Hao Yu

According to our database, Hao Yu authored at least 25 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-Training.

Yuan Cao, Dezhi Ran, Mengzhou Wu, Yuzhe Guo, Xin Chen, Ang Li, Gang Cao, Gong Zhi, Hao Yu, Linyi Li, Wei Yang, Tao Xie

CoRR, February, 2026

Towards Trustworthy LLM-Based Assertion Generation: A Data Augmentation Framework with Formal Check Approach.

Qingchen Zhai, Hao Yu, Chen Bai, Charles Young, Frank Qu, Dezhi Ran, Yuan Xie, Tao Xie

Proceedings of the Design, Automation & Test in Europe Conference, 2026

LiveVerilogEval: Contamination Free and Automatically Scalable Benchmark for Verilog Code Generation.

Charles Young, Hao Yu, Dezhi Ran, Qingchen Zhai, Tianqi Qiu, Frank Qu, Bangyan Wang, Yuan Xie, Tao Xie

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

KernelBand: Boosting LLM-based Kernel Optimization with a Hierarchical and Hardware-aware Multi-armed Bandit.

Dezhi Ran, Shuxiao Xie, Mingfang Ji, Ziyue Hua, Mengzhou Wu, Yuan Cao, Yuzhe Guo, Hao Yu, Linyi Li, Yitao Hu, Tao Xie

CoRR, November, 2025

AppForge: From Assistant to Independent Developer - Are GPTs Ready for Software Development?

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

CoRR, October, 2025

Wenwang: Toward Effectively Generating Code Beyond Standalone Functions via Generative Pre-trained Models.

Hao Yu, Bo Shen, Jiaxin Zhang, Shaoxin Lin, Lin Li, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie

ACM Trans. Softw. Eng. Methodol., September, 2025

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation.

Yibo He, Shuoran Zhao, Jiaming Huang, Yingjie Fu, Hao Yu, Cunjian Huang, Tao Xie

CoRR, July, 2025

DeCon: Detecting Incorrect Assertions via Postconditions Generated by a Large Language Model.

Hao Yu, Tianyu Chen, Jiaming Huang, Zongyang Li, Dezhi Ran, Xinyu Wang, Ying Li, Assaf Marron, David Harel, Yuan Xie, Tao Xie

CoRR, January, 2025

Beyond Pass or Fail: A Multi-dimensional Benchmark for Mobile UI Navigation.

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

CoRR, January, 2025

Automated Proof Generation for Rust Code via Self-Evolution.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

NVMePass: A Lightweight, High-performance and Scalable NVMe Virtualization Architecture with I/O Queues Passthrough.

Yiquan Chen, Zhen Jin, Yijing Wang, Yi Chen, Jiexiong Xu, Hao Yu, Jinlong Chen, Wenhai Lin, Kanghua Fang, Keyao Zhang, Chengkun Wei, Qiang Liu, Yuan Xie, Wenzhi Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

CoderEval.

Hao Yu

Dataset, January, 2024

An Empirical Study on Focal Methods in Deep-Learning-Based Approaches for Assertion Generation.

Yibo He, Jiaming Huang, Hao Yu, Tao Xie

Proc. ACM Softw. Eng., 2024

SWE-bench-java: A GitHub Issue Resolving Benchmark for Java.

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

CoRR, 2024

CodeR: Issue Resolving with Multi-Agent and Task Graphs.

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

CoRR, 2024

InfiCoder-Eval: Systematically Evaluating the Question-Answering Capabilities of Code Large Language Models.

Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang

CoRR, 2024

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models.

Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.

Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

High-performance and Scalable Software-based NVMe Virtualization Mechanism with I/O Queues Passthrough.

Yiquan Chen, Zhen Jin, Yijing Wang, Yi Chen, Hao Yu, Jiexiong Xu, Jinlong Chen, Wenhai Lin, Kanghua Fang, Chengkun Wei, Qiang Liu, Yuan Xie, Wenzhi Chen

CoRR, 2023

UDA-DP: Unsupervised Domain Adaptation for Software Defect Prediction.

Xiaosong Huang, Yifan Wu, Hongyi Liu, Ying Li, Hao Yu, Dadi Guo, Zhonghai Wu

Proceedings of the IEEE International Conference on Software Analysis, 2023

2022

Assessing and Improving an Evaluation Dataset for Detecting Semantic Code Clones via Deep Learning.

Hao Yu, Xing Hu, Ge Li, Ying Li, Qianxiang Wang, Tao Xie

ACM Trans. Softw. Eng. Methodol., 2022

Automated Assertion Generation via Information Retrieval and Its Integration with Deep learning.

Hao Yu, Yiling Lou, Ke Sun, Dezhi Ran, Tao Xie, Dan Hao, Ying Li, Ge Li, Qianxiang Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Mining Event Logic Graph from Open Q&A Site for Automated Program Repair.

Chuanjia Hou, Xiaotong Liu, Hao Yu, Tong Jia, Ying Li

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020

Automatically Generating Descriptive Texts in Logging Statements: How Far Are We?

Xiaotong Liu, Tong Jia, Ying Li, Hao Yu, Yang Yue, Chuanjia Hou

Proceedings of the Programming Languages and Systems - 18th Asian Symposium, 2020

2019

Neural detection of semantic code clones via tree-based convolution.

Hao Yu, Wing Lam, Long Chen, Ge Li, Tao Xie, Qianxiang Wang

Proceedings of the 27th International Conference on Program Comprehension, 2019