Yonghao Wu

Orcid: 0000-0001-8788-108X

According to our database1, Yonghao Wu authored at least 25 papers between 2019 and 2023.

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

Timeline

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Bibliography

2023
VsusFL: Variable-suspiciousness-based Fault Localization for novice programs.
J. Syst. Softw., November, 2023

Applying Coding Behavior Features to Student Plagiarism Detection on Programming Assignments.
J. Circuits Syst. Comput., November, 2023

A target behavior pattern mining and abnormal behavior monitoring based on multidimensional similarity metric.
Wirel. Networks, October, 2023

Urban ride-hailing demand prediction with multi-view information fusion deep learning framework.
Appl. Intell., April, 2023

SeTransformer: A Transformer-Based Code Semantic Parser for Code Comment Generation.
IEEE Trans. Reliab., March, 2023

Multiple Information Spatial-Temporal Attention based Graph Convolution Network for traffic prediction.
Appl. Soft Comput., March, 2023

ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair.
CoRR, 2023

Large Language Models in Fault Localisation.
CoRR, 2023

Extended Abstract of SeCNN: A semantic CNN parser for code comment generation.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Identifying Coincidental Correct Test Cases with Multiple Features Extraction for Fault Localization.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Spatial-Temporal Attention Mechanism and Graph Convolutional Networks for Destination Prediction.
Frontiers Neurorobotics, September, 2022

Theoretical Analysis and Empirical Study on the Impact of Coincidental Correct Test Cases in Multiple Fault Localization.
IEEE Trans. Reliab., 2022

MVDLSTM: MultiView deep LSTM framework for online ride-hailing order prediction.
J. Supercomput., 2022

Data Analysis of Online Judge System-Based Teaching Model.
Proceedings of the Computer Science and Education - 17th International Conference, 2022

2021
SeCNN: A semantic CNN parser for code comment generation.
J. Syst. Softw., 2021

A Passed Test Case Cluster Method to Improve Fault Localization.
J. Circuits Syst. Comput., 2021

VSBFL: Variable Value Sequence Based Fault Localization for Novice Programs.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Data-driven based student programming competition award prediction via machine learning models.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Applying Faulty Statement Category Frequency to Localize Faults for Student Programs.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Automated Student Code Scoring by Analyzing Grammatical and Semantic Information of Code.
Proceedings of the 16th International Conference on Computer Science & Education, 2021

Fault Localization-Guided Test Data Generation Approach for Novice Programs.
Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

2020
FATOC: Bug Isolation Based Multi-Fault Localization by Using OPTICS Clustering.
J. Comput. Sci. Technol., 2020

Using Fine-Grained Test Cases for Improving Novice Program Fault Localization.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

2019
A weighted fuzzy classification approach to identify and manipulate coincidental correct test cases for fault localization.
J. Syst. Softw., 2019

An Empirical Study of Bug Isolation on the Effectiveness of Multiple Fault Localization.
Proceedings of the 19th IEEE International Conference on Software Quality, 2019


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