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Chao Ni 0001
Person information
- unicode name: 倪超
- affiliation: Zhejiang University, School of Software Technology, Ningbo, China
- affiliation (PhD 2020): Nanjing University, China
Other persons with the same name
- Chao Ni 0002
— Nanjing Forestry University, College of Mechanical and Electronic Engineering, China (and 1 more)
- Chao Ni 0003
- Chao Ni 0004 — Peking University, Institute of Microelectronics, Beijing, China
- Chao Ni 0005
- Chao Ni 0006 — Lianyungang Navigation Mark Office, Jiangsu, China
- Chao Ni 0007
- Chao Ni 0008 — Beike Inc., Beijing, China
- Chao Ni 0009 — Dalian University of Technology, State Key Laboratory of High-Performance Precision Manufacturing, China
- Chao Ni 0010 — Zhejiang University, Second Affiliated Hospital, Department of Breast Surgery, Hangzhou, China
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2020 – today
- 2024
- [j14]Yan Wang
Natural Is the Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models. Proc. ACM Softw. Eng. 1(FSE): 586-608 (2024) - [j13]Yanming Yang
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. 50(2): 296-321 (2024) - [j12]Lingxiao Tang, Chao Ni, Qiao Huang, Lingfeng Bao:
Enhancing Bug-Inducing Commit Identification: A Fine-Grained Semantic Analysis Approach. IEEE Trans. Software Eng. 50(11): 3037-3052 (2024) - [j11]Xin Yin, Chao Ni, Shaohua Wang:
Multitask-Based Evaluation of Open-Source LLM on Software Vulnerability. IEEE Trans. Software Eng. 50(11): 3071-3087 (2024) - [c16]Xin Yin
ThinkRepair: Self-Directed Automated Program Repair. ISSTA 2024: 1274-1286 - [c15]Chao Ni
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations. MSR 2024: 738-742 - [i11]Xin Yin, Chao Ni, Shaohua Wang:
Multitask-based Evaluation of Open-Source LLM on Software Vulnerability. CoRR abs/2404.02056 (2024) - [i10]Yan Wang, Xiaoning Li, Tien Nguyen, Shaohua Wang, Chao Ni, Ling Ding:
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models. CoRR abs/2405.11196 (2024) - [i9]Chao Ni, Liyu Shen, Xiaohu Yang, Yan Zhu, Shaohua Wang:
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation. CoRR abs/2406.12415 (2024) - [i8]Chao Ni, Xiaoya Wang, Liushan Chen, Dehai Zhao, Zhengong Cai, Shaohua Wang, Xiaohu Yang:
CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation. CoRR abs/2406.15743 (2024) - [i7]Xin Yin, Chao Ni, Tien N. Nguyen, Shaohua Wang, Xiaohu Yang:
Rectifier: Code Translation with Corrector via LLMs. CoRR abs/2407.07472 (2024) - [i6]Xin Yin, Chao Ni, Shaohua Wang, Zhenhao Li, Limin Zeng, Xiaohu Yang:
ThinkRepair: Self-Directed Automated Program Repair. CoRR abs/2407.20898 (2024) - [i5]Chao Ni, Liyu Shen, Xiaodan Xu, Xin Yin, Shaohua Wang:
Learning-based Models for Vulnerability Detection: An Extensive Study. CoRR abs/2408.07526 (2024) - [i4]Xin Yin, Chao Ni, Xiaodan Xu, Xinrui Li, Xiaohu Yang:
Enhancing Discriminative Tasks by Guiding the Pre-trained Language Model with Large Language Model's Experience. CoRR abs/2408.08553 (2024) - 2023
- [j10]Xiang Chen
Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics. J. Syst. Softw. 206: 111853 (2023) - [j9]Zhaoqiang Guo
Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go? ACM Trans. Softw. Eng. Methodol. 32(4): 102:1-102:55 (2023) - [c14]Jisheng Wang
An Empirical Study of the Apache Voting Process on Open Source Community Governance. Internetware 2023: 101-111 - [c13]Chao Ni, Liyu Shen, Wei Wang, Xiang Chen, Xin Yin, Lexiao Zhang:
FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic. ICPC 2023: 339-350 - [c12]Chao Ni, Xinrong Guo, Yan Zhu, Xiaodan Xu, Xiaohu Yang:
