Zhongxin Liu - RankMe

87 papers A* 14A 9C 3Journal 55Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation. IEEE Trans. Software Eng. Yueheng Zhu, Chao Liu, Xuan He, Xiaoxue Ren, Zhongxin Liu, Ruwei Pan, Hongyu Zhang
2026	J	`jnl`	Balancing Latency and Accuracy of Code Completion via Local-Cloud Model Cascading. CoRR Hanzhen Lu, Lishui Fan, Jiachi Chen, Qiuyuan Chen, Zhao Wei, Zhongxin Liu
2026	J	`jnl`	Can test cases generated by large language models facilitate automated program repair? Empir. Softw. Eng. Chengming Zhang, Haoye Wang, Chuyang Xu, Jiakun Liu, Kui Liu, Zhongxin Liu
2026	J	`jnl`	ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution Reasoning. CoRR Lingxiao Tang, He Ye, Zhaoyang Chu, Muyang Ye, Zhongxin Liu, Xiaoxue Ren, Lingfeng Bao
2026	J	`jnl`	Forecasting Developer Environments with GenAI: A Research Perspective. CoRR Raula Gaikovina Kula, Christoph Treude, Xing Hu, Sebastian Baltes, Earl T. Barr, Kelly Blincoe, Fabio Calefato, Junjie Chen, Marc Cheong, Youmei Fan, Daniel M. Germán, Marco Aurélio Gerosa, Jin L. C. Guo, Shinpei Hayashi, Robert Hirschfeld, Reid Holmes, Yintong Huo, Takashi Kobayashi, Michele Lanza, Zhongxin Liu, Olivier Nourry, Nicole Novielli, Denys Poshyvanyk, Shinobu Saito, Kazumasa Shimari, Igor Steinmacher, Mairieli Wessel, Markus Wagner, Annie Vella, Laurie Williams, Xin Xia
2026	A*	`conf`	Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation. AAAI Shen Li, Li Huang, Shaoxiong Zhan, Weifeng Sun, Tao Yin, Zhongxin Liu, Meng Yan
2026	J	`jnl`	RLV: LLM-based vulnerability detection by retrieving and refining contextual information. J. Syst. Softw. Fangcheng Qiu, Zhongxin Liu, Bingde Hu, Zhengong Cai, Lingfeng Bao, Xinyu Wang
2026	J	`jnl`	Steer Your Model: Secure Code Generation With Contrastive Decoding. IEEE Trans. Software Eng. Li Huang, Meng Yan, Tao Yin, Weifeng Sun, Zhongxin Liu, Hongyu Zhang, David Lo
2025	J	`jnl`	AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation. CoRR Yueheng Zhu, Chao Liu, Xuan He, Xiaoxue Ren, Zhongxin Liu, Ruwei Pan, Hongyu Zhang
2025	J	`jnl`	Agentic Software Issue Resolution with Large Language Models: A Survey. CoRR Zhonghao Jiang, David Lo, Zhongxin Liu
2025	J	`jnl`	Are "Solved Issues" in SWE-bench Really Solved Correctly? An Empirical Study. CoRR You Wang, Michael Pradel, Zhongxin Liu
2025	J	`jnl`	CoSIL: Software Issue Localization via LLM-Driven Code Repository Graph Searching. CoRR Zhonghao Jiang, Xiaoxue Ren, Meng Yan, Wei Jiang, Yong Li, Zhongxin Liu
2025	J	`jnl`	CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning. CoRR Lingxiao Tang, He Ye, Zhongxin Liu, Xiaoxue Ren, Lingfeng Bao
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`	Exploring the Capabilities of LLMs for Code-Change-Related Tasks. ACM Trans. Softw. Eng. Methodol. Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li
2025	J	`jnl`	FAIT: Fault-Aware Fine-Tuning for Better Code Generation. CoRR Lishui Fan, Zhongxin Liu, Haoye Wang, Lingfeng Bao, Xin Xia, Shanping Li
2025	A*	`conf`	FGit: Fault-Guided Fine-Tuning for Code Generation. ASE Lishui Fan, Zhongxin Liu, Haoye Wang, Lingfeng Bao, Xin Xia, Shanping Li
2025	J	`jnl`	FlexFL: Flexible and Effective Fault Localization With Open-Source Large Language Models. IEEE Trans. Software Eng. Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo
2025	J	`jnl`	Improving Co-Decoding Based Security Hardening of Code LLMs Leveraging Knowledge Distillation. IEEE Trans. Software Eng. Dong Li, Shanfu Shu, Meng Yan, Zhongxin Liu, Chao Liu, Xiaohong Zhang, David Lo
