Yuheng Huang

Orcid: 0000-0003-3666-4020

Affiliations:
  • University of Alberta, Department of Electrical and Computer Engineering, Canada


According to our database1, Yuheng Huang authored at least 37 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Drivence: Realistic Driving Sequence Synthesis for Testing Multi-Sensor Fusion Perception Systems.
IEEE Trans. Software Eng., April, 2026

AcTracer: Active Testing of Large Language Model via Multi-Stage Sampling.
ACM Trans. Softw. Eng. Methodol., March, 2026

Online Safety Analysis for LLMs: A Benchmark, an Assessment, and a Path Forward.
IEEE Trans. Artif. Intell., March, 2026

CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems.
CoRR, February, 2026

Evaluating Implicit Regulatory Compliance in LLM Tool Invocation via Logic-Guided Synthesis.
CoRR, January, 2026

LeCov: Multi-level testing criteria for large language models.
J. Syst. Softw., 2026

2025
Evaluating LLMs on Sequential API Call Through Automated Test Generation.
CoRR, July, 2025

Foundation Models for Autonomous Driving System: An Initial Roadmap.
CoRR, April, 2025

Look Before You Leap: An Exploratory Study of Uncertainty Analysis for Large Language Models.
IEEE Trans. Software Eng., February, 2025

Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing.
CoRR, January, 2025

Evaluation and Improvement of Test Selection for Large Language Models.
J. Softw. Evol. Process., 2025

VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation.
Proc. ACM Softw. Eng., 2025

Risk Assessment Framework for Code LLMs via Leveraging Internal States.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

TESTEVAL: Benchmarking Large Language Models for Test Case Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Multilingual Blending: Large Language Model Safety Alignment Evaluation with Language Mixture.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

TrustVis: A Multi-Dimensional Trustworthiness Evaluation Framework for Large Language Models.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Are LLMs Correctly Integrated into Software Systems?
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
LUNA: A Model-Based Universal Analysis Framework for Large Language Models.
IEEE Trans. Software Eng., July, 2024

Generation-based Differential Fuzzing for Deep Learning Libraries.
ACM Trans. Softw. Eng. Methodol., February, 2024

Towards Understanding Retrieval Accuracy and Prompt Quality in RAG Systems.
CoRR, 2024

LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation.
CoRR, 2024

Towards Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation: An Empirical Study.
CoRR, 2024

LeCov: Multi-level Testing Criteria for Large Language Models.
CoRR, 2024

Active Testing of Large Language Model via Multi-Stage Sampling.
CoRR, 2024

Multilingual Blending: LLM Safety Alignment Evaluation with Language Mixture.
CoRR, 2024

Vortex under Ripplet: An Empirical Study of RAG-enabled Applications.
CoRR, 2024

Where Do Large Language Models Fail When Generating Code?
CoRR, 2024

Enhancing Fault Detection for Large Language Models via Mutation-Based Confidence Smoothing.
CoRR, 2024

GMP-TL: Gender-Augmented Multi-Scale Pseudo-Label Enhanced Transfer Learning For Speech Emotion Recognition.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024

PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing.
ACM Trans. Softw. Eng. Methodol., November, 2023

Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.
CoRR, 2023

When Simulator Meets Natural Deviation: A Study on Deviations in Simulation-based ADS Testing.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

DeepLens: Interactive Out-of-distribution Data Detection in NLP Models.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty.
CoRR, 2022


  Loading...