Professor | Chao Ni | Asia Growth Partners

Name	Chao Ni
Contact Information	chaoni@zju.edu.cn
Language ability	Chinese, English
Province	Zhejiang

Name

Chao Ni

Contact Information

chaoni@zju.edu.cn

Language ability

Chinese, English

Province

Zhejiang

University/Lab Affiliation and Title	Zhejiang University
Faculty	Software Technology
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
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
Awards	Ningbo City 'Yongjiang Talent Project' Leading Top Talent Award Ningbo City Natural Science Foundation Project

University/Lab Affiliation and Title

Zhejiang University

Faculty

Software Technology

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

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

Awards

Ningbo City 'Yongjiang Talent Project' Leading Top Talent Award
Ningbo City Natural Science Foundation Project

Areas of Focus	Intelligent Software Engineering Software Security Blockchain Intelligent Manufacturing
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

Areas of Focus

Intelligent Software Engineering
Software Security
Blockchain
Intelligent Manufacturing

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

Ai Data Mining Defect Prediction Defect Localization Automated Defect Repair Security Vulnerability Detection Explainable Security Blockchain Intelligent Systems Software Development

Zhengong Cai - Zhejiang University

Ningyu Zhang - Zhejiang University

Yu Zhi - Zhejiang University

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