2025	J	`jnl`	Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation. CoRR Shen Li, Li Huang, Shaoxiong Zhan, Weifeng Sun, Tao Yin, Zhongxin Liu, Meng Yan
2025	A*	`conf`	Issue Localization via LLM-Driven Iterative Code Graph Searching. ASE Zhonghao Jiang, Xiaoxue Ren, Meng Yan, Wei Jiang, Yong Li, Zhongxin Liu
2025	J	`jnl`	LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models. CoRR Lingxiao Tang, Jiakun Liu, Zhongxin Liu, Xiaohu Yang, Lingfeng Bao
2025	J	`jnl`	LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models. Proc. ACM Softw. Eng. Lingxiao Tang, Jiakun Liu, Zhongxin Liu, Xiaohu Yang, Lingfeng Bao
2025	J	`jnl`	MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation. CoRR Zhongzhen Wen, Yinghui Zhang, Zhong Li, Zhongxin Liu, Linna Xie, Tian Zhang
2025	J	`jnl`	Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing. ACM Trans. Softw. Eng. Methodol. Li Huang, Weifeng Sun, Meng Yan, Zhongxin Liu, Yan Lei, David Lo
2025	J	`jnl`	NoCode-bench: A Benchmark for Evaluating Natural Language-Driven Feature Addition. CoRR Le Deng, Zhonghao Jiang, Jialun Cao, Michael Pradel, Zhongxin Liu
2025	A*	`conf`	PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing. ASE Xiaoxue Ren, Jun Wan, Yun Peng, Zhongxin Liu, Ming Liang, Dajun Chen, Wei Jiang, Yong Li
2025	J	`jnl`	PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing. CoRR Xiaoxue Ren, Jun Wan, Yun Peng, Zhongxin Liu, Ming Liang, Dajun Chen, Wei Jiang, Yong Li
2025	J	`jnl`	Parallel Scaling Law for Language Models. CoRR Mouxiang Chen, Binyuan Hui, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Jianling Sun, Junyang Lin, Zhongxin Liu
2025	J	`jnl`	Posterior-GRPO: Rewarding Reasoning Processes in Code Generation. CoRR Lishui Fan, Yu Zhang, Mouxiang Chen, Zhongxin Liu
2025	—	`conf`	SEK: Self-Explained Keywords Empower Large Language Models for Code Generation. ACL (Findings) Lishui Fan, Mouxiang Chen, Zhongxin Liu
2025	C	`conf`	SQLWizard: A Tool for Robust Text-to-SQL via Intelligent Selection and Fine-Grained Refinement. APSEC Keyu Liang, Chao Xiang, Zhifan Ye, Zhongxin Liu, Haoye Wang, Hao Guo, Youju Chen
2025	A*	`conf`	SolContractEval: A Benchmark for Evaluating Contract-Level Solidity Code Generation. ASE Zhifan Ye, Jiachi Chen, Zhenzhe Shao, Lingfeng Bao, Xiaohu Yang, Zhongxin Liu
2025	J	`jnl`	SolContractEval: A Benchmark for Evaluating Contract-Level Solidity Code Generation. CoRR Zhifan Ye, Jiachi Chen, Zhenzhe Shao, Lingfeng Bao, Xiaohu Yang, Zhongxin Liu
2025	J	`jnl`	UniCoR: Modality Collaboration for Robust Cross-Language Hybrid Code Retrieval. CoRR Yang Yang, Li Kuang, Jiakun Liu, Zhongxin Liu, Yingjie Xia, David Lo
2025	A*	`conf`	Unit Test Update through LLM-Driven Context Collection and Error-Type-Aware Refinement. ASE Yuanhe Zhang, Zhiquan Yang, Shengyi Pan, Zhongxin Liu
2025	J	`jnl`	Unit Test Update through LLM-Driven Context Collection and Error-Type-Aware Refinement. CoRR Yuanhe Zhang, Zhiquan Yang, Shengyi Pan, Zhongxin Liu
2025	J	`jnl`	Zero-Shot Cross-Domain Code Search without Fine-Tuning. CoRR Keyu Liang, Zhongxin Liu, Chao Liu, Zhiyuan Wan, David Lo, Xiaohu Yang
2025	J	`jnl`	Zero-Shot Cross-Domain Code Search without Fine-Tuning. Proc. ACM Softw. Eng. Keyu Liang, Zhongxin Liu, Chao Liu, Zhiyuan Wan, David Lo, Xiaohu Yang
2024	A	`conf`	Automating Zero-Shot Patch Porting for Hard Forks. ISSTA Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li
