| 2025 | DASFAA | FTDG: Fuzzing-Based Test Data Generation for Deep Neural Networks. | Ziqi Chen, Chuanqi Tao, Tianzi Zang, Hongjing Guo |
| 2023 | ISSRE | Multi-Objective White-Box Test Input Selection for Deep Neural Network Model Enhancement. | Hongjing Guo, Chuanqi Tao, Zhiqiu Huang |
| 2023 | SETTA | DeepTD: Diversity-Guided Deep Neural Network Test Generation. | Jin Zhu, Chuanqi Tao, Hongjing Guo, Yue Ju |
| 2022 | ADMA | TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization. | Yali Tao, Chuanqi Tao, Hongjing Guo, Bohan Li |
| 2022 | APWEB | A Deep Reinforcement Learning-Based Approach for Android GUI Testing. | Yuemeng Gao, Chuanqi Tao, Hongjing Guo, Jerry Gao |
| 2022 | QRS | Semantic Feature Learning based on Double Sequences Structure for Software Defect Number Prediction. | Tao Wang, Chuanqi Tao, Hongjing Guo, Lijin Tang |
| 2021 | QRS | Recovering Semantic Traceability between Requirements and Source Code Using Feature Representation Techniques. | Meng Zhang, Chuanqi Tao, Hongjing Guo, Zhiqiu Huang |
| 2021 | SEKE | MT4ImgRec: A Metamorphic Testing Tool for Image Recognition Software. | Dongyu Cao, Hongjing Guo, Chuanqi Tao |
| 2021 | SEKE | A Case Study of Testing an Image Recognition Application (S). | Chuanqi Tao, Dongyu Cao, Hongjing Guo, Jerry Gao |