Hengyuan Liu

Orcid: 0000-0002-5884-2089

According to our database1, Hengyuan Liu authored at least 24 papers between 2018 and 2026.

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Bibliography

2026
A bi-directional flow weighted regression for interpreting social media sentiment identified by large language models.
Int. J. Geogr. Inf. Sci., April, 2026

An Environment Adaptation Agent of Reinforcement Learning in Continuous Integration Test Case Prioritization.
Int. J. Softw. Eng. Knowl. Eng., February, 2026

3D Multi-Object Tracking Driven by Multi-Level Association and Intelligent Filtering.
IEEE Trans. Intell. Transp. Syst., January, 2026

Exploring the potential and limitations of large language models for novice program fault localization.
J. Syst. Softw., 2026

A multi-dimensional test case evaluation framework based on clustering and differential testing.
J. Syst. Softw., 2026

2025
FLIMs: Fault Localization Interference Mutants, Definition, Recognition and Mitigation.
CoRR, November, 2025

MBFL-DKMR: Improving Mutation-based Fault Localization through Denoising-based Kill Matrix Refinement.
CoRR, November, 2025

MCCA-MOT: Multimodal Collaboration-Guided Cascade Association Network for 3D Multi-Object Tracking.
IEEE Trans. Intell. Transp. Syst., January, 2025

Integrating neural mutation into mutation-based fault localization: A hybrid approach.
J. Syst. Softw., 2025

SCOPE: Hybrid optimization strategy for higher-order mutation-based fault localization.
Inf. Softw. Technol., 2025

Improved Biome-BGC model for simulating spatiotemporal dynamics of gross primary productivity in evergreen broadleaf forests of the karst region.
Environ. Model. Softw., 2025

Empirical Evaluation of LLMs for Automated Program Fault Localisation.
Proceedings of the 25th International Conference on Software Quality, 2025

EMS-HFL: A Hybrid Based Fault Localization.
Proceedings of the Engineering of Complex Computer Systems - 29th International Conference, 2025

2024
Delta4Ms: Improving mutation-based fault localization by eliminating mutant bias.
Softw. Test. Verification Reliab., June, 2024

Empirical Evaluation of Large Language Models for Novice Program Fault Localization.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Using $\mu \text{Bert}$ to Improve Mutation-Based Fault Localization for Novice Programs.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

AnimateAnywhere: Context-Controllable Human Video Generation with ID-Consistent One-shot Learning.
Proceedings of the 5th International Workshop on Human-centric Multimedia Analysis, 2024

An Empirical Study of Fault Localization on Novice Programs.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Neural-MBFL: Improving Mutation-Based Fault Localization by Neural Mutation.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
CRMF: A fault localization approach based on class reduction and method call frequency.
Softw. Pract. Exp., April, 2023

A Token-based Compilation Error Categorization and Its Applications.
J. Softw. Evol. Process., February, 2023

SGS: Mutant Reduction for Higher-order Mutation-based Fault Localization.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2021
Data-driven based student programming competition award prediction via machine learning models.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

2018
A Research on User Experience of Older Social Software.
Proceedings of the HCI International 2018 - Posters' Extended Abstracts, 2018


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