Chao Ni - RankMe

67 papers A* 6A 7C 5Journal 42Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Abundant Modalities Offer More Nutrients: Multi-Modal-Based Function-Level Vulnerability Detection. ACM Trans. Softw. Eng. Methodol. Chao Ni, Xin Yin, Xinrui Li, Xiaodan Xu, Zhi Yu
2026	J	`jnl`	Improving the ability of pre-trained language model by imparting large language model's experience. J. Syst. Softw. Xin Yin, Chao Ni, Xinrui Li, Xiaohu Yang
2026	J	`jnl`	Learning-based models for vulnerability detection: an extensive study. Empir. Softw. Eng. Chao Ni, Xin Yin, Liyu Shen, Shaohua Wang
2026	J	`jnl`	SolAgent: A Specialized Multi-Agent Framework for Solidity Code Generation. CoRR Wei Chen, Zhiyuan Peng, Xin Yin, Chao Ni, Chenhao Ying, Bang Xie, Yuan Luo
2025	A	`conf`	A Cascaded Pipeline for Self-Directed, Model-Agnostic Unit Test Generation via LLMs. ISSRE Chao Ni, Xiaoya Wang, Xin Yin, Liushan Chen, Guojun Ma
2025	J	`jnl`	A Preference-Driven Methodology for High-Quality Solidity Code Generation. CoRR Zhiyuan Peng, Xin Yin, Chenhao Ying, Chao Ni, Yuan Luo
2025	J	`jnl`	Detecting LLM-generated Code with Subtle Modification by Adversarial Training. CoRR Xin Yin, Xinrui Li, Chao Ni, Xiaodan Xu, Xiaohu Yang
2025	J	`jnl`	Distinguishing LLM-Generated from Human-Written Code by Contrastive Learning. ACM Trans. Softw. Eng. Methodol. Xiaodan Xu, Chao Ni, Xinrong Guo, Shaoxuan Liu, Xiaoya Wang, Kui Liu, Xiaohu Yang
2025	C	`conf`	Enhancing Commit Classification for Software Maintenance with Adversarial Learning. APSEC Xinrui Li, Xin Yin, Chao Ni
2025	A*	`conf`	Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Context Injection. ASE Xin Yin, Chao Ni, Xinrui Li, Liushan Chen, Guojun Ma, Xiaohu Yang
2025	J	`jnl`	Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection. CoRR Xin Yin, Chao Ni, Xinrui Li, Liushan Chen, Guojun Ma, Xiaohu Yang
2025	J	`jnl`	Enhancing Project-Specific Code Completion by Inferring Internal API Information. CoRR Le Deng, Xiaoxue Ren, Chao Ni, Ming Liang, David Lo, Zhongxin Liu
2025	J	`jnl`	Enhancing Project-Specific Code Completion by Inferring Internal API Information. IEEE Trans. Software Eng. Le Deng, Xiaoxia Ren, Chao Ni, Ming Liang, David Lo, Zhongxin Liu
2025	J	`jnl`	Learning to Align Human Code Preferences. CoRR Xin Yin, Chao Ni, Liushan Chen, Xiaohu Yang
2025	J	`jnl`	More Effective JavaScript Breaking Change Detection via Dynamic Object Relation Graph. Proc. ACM Softw. Eng. Dezhen Kong, Jiakun Liu, Chao Ni, David Lo, Lingfeng Bao
2025	A*	`conf`	Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models. ASE Dianshu Liao, Xin Yin, Shidong Pan, Chao Ni, Zhenchang Xing, Xiaoyu Sun
2025	J	`jnl`	Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models. CoRR Dianshu Liao, Xin Yin, Shidong Pan, Chao Ni, Zhenchang Xing, Xiaoyu Sun
2025	A*	`conf`	PrefGen: A Preference-Driven Methodology for Secure Yet Gas-Efficient Smart Contract Generation. ASE Zhiyuan Peng, Xin Yin, Zijie Zhou, Chenhao Ying, Chao Ni, Yuan Luo
2025	C	`conf`	Reliable Code Generation with Test Case Prioritization and Cognitive Validation. APSEC Lingyun Huang, Xin Yin, Xinrui Li, Chao Ni
2025	J	`jnl`	RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation. CoRR Ziqi Guan, Xin Yin, Zhiyuan Peng, Chao Ni
2025	A	`conf`	Sembug: Detecting Logic Bugs in Dbms Through Generating Semantic-Aware Non-Optimizing Query. ICPC Shiyang Ye, Chao Ni, Jue Wang, Qianqian Pang, Xinrui Li, Xiaodan Xu
