Areas of Focus
- Intelligent Software Engineering
- Software Security
- Blockchain
- Intelligent Manufacturing
Work Experience
- 2020 - Now - School of Software Technology, Zhejiang University, Hangzhou, China, Associate Professor & Distinguished Research Fellow
- 2018 - 2019 - Monash University, Melbourne, Australia, Visiting scholar
Academic Background & Achievements
- 2017-2020 Doctoral degree: Software Engineering, Department of Computer Science and Technology, Nanjing University
- 2014-2017 Master's Degree: Software Engineering, Department of Computer Science and Technology, Nanjing University
- 2010-2014 Bachelor's Degree: Software Engineering, School of Computer Science and Technology, Nantong University
Publications
- Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models, Yan Wang, Xiaoning Li, Tien Nguyen, Shaohua Wang, Chao Ni, Ling Ding, 2024
- Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction, Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo, 2023
- Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation, Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia, 2023
- Code-line-level bugginess identification: How far have we come, and how far have we yet to go?, Zhaoqiang Guo, Shiran Liu, Xutong Liu, Wei Lai, Mingliang Ma, Xu Zhang, Chao Ni, Yibiao Yang, Yanhui Li, Lin Chen, Guoqiang Zhou, Yuming Zhou, 2022
- The Best of Both Worlds: Integrating Semantic Features with Expert Features for Defect Prediction and Localization, Chao Ni, Wei Wang, Kaiwen Yang, Xin Xia, Kui Liu, David Lo, 2022
- Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study, Chao Ni, Xin Xia, David Lo, Xiaohu Yang, Ahmed E. Hassan, 2021
- Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction, Chao Ni, Xin Xia, David Lo, Xiang Chen, Qing Gu, 2020
Awards
- Ningbo City 'Yongjiang Talent Project' Leading Top Talent Award
- Ningbo City Natural Science Foundation Project
