Qihao Zhu

According to our database, Qihao Zhu authored at least 38 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search.

Huajian Xin, Z. Z. Ren, Junxiao Song, Zhihong Shao, Wanjia Zhao, Haocheng Wang, Bo Liu, Liyue Zhang, Xuan Lu, Qiushi Du, Wenjun Gao, Qihao Zhu, Dejian Yang, Zhibin Gou, Z. F. Wu, Fuli Luo, Chong Ruan

CoRR, 2024

An Empirical Study of Unit Test Generation with Large Language Models.

Lin Yang, Chen Yang, Shutao Gao, Weijing Wang, Bo Wang, Qihao Zhu, Xiao Chu, Jianyi Zhou, Guangtai Liang, Qianxiang Wang, Junjie Chen

CoRR, 2024

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

DeepSeek-AI, Qihao Zhu, Daya Guo, Zhihong Shao, Dejian Yang, Peiyi Wang, Runxin Xu, Y. Wu, Yukun Li, Huazuo Gao, Shirong Ma, Wangding Zeng, Xiao Bi, Zihui Gu, Hanwei Xu, Damai Dai, Kai Dong, Liyue Zhang, Yishi Piao, Zhibin Gou, Zhenda Xie, Zhewen Hao, Bingxuan Wang, Junxiao Song, Deli Chen, Xin Xie, Kang Guan, Yuxiang You, Aixin Liu, Qiushi Du, Wenjun Gao, Xuan Lu, Qinyu Chen, Yaohui Wang, Chengqi Deng, Jiashi Li, Chenggang Zhao, Chong Ruan, Fuli Luo, Wenfeng Liang

CoRR, 2024

DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

Huajian Xin, Daya Guo, Zhihong Shao, Zhizhou Ren, Qihao Zhu, Bo Liu, Chong Ruan, Wenda Li, Xiaodan Liang

CoRR, 2024

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

DeepSeek-AI, Aixin Liu, Bei Feng, Bin Wang, Bingxuan Wang, Bo Liu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J. L. Cai, Jian Liang, Jianzhong Guo, Jiaqi Ni, Jiashi Li, Jin Chen, Jingyang Yuan, Junjie Qiu, Junxiao Song, Kai Dong, Kaige Gao, Kang Guan, Lean Wang, Lecong Zhang, Lei Xu, Leyi Xia, Liang Zhao, Liyue Zhang, Meng Li, Miaojun Wang, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingming Li, Ning Tian, Panpan Huang, Peiyi Wang, Peng Zhang, Qihao Zhu, Qinyu Chen, Qiushi Du, R. J. Chen, R. L. Jin, Ruiqi Ge, Ruizhe Pan, Runxin Xu, Ruyi Chen, S. S. Li, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shaoqing Wu, Shengfeng Ye, Shirong Ma, Shiyu Wang, Shuang Zhou, Shuiping Yu, Shunfeng Zhou, Size Zheng, Tao Wang, Tian Pei, Tian Yuan, Tianyu Sun, W. L. Xiao, Wangding Zeng, Wei An, Wen Liu, Wenfeng Liang, Wenjun Gao, Wentao Zhang, X. Q. Li, Xiangyue Jin, Xianzu Wang, Xiao Bi, Xiaodong Liu, Xiaohan Wang, Xiaojin Shen, Xiaokang Chen, Xiaosha Chen, Xiaotao Nie, Xiaowen Sun

CoRR, 2024

Reading Users' Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference.

Qihao Zhu, Leah Chong, Maria Yang, Jianxi Luo

CoRR, 2024

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo

CoRR, 2024

DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence.

Daya Guo, Qihao Zhu, Dejian Yang, Zhenda Xie, Kai Dong, Wentao Zhang, Guanting Chen, Xiao Bi, Y. Wu, Y. K. Li, Fuli Luo, Yingfei Xiong, Wenfeng Liang

CoRR, 2024

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Xiao Bi, Deli Chen, Guanting Chen, Shanhuang Chen, Damai Dai, Chengqi Deng, Honghui Ding, Kai Dong, Qiushi Du, Zhe Fu, Huazuo Gao, Kaige Gao, Wenjun Gao, Ruiqi Ge, Kang Guan, Daya Guo, Jianzhong Guo, Guangbo Hao, Zhewen Hao, Ying He, Wenjie Hu, Panpan Huang, Erhang Li, Guowei Li, Jiashi Li, Yao Li, Y. K. Li, Wenfeng Liang, Fangyun Lin, Alex X. Liu, Bo Liu, Wen Liu, Xiaodong Liu, Xin Liu, Yiyuan Liu, Haoyu Lu, Shanghao Lu, Fuli Luo, Shirong Ma, Xiaotao Nie, Tian Pei, Yishi Piao, Junjie Qiu, Hui Qu, Tongzheng Ren, Zehui Ren, Chong Ruan, Zhangli Sha, Zhihong Shao, Junxiao Song, Xuecheng Su, Jingxiang Sun, Yaofeng Sun, Minghui Tang, Bingxuan Wang, Peiyi Wang, Shiyu Wang, Yaohui Wang, Yongji Wang, Tong Wu, Y. Wu, Xin Xie, Zhenda Xie, Ziwei Xie, Yiliang Xiong, Hanwei Xu, R. X. Xu, Yanhong Xu, Dejian Yang, Yuxiang You, Shuiping Yu, Xingkai Yu, B. Zhang, Haowei Zhang, Lecong Zhang, Liyue Zhang, Mingchuan Zhang, Minghua Zhang, Wentao Zhang, Yichao Zhang, Chenggang Zhao, Yao Zhao, Shangyan Zhou, Shunfeng Zhou, Qihao Zhu, Yuheng Zou

