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ORCIDXing Hu 0008
Person information
- affiliation: Zhejiang University, School of Software Technology, Ningbo, China
- affiliation (former): Peking University, Key Laboratory of High Confidence Software Technologies, China
Other persons with the same name
- Xing Hu — disambiguation page
- Xing Hu 0001
![[0000-0002-9979-0561]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9979-0561")
— Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China (and 3 more) - Xing Hu 0002 — Southeast University, School of Electrical Engineering, Nanjing, China
- Xing Hu 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, China
- Xing Hu 0004 — University of Oregon, Charles H. Lundquist School of Business, Eugene, OR, USA
- Xing Hu 0005 — Air Force Engineering University, School of Aeronautics and Astronautics Engineering, Xi'an, China
- Xing Hu 0006 — University of Shanghai for Science and Technology, School of Optical-Electrical and Computer Engineering, China
- Xing Hu 0007 — Shanghai Jiao Tong University, School of Aeronautics and Astronautics, China
- Xing Hu 0009 — University of Toronto, Canada
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Journal Articles
- 2024
[j9]Yubo Mai, Zhipeng Gao, Xing Hu, Lingfeng Bao, Yu Liu, Jianling Sun:
Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning. Proc. ACM Softw. Eng. 1(FSE): 2355-2377 (2024)- [j8]Yanming Yang, Xing Hu, Xin Xia, Xiaohu Yang:
The Lost World: Characterizing and Detecting Undiscovered Test Smells. ACM Trans. Softw. Eng. Methodol. 33(3): 59:1-59:32 (2024) - [j7]Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia:
Poison Attack and Poison Detection on Deep Source Code Processing Models. ACM Trans. Softw. Eng. Methodol. 33(3): 62:1-62:31 (2024) - [j6]Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo:
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. 50(2): 296-321 (2024) - 2023
- [j5]Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, Zhiyi Fu:
CodeEditor: Learning to Edit Source Code with Pre-trained Models. ACM Trans. Softw. Eng. Methodol. 32(6): 143:1-143:22 (2023) - [j4]Junwei Zhang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code. IEEE Trans. Software Eng. 49(8): 4196-4212 (2023) - 2022
- [j3]Hao Yu, Xing Hu, Ge Li, Ying Li, Qianxiang Wang, Tao Xie:
Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning. ACM Trans. Softw. Eng. Methodol. 31(4): 62:1-62:25 (2022) - [j2]Xing Hu, Qiuyuan Chen, Haoye Wang, Xin Xia, David Lo, Thomas Zimmermann:
Correlating Automated and Human Evaluation of Code Documentation Generation Quality. ACM Trans. Softw. Eng. Methodol. 31(4): 63:1-63:28 (2022) - 2020
- [j1]Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin:
Deep code comment generation with hybrid lexical and syntactical information. Empir. Softw. Eng. 25(3): 2179-2217 (2020)
Conference and Workshop Papers
- 2024
- [c31]Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo:
Code Search is All You Need? Improving Code Suggestions with Code Search. ICSE 2024: 73:1-73:13 - [c30]Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. ICSE 2024: 80:1-80:13 - [c29]Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li:
Towards More Practical Automation of Vulnerability Assessment. ICSE 2024: 148:1-148:13 - [c28]Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li:
PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. ICSE 2024: 167:1-167:12 - [c27]Jiakun Liu, Zicheng Zhang, Xing Hu, Ferdian Thung, Shahar Maoz, Debin Gao, Eran Toch, Zhipeng Zhao, David Lo:
MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating. ICSE 2024: 206:1-206:13 - [c26]Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang:
