Zhenhao Li

34 papers A* 7A 2Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations.
ACM Trans. Softw. Eng. Methodol.
Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia
2025 J jnl
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities.
CoRR
Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia
2025 J jnl
An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities.
ACM Trans. Softw. Eng. Methodol.
Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia
2025 A conf
Benchmarking Open-Source Large Language Models for Log Level Suggestion.
ICST
Yi Wen Heng, Zeyang Ma, Zhenhao Li, Dong Jae Kim, Tse-Hsun Chen
2025 J jnl
Evaluating Software Process Models for Multi-Agent Class-Level Code Generation.
CoRR
Wasique Islam Shafin, Md Nakhla Rafi, Zhenhao Li, Tse-Hsun Chen
2025 — conf
LTB25: 13th International Workshop on Load Testing and Benchmarking of Software Systems.
ICPE (Companion)
Stephen Fan, Lizhi Liao, Zhenhao Li
2025 A* conf
Reasoning Runtime Behavior of a Program with LLM: How Far are We?
ICSE
Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia
2025 J jnl
RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation.
CoRR
Feng Lin, Dong Jae Kim, Zhenhao Li, Jinqiu Yang, Tse-Hsun (Peter) Chen
2025 J jnl
SecureAgentBench: Benchmarking Secure Code Generation under Realistic Vulnerability Scenarios.
CoRR
Junkai Chen, Huihui Huang, Yunbo Lyu, Junwen An, Jieke Shi, Chengran Yang, Ting Zhang, Haoye Tian, Yikun Li, Zhenhao Li, Xin Zhou, Xing Hu, David Lo
2025 J jnl
Towards Explainable Vulnerability Detection With Large Language Models.
IEEE Trans. Software Eng.
Qiheng Mao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia, Jianling Sun
2025 J jnl
Understanding Practitioners' Expectations on Clear Code Review Comments.
Proc. ACM Softw. Eng.
Junkai Chen, Zhenhao Li, Qiheng Mao, Xing Hu, Kui Liu, Xin Xia
2024 J jnl
A Survey on Modern Code Review: Progresses, Challenges and Opportunities.
CoRR
Zezhou Yang, Cuiyun Gao, Zhaoqiang Guo, Zhenhao Li, Kui Liu, Xin Xia, Yuming Zhou
2024 A* conf
Code Search is All You Need? Improving Code Suggestions with Code Search.
ICSE
Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo
2024 J jnl
Discovery of Timeline and Crowd Reaction of Software Vulnerability Disclosures.
CoRR
Yi Wen Heng, Zeyang Ma, Haoxiang Zhang, Zhenhao Li, Tse-Hsun Chen
2024 J jnl
Evaluating Large Language Models with Runtime Behavior of Program Execution.
CoRR
Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia
2024 J jnl
NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations.
CoRR
Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia
2024 J jnl
Studying Practitioners' Expectations on Clear Code Review Comments.
CoRR
Zhenhao Li, Junkai Chen, Qiheng Mao, Xing Hu, Kui Liu, Xin Xia
2024 J jnl
Studying and Benchmarking Large Language Models For Log Level Suggestion.
CoRR
Yi Wen Heng, Zeyang Ma, Zhenhao Li, Dong Jae Kim, Tse-Hsun Chen
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
Towards Effectively Detecting and Explaining Vulnerabilities Using Large Language Models.
CoRR
Qiheng Mao, Zhenhao Li, Xing Hu, Kui Liu, Xin Xia, Jianling Sun
2023 A* conf
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages.
ASE
Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang
2023 J jnl
Are They All Good? Studying Practitioners' Expectations on the Readability of Log Messages.
CoRR
Zhenhao Li, An Ran Chen, Xing Hu, Xin Xia, Tse-Hsun Chen, Weiyi Shang
2023 J jnl
Deep Learning Based Code Generation Methods: A Literature Review.
CoRR
Zezhou Yang, Sirong Chen, Cuiyun Gao, Zhenhao Li, Ge Li, Rongcong Lv
2023 A* conf
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction.
ICSE
Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang
2023 J jnl
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction.
CoRR
Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang
2022 J jnl
Studying Duplicate Logging Statements and Their Relationships With Code Clones.
IEEE Trans. Software Eng.
Zhenhao Li, Tse-Hsun Chen, Jinqiu Yang, Weiyi Shang
2021 A* conf
DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks.
ICSE
Zhenhao Li, Heng Li, Tse-Hsun Peter Chen, Weiyi Shang
2021 J jnl
Studying Duplicate Logging Statements and Their Relationships with Code Clones.
CoRR
Zhenhao Li, Tse-Hsun Chen, Jinqiu Yang, Weiyi Shang
2020 — conf
Studying and suggesting logging locations in code blocks.
ICSE (Companion Volume)
Zhenhao Li
2020 — conf
Towards providing automated supports to developers on writing logging statements.
ICSE (Companion Volume)
Zhenhao Li
2020 A* conf
Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks.
ASE
Zhenhao Li, Tse-Hsun Chen, Weiyi Shang
2019 — conf
Characterizing and detecting duplicate logging code smells.
ICSE (Companion Volume)
Zhenhao Li
2019 A* conf
Dlfinder: characterizing and detecting duplicate logging code smells.
ICSE
Zhenhao Li, Tse-Hsun (Peter) Chen, Jinqiu Yang, Weiyi Shang