Recognizing software bug-specific named entity in software bug repository. - Cheng Zhou; Bin Li 006; Xiaobing Sun 001; Hongjing Guo (ICPC, 2018)

MULAPI: Improving API method recommendation with API usage location. - Congying Xu; Xiaobing Sun 001; Bin Li 006; Xintong Lu; Hongjing Guo (J. Syst. Softw., 2018)

Metamorphic Testing for Plant Identification Mobile Applications Based on Test Contexts. - Hongjing Guo; Chuanqi Tao; Zhiqiu Huang (MobiCASE, 2020)

Identifying security issues for mobile applications based on user review summarization. - Chuanqi Tao; Hongjing Guo; Zhiqiu Huang (Inf. Softw. Technol., 2020)

Recovering Semantic Traceability between Requirements and Source Code Using Feature Representation Techniques. - Meng Zhang; Chuanqi Tao; Hongjing Guo; Zhiqiu Huang (QRS, 2021)

MT4ImgRec: A Metamorphic Testing Tool for Image Recognition Software. - Dongyu Cao; Hongjing Guo; Chuanqi Tao (SEKE, 2021)

A Case Study of Testing an Image Recognition Application (S). - Chuanqi Tao; Dongyu Cao; Hongjing Guo; Jerry Gao 002 (SEKE, 2021)

DeepBackground: Metamorphic testing for Deep-Learning-driven image recognition systems accompanied by Background-Relevance. - Zhiyi Zhang 004; Pu Wang; Hongjing Guo; Ziyuan Wang 001; Yuqian Zhou; Zhiqiu Huang (Inf. Softw. Technol., 2021)

A Case Study of Testing an Image Recognition. - Chuanqi Tao; Dongyu Cao; Hongjing Guo; Jerry Gao 002 (J. Vis. Lang. Comput., 2021)

TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization. - Yali Tao; Chuanqi Tao; Hongjing Guo; Bohan Li 001 (ADMA (1), 2022)

A Review of Quality Assurance Research of Dialogue Systems. - Xiaomin Li; Chuanqi Tao; Jerry Gao 002; Hongjing Guo (AITest, 2022)

A Deep Reinforcement Learning-Based Approach for Android GUI Testing. - Yuemeng Gao; Chuanqi Tao; Hongjing Guo; Jerry Gao 002 (APWeb/WAIM (3), 2022)

Understanding Security Issues based on App Comment Analysis. - Mengyao Chen; Chuanqi Tao; Hongjing Guo (DSA, 2022)

Software Defect Prediction via GCN based on Structural and Context Information. - Lijin Tang; Chuanqi Tao; Hongjing Guo; Jingxuan Zhang (DSA, 2022)

Semantic Feature Learning based on Double Sequences Structure for Software Defect Number Prediction. - Tao Wang; Chuanqi Tao; Hongjing Guo; Lijin Tang (QRS, 2022)

An Approach to Software Defect Prediction Combining Semantic Features and Code Changes. - Chuanqi Tao; Tao Wang 103; Hongjing Guo; Jingxuan Zhang (Int. J. Softw. Eng. Knowl. Eng., 2022)

Multi-Objective White-Box Test Input Selection for Deep Neural Network Model Enhancement. - Hongjing Guo; Chuanqi Tao; Zhiqiu Huang (ISSRE, 2023)

DeepTD: Diversity-Guided Deep Neural Network Test Generation. - Jin Zhu; Chuanqi Tao; Hongjing Guo; Yue Ju (SETTA, 2023)

Test Input Selection for Deep Neural Network Enhancement Based on Multiple-Objective Optimization. - Yao Hao; Zhiqiu Huang; Hongjing Guo; Guohua Shen (SANER, 2023)

DLRegion: Coverage-guided fuzz testing of deep neural networks with region-based neuron selection strategies. - Chuanqi Tao; Yali Tao; Hongjing Guo; Zhiqiu Huang; Xiaobing Sun 001 (Inf. Softw. Technol., 2023)

LCVD: Loop-oriented code vulnerability detection via graph neural network. - Mingke Wang; Chuanqi Tao; Hongjing Guo (J. Syst. Softw., 2023)

Supporting maintenance and testing for AI functions of mobile apps based on user reviews: An empirical study on plant identification apps. - Chuanqi Tao; Hongjing Guo; Jingxuan Zhang; Zhiqiu Huang (J. Softw. Evol. Process., 2023)

A reinforcement learning-based approach to testing GUI of moblie applications. - Chuanqi Tao; Fengyu Wang; Yuemeng Gao; Hongjing Guo; Jerry Gao 002 (World Wide Web (WWW), 2024)

FATS: Feature Distribution Analysis-Based Test Selection for Deep Learning Enhancement. - Li Li; Chuanqi Tao; Hongjing Guo; Jingxuan Zhang; Xiaobing Sun 001 (IEEE Trans. Big Data, 2024)

Neuron importance-aware coverage analysis for deep neural network testing. - Hongjing Guo; Chuanqi Tao; Zhiqiu Huang (Empir. Softw. Eng., 2024)

Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey. - Hongjing Guo; Chuanqi Tao; Zhiqiu Huang; Weiqin Zou (CoRR, 2025)