CoRR, 2024

Synthesis-Based Enhancement for GUI Test Case Migration.

Yakun Zhang, Qihao Zhu, Jiwei Yan, Chen Liu, Wenjie Zhang, Yifan Zhao, Dan Hao, Lu Zhang

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

GrammarT5: Grammar-Integrated Pretrained Encoder-Decoder Neural Model for Code.

Qihao Zhu, Qingyuan Liang, Zeyu Sun, Yingfei Xiong, Lu Zhang, Shengyu Cheng

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

Learning-based Widget Matching for Migrating GUI Test Cases.

Yakun Zhang, Wenjie Zhang, Dezhi Ran, Qihao Zhu, Chengfeng Dou, Dan Hao, Tao Xie, Lu Zhang

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

The ET Program Repair Tool for Java.

Yuan-An Xiao, Qihao Zhu, Yingfei Xiong

Proceedings of the IEEE/ACM International Workshop on Automated Program Repair, 2024

Advancing Multi-Modal Beam Prediction with Multipath-Like Data Augmentation and Efficient Fusion Mechanism.

Qihao Zhu, Yu Wang, Wenmei Li, Hao Huang, Jie Yin, Lantu Guo, Yun Lin, Guan Gui

Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2024

2023

CupCleaner: A Data Cleaning Approach for Comment Updating.

Qingyuan Liang, Zeyu Sun, Qihao Zhu, Junhao Hu, Yifan Zhao, Lu Zhang

CoRR, 2023

Toward Artificial Empathy for Human-Centered Design: A Framework.

Qihao Zhu, Jianxi Luo

CoRR, 2023

Merge Conflict Resolution: Classification or Generation?

Jinhao Dong, Qihao Zhu, Zeyu Sun, Yiling Lou, Dan Hao

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

A Probabilistic Delta Debugging Approach for Abstract Syntax Trees.

Guancheng Wang, Yiqian Wu, Qihao Zhu, Yingfei Xiong, Xin Zhang, Lu Zhang

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Tare: Type-Aware Neural Program Repair.

Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers.

Qihao Zhu, Xinyu Zhang, Jianxi Luo

CoRR, 2022

Generative Transformers for Design Concept Generation.

Qihao Zhu, Jianxi Luo

CoRR, 2022

Generative Pre-Trained Transformers for Biologically Inspired Design.

Qihao Zhu, Xinyu Zhang, Jianxi Luo

CoRR, 2022

Generative Design Ideation: A Natural Language Generation Approach.

Qihao Zhu, Jianxi Luo

CoRR, 2022

Learning to Construct Better Mutation Faults.

Zhao Tian, Junjie Chen, Qihao Zhu, Junjie Yang, Lingming Zhang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Grape: Grammar-Preserving Rule Embedding.

Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Lyra: A Benchmark for Turducken-Style Code Generation.

Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation.

Jinhao Dong, Yiling Lou, Qihao Zhu, Zeyu Sun, Zhilin Li, Wenjie Zhang, Dan Hao

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

Generalized Equivariance and Preferential Labeling for GNN Node Classification.

Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Generative Pre-Trained Transformer for Design Concept Generation: An Exploration.

Qihao Zhu, Jianxi Luo

CoRR, 2021

Syntax Guided Neural Program Repair.

Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, Lu Zhang

CoRR, 2021

Dynamic Labeling for Unlabeled Graph Neural Networks.

Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang

CoRR, 2021

A syntax-guided edit decoder for neural program repair.

Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, Lu Zhang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Boosting coverage-based fault localization via graph-based representation learning.

Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao, Lu Zhang, Lingming Zhang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020

OCoR: An Overlapping-Aware Code Retriever.

Qihao Zhu, Zeyu Sun, Xiran Liang, Yingfei Xiong, Lu Zhang

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

NLocalSAT: Boosting Local Search with Solution Prediction.

Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

TreeGen: A Tree-Based Transformer Architecture for Code Generation.

Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Grammar-Based Structural CNN Decoder for Code Generation.

Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2015

MDP and Machine Learning-Based Cost-Optimization of Dynamic Resource Allocation for Network Function Virtualization.

Runyu Shi, Jia Zhang, Wenjing Chu, Qihao Bao, Xiatao Jin, Chenran Gong, Qihao Zhu, Chang Yu, Steven Rosenberg

Proceedings of the 2015 IEEE International Conference on Services Computing, 2015