Hongtao Liu

  • API method recommendation without worrying about the task-API knowledge gap

    Qiao Huang;Xin Xia;Zhenchang Xing;David Lo

  • Predicting semantically linkable knowledge in developer online forums via convolutional neural network

    Bowen Xu;Deheng Ye;Zhenchang Xing;Xin Xia

  • Refactoring Practice: How it is and How it Should be Supported - An Eclipse Case Study

    Zhenchang Xing;Eleni Stroulia

  • Refactoring Detection based on UMLDiff Change-Facts Queries

    Zhenchang Xing;Eleni Stroulia

  • Object detection for graphical user interface: old fashioned or deep learning or a combination?

    Jieshan Chen;Mulong Xie;Zhenchang Xing;Chunyang Chen

  • AnswerBot: automated generation of answer summary to developersź technical questions

    Bowen Xu;Zhenchang Xing;Xin Xia;David Lo

  • Neural Network-based Detection of Self-Admitted Technical Debt: From Performance to Explainability

    Xiaoxue Ren;Zhenchang Xing;Xin Xia;David Lo

  • Unblind your apps: predicting natural-language labels for mobile GUI components by deep learning

    Jieshan Chen;Chunyang Chen;Zhenchang Xing;Xiwei Xu

  • Feature Location in a Collection of Product Variants

    Yinxing Xue;Zhenchang Xing;Stan Jarzabek

  • Analyzing the evolutionary history of the logical design of object-oriented software

    Z. Xing;E. Stroulia

  • Software-Specific Named Entity Recognition in Software Engineering Social Content

    Deheng Ye;Zhenchang Xing;Chee Yong Foo;Zi Qun Ang

  • What help do developers seek, when and how?

    Hongwei Li;Zhenchang Xing;Xin Peng;Wenyun Zhao

  • Concern Localization using Information Retrieval: An Empirical Study on Linux Kernel

    Shaowei Wang;David Lo;Zhenchang Xing;Lingxiao Jiang

Frequent Co-Authors

Xin Xia
Xin Xia Huawei Technologies (China)
David Lo
David Lo Singapore Management University
Eleni Stroulia
Eleni Stroulia University of Alberta
Jun Sun
Jun Sun Singapore Management University
Xiwei Xu
Xiwei Xu Commonwealth Scientific and Industrial Research Organisation
Liming Zhu
Liming Zhu Commonwealth Scientific and Industrial Research Organisation
Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Aixin Sun
Aixin Sun Nanyang Technological University
Chunyan Miao
Chunyan Miao Nanyang Technological University
Gang Zhang
Gang Zhang Agency for Science, Technology and Research

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