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2020 – today
- 2024
[c21]Qihao Zhu
, Yu Wang, Wenmei Li, Hao Huang, Jie Yin, Lantu Guo, Yun Lin, Guan Gui:
Advancing Multi-Modal Beam Prediction with Multipath-Like Data Augmentation and Efficient Fusion Mechanism. FAIML 2024: 74-79- [c20]Yakun Zhang, Wenjie Zhang, Dezhi Ran, Qihao Zhu, Chengfeng Dou, Dan Hao, Tao Xie, Lu Zhang:
Learning-based Widget Matching for Migrating GUI Test Cases. ICSE 2024: 69:1-69:13 - [c19]Qihao Zhu, Qingyuan Liang, Zeyu Sun, Yingfei Xiong, Lu Zhang, Shengyu Cheng:
GrammarT5: Grammar-Integrated Pretrained Encoder-Decoder Neural Model for Code. ICSE 2024: 76:1-76:13 - [c18]Yuan-An Xiao, Qihao Zhu, Yingfei Xiong:
The ET Program Repair Tool for Java. APR 2024: 61-63 - [c17]Yakun Zhang, Qihao Zhu, Jiwei Yan, Chen Liu, Wenjie Zhang, Yifan Zhao, Dan Hao, Lu Zhang:
Synthesis-Based Enhancement for GUI Test Case Migration. ISSTA 2024: 869-881 - [c16]Lin Yang, Chen Yang, Shutao Gao, Weijing Wang, Bo Wang, Qihao Zhu, Xiao Chu, Jianyi Zhou, Guangtai Liang, Qianxiang Wang, Junjie Chen:
On the Evaluation of Large Language Models in Unit Test Generation. ASE 2024: 1607-1619 - [i23]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:
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism. CoRR abs/2401.02954 (2024) - [i22]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:
DeepSeek-Coder: When the Large Language Model Meets Programming - The Rise of Code Intelligence. CoRR abs/2401.14196 (2024) - [i21]Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Mingchuan Zhang, Y. K. Li, Y. Wu, Daya Guo:
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models. CoRR abs/2402.03300 (2024) - [i20]Qihao Zhu, Leah Chong, Maria Yang, Jianxi Luo:
Reading Users' Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference. CoRR abs/2403.13301 (2024) - [i19]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:
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model. CoRR abs/2405.04434 (2024) - [i18]Huajian Xin, Daya Guo, Zhihong Shao, Zhizhou Ren, Qihao Zhu, Bo Liu, Chong Ruan, Wenda Li, Xiaodan Liang:
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data. CoRR abs/2405.14333 (2024) - [i17]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:
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence. CoRR abs/2406.11931 (2024) - [i16]Lin Yang, Chen Yang, Shutao Gao, Weijing Wang, Bo Wang, Qihao Zhu, Xiao Chu, Jianyi Zhou, Guangtai Liang, Qianxiang Wang, Junjie Chen:
An Empirical Study of Unit Test Generation with Large Language Models. CoRR abs/2406.18181 (2024) - [i15]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:
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search. CoRR abs/2408.08152 (2024) - 2023
- [c15]Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang:
Tare: Type-Aware Neural Program Repair. ICSE 2023: 1443-1455 - [c14]Guancheng Wang, Yiqian Wu, Qihao Zhu, Yingfei Xiong, Xin Zhang, Lu Zhang:
A Probabilistic Delta Debugging Approach for Abstract Syntax Trees. ISSRE 2023: 763-773 - [c13]Jinhao Dong, Qihao Zhu, Zeyu Sun, Yiling Lou, Dan Hao:
Merge Conflict Resolution: Classification or Generation? ASE 2023: 1652-1663 - [i14]Qihao Zhu, Jianxi Luo:
Toward Artificial Empathy for Human-Centered Design: A Framework. CoRR abs/2303.10583 (2023) - [i13]Qingyuan Liang, Zeyu Sun, Qihao Zhu, Junhao Hu, Yifan Zhao, Lu Zhang:
CupCleaner: A Data Cleaning Approach for Comment Updating. CoRR abs/2308.06898 (2023) - 2022
- [c12]Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang:
Generalized Equivariance and Preferential Labeling for GNN Node Classification. AAAI 2022: 8395-8403 - [c11]Jinhao Dong, Yiling Lou, Qihao Zhu, Zeyu Sun, Zhilin Li, Wenjie Zhang, Dan Hao:
