Junming Cao

Orcid: 0009-0007-4118-7376

According to our database1, Junming Cao authored at least 20 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis.
ACM Trans. Comput. Hum. Interact., February, 2024

A Flexible and Stretchable MXene/Waterborne Polyurethane Composite-Coated Fiber Strain Sensor for Wearable Motion and Healthcare Monitoring.
Sensors, 2024

Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Impact of Human-AI Interaction on User Trust and Reliance in AI-Assisted Qualitative Coding.
CoRR, 2023

Feasibility, Opportunities, and Challenges of Utilizing AI for Collaborative Qualitative Analysis.
CoRR, 2023

Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems.
CoRR, 2023

Demystifying Dependency Bugs in Deep Learning Stack.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

BugMiner: Automating Precise Bug Dataset Construction by Code Evolution History Mining.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

An Empirical Study on Fault Diagnosis in Robotic Systems.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Characterizing the Complexity and Its Impact on Testing in ML-Enabled Systems : A Case Sutdy on Rasa.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Rendering.
Proceedings of the IEEE International Conference on Computational Photography, 2023

2022
NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Implicit Representation.
CoRR, 2022

Understanding performance problems in deep learning systems.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Differences of Challenges of Working from Home (WFH) between Weibo and Twitter Users during COVID-19.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Characterizing Performance Bugs in Deep Learning Systems.
CoRR, 2021

Locating Faulty Methods with a Mixed RNN and Attention Model.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

2020
BugPecker: Locating Faulty Methods with Deep Learning on Revision Graphs.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

2019
CrowDevBot: A Task-Oriented Conversational Bot for Software Crowdsourcing Platform (S).
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Constructing a Knowledge Base of Coding Conventions from Online Resources.
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

CocoQa: Question Answering for Coding Conventions Over Knowledge Graphs.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019


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