Neural detection of semantic code clones via tree-based convolution. - Hao Yu 016; Wing Lam; Long Chen; Ge Li 001; Tao Xie 001; Qianxiang Wang (ICPC, 2019)

Automatically Generating Descriptive Texts in Logging Statements: How Far Are We? - Xiaotong Liu; Tong Jia; Ying Li 012; Hao Yu 016; Yang Yue; Chuanjia Hou (APLAS, 2020)

Mining Event Logic Graph from Open Q&A Site for Automated Program Repair. - Chuanjia Hou; Xiaotong Liu; Hao Yu 016; Tong Jia; Ying Li 012 (QRS Companion, 2021)

Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning. - Hao Yu 016; Yiling Lou; Ke Sun 017; Dezhi Ran; Tao Xie 001; Dan Hao 001; Ying Li 012; Ge Li 001; Qianxiang Wang (ICSE, 2022)

Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning. - Hao Yu 016; Xing Hu 008; Ge Li 001; Ying Li 012; Qianxiang Wang; Tao Xie 001 (ACM Trans. Softw. Eng. Methodol., 2022)

UDA-DP: Unsupervised Domain Adaptation for Software Defect Prediction. - Xiaosong Huang; Yifan Wu 002; Hongyi Liu; Ying Li 012; Hao Yu 016; Dadi Guo; Zhonghai Wu (SANER, 2023)

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. - Hao Yu 016; Bo Shen; Dezhi Ran; Jiaxin Zhang 029; Qi Zhang 020; Yuchi Ma; Guangtai Liang; Ying Li 012; Qianxiang Wang; Tao Xie 001 (ICSE, 2024)

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models. - Linyi Li 001; Shijie Geng; Zhenwen Li; Yibo He; Hao Yu 016; Ziyue Hua; Guanghan Ning; Siwei Wang; Tao Xie 001; Hongxia Yang (NeurIPS, 2024)

InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models. - Linyi Li 001; Shijie Geng; Zhenwen Li; Yibo He; Hao Yu 016; Ziyue Hua; Guanghan Ning; Siwei Wang; Tao Xie 001; Hongxia Yang (CoRR, 2024)

CodeR: Issue Resolving with Multi-Agent and Task Graphs. - Dong Chen 015; Shaoxin Lin; Muhan Zeng; Daoguang Zan; Jian-Gang Wang; Anton Cheshkov; Jun Sun 001; Hao Yu 016; Guoliang Dong; Artem Aliev; Jie Wang; Xiao Cheng; et al. (CoRR, 2024)

SWE-bench-java: A GitHub Issue Resolving Benchmark for Java. - Daoguang Zan; Zhirong Huang; Ailun Yu; Shaoxin Lin; Yifan Shi; Wei Liu 007; Dong Chen 015; Zongshuai Qi; Hao Yu 016; Lei Yu; Dezhi Ran; Muhan Zeng; et al. (CoRR, 2024)

An Empirical Study on Focal Methods in Deep-Learning-Based Approaches for Assertion Generation. - Yibo He; Jiaming Huang; Hao Yu 016; Tao Xie 001 (Proc. ACM Softw. Eng., 2024)

CoderEval. - Hao Yu 016 (Zenodo, 2024)

Automated Proof Generation for Rust Code via Self-Evolution. - Tianyu Chen; Shuai Lu; Shan Lu 001; Yeyun Gong; Chenyuan Yang; Xuheng Li; Md Rakib Hossain Misu; Hao Yu 016; Nan Duan; Peng Cheng 005; Fan Yang 024; Shuvendu K. Lahiri; et al. (ICLR, 2025)

Beyond Pass or Fail: A Multi-dimensional Benchmark for Mobile UI Navigation. - Dezhi Ran; Mengzhou Wu; Hao Yu 016; Yuetong Li; Jun Ren; Yuan Cao; Xia Zeng; Haochuan Lu; Zexin Xu; Mengqian Xu; Ting Su 001; Liangchao Yao; et al. (CoRR, 2025)

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model. - Hao Yu 016; Tianyu Chen; Jiaming Huang; Zongyang Li; Dezhi Ran; Xinyu Wang 006; Ying Li 012; Assaf Marron; David Harel; Yuan Xie; Tao Xie 001 (CoRR, 2025)

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation. - Yibo He; Shuoran Zhao; Jiaming Huang; Yingjie Fu; Hao Yu 016; Cunjian Huang; Tao Xie 001 (CoRR, 2025)

Wenwang: Toward Effectively Generating Code Beyond Standalone Functions via Generative Pre-trained Models. - Hao Yu 016; Bo Shen; Jiaxin Zhang 029; Shaoxin Lin; Lin Li; Guangtai Liang; Ying Li 012; Qianxiang Wang; Tao Xie 001 (ACM Trans. Softw. Eng. Methodol., 2025)