| 2024 | SEKE | WCL-CRC: A Weakly-Supervised Contrastive Learning Framework for Few-Shot Code Readability Classification. | Qing Mi, Yueyue Xi, Junyang Li, Yuanjun Zhao, Shijia Tang |
| 2024 | SEKE | WCL-CRC: A Weakly-Supervised Contrastive Learning Framework for Few-Shot Code Readability Classification. | Qing Mi, Yueyue Xi, Junyang Li, Yuanjun Zhao, Shijia Tang |
| 2024 | SEKE | Towards Understanding the Distribution and Evolution of Code Smells: An Empirical Study on Java and Python Projects (S). | Qing Mi, Tengyuan Zhang, Keru Cai, Yuhe Wang |
| 2023 | SEKE | An Empirical Study of Coding Style Compliance on Stack Overflow. | Qing Mi, Haotian Bai, Xiaozhou Wang, Wenrui Liu, Xingyue Song |
| 2022 | IROS | ReINView: Re-interpreting Views for Multi-view 3D Object Recognition. | Ruchang Xu, Wei Ma, Qing Mi, Hongbin Zha |
| 2022 | SEKE | An Enhanced Data Augmentation Approach to Support Multi-Class Code Readability Classification. | Qing Mi, Yiqun Hao, Maran Wu, Liwei Ou |
| 2018 | EASE | An Inception Architecture-Based Model for Improving Code Readability Classification. | Qing Mi, Jacky Keung, Yan Xiao, Solomon Mensah, Xiupei Mei |
| 2018 | EASE | Bug Localization with Semantic and Structural Features using Convolutional Neural Network and Cascade Forest. | Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin |
| 2017 | APSEC | Identifying Textual Features of High-Quality Questions: An Empirical Study on Stack Overflow. | Qing Mi, Yujin Gao, Jacky Keung, Yan Xiao, Solomon Mensah |
| 2017 | APSEC | Improving Bug Localization with an Enhanced Convolutional Neural Network. | Yan Xiao, Jacky Keung, Qing Mi, Kwabena Ebo Bennin |
| 2017 | QRS | Using Eye Tracking Technology to Analyze the Impact of Stylistic Inconsistency on Code Readability. | Qing Mi, Jacky Keung, Jianglin Huang, Yan Xiao |
| 2016 | EASE | An empirical analysis of reopened bugs based on open source projects. | Qing Mi, Jacky Keung |