Xiaoting Du

Orcid: 0000-0002-1609-0480

According to our database1, Xiaoting Du authored at least 19 papers between 2017 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
LLM-BRC: A large language model-based bug report classification framework.
Softw. Qual. J., September, 2024

Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks.
IEEE CAA J. Autom. Sinica, March, 2024

KnowBug: Enhancing Large language models with bug report knowledge for deep learning framework bug prediction.
Knowl. Based Syst., 2024

How Does Pre-trained Language Model Perform on Deep Learning Framework Bug Prediction?
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023
An Empirical Study of Fault Triggers in Deep Learning Frameworks.
IEEE Trans. Dependable Secur. Comput., 2023

2022
Event-Triggered Parity Space Approach to Fault Detection for Linear Discrete-Time Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022

DeepSIM: Deep Semantic Information-Based Automatic Mandelbug Classification.
IEEE Trans. Reliab., 2022

Cross-Scale Residual Network: A General Framework for Image Super-Resolution, Denoising, and Deblocking.
IEEE Trans. Cybern., 2022

Unknown-input-observer-based approach to dynamic event-triggered fault estimation for Markovian jump systems with time-varying delays.
Sci. China Inf. Sci., 2022

Taxonomy of Aging-related Bugs in Deep Learning Libraries.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

2021
An Empirical Study on Common Bugs in Deep Learning Compilers.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020
Cross-project bug type prediction based on transfer learning.
Softw. Qual. J., 2020

HINDBR: Heterogeneous Information Network Based Duplicate Bug Report Prediction.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Fault Triggers in the TensorFlow Framework: An Experience Report.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Optimal design of CCHP microgrid based on multi-objective genetic algorithm.
Proceedings of the 5th International Conference on Automation, 2020

2019
An Empirical Study of Fault Triggers in the Linux Operating System: An Evolutionary Perspective.
IEEE Trans. Reliab., 2019

Dense-Connected Residual Network for Video Super-Resolution.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2017
Experience Report: Fault Triggers in Linux Operating System: from Evolution Perspective.
Proceedings of the 28th IEEE International Symposium on Software Reliability Engineering, 2017

The Automatic Classification of Fault Trigger Based Bug Report.
Proceedings of the 2017 IEEE International Symposium on Software Reliability Engineering Workshops, 2017


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