Yonghao Wu - RankMe

33 papers A 1B 2C 2Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Model Selection-Based Test-time Data Augmentation Method. CNML Yonghao Wu, Wei Wang, Tiancai Zhu, Tongzhu Zhao, Yu Xiang
2026	J	`jnl`	Exploring the potential and limitations of large language models for novice program fault localization. J. Syst. Softw. Hexiang Xu, Hengyuan Liu, Yonghao Wu, Xiaolan Kang, Xiang Chen, Yong Liu
2026	J	`jnl`	MFHS: Mutual consistency learning-based foundation model integrates hypergraph for semi-supervised medical image segmentation. Pattern Recognit. Xuejun Liu, Zhaichao Tang, Yonghao Wu, Ruixiang Zhai, Xuanhe Dong, Zikang Du, Shujun Cao
2025	—	`conf`	Empirical Evaluation of LLMs for Automated Program Fault Localisation. QRS Companion Yong Liu, Xin Wang, Hengyuan Liu, Ruishi Huang, Yonghao Wu
2025	J	`jnl`	Exploring the Potential and Limitations of Large Language Models for Novice Program Fault Localization. CoRR Hexiang Xu, Hengyuan Liu, Yonghao Wu, Xiaolan Kang, Xiang Chen, Yong Liu
2025	C	`conf`	Leveraging Retrieval Augmented Generation to Enhance LLM-Based Fault Localization for Novice Programs. QRS Bin Du, Xiaolan Kang, Hexiang Xu, Yonghao Wu, Yong Liu
2024	—	`conf`	ConDefects: A Complementary Dataset to Address the Data Leakage Concern for LLM-Based Fault Localization and Program Repair. SIGSOFT FSE Companion Yonghao Wu, Zheng Li, Jie M. Zhang, Yong Liu
2024	J	`jnl`	Multi-objective optimization-based and fault localization-oriented test case generation for novice programs. J. Softw. Evol. Process. Yong Liu, Zezhong Yang, Luxi Fan, Yonghao Wu, Xiang Chen, Xiaotang Zhou
2023	J	`jnl`	A target behavior pattern mining and abnormal behavior monitoring based on multidimensional similarity metric. Wirel. Networks Chang Liu, Zhuo Chen, Yonghao Wu, Ruslan Antypenko
2023	J	`jnl`	Applying Coding Behavior Features to Student Plagiarism Detection on Programming Assignments. J. Circuits Syst. Comput. Zheng Li, Yuting Zhang, Yong Liu, Yonghao Wu, Shumei Wu
2023	J	`jnl`	ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair. CoRR Yonghao Wu, Zheng Li, Jie M. Zhang, Yong Liu
2023	A	`conf`	Extended Abstract of SeCNN: A semantic CNN parser for code comment generation. SANER Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, Deli Yu
2023	B	`conf`	Identifying Coincidental Correct Test Cases with Multiple Features Extraction for Fault Localization. COMPSAC Yonghao Wu, Shuaihua Tian, Zezhong Yang, Zheng Li, Yong Liu, Xiang Chen
2023	J	`jnl`	Large Language Models in Fault Localisation. CoRR Yonghao Wu, Zheng Li, Jie M. Zhang, Mike Papadakis, Mark Harman, Yong Liu
2023	J	`jnl`	Multiple Information Spatial-Temporal Attention based Graph Convolution Network for traffic prediction. Appl. Soft Comput. Shiming Tao, Huyin Zhang, Fei Yang, Yonghao Wu, Cong Li
2023	J	`jnl`	SeTransformer: A Transformer-Based Code Semantic Parser for Code Comment Generation. IEEE Trans. Reliab. Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, Paul Doyle
2023	J	`jnl`	Urban ride-hailing demand prediction with multi-view information fusion deep learning framework. Appl. Intell. Yonghao Wu, Huyin Zhang, Cong Li, Shiming Tao, Fei Yang
2023	J	`jnl`	VsusFL: Variable-suspiciousness-based Fault Localization for novice programs. J. Syst. Softw. Zheng Li, Shumei Wu, Yong Liu, Jitao Shen, Yonghao Wu, Zhanwen Zhang, Xiang Chen
2022	—	`conf`	Data Analysis of Online Judge System-Based Teaching Model. ICCSE (3) Yuting Zhang, Zheng Li, Bin Du, Yonghao Wu, Heng Jiang
2022	J	`jnl`	MVDLSTM: MultiView deep LSTM framework for online ride-hailing order prediction. J. Supercomput. Yonghao Wu, Huyin Zhang, Cong Li, Shiming Tao, Fei Yang
2022	J	`jnl`	Spatial-Temporal Attention Mechanism and Graph Convolutional Networks for Destination Prediction. Frontiers Neurorobotics Cong Li, Huyin Zhang, Zengkai Wang, Yonghao Wu, Fei Yang
2022	J	`jnl`	Theoretical Analysis and Empirical Study on the Impact of Coincidental Correct Test Cases in Multiple Fault Localization. IEEE Trans. Reliab. Yonghao Wu, Yong Liu, Weibo Wang, Zheng Li, Xiang Chen, Paul Doyle
2021	J	`jnl`	A Passed Test Case Cluster Method to Improve Fault Localization. J. Circuits Syst. Comput. Weibo Wang, Yonghao Wu, Yong Liu
2021	—	`conf`	Applying Faulty Statement Category Frequency to Localize Faults for Student Programs. ICCSE Zheng Li, Xiaotang Zhou, Yonghao Wu, Yong Liu, Xiang Chen
2021	—	`conf`	Automated Student Code Scoring by Analyzing Grammatical and Semantic Information of Code. ICCSE Zheng Li, Liping Li, Yonghao Wu, Yong Liu, Xiang Chen
2021	—	`conf`	Data-driven based student programming competition award prediction via machine learning models. ICCSE Yong Liu, Kai Tian, Haifeng Wang, Hengyuan Liu, Yonghao Wu, Xiang Chen
2021	—	`conf`	Fault Localization-Guided Test Data Generation Approach for Novice Programs. DSA Zheng Li, Xiaotang Zhou, Deli Yu, Yonghao Wu, Yong Liu, Xiang Chen
2021	J	`jnl`	SeCNN: A semantic CNN parser for code comment generation. J. Syst. Softw. Zheng Li, Yonghao Wu, Bin Peng, Xiang Chen, Zeyu Sun, Yong Liu, Deli Yu
2021	—	`conf`	VSBFL: Variable Value Sequence Based Fault Localization for Novice Programs. QRS Companion Zheng Li, Jitao Shen, Yonghao Wu, Yong Liu, Zeyu Sun
2020	J	`jnl`	FATOC: Bug Isolation Based Multi-Fault Localization by Using OPTICS Clustering. J. Comput. Sci. Technol. Yonghao Wu, Zheng Li, Yong Liu, Xiang Chen
2020	B	`conf`	Using Fine-Grained Test Cases for Improving Novice Program Fault Localization. COMPSAC Zheng Li, Deli Yu, Yonghao Wu, Yong Liu
2019	J	`jnl`	A weighted fuzzy classification approach to identify and manipulate coincidental correct test cases for fault localization. J. Syst. Softw. Yong Liu, Meiying Li, Yonghao Wu, Zheng Li
2019	C	`conf`	An Empirical Study of Bug Isolation on the Effectiveness of Multiple Fault Localization. QRS Zheng Li, Yonghao Wu, Yong Liu