Hao Yu

22 papers A* 4A 2B 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training.
CoRR
Yuan Cao, Dezhi Ran, Mengzhou Wu, Yuzhe Guo, Xin Chen, Ang Li, Gang Cao, Gong Zhi, Hao Yu, Linyi Li, Wei Yang, Tao Xie
2025 J jnl
AppForge: From Assistant to Independent Developer - Are GPTs Ready for Software Development?
CoRR
Dezhi Ran, Yuan Cao, Mengzhou Wu, Simin Chen, Yuzhe Guo, Jun Ren, Zihe Song, Hao Yu, Jialei Wei, Linyi Li, Wei Yang, Baishakhi Ray, Tao Xie
2025 A* conf
Automated Proof Generation for Rust Code via Self-Evolution.
ICLR
Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu K. Lahiri, Tao Xie, Lidong Zhou
2025 J jnl
Beyond Pass or Fail: A Multi-dimensional Benchmark for Mobile UI Navigation.
CoRR
Dezhi Ran, Mengzhou Wu, Hao Yu, Yuetong Li, Jun Ren, Yuan Cao, Xia Zeng, Haochuan Lu, Zexin Xu, Mengqian Xu, Ting Su, Liangchao Yao, Ting Xiong, Wei Yang, Yuetang Deng, Assaf Marron, David Harel, Tao Xie
2025 J jnl
DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model.
CoRR
Hao Yu, Tianyu Chen, Jiaming Huang, Zongyang Li, Dezhi Ran, Xinyu Wang, Ying Li, Assaf Marron, David Harel, Yuan Xie, Tao Xie
2025 J jnl
KernelBand: Boosting LLM-based Kernel Optimization with a Hierarchical and Hardware-aware Multi-armed Bandit.
CoRR
Dezhi Ran, Shuxiao Xie, Mingfang Ji, Ziyue Hua, Mengzhou Wu, Yuan Cao, Yuzhe Guo, Hao Yu, Linyi Li, Yitao Hu, Tao Xie
2025 J jnl
SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation.
CoRR
Yibo He, Shuoran Zhao, Jiaming Huang, Yingjie Fu, Hao Yu, Cunjian Huang, Tao Xie
2025 J jnl
Wenwang: Toward Effectively Generating Code Beyond Standalone Functions via Generative Pre-trained Models.
ACM Trans. Softw. Eng. Methodol.
Hao Yu, Bo Shen, Jiaxin Zhang, Shaoxin Lin, Lin Li, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie
2024 J jnl
An Empirical Study on Focal Methods in Deep-Learning-Based Approaches for Assertion Generation.
Proc. ACM Softw. Eng.
Yibo He, Jiaming Huang, Hao Yu, Tao Xie
2024 J jnl
Automated Proof Generation for Rust Code via Self-Evolution.
CoRR
Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu K. Lahiri, Tao Xie, Lidong Zhou
2024 J jnl
CodeR: Issue Resolving with Multi-Agent and Task Graphs.
CoRR
Dong Chen, Shaoxin Lin, Muhan Zeng, Daoguang Zan, Jian-Gang Wang, Anton Cheshkov, Jun Sun, Hao Yu, Guoliang Dong, Artem Aliev, Jie Wang, Xiao Cheng, Guangtai Liang, Yuchi Ma, Pan Bian, Tao Xie, Qianxiang Wang
2024 A* conf
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.
ICSE
Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie
2024 A* conf
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models.
NeurIPS
Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang
2024 J jnl
InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models.
CoRR
Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang
2024 J jnl
SWE-bench-java: A GitHub Issue Resolving Benchmark for Java.
CoRR
Daoguang Zan, Zhirong Huang, Ailun Yu, Shaoxin Lin, Yifan Shi, Wei Liu, Dong Chen, Zongshuai Qi, Hao Yu, Lei Yu, Dezhi Ran, Muhan Zeng, Bo Shen, Pan Bian, Guangtai Liang, Bei Guan, Pengjie Huang, Tao Xie, Yongji Wang, Qianxiang Wang
2023 J jnl
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.
CoRR
Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Tao Xie, Qianxiang Wang
2023 A conf
UDA-DP: Unsupervised Domain Adaptation for Software Defect Prediction.
SANER
Xiaosong Huang, Yifan Wu, Hongyi Liu, Ying Li, Hao Yu, Dadi Guo, Zhonghai Wu
2022 J jnl
Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning.
ACM Trans. Softw. Eng. Methodol.
Hao Yu, Xing Hu, Ge Li, Ying Li, Qianxiang Wang, Tao Xie
2022 A* conf
Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning.
ICSE
Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang
2021 — conf
Mining Event Logic Graph from Open Q&A Site for Automated Program Repair.
QRS Companion
Chuanjia Hou, Xiaotong Liu, Hao Yu, Tong Jia, Ying Li
2020 B conf
Automatically Generating Descriptive Texts in Logging Statements: How Far Are We?
APLAS
Xiaotong Liu, Tong Jia, Ying Li, Hao Yu, Yang Yue, Chuanjia Hou
2019 A conf
Neural detection of semantic code clones via tree-based convolution.
ICPC
Hao Yu, Wing Lam, Long Chen, Ge Li, Tao Xie, Qianxiang Wang