PPT4J: Patch Presence Test for Java Binaries. ICSE 2024: 225:1-225:12 - [c25]Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang:
Exploiting Library Vulnerability via Migration Based Automating Test Generation. ICSE 2024: 228:1-228:12 - [c24]Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, David Lo, Xiaohu Yang:
MUT: Human-in-the-Loop Unit Test Migration. ICSE 2024: 229:1-229:12 - [c23]Yanming Yang, Xing Hu, Xin Xia, David Lo, Xiaohu Yang:
Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine. ICSE 2024: 230:1-230:12 - [c22]Junwei Zhang, Zhongxin Liu, Lingfeng Bao, Zhenchang Xing, Xing Hu, Xin Xia:
Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software. Internetware 2024 - [c21]Jiaqi Wu, Lingfeng Bao, Xiaohu Yang, Xin Xia, Xing Hu:
A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. MSR 2024: 595-606 - [c20]Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li:
Unveil the Mystery of Critical Software Vulnerabilities. SIGSOFT FSE Companion 2024: 138-149 - [c19]Zhipeng Gao, Zhipeng Xue, Xing Hu, Weiyi Shang, Xin Xia:
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. SIGSOFT FSE Companion 2024: 306-317 - [c18]Junwei Zhang, Xing Hu, Lingfeng Bao, Xin Xia, Shanping Li:
Dual Prompt-Based Few-Shot Learning for Automated Vulnerability Patch Localization. SANER 2024: 940-951 - 2023
- [c17]Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu:
SkCoder: A Sketch-based Approach for Automatic Code Generation. ICSE 2023: 2124-2135 - [c16]Jiayuan Zhou, Michael Pacheco, Jinfu Chen, Xing Hu, Xin Xia, David Lo, Ahmed E. Hassan:
CoLeFunDa: Explainable Silent Vulnerability Fix Identification. ICSE 2023: 2565-2577 - [c15]Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang:
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. ASE 2023: 129-140 - [c14]Xing Hu, Zhuang Liu, Xin Xia, Zhongxin Liu, Tongtong Xu, Xiaohu Yang:
Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach. ASE 2023: 1111-1122 - [c13]Zhipeng Xue, Zhipeng Gao, Xing Hu, Shanping Li:
ACWRecommender: A Tool for Validating Actionable Warnings with Weak Supervision. ASE 2023: 1876-1880 - [c12]Jiakun Liu, Xing Hu, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo:
AutoDebloater: Automated Android App Debloating. ASE 2023: 2090-2093 - [c11]Yanming Yang, Ying Zou, Xing Hu, David Lo, Chao Ni, John C. Grundy, Xin Xia:
C³: Code Clone-Based Identification of Duplicated Components. ESEC/SIGSOFT FSE 2023: 1832-1843 - 2022
- [c10]Xing Hu, Xin Xia, David Lo, Zhiyuan Wan, Qiuyuan Chen, Thomas Zimmermann:
Practitioners' Expectations on Automated Code Comment Generation. ICSE 2022: 1693-1705 - [c9]Chenning Tao, Qi Zhan, Xing Hu, Xin Xia:
C4: contrastive cross-language code clone detection. ICPC 2022: 413-424 - [c8]Shengyi Pan, Jiayuan Zhou, Filipe Roseiro Côgo, Xin Xia, Lingfeng Bao, Xing Hu, Shanping Li, Ahmed E. Hassan:
Automated unearthing of dangerous issue reports. ESEC/SIGSOFT FSE 2022: 834-846 - 2021
- [c7]Xing Hu, Zhipeng Gao, Xin Xia, David Lo, Xiaohu Yang:
Automating User Notice Generation for Smart Contract Functions. ASE 2021: 5-17 - [c6]Jia Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin:
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. ASE 2021: 155-166 - 2020
- [c5]Boao Li, Meng Yan, Xin Xia, Xing Hu, Ge Li, David Lo:
DeepCommenter: a deep code comment generation tool with hybrid lexical and syntactical information. ESEC/SIGSOFT FSE 2020: 1571-1575 - 2019
- [c4]Xing Hu, Rui Men, Ge Li, Zhi Jin:
Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens. COMPSAC (1) 2019: 159-168 - 2018
- [c3]Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin:
Summarizing Source Code with Transferred API Knowledge. IJCAI 2018: 2269-2275 - [c2]Xing Hu, Ge Li, Xin Xia, David Lo, Zhi Jin:
Deep code comment generation. ICPC 2018: 200-210 - 2016