2024	J	`jnl`	Automating Zero-Shot Patch Porting for Hard Forks. CoRR Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li
2024	A*	`conf`	B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. ASE Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun
2024	J	`jnl`	B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests. CoRR Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun
2024	A	`conf`	CoSec: On-the-Fly Security Hardening of Code LLMs via Supervised Co-decoding. ISSTA Dong Li, Meng Yan, Yaosheng Zhang, Zhongxin Liu, Chao Liu, Xiaohong Zhang, Ting Chen, David Lo
2024	A	`conf`	Exploring and Improving Code Completion for Test Code. ICPC Tingwei Zhu, Zhongxin Liu, Tongtong Xu, Ze Tang, Tian Zhang, Minxue Pan, Xin Xia
2024	J	`jnl`	Exploring the Capabilities of LLMs for Code Change Related Tasks. CoRR Lishui Fan, Jiakun Liu, Zhongxin Liu, David Lo, Xin Xia, Shanping Li
2024	J	`jnl`	FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models. CoRR Chuyang Xu, Zhongxin Liu, Xiaoxue Ren, Gehao Zhang, Ming Liang, David Lo
2024	A	`conf`	Improving Retrieval-Augmented Code Comment Generation by Retrieving for Generation. ICSME Hanzhen Lu, Zhongxin Liu
2024	J	`jnl`	Improving Retrieval-Augmented Code Comment Generation by Retrieving for Generation. CoRR Hanzhen Lu, Zhongxin Liu
2024	—	`conf`	Inside Bug Report Templates: An Empirical Study on Bug Report Templates in Open-Source Software. Internetware Junwei Zhang, Zhongxin Liu, Lingfeng Bao, Zhenchang Xing, Xing Hu, Xin Xia
2024	A*	`conf`	Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks. ASE Jiawei Lu, Haoye Wang, Zhongxin Liu, Keyu Liang, Lingfeng Bao, Xiaohu Yang
2024	J	`jnl`	Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks. CoRR Jiawei Lu, Haoye Wang, Zhongxin Liu, Keyu Liang, Lingfeng Bao, Xiaohu Yang
2024	—	`conf`	JumpCoder: Go Beyond Autoregressive Coder via Online Modification. ACL (1) Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun
2024	J	`jnl`	JumpCoder: Go Beyond Autoregressive Coder via Online Modification. CoRR Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun
2024	J	`jnl`	Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning. IEEE Trans. Software Eng. Weifeng Sun, Zhenting Guo, Meng Yan, Zhongxin Liu, Yan Lei, Hongyu Zhang
2024	A*	`conf`	Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. ICSE Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang
2024	J	`jnl`	Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks. CoRR Zhongxin Liu, Zhijie Tang, Junwei Zhang, Xin Xia, Xiaohu Yang
2024	J	`jnl`	Self-Explained Keywords Empower Large Language Models for Code Generation. CoRR Lishui Fan, Mouxiang Chen, Zhongxin Liu
2024	A	`conf`	Sustainability Forecasting for Deep Learning Packages. SANER Junxiao Han, Yunkun Wang, Zhongxin Liu, Lingfeng Bao, Jiakun Liu, David Lo, Shuiguang Deng
2024	J	`jnl`	Vulnerability Detection via Multiple-Graph-Based Code Representation. IEEE Trans. Software Eng. Fangcheng Qiu, Zhongxin Liu, Xing Hu, Xin Xia, Gang Chen, Xinyu Wang
2023	A*	`conf`	CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. ICSE Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang
2023	J	`jnl`	CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query Back. CoRR Zhongxin Liu, Zhijie Tang, Xin Xia, Xiaohu Yang
2023	J	`jnl`	CCT5: A Code-Change-Oriented Pre-Trained Model. CoRR Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao
