Zhijie Wang
Orcid: 0000-0003-4559-5426Affiliations:
- 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:
Collaborative distances:
Timeline
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Online presence:
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on twitter.com
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on orcid.org
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on github.com
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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
IEEE Trans. Multim., 2025
IEEE Trans. Multim., 2025
VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation.
Proc. ACM Softw. Eng., 2025
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
Int. J. Comput. Vis., October, 2024
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
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
MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
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
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
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
CoRR, 2022
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022
2021
CoRR, 2021