FIRA: Fine-Grained Graph-Based Code Change Representation for Automated Commit Message Generation. ICSE 2022: 970-981 - [c10]Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang:
Lyra: A Benchmark for Turducken-Style Code Generation. IJCAI 2022: 4238-4244 - [c9]Qihao Zhu, Zeyu Sun, Wenjie Zhang, Yingfei Xiong, Lu Zhang:
Grape: Grammar-Preserving Rule Embedding. IJCAI 2022: 4545-4551 - [c8]Zhao Tian, Junjie Chen, Qihao Zhu, Junjie Yang, Lingming Zhang:
Learning to Construct Better Mutation Faults. ASE 2022: 64:1-64:13 - [i12]Qihao Zhu, Jianxi Luo:
Generative Design Ideation: A Natural Language Generation Approach. CoRR abs/2204.09658 (2022) - [i11]Qihao Zhu, Xinyu Zhang, Jianxi Luo:
Generative Pre-Trained Transformers for Biologically Inspired Design. CoRR abs/2204.09714 (2022) - [i10]Qihao Zhu, Jianxi Luo:
Generative Transformers for Design Concept Generation. CoRR abs/2211.03468 (2022) - [i9]Qihao Zhu, Xinyu Zhang, Jianxi Luo:
Biologically Inspired Design Concept Generation Using Generative Pre-Trained Transformers. CoRR abs/2212.13196 (2022) - 2021
- [c7]Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, Lu Zhang:
A syntax-guided edit decoder for neural program repair. ESEC/SIGSOFT FSE 2021: 341-353 - [c6]Yiling Lou, Qihao Zhu, Jinhao Dong, Xia Li, Zeyu Sun, Dan Hao, Lu Zhang, Lingming Zhang:
Boosting coverage-based fault localization via graph-based representation learning. ESEC/SIGSOFT FSE 2021: 664-676 - [i8]Zeyu Sun, Wenjie Zhang, Lili Mou, Qihao Zhu, Yingfei Xiong, Lu Zhang:
Dynamic Labeling for Unlabeled Graph Neural Networks. CoRR abs/2102.11485 (2021) - [i7]Qihao Zhu, Zeyu Sun, Yuan-an Xiao, Wenjie Zhang, Kang Yuan, Yingfei Xiong, Lu Zhang:
Syntax Guided Neural Program Repair. CoRR abs/2106.08253 (2021) - [i6]Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang:
Lyra: A Benchmark for Turducken-Style Code Generation. CoRR abs/2108.12144 (2021) - [i5]Qihao Zhu, Jianxi Luo:
Generative Pre-Trained Transformer for Design Concept Generation: An Exploration. CoRR abs/2111.08489 (2021) - 2020
- [c5]Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang:
TreeGen: A Tree-Based Transformer Architecture for Code Generation. AAAI 2020: 8984-8991 - [c4]Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang:
NLocalSAT: Boosting Local Search with Solution Prediction. IJCAI 2020: 1177-1183 - [c3]Qihao Zhu, Zeyu Sun, Xiran Liang, Yingfei Xiong, Lu Zhang:
OCoR: An Overlapping-Aware Code Retriever. ASE 2020: 883-894 - [i4]Wenjie Zhang, Zeyu Sun, Qihao Zhu, Ge Li, Shaowei Cai, Yingfei Xiong, Lu Zhang:
NLocalSAT: Boosting Local Search with Solution Prediction. CoRR abs/2001.09398 (2020) - [i3]Qihao Zhu, Zeyu Sun, Xiran Liang, Yingfei Xiong, Lu Zhang:
OCoR: An Overlapping-Aware Code Retriever. CoRR abs/2008.05201 (2020)
2010 – 2019
- 2019
- [c2]Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang:
A Grammar-Based Structural CNN Decoder for Code Generation. AAAI 2019: 7055-7062 - [i2]Zeyu Sun, Qihao Zhu, Yingfei Xiong, Yican Sun, Lili Mou, Lu Zhang:
TreeGen: A Tree-Based Transformer Architecture for Code Generation. CoRR abs/1911.09983 (2019) - 2018
- [i1]Zeyu Sun, Qihao Zhu, Lili Mou, Yingfei Xiong, Ge Li, Lu Zhang:
A Grammar-Based Structural CNN Decoder for Code Generation. CoRR abs/1811.06837 (2018) - 2015
- [c1]Runyu Shi, Jia Zhang, Wenjing Chu, Qihao Bao, Xiatao Jin, Chenran Gong, Qihao Zhu, Chang Yu, Steven Rosenberg:
MDP and Machine Learning-Based Cost-Optimization of Dynamic Resource Allocation for Network Function Virtualization. SCC 2015: 65-73
Coauthor Index
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