An Empirical Study of Bug Isolation on the Effectiveness of Multiple Fault Localization. - Zheng Li 002; Yonghao Wu; Yong Liu 030 (QRS, 2019)

A weighted fuzzy classification approach to identify and manipulate coincidental correct test cases for fault localization. - Yong Liu 030; Meiying Li; Yonghao Wu; Zheng Li 002 (J. Syst. Softw., 2019)

Using Fine-Grained Test Cases for Improving Novice Program Fault Localization. - Zheng Li 002; Deli Yu; Yonghao Wu; Yong Liu 030 (COMPSAC, 2020)

FATOC: Bug Isolation Based Multi-Fault Localization by Using OPTICS Clustering. - Yonghao Wu; Zheng Li 002; Yong Liu 030; Xiang Chen 005 (J. Comput. Sci. Technol., 2020)

Fault Localization-Guided Test Data Generation Approach for Novice Programs. - Zheng Li 002; Xiaotang Zhou; Deli Yu; Yonghao Wu; Yong Liu 030; Xiang Chen 005 (DSA, 2021)

Automated Student Code Scoring by Analyzing Grammatical and Semantic Information of Code. - Zheng Li 002; Liping Li; Yonghao Wu; Yong Liu 030; Xiang Chen 005 (ICCSE, 2021)

Applying Faulty Statement Category Frequency to Localize Faults for Student Programs. - Zheng Li 002; Xiaotang Zhou; Yonghao Wu; Yong Liu 030; Xiang Chen 005 (ICCSE, 2021)

Data-driven based student programming competition award prediction via machine learning models. - Yong Liu 030; Kai Tian; Haifeng Wang; Hengyuan Liu; Yonghao Wu; Xiang Chen 005 (ICCSE, 2021)

VSBFL: Variable Value Sequence Based Fault Localization for Novice Programs. - Zheng Li 002; Jitao Shen; Yonghao Wu; Yong Liu 030; Zeyu Sun 004 (QRS Companion, 2021)

A Passed Test Case Cluster Method to Improve Fault Localization. - Weibo Wang 007; Yonghao Wu; Yong Liu 030 (J. Circuits Syst. Comput., 2021)

SeCNN: A semantic CNN parser for code comment generation. - Zheng Li 002; Yonghao Wu; Bin Peng; Xiang Chen 005; Zeyu Sun 004; Yong Liu 030; Deli Yu (J. Syst. Softw., 2021)

Data Analysis of Online Judge System-Based Teaching Model. - Yuting Zhang; Zheng Li; Bin Du; Yonghao Wu; Heng Jiang (ICCSE (3), 2022)

MVDLSTM: MultiView deep LSTM framework for online ride-hailing order prediction. - Yonghao Wu; Huyin Zhang; Cong Li; Shiming Tao; Fei Yang (J. Supercomput., 2022)

Theoretical Analysis and Empirical Study on the Impact of Coincidental Correct Test Cases in Multiple Fault Localization. - Yonghao Wu; Yong Liu 030; Weibo Wang 007; Zheng Li 002; Xiang Chen 005; Paul Doyle (IEEE Trans. Reliab., 2022)

Spatial-Temporal Attention Mechanism and Graph Convolutional Networks for Destination Prediction. - Cong Li; Huyin Zhang; Zengkai Wang; Yonghao Wu; Fei Yang (Frontiers Neurorobotics, 2022)

Identifying Coincidental Correct Test Cases with Multiple Features Extraction for Fault Localization. - Yonghao Wu; Shuaihua Tian; Zezhong Yang; Zheng Li 002; Yong Liu 030; Xiang Chen 005 (COMPSAC, 2023)

Extended Abstract of SeCNN: A semantic CNN parser for code comment generation. - Zheng Li 002; Yonghao Wu; Bin Peng; Xiang Chen 005; Zeyu Sun 004; Yong Liu 030; Deli Yu (SANER, 2023)

Large Language Models in Fault Localisation. - Yonghao Wu; Zheng Li 002; Jie M. Zhang; Mike Papadakis; Mark Harman; Yong Liu 030 (CoRR, 2023)

ConDefects: A New Dataset to Address the Data Leakage Concern for LLM-based Fault Localization and Program Repair. - Yonghao Wu; Zheng Li 002; Jie M. Zhang; Yong Liu 030 (CoRR, 2023)

Multiple Information Spatial-Temporal Attention based Graph Convolution Network for traffic prediction. - Shiming Tao; Huyin Zhang; Fei Yang; Yonghao Wu; Cong Li (Appl. Soft Comput., 2023)

SeTransformer: A Transformer-Based Code Semantic Parser for Code Comment Generation. - Zheng Li 002; Yonghao Wu; Bin Peng; Xiang Chen 005; Zeyu Sun 004; Yong Liu 030; Paul Doyle (IEEE Trans. Reliab., 2023)

Urban ride-hailing demand prediction with multi-view information fusion deep learning framework. - Yonghao Wu; Huyin Zhang; Cong Li; Shiming Tao; Fei Yang (Appl. Intell., 2023)

A target behavior pattern mining and abnormal behavior monitoring based on multidimensional similarity metric. - Chang Liu 057; Zhuo Chen; Yonghao Wu; Ruslan Antypenko (Wirel. Networks, 2023)

Applying Coding Behavior Features to Student Plagiarism Detection on Programming Assignments. - Zheng Li 002; Yuting Zhang; Yong Liu 030; Yonghao Wu; ShuMei Wu (J. Circuits Syst. Comput., 2023)

VsusFL: Variable-suspiciousness-based Fault Localization for novice programs. - Zheng Li 002; Shumei Wu; Yong Liu 030; Jitao Shen; Yonghao Wu; Zhanwen Zhang; Xiang Chen 005 (J. Syst. Softw., 2023)

ConDefects: A Complementary Dataset to Address the Data Leakage Concern for LLM-Based Fault Localization and Program Repair. - Yonghao Wu; Zheng Li 002; Jie M. Zhang; Yong Liu 030 (SIGSOFT FSE Companion, 2024)

Multi-objective optimization-based and fault localization-oriented test case generation for novice programs. - Yong Liu 030; Zezhong Yang; Luxi Fan; Yonghao Wu; Xiang Chen 005; Xiaotang Zhou (J. Softw. Evol. Process., 2024)