Huaxiao Liu
Orcid: 0000-0002-8151-1413
According to our database1,
Huaxiao Liu
authored at least 39 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Inf. Fusion, 2025
2024
IEEE Trans. Software Eng., July, 2024
Enhancing accessibility of web-based SVG buttons: An optimization method and best practices.
Expert Syst. Appl., March, 2024
IEEE Trans. Software Eng., February, 2024
ACM Trans. Softw. Eng. Methodol., February, 2024
Which Animation API Should I Use Next? A Multimodal Real-Time Animation API Recommendation Model for Android Apps.
IEEE Trans. Software Eng., January, 2024
Inf. Softw. Technol., 2024
UiAnalyzer: Evaluating whether the UI of apps is at the risk of violating the design conventions in terms of function layout.
Expert Syst. Appl., 2024
2023
CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks.
J. Syst. Archit., October, 2023
IEEE Trans. Software Eng., September, 2023
Expert Syst. Appl., September, 2023
Describing the APIs comprehensively: Obtaining the holistic representations from multiple modalities data for different tasks.
Inf. Softw. Technol., June, 2023
A lightweight API recommendation method for App development based on multi-objective evolutionary algorithm.
Sci. Comput. Program., March, 2023
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023
2022
Softw. Pract. Exp., 2022
Missing standard features compared with similar apps? A feature recommendation method based on the knowledge from user interface.
J. Syst. Softw., 2022
J. Comput. Sci. Technol., 2022
Inf. Softw. Technol., 2022
Inf. Softw. Technol., 2022
Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs.
Neurocomputing, 2022
IET Softw., 2022
2021
Application programming interface recommendation according to the knowledge indexed by app feature mined from app stores.
J. Softw. Evol. Process., 2021
J. Softw. Evol. Process., 2021
API recommendation for the development of Android App features based on the knowledge mined from App stores.
Sci. Comput. Program., 2021
Inf. Sci., 2021
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021
Categorizing npm Packages by Analyzing the Text Information in Software Repositories.
Proceedings of the 28th Asia-Pacific Software Engineering Conference, 2021
2020
J. Softw. Evol. Process., 2020
IET Softw., 2020
Recommending Security Requirements for the Development of Android Applications Based on Sensitive APIs.
IEEE Access, 2020
2019
App store mining for iterative domain analysis: Combine app descriptions with user reviews.
Softw. Pract. Exp., 2019
Information Recommendation Based on Domain Knowledge in App Descriptions for Improving the Quality of Requirements.
IEEE Access, 2019
2018
Analyzing reviews guided by App descriptions for the software development and evolution.
J. Softw. Evol. Process., 2018
Verification of Program by Inspecting Internal Relations Relying on User Requirements.
IEEE Access, 2018
2017
J. Syst. Softw., 2017
An approach to modelling and analysing reliability of Breeze/ADL-based software architecture.
Int. J. Autom. Comput., 2017
2015
A Kind of Safety Requirements Description Method of the Embedded Software Based on Ontology.
Proceedings of the Requirements Engineering in the Big Data Era, 2015