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ORCIDZhongxin Liu 0002
Person information
- affiliation (PhD 2021): Zhejiang University, State Key Laboratory of Blockchain and Data Security, Hangzhou, China
Other persons with the same name
- Zhongxin Liu — disambiguation page
- Zhongxin Liu 0001
![[0000-0002-3565-4800]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3565-4800")
— Nankai University, Tianjin Key Laboratory of Interventional Brain-Computer Interface and Intelligent Rehabilitation, Department of Automation, China (and 1 more)
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2020 – today
- 2025
[j10]Li Huang, Weifeng Sun, Meng Yan, Zhongxin Liu, Yan Lei, David Lo:
Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing. ACM Trans. Softw. Eng. Methodol. 34(1): 15:1-15:38 (2025)- [i14]Lishui Fan, Zhongxin Liu, Haoye Wang, Lingfeng Bao, Xin Xia, Shanping Li:
FAIT: Fault-Aware Fine-Tuning for Better Code Generation. CoRR abs/2503.16913 (2025) - [i13]Zhonghao Jiang, Xiaoxue Ren, Meng Yan, Wei Jiang, Yong Li, Zhongxin Liu:
CoSIL: Software Issue Localization via LLM-Driven Code Repository Graph Searching. CoRR abs/2503.22424 (2025) - 2024
- [j9]Fangcheng Qiu, Zhongxin Liu, Xing Hu, Xin Xia, Gang Chen, Xinyu Wang:
Vulnerability Detection via Multiple-Graph-Based Code Representation. IEEE Trans. Software Eng. 50(8): 2178-2199 (2024) - [j8]Weifeng Sun, Zhenting Guo, Meng Yan, Zhongxin Liu, Yan Lei, Hongyu Zhang:
Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning. IEEE Trans. Software Eng. 50(10): 2656-2676 (2024) - [c24]Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun:
JumpCoder: Go Beyond Autoregressive Coder via Online Modification. ACL (1) 2024: 11500-11520 - [c23]Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang:
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. ICSE 2024: 151:1-151:13 - [c22]Hanzhen Lu, Zhongxin Liu:
Improving Retrieval-Augmented Code Comment Generation by Retrieving for Generation. ICSME 2024: 350-362 - [c21]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 - [c20]Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li:
Automating Zero-Shot Patch Porting for Hard Forks. ISSTA 2024: 363-375 - [c19]Dong Li, Meng Yan, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo:
CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding. ISSTA 2024: 1428-1439 - [c18]Tingwei Zhu, Zhongxin Liu, Tongtong Xu, Ze Tang, Tian Zhang, Minxue Pan, Xin Xia:
Exploring and Improving Code Completion for Test Code. ICPC 2024: 137-148 - [c17]Jiawei Lu, Haoye Wang, Zhongxin Liu, Keyu Liang, Lingfeng Bao, Xiaohu Yang:
Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks. ASE 2024: 191-203 - [c16]Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun:
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. ASE 2024: 1693-1705 - [c15]Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng:
Sustainability Forecasting for Deep Learning Packages. SANER 2024: 981-992 - [i12]Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun:
JumpCoder: Go Beyond Autoregressive Coder via Online Modification. CoRR abs/2401.07870 (2024) - [i11]Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang:
Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. CoRR abs/2402.00657 (2024) - [i10]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) - [i9]Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li:
Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR abs/2407.02824 (2024) - [i8]Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun:
B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. CoRR abs/2409.08692 (2024) - [i7]Jiawei Lu, Haoye Wang, Zhongxin Liu, Keyu Liang, Lingfeng Bao, Xiaohu Yang:
Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks. CoRR abs/2410.11300 (2024) - [i6]Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo:
FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models. CoRR abs/2411.10714 (2024) - 2023
- [j7]Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo:
Revisiting the Identification of the Co-evolution of Production and Test Code. ACM Trans. Softw. Eng. Methodol. 32(6): 152:1-152:37 (2023) - [j6]Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li:
Just-In-Time Obsolete Comment Detection and Update. IEEE Trans. Software Eng. 49(1): 1-23 (2023) - [j5]Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao:
Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach. IEEE Trans. Software Eng. 49(4): 1640-1660 (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) - [j3]Weifeng Sun, Meng Yan, Zhongxin Liu, David Lo:
Robust Test Selection for Deep Neural Networks. IEEE Trans. Software Eng. 49(12): 5250-5278 (2023) - [c14]Jiawei Lu, Zhijie Tang, Zhongxin Liu:
Improving Code Refinement for Code Review Via Input Reconstruction and Ensemble Learning. APSEC 2023: 161-170 - [c13]Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang:
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. ICSE 2023: 17-29 - [c12]Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang:
Towards More Realistic Evaluation for Neural Test Oracle Generation. ISSTA 2023: 589-600 - [c11]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 - [c10]Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao:
CCT5: A Code-Change-Oriented Pre-trained Model. ESEC/SIGSOFT FSE 2023: 1509-1521 - [i5]Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang:
CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. CoRR abs/2302.03924 (2023) - [i4]Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao:
CCT5: A Code-Change-Oriented Pre-Trained Model. CoRR abs/2305.10785 (2023) - [i3]Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang:
Towards More Realistic Evaluation for Neural Test Oracle Generation. CoRR abs/2305.17047 (2023) - 2022
- [c9]Qiuyuan Chen, Zezhou Yang, Zhongxin Liu, Shanping Li, Cuiyun Gao:
Parameter Description Generation with the Code Parameter Flow. QRS 2022: 884-895 - [c8]Ying Fu, Meng Yan, Jian Xu, Jianguo Li, Zhongxin Liu, Xiaohong Zhang, Dan Yang:
Investigating and improving log parsing in practice. ESEC/SIGSOFT FSE 2022: 1566-1577 - 2021
- [j2]Zhongxin Liu, Xin Xia, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li:
Which Variables Should I Log? IEEE Trans. Software Eng. 47(9): 2012-2031 (2021) - [c7]Yuxing Hu, Meng Yan, Zhongxin Liu, Qiuyuan Chen, Bei Wang:
Improving Code Summarization Through Automated Quality Assurance. ISSRE 2021: 486-497 - [c6]Bei Wang, Meng Yan, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, Dan Yang:
Quality Assurance for Automated Commit Message Generation. SANER 2021: 260-271 - [c5]Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang:
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. SANER 2021: 458-469 - [i2]Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang:
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. CoRR abs/2104.01032 (2021) - 2020
- [c4]Zhongxin Liu, Xin Xia, Meng Yan, Shanping Li:
Automating Just-In-Time Comment Updating. ASE 2020: 585-597
2010 – 2019
- 2019
- [j1]Zhongxin Liu, Xin Xia, David Lo, John C. Grundy:
Automatic, highly accurate app permission recommendation. Autom. Softw. Eng. 26(2): 241-274 (2019) - [c3]Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li:
Automatic Generation of Pull Request Descriptions. ASE 2019: 176-188 - [i1]Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li:
Automatic Generation of Pull Request Descriptions. CoRR abs/1909.06987 (2019) - 2018
- [c2]Zhongxin Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li:
SATD detector: a text-mining-based self-admitted technical debt detection tool. ICSE (Companion Volume) 2018: 9-12 - [c1]Zhongxin Liu, Xin Xia, Ahmed E. Hassan, David Lo, Zhenchang Xing, Xinyu Wang:
Neural-machine-translation-based commit message generation: how far are we? ASE 2018: 373-384
Coauthor Index
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last updated on 2025-05-06 22:35 CEST by the dblp team
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