Huaxiao Liu

Orcid: 0000-0002-8151-1413

According to our database1, Huaxiao Liu authored at least 35 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Enhancing accessibility of web-based SVG buttons: An optimization method and best practices.
Expert Syst. Appl., March, 2024

AccessFixer: Enhancing GUI Accessibility for Low Vision Users With R-GCN Model.
IEEE Trans. Software Eng., February, 2024

Automated Mapping of Adaptive App GUIs from Phones to TVs.
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

2023
CoAxNN: Optimizing on-device deep learning with conditional approximate neural networks.
J. Syst. Archit., October, 2023

Animation2API: API Recommendation for the Implementation of Android UI Animations.
IEEE Trans. Software Eng., September, 2023

Automating discussion structure re-organization for GitHub issues.
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

AGAA: An Android GUI Accessibility Adapter for Low Vision Users.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
A method to acquire cross-domain requirements based on Syntax Direct Technique.
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

FlexPDA: A Flexible Programming Framework for Deep Learning Accelerators.
J. Comput. Sci. Technol., 2022

Consistent or not? An investigation of using Pull Request Template in GitHub.
Inf. Softw. Technol., 2022

Find potential partners: A GitHub user recommendation method based on event data.
Inf. Softw. Technol., 2022

Accelerating deep neural network filter pruning with mask-aware convolutional computations on modern CPUs.
Neurocomputing, 2022

Mining detailed information from the description for App functions comparison.
IET Softw., 2022

UISMiner: Mining UI suggestions from user reviews.
Expert Syst. Appl., 2022

2021
Application programming interface recommendation according to the knowledge indexed by app feature mined from app stores.
J. Softw. Evol. Process., 2021

App recommendation based on both quality and security.
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

Supporting features updating of apps by analyzing similar products in App stores.
Inf. Sci., 2021

Understanding the Runtime Overheads of Deep Learning Inference on Edge Devices.
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
Updating the goal model with user reviews for the evolution of an app.
J. Softw. Evol. Process., 2020

Combining goal model with reviews for supporting the evolution of apps.
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
Mining domain knowledge from app descriptions.
J. Syst. Softw., 2017

The verification of program relationships in the context of software cybernetics.
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


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