2025	J	`jnl`	Semi-supervised software vulnerability assessment via code lexical and structural information fusion. Autom. Softw. Eng. Wenlong Pei, Yilin Huang, Xiang Chen, Guilong Lu, Yong Liu, Chao Ni
2025	A*	`conf`	What You See is What You Get: Attention-Based Self-Guided Automatic Unit Test Generation. ICSE Xin Yin, Chao Ni, Xiaodan Xu, Xiaohu Yang
2024	C	`conf`	Automatic Commit Range Identification of Untagged Version. APSEC Yan Zhu, Lingfeng Bao, Chengjie Chen, Lexiao Zhang, Xin Yin, Chao Ni
2024	J	`jnl`	CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation. CoRR Chao Ni, Xiaoya Wang, Liushan Chen, Dehai Zhao, Zhengong Cai, Shaohua Wang, Xiaohu Yang
2024	J	`jnl`	Distinguishing LLM-generated from Human-written Code by Contrastive Learning. CoRR Xiaodan Xu, Chao Ni, Xinrong Guo, Shaoxuan Liu, Xiaoya Wang, Kui Liu, Xiaohu Yang
2024	J	`jnl`	Enhancing Bug-Inducing Commit Identification: A Fine-Grained Semantic Analysis Approach. IEEE Trans. Software Eng. Lingxiao Tang, Chao Ni, Qiao Huang, Lingfeng Bao
2024	J	`jnl`	Enhancing Discriminative Tasks by Guiding the Pre-trained Language Model with Large Language Model's Experience. CoRR Xin Yin, Chao Ni, Xiaodan Xu, Xinrui Li, Xiaohu Yang
2024	J	`jnl`	Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo
2024	J	`jnl`	Learning-based Models for Vulnerability Detection: An Extensive Study. CoRR Chao Ni, Liyu Shen, Xiaodan Xu, Xin Yin, Shaohua Wang
2024	J	`jnl`	MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation. CoRR Chao Ni, Liyu Shen, Xiaohu Yang, Yan Zhu, Shaohua Wang
2024	A	`conf`	MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations. MSR Chao Ni, Liyu Shen, Xiaohu Yang, Yan Zhu, Shaohua Wang
2024	J	`jnl`	Multitask-Based Evaluation of Open-Source LLM on Software Vulnerability. IEEE Trans. Software Eng. Xin Yin, Chao Ni, Shaohua Wang
2024	J	`jnl`	Multitask-based Evaluation of Open-Source LLM on Software Vulnerability. CoRR Xin Yin, Chao Ni, Shaohua Wang
2024	J	`jnl`	Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models. CoRR Yan Wang, Xiaoning Li, Tien Nguyen, Shaohua Wang, Chao Ni, Ling Ding
2024	J	`jnl`	Natural Is the Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models. Proc. ACM Softw. Eng. Yan Wang, Xiaoning Li, Tien N. Nguyen, Shaohua Wang, Chao Ni, Ling Ding
2024	J	`jnl`	Rectifier: Code Translation with Corrector via LLMs. CoRR Xin Yin, Chao Ni, Tien N. Nguyen, Shaohua Wang, Xiaohu Yang
2024	A	`conf`	ThinkRepair: Self-Directed Automated Program Repair. ISSTA Xin Yin, Chao Ni, Shaohua Wang, Zhenhao Li, Limin Zeng, Xiaohu Yang
2024	J	`jnl`	ThinkRepair: Self-Directed Automated Program Repair. CoRR Xin Yin, Chao Ni, Shaohua Wang, Zhenhao Li, Limin Zeng, Xiaohu Yang
2024	J	`jnl`	What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation. CoRR Xin Yin, Chao Ni, Xiaodan Xu, Xiaohu Yang
2023	—	`conf`	An Empirical Study of the Apache Voting Process on Open Source Community Governance. Internetware Jisheng Wang, Lingfeng Bao, Chao Ni
2023	A	`conf`	Automatic Identification of Crash-inducing Smart Contracts. SANER Chao Ni, Cong Tian, Kaiwen Yang, David Lo, Jiachi Chen, Xiaohu Yang
2023	A	`conf`	Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes. MSR Chao Ni, Xiaodan Xu, Kaiwen Yang, David Lo
2023	J	`jnl`	Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics. J. Syst. Softw. Xiang Chen, Hongling Xia, Wenlong Pei, Chao Ni, Ke Liu
2023	J	`jnl`	Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go? ACM Trans. Softw. Eng. Methodol. Zhaoqiang Guo, Shiran Liu, Xutong Liu, Wei Lai, Mingliang Ma, Xu Zhang, Chao Ni, Yibiao Yang, Yanhui Li, Lin Chen, Guoqiang Zhou, Yuming Zhou
