Bottom-up fabrication of special parylene films based on selective growth on Au-coated surface. - Yi Zhou; Fei Ding; Chao Ni 001; Wei Wang 087; Wengang Wu (NEMS, 2009)

FeSCH: A Feature Selection Method using Clusters of Hybrid-data for Cross-Project Defect Prediction. - Chao Ni 001; Wangshu Liu; Qing Gu 001; Xiang Chen 005; Daoxu Chen (COMPSAC (1), 2017)

A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction. - Chao Ni 001; Wangshu Liu; Xiang Chen 005; Qing Gu 001; Daoxu Chen; George Q. Huang (J. Comput. Sci. Technol., 2017)

Multi-project Regression based Approach for Software Defect Number Prediction. - Qiguo Huang; Chao Ni 001; Xiang Chen 005; Qing Gu 001; Kaibo Cao (SEKE, 2019)

Revisiting Heterogeneous Defect Prediction: How Far Are We? - Xiang Chen 005; Yanzhou Mu; Chao Ni 001; Zhanqi Cui (CoRR, 2019)

Software defect number prediction: Unsupervised vs supervised methods. - Xiang Chen 005; Dun Zhang; Yingquan Zhao; Zhanqi Cui; Chao Ni 001 (Inf. Softw. Technol., 2019)

An empirical study on pareto based multi-objective feature selection for software defect prediction. - Chao Ni 001; Xiang Chen 005; Fangfang Wu; Yuxiang Shen; Qing Gu 001 (J. Syst. Softw., 2019)

Multitask defect prediction. - Chao Ni 001; Xiang Chen 005; Xin Xia 001; Qing Gu 001; Yingquan Zhao (J. Softw. Evol. Process., 2019)

Revisiting Dependence Cluster Metrics based Defect Prediction. - Qiguo Huang; Xiang Chen 005; Zhengliang Li; Chao Ni 001; Qing Gu 001 (SEKE, 2020)

Do different cross-project defect prediction methods identify the same defective modules? - Xiang Chen 005; Yanzhou Mu; Yubin Qu; Chao Ni 001; Meng Liu; Tong He; Shangqing Liu (J. Softw. Evol. Process., 2020)

Revisiting heterogeneous defect prediction methods: How far are we? - Xiang Chen 005; Yanzhou Mu; Ke Liu; Zhanqi Cui; Chao Ni 001 (Inf. Softw. Technol., 2021)

Detecting and Defending CSRF at API-Level. - Shun Wang; Chao Ni 001; Jianbo Wang; Changhai Nie (ISSRE Workshops, 2022)

The best of both worlds: integrating semantic features with expert features for defect prediction and localization. - Chao Ni 001; Wei Wang 087; Kaiwen Yang; Xin Xia 001; Kui Liu 001; David Lo 001 (ESEC/SIGSOFT FSE, 2022)

Defect Identification, Categorization, and Repair: Better Together. - Chao Ni 001; Kaiwen Yang; Xin Xia 001; David Lo 001; Xiang Chen 005; Xiaohu Yang 001 (CoRR, 2022)

Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study. - Chao Ni 001; Xin Xia 001; David Lo 001; Xiaohu Yang 001; Ahmed E. Hassan (ACM Trans. Softw. Eng. Methodol., 2022)

Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction. - Chao Ni 001; Xin Xia 001; David Lo 001; Xiang Chen 005; Qing Gu 001 (IEEE Trans. Software Eng., 2022)

An Empirical Study of the Apache Voting Process on Open Source Community Governance. - Jisheng Wang; Lingfeng Bao; Chao Ni 001 (Internetware, 2023)

FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic. - Chao Ni 001; Liyu Shen; Wei Wang 087; Xiang Chen 005; Xin Yin; Lexiao Zhang (ICPC, 2023)

Function-Level Vulnerability Detection Through Fusing Multi-Modal Knowledge. - Chao Ni 001; Xinrong Guo; Yan Zhu; Xiaodan Xu; Xiaohu Yang 001 (ASE, 2023)

Unifying Defect Prediction, Categorization, and Repair by Multi-Task Deep Learning. - Chao Ni 001; Kaiwen Yang; Yan Zhu; Xiang Chen 005; Xiaohu Yang 001 (ASE, 2023)

Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes. - Chao Ni 001; Xiaodan Xu; Kaiwen Yang; David Lo 001 (MSR, 2023)

Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. - Chao Ni 001; Xin Yin; Kaiwen Yang; Dehai Zhao; Zhenchang Xing; Xin Xia 001 (ESEC/SIGSOFT FSE, 2023)

C³: Code Clone-Based Identification of Duplicated Components. - Yanming Yang; Ying Zou 001; Xing Hu 008; David Lo 001; Chao Ni 001; John C. Grundy; Xin Xia 001 (ESEC/SIGSOFT FSE, 2023)

Automatic Identification of Crash-inducing Smart Contracts. - Chao Ni 001; Cong Tian; Kaiwen Yang; David Lo 001; Jiachi Chen; Xiaohu Yang 001 (SANER, 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 001; Yibiao Yang; Yanhui Li; Lin Chen 015; Guoqiang Zhou; Yuming Zhou (ACM Trans. Softw. Eng. Methodol., 2023)

Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics. - Xiang Chen 005; Hongling Xia; Wenlong Pei; Chao Ni 001; Ke Liu (J. Syst. Softw., 2023)

Automatic Commit Range Identification of Untagged Version. - Yan Zhu; Lingfeng Bao; Chengjie Chen; Lexiao Zhang; Xin Yin; Chao Ni 001 (APSEC, 2024)

ThinkRepair: Self-Directed Automated Program Repair. - Xin Yin; Chao Ni 001; Shaohua Wang 002; Zhenhao Li 002; Limin Zeng; Xiaohu Yang 001 (ISSTA, 2024)

MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations. - Chao Ni 001; Liyu Shen; Xiaohu Yang 001; Yan Zhu; Shaohua Wang 002 (MSR, 2024)

Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models. - Yan Wang 014; Xiaoning Li; Tien Nguyen; Shaohua Wang 002; Chao Ni 001; Ling Ding (CoRR, 2024)

MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation. - Chao Ni 001; Liyu Shen; Xiaohu Yang 001; Yan Zhu; Shaohua Wang 002 (CoRR, 2024)

CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation. - Chao Ni 001; Xiaoya Wang; Liushan Chen; Dehai Zhao; Zhengong Cai; Shaohua Wang 002; Xiaohu Yang 001 (CoRR, 2024)

Rectifier: Code Translation with Corrector via LLMs. - Xin Yin; Chao Ni 001; Tien N. Nguyen; Shaohua Wang 002; Xiaohu Yang 001 (CoRR, 2024)

Learning-based Models for Vulnerability Detection: An Extensive Study. - Chao Ni 001; Liyu Shen; Xiaodan Xu; Xin Yin; Shaohua Wang 002 (CoRR, 2024)

Enhancing Discriminative Tasks by Guiding the Pre-trained Language Model with Large Language Model's Experience. - Xin Yin; Chao Ni 001; Xiaodan Xu; Xinrui Li; Xiaohu Yang 001 (CoRR, 2024)

Natural Is the Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models. - Yan Wang 014; Xiaoning Li; Tien N. Nguyen; Shaohua Wang 002; Chao Ni 001; Ling Ding (Proc. ACM Softw. Eng., 2024)

Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. - Yanming Yang; Xing Hu 008; Zhipeng Gao 002; Jinfu Chen 002; Chao Ni 001; Xin Xia 001; David Lo 001 (IEEE Trans. Software Eng., 2024)

Enhancing Bug-Inducing Commit Identification: A Fine-Grained Semantic Analysis Approach. - Lingxiao Tang; Chao Ni 001; Qiao Huang; Lingfeng Bao (IEEE Trans. Software Eng., 2024)

Multitask-Based Evaluation of Open-Source LLM on Software Vulnerability. - Xin Yin; Chao Ni 001; Shaohua Wang 002 (IEEE Trans. Software Eng., 2024)

What You See is What You Get: Attention-Based Self-Guided Automatic Unit Test Generation. - Xin Yin; Chao Ni 001; Xiaodan Xu; Xiaohu Yang 001 (ICSE, 2025)

Sembug: Detecting Logic Bugs in Dbms Through Generating Semantic-Aware Non-Optimizing Query. - Shiyang Ye; Chao Ni 001; Jue Wang; Qianqian Pang; Xinrui Li; Xiaodan Xu (ICPC, 2025)

More Effective JavaScript Breaking Change Detection via Dynamic Object Relation Graph. - Dezhen Kong; Jiakun Liu; Chao Ni 001; David Lo 001; Lingfeng Bao (Proc. ACM Softw. Eng., 2025)

Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection. - Xin Yin; Chao Ni 001; Xinrui Li; Liushan Chen; Guojun Ma; Xiaohu Yang 001 (CoRR, 2025)

Distinguishing LLM-Generated from Human-Written Code by Contrastive Learning. - Xiaodan Xu; Chao Ni 001; Xinrong Guo; Shaoxuan Liu; Xiaoya Wang; Kui Liu 001; Xiaohu Yang 001 (ACM Trans. Softw. Eng. Methodol., 2025)

A Preference-Driven Methodology for High-Quality Solidity Code Generation. - Zhiyuan Peng; Xin Yin; Chenhao Ying 001; Chao Ni 001; Yuan Luo 003 (CoRR, 2025)

Detecting LLM-generated Code with Subtle Modification by Adversarial Training. - Xin Yin; Xinrui Li; Chao Ni 001; Xiaodan Xu; Xiaohu Yang 001 (CoRR, 2025)

Learning to Align Human Code Preferences. - Xin Yin; Chao Ni 001; Liushan Chen; Xiaohu Yang 001 (CoRR, 2025)

Enhancing Project-Specific Code Completion by Inferring Internal API Information. - Le Deng; Xiaoxue Ren; Chao Ni 001; Ming Liang; David Lo 001; Zhongxin Liu 002 (CoRR, 2025)

Semi-supervised software vulnerability assessment via code lexical and structural information fusion. - Wenlong Pei; Yilin Huang; Xiang Chen 005; Guilong Lu; Yong Liu 030; Chao Ni 001 (Autom. Softw. Eng., 2025)