个人简介

李重，南京大学软件学院助理研究员。2023年于南京大学计算机科学与技术系获博士学位。主要研究方向为智能软件工程，包括人工智能赋能的软件工程和面向人工智能的软件工程。近年来先后在ICSE、ASE、ISSTA、ICML、TOSEM、TSE等国际顶级会议和期刊上发表论文10余篇。

欢迎对智能软件工程相关研究感兴趣的同学与我联系。

更多信息请访问个人主页：https://zzlexp.github.io/。

近期部分成果

[ASEJ2024, CCF-B] Jian Shen, Zhong Li, Yifei Lu, Minxue Pan, Xuandong Li. Mitigating the Impact of Mislabeled Data on Deep Predictive Models: An Empirical Study of Learning with Noise Approaches in Software Engineering Tasks.

[ISSTA2024, CCF-A] Zhong Li, Zhengfeng Xu, Ruihua Ji, Minxue Pan, Tian Zhang, Linzhang Wang, Xuandong Li. Distance-Aware Test Input Selection for Deep Neural Networks.

[TOSEM2024, CCF-A] Tingwei Zhu, Zhong Li, Minxue Pan, Chaoxuan Shi, Tian Zhang, Yu Pei, Xuandong Li. Deep is Better? An Empirical Comparison of Information Retrieval and Deep Learning Approaches to Code Summarization.

[ICSE2024, CCF-A] Yuanhong Lan, Yifei Lu, Zhong Li, Minxue Pan, Wenhua Yang, Tian Zhang, Xuandong Li. Deeply Reinforcing Android GUI Testing with Deep Reinforcement Learning.

[FCS2024, CCF-B] Zhong Li, Minxue Pan, Yu Pei, Tian Zhang, Linzhang Wang, Xuandong Li. Empirically revisiting and enhancing automatic classification of bug and non-bug issues.

[ASE2022, CCF-A] Zhong Li, Minxue Pan, Yu Pei, Tian Zhang, Linzhang Wang, Xuandong Li. Robust Learning of Deep Predictive Models from Noisy and Imbalanced Software Engineering Datasets.

[ICML2021, CCF-A] Zhong Li, Minxue Pan, Yu Pei, Tian Zhang, Linzhang Wang, Xuandong Li. Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions.

[TSE2020, CCF-A] Minxue Pan, Tongtong Xu, Yu Pei, Zhong Li, Tian Zhang, Xuandong Li. GUI-Guided Test Script Repair for Mobile Apps.

[ICST2018, CCF-C] Ruihua Ji, Zhong Li, Shouyu Chen, Minxue Pan, Tian Zhang, Shaukat Ali, Tao Yue, Xuandong Li. Uncovering Unknown System Behaviors in Uncertain Networks with Model and Search-Based Testing.