2023	—	`conf`	CCT5: A Code-Change-Oriented Pre-trained Model. ESEC/SIGSOFT FSE Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao
2023	A*	`conf`	Identify and Update Test Cases When Production Code Changes: A Transformer-Based Approach. ASE Xing Hu, Zhuang Liu, Xin Xia, Zhongxin Liu, Tongtong Xu, Xiaohu Yang
2023	C	`conf`	Improving Code Refinement for Code Review Via Input Reconstruction and Ensemble Learning. APSEC Jiawei Lu, Zhijie Tang, Zhongxin Liu
2023	J	`jnl`	Just-In-Time Obsolete Comment Detection and Update. IEEE Trans. Software Eng. Zhongxin Liu, Xin Xia, David Lo, Meng Yan, Shanping Li
2023	J	`jnl`	Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach. IEEE Trans. Software Eng. Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao
2023	J	`jnl`	Revisiting the Identification of the Co-evolution of Production and Test Code. ACM Trans. Softw. Eng. Methodol. Weifeng Sun, Meng Yan, Zhongxin Liu, Xin Xia, Yan Lei, David Lo
2023	J	`jnl`	Robust Test Selection for Deep Neural Networks. IEEE Trans. Software Eng. Weifeng Sun, Meng Yan, Zhongxin Liu, David Lo
2023	A	`conf`	Towards More Realistic Evaluation for Neural Test Oracle Generation. ISSTA Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang
2023	J	`jnl`	Towards More Realistic Evaluation for Neural Test Oracle Generation. CoRR Zhongxin Liu, Kui Liu, Xin Xia, Xiaohu Yang
2023	J	`jnl`	Vulnerability Detection by Learning From Syntax-Based Execution Paths of Code. IEEE Trans. Software Eng. Junwei Zhang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li
2022	—	`conf`	Investigating and improving log parsing in practice. ESEC/SIGSOFT FSE Ying Fu, Meng Yan, Jian Xu, Jianguo Li, Zhongxin Liu, Xiaohong Zhang, Dan Yang
2022	C	`conf`	Parameter Description Generation with the Code Parameter Flow. QRS Qiuyuan Chen, Zezhou Yang, Zhongxin Liu, Shanping Li, Cuiyun Gao
2021	A	`conf`	Improving Code Summarization Through Automated Quality Assurance. ISSRE Yuxing Hu, Meng Yan, Zhongxin Liu, Qiuyuan Chen, Bei Wang
2021	A	`conf`	Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. SANER Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang
2021	J	`jnl`	Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network. CoRR Zeyu Wang, Sheng Huang, Zhongxin Liu, Meng Yan, Xin Xia, Bei Wang, Dan Yang
2021	A	`conf`	Quality Assurance for Automated Commit Message Generation. SANER Bei Wang, Meng Yan, Zhongxin Liu, Ling Xu, Xin Xia, Xiaohong Zhang, Dan Yang
2021	J	`jnl`	Which Variables Should I Log? IEEE Trans. Software Eng. Zhongxin Liu, Xin Xia, David Lo, Zhenchang Xing, Ahmed E. Hassan, Shanping Li
2020	A*	`conf`	Automating Just-In-Time Comment Updating. ASE Zhongxin Liu, Xin Xia, Meng Yan, Shanping Li
2019	A*	`conf`	Automatic Generation of Pull Request Descriptions. ASE Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li
2019	J	`jnl`	Automatic Generation of Pull Request Descriptions. CoRR Zhongxin Liu, Xin Xia, Christoph Treude, David Lo, Shanping Li
2019	J	`jnl`	Automatic, highly accurate app permission recommendation. Autom. Softw. Eng. Zhongxin Liu, Xin Xia, David Lo, John C. Grundy
2018	A*	`conf`	Neural-machine-translation-based commit message generation: how far are we? ASE Zhongxin Liu, Xin Xia, Ahmed E. Hassan, David Lo, Zhenchang Xing, Xinyu Wang
2018	—	`conf`	SATD detector: a text-mining-based self-admitted technical debt detection tool. ICSE (Companion Volume) Zhongxin Liu, Qiao Huang, Xin Xia, Emad Shihab, David Lo, Shanping Li