Yuekai Huang

Orcid: 0000-0003-2762-9223

According to our database1, Yuekai Huang authored at least 23 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2025
Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in Large Language Models.
CoRR, August, 2025

Butterfly Effects in Toolchains: A Comprehensive Analysis of Failed Parameter Filling in LLM Tool-Agent Systems.
CoRR, July, 2025

Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems.
CoRR, June, 2025

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems.
CoRR, May, 2025

Deep API Sequence Generation via Golden Solution Samples and API Seeds.
ACM Trans. Softw. Eng. Methodol., February, 2025

From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect Context.
CoRR, 2024

From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection.
CoRR, 2024

Which API is Faster: Mining Fine-grained Performance Opinion from Online Discussions.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Demystifying and Detecting Misuses of Deep Learning APIs.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding.
IEEE Trans. Software Eng., 2023

Identifying Emergent Leadership in Open Source Software Projects Based on Communication Styles.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Identifying Emergent Leadership in OSS Projects Based on Communication Styles.
CoRR, 2022

A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning.
Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Characterizing and Predicting Good First Issues.
Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021

2020
Owl Eyes: Spotting UI Display Issues via Visual Understanding.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020


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