Function-Level Vulnerability Detection Through Fusing Multi-Modal Knowledge. ASE 2023: 1911-1918 - [c11]Chao Ni, Kaiwen Yang, Yan Zhu, Xiang Chen, Xiaohu Yang:
Unifying Defect Prediction, Categorization, and Repair by Multi-Task Deep Learning. ASE 2023: 1980-1992 - [c10]Chao Ni, Xiaodan Xu, Kaiwen Yang, David Lo
Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes. MSR 2023: 472-484 - [c9]Chao Ni
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. ESEC/SIGSOFT FSE 2023: 1611-1622 - [c8]Yanming Yang
C³: Code Clone-Based Identification of Duplicated Components. ESEC/SIGSOFT FSE 2023: 1832-1843 - [c7]Chao Ni, Cong Tian, Kaiwen Yang, David Lo
Automatic Identification of Crash-inducing Smart Contracts. SANER 2023: 108-119 - [i3]Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia:
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. CoRR abs/2308.11237 (2023) - 2022
- [j8]Chao Ni
Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study. ACM Trans. Softw. Eng. Methodol. 31(4): 76:1-76:38 (2022) - [j7]Chao Ni
Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction. IEEE Trans. Software Eng. 48(3): 786-802 (2022) - [c6]Shun Wang, Chao Ni, Jianbo Wang, Changhai Nie:
Detecting and Defending CSRF at API-Level. ISSRE Workshops 2022: 75-80 - [c5]Chao Ni, Wei Wang, Kaiwen Yang, Xin Xia, Kui Liu, David Lo
The best of both worlds: integrating semantic features with expert features for defect prediction and localization. ESEC/SIGSOFT FSE 2022: 672-683 - [i2]Chao Ni, Kaiwen Yang, Xin Xia, David Lo, Xiang Chen, Xiaohu Yang:
Defect Identification, Categorization, and Repair: Better Together. CoRR abs/2204.04856 (2022) - 2021
- [j6]Xiang Chen, Yanzhou Mu, Ke Liu, Zhanqi Cui, Chao Ni:
Revisiting heterogeneous defect prediction methods: How far are we? Inf. Softw. Technol. 130: 106441 (2021) - 2020
- [j5]Xiang Chen
Do different cross-project defect prediction methods identify the same defective modules? J. Softw. Evol. Process. 32(5) (2020) - [c4]Qiguo Huang, Xiang Chen, Zhengliang Li, Chao Ni, Qing Gu:
Revisiting Dependence Cluster Metrics based Defect Prediction. SEKE 2020: 329-334
2010 – 2019
- 2019
- [j4]Xiang Chen
Software defect number prediction: Unsupervised vs supervised methods. Inf. Softw. Technol. 106: 161-181 (2019) - [j3]Chao Ni
An empirical study on pareto based multi-objective feature selection for software defect prediction. J. Syst. Softw. 152: 215-238 (2019) - [j2]Chao Ni
Multitask defect prediction. J. Softw. Evol. Process. 31(12) (2019) - [c3]Qiguo Huang, Chao Ni, Xiang Chen, Qing Gu, Kaibo Cao:
Multi-project Regression based Approach for Software Defect Number Prediction. SEKE 2019: 425-546 - [i1]Xiang Chen, Yanzhou Mu, Chao Ni, Zhanqi Cui:
Revisiting Heterogeneous Defect Prediction: How Far Are We? CoRR abs/1908.06560 (2019) - 2017
- [j1]Chao Ni, Wangshu Liu, Xiang Chen, Qing Gu, Daoxu Chen, George Q. Huang:
A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction. J. Comput. Sci. Technol. 32(6): 1090-1107 (2017) - [c2]Chao Ni, Wangshu Liu, Qing Gu, Xiang Chen, Daoxu Chen:
FeSCH: A Feature Selection Method using Clusters of Hybrid-data for Cross-Project Defect Prediction. COMPSAC (1) 2017: 51-56
2000 – 2009
- 2009
- [c1]Yi Zhou, Fei Ding, Chao Ni, Wei Wang, Wengang Wu:
Bottom-up fabrication of special parylene films based on selective growth on Au-coated surface. NEMS 2009: 441-444
Coauthor Index
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last updated on 2024-12-12 21:00 CET by the dblp team
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