Zhijie Wang

Orcid: 0000-0003-4559-5426

Affiliations:
  • University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
  • Alberta Machine Intelligence Institute (AMII), Edmonton, AB, Canada


According to our database1, Zhijie Wang authored at least 31 papers between 2021 and 2025.

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

Timeline

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Bibliography

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

Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement.
IEEE Trans. Multim., 2025

CarveNet: Carving Point-Block for Complex 3D Shape Completion.
IEEE Trans. Multim., 2025

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

An empirical study of AI techniques in mobile applications.
J. Syst. Softw., 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

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

2024
Benchmarking Object Detection Robustness against Real-World Corruptions.
Int. J. Comput. Vis., October, 2024

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

Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?
Proc. ACM Softw. Eng., 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

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

MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 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
<i>ArchRepair</i>: Block-Level Architecture-Oriented Repairing for Deep Neural Networks.
ACM Trans. Softw. Eng. Methodol., September, 2023

Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities.
Dataset, August, 2023

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

Is Model Attention Aligned with Human Attention? An Empirical Study on Large Language Models for Code Generation.
CoRR, 2023

AutoRepair: Automated Repair for AI-Enabled Cyber-Physical Systems under Safety-Critical Conditions.
CoRR, 2023

Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

AI-driven Mobile Apps: an Explorative Study.
CoRR, 2022

Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement.
CoRR, 2022

When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

2021
ArchRepair: Block-Level Architecture-Oriented Repairing for Deep Neural Networks.
CoRR, 2021

CarveNet: Carving Point-Block for Complex 3D Shape Completion.
CoRR, 2021


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