- [c1]Xing Hu, Rui Zhang, Qianxiang Wang:
Service-Oriented Resource Management of Cloud Platforms. SCC 2016: 435-442
Editorship
- 2024
- [e1]David Lo, Xin Xia, Massimiliano Di Penta, Xing Hu:
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, FORGE 2024, Lisbon, Portugal, 14 April 2024. ACM 2024 [contents]
Informal and Other Publications
- 2024
- [i21]Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu:
Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. CoRR abs/2401.01060 (2024) - [i20]Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia:
Evaluating Large Language Models with Runtime Behavior of Program Execution. CoRR abs/2403.16437 (2024) - [i19]Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Automating Zero-Shot Patch Porting for Hard Forks. CoRR abs/2404.17964 (2024) - [i18]Zhipeng Gao, Zhipeng Xue, Xing Hu, Weiyi Shang, Xin Xia:
Easy over Hard: A Simple Baseline for Test Failures Causes Prediction. CoRR abs/2405.02922 (2024) - [i17]Yubo Mai, Zhipeng Gao, Xing Hu, Lingfeng Bao, Yu Liu, Jianling Sun:
Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning. CoRR abs/2405.03509 (2024) - [i16]SiQi Wang, Xing Hu, Bei Wang, WenXin Yao, Xin Xia, XingYu Wang:
Insights into Deep Learning Refactoring: Bridging the Gap Between Practices and Expectations. CoRR abs/2405.04861 (2024) - [i15]Zhipeng Gao, Yanqi Su, Xing Hu, Xin Xia:
Automating TODO-missed Methods Detection and Patching. CoRR abs/2405.06225 (2024) - [i14]Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks? CoRR abs/2405.12641 (2024) - [i13]Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang:
Enhancing Repository-Level Code Generation with Integrated Contextual Information. CoRR abs/2406.03283 (2024) - [i12]Qiheng Mao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia, Jianling Sun:
Towards Effectively Detecting and Explaining Vulnerabilities Using Large Language Models. CoRR abs/2406.09701 (2024) - [i11]Xiao Yu, Lei Liu, Xing Hu, Jacky Wai Keung, Jin Liu, Xin Xia:
Where Are Large Language Models for Code Generation on GitHub? CoRR abs/2406.19544 (2024) - [i10]Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia:
NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations. CoRR abs/2406.19783 (2024) - 2023
- [i9]Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu:
SkCoder: A Sketch-based Approach for Automatic Code Generation. CoRR abs/2302.06144 (2023) - [i8]Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang:
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages. CoRR abs/2308.08836 (2023) - [i7]Jia Allen Li, Yongmin Li, Ge Li, Xing Hu, Xin Xia, Zhi Jin:
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization. CoRR abs/2308.13775 (2023) - [i6]Zhipeng Xue, Zhipeng Gao, Xing Hu, Shanping Li:
ACWRecommender: A Tool for Validating Actionable Warnings with Weak Supervision. CoRR abs/2309.09721 (2023) - [i5]Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li:
PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. CoRR abs/2312.03393 (2023) - [i4]Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang:
Exploiting Library Vulnerability via Migration Based Automating Test Generation. CoRR abs/2312.09564 (2023) - [i3]Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang:
PPT4J: Patch Presence Test for Java Binaries. CoRR abs/2312.11013 (2023) - 2022
- [i2]Jia Li, Zhuo Li, Huangzhao Zhang, Ge Li, Zhi Jin, Xing Hu, Xin Xia:
Poison Attack and Defense on Deep Source Code Processing Models. CoRR abs/2210.17029 (2022) - [i1]Jia Li, Ge Li, Zhuo Li, Zhi Jin, Xing Hu, Kechi Zhang, Zhiyi Fu:
CodeEditor: Learning to Edit Source Code with Pre-trained Models. CoRR abs/2210.17040 (2022)
Coauthor Index
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