2023	—	`conf`	C³: Code Clone-Based Identification of Duplicated Components. ESEC/SIGSOFT FSE Yanming Yang, Ying Zou, Xing Hu, David Lo, Chao Ni, John C. Grundy, Xin Xia
2023	—	`conf`	Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. ESEC/SIGSOFT FSE Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia
2023	J	`jnl`	Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. CoRR Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia
2023	A	`conf`	FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic. ICPC Chao Ni, Liyu Shen, Wei Wang, Xiang Chen, Xin Yin, Lexiao Zhang
2023	A*	`conf`	Function-Level Vulnerability Detection Through Fusing Multi-Modal Knowledge. ASE Chao Ni, Xinrong Guo, Yan Zhu, Xiaodan Xu, Xiaohu Yang
2023	A*	`conf`	Unifying Defect Prediction, Categorization, and Repair by Multi-Task Deep Learning. ASE Chao Ni, Kaiwen Yang, Yan Zhu, Xiang Chen, Xiaohu Yang
2022	J	`jnl`	Defect Identification, Categorization, and Repair: Better Together. CoRR Chao Ni, Kaiwen Yang, Xin Xia, David Lo, Xiang Chen, Xiaohu Yang
2022	—	`conf`	Detecting and Defending CSRF at API-Level. ISSRE Workshops Shun Wang, Chao Ni, Jianbo Wang, Changhai Nie
2022	J	`jnl`	Just-In-Time Defect Prediction on JavaScript Projects: A Replication Study. ACM Trans. Softw. Eng. Methodol. Chao Ni, Xin Xia, David Lo, Xiaohu Yang, Ahmed E. Hassan
2022	J	`jnl`	Revisiting Supervised and Unsupervised Methods for Effort-Aware Cross-Project Defect Prediction. IEEE Trans. Software Eng. Chao Ni, Xin Xia, David Lo, Xiang Chen, Qing Gu
2022	—	`conf`	The best of both worlds: integrating semantic features with expert features for defect prediction and localization. ESEC/SIGSOFT FSE Chao Ni, Wei Wang, Kaiwen Yang, Xin Xia, Kui Liu, David Lo
2021	J	`jnl`	Revisiting heterogeneous defect prediction methods: How far are we? Inf. Softw. Technol. Xiang Chen, Yanzhou Mu, Ke Liu, Zhanqi Cui, Chao Ni
2020	J	`jnl`	Do different cross-project defect prediction methods identify the same defective modules? J. Softw. Evol. Process. Xiang Chen, Yanzhou Mu, Yubin Qu, Chao Ni, Meng Liu, Tong He, Shangqing Liu
2020	C	`conf`	Revisiting Dependence Cluster Metrics based Defect Prediction. SEKE Qiguo Huang, Xiang Chen, Zhengliang Li, Chao Ni, Qing Gu
2019	J	`jnl`	An empirical study on pareto based multi-objective feature selection for software defect prediction. J. Syst. Softw. Chao Ni, Xiang Chen, Fangfang Wu, Yuxiang Shen, Qing Gu
2019	C	`conf`	Multi-project Regression based Approach for Software Defect Number Prediction. SEKE Qiguo Huang, Chao Ni, Xiang Chen, Qing Gu, Kaibo Cao
2019	J	`jnl`	Multitask defect prediction. J. Softw. Evol. Process. Chao Ni, Xiang Chen, Xin Xia, Qing Gu, Yingquan Zhao
2019	J	`jnl`	Revisiting Heterogeneous Defect Prediction: How Far Are We? CoRR Xiang Chen, Yanzhou Mu, Chao Ni, Zhanqi Cui
2019	J	`jnl`	Software defect number prediction: Unsupervised vs supervised methods. Inf. Softw. Technol. Xiang Chen, Dun Zhang, Yingquan Zhao, Zhanqi Cui, Chao Ni
2017	J	`jnl`	A Cluster Based Feature Selection Method for Cross-Project Software Defect Prediction. J. Comput. Sci. Technol. Chao Ni, Wangshu Liu, Xiang Chen, Qing Gu, Daoxu Chen, George Q. Huang
2017	—	`conf`	FeSCH: A Feature Selection Method using Clusters of Hybrid-data for Cross-Project Defect Prediction. COMPSAC (1) Chao Ni, Wangshu Liu, Qing Gu, Xiang Chen, Daoxu Chen
2009	—	`conf`	Bottom-up fabrication of special parylene films based on selective growth on Au-coated surface. NEMS Yi Zhou, Fei Ding, Chao Ni, Wei Wang, Wengang Wu