Haoxiang Jia

According to our database, Haoxiang Jia authored at least 12 papers between 2023 and 2024.

Collaborative distances:

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

2024

CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection.

Shihan Dou, Yueming Wu, Haoxiang Jia, Yuhao Zhou, Yan Liu, Yang Liu

Proc. ACM Softw. Eng., 2024

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.

Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou, Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu, Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang

CoRR, 2024

MetaRM: Shifted Distributions Alignment via Meta-Learning.

Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang Jia, Limao Xiong, Xin Zhao, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, 2024

CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection.

Shihan Dou, Yueming Wu, Haoxiang Jia, Yuhao Zhou, Yan Liu, Yang Liu

CoRR, 2024

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.

Shihan Dou, Yan Liu, Haoxiang Jia, Limao Xiong, Enyu Zhou, Wei Shen, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Xuanjing Huang, Tao Gui

CoRR, 2024

Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection.

Kang Chen, Ming Wen, Haoxiang Jia, Rongxin Wu, Hai Jin

Proceedings of the IEEE International Conference on Software Analysis, 2024

StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback.

Shihan Dou, Yan Liu, Haoxiang Jia, Enyu Zhou, Limao Xiong, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey.

Shihan Dou, Junjie Shan, Haoxiang Jia, Wenhao Deng, Zhiheng Xi, Wei He, Yueming Wu, Tao Gui, Yang Liu, Xuanjing Huang

CoRR, 2023

SMT Solver Validation Empowered by Large Pre-Trained Language Models.

Maolin Sun, Yibiao Yang, Yang Wang, Ming Wen, Haoxiang Jia, Yuming Zhou

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

Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation.

Zifan Xie, Ming Wen, Haoxiang Jia, Xiaochen Guo, Xiaotong Huang, Deqing Zou, Hai Jin

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces.

Haoxiang Jia, Ming Wen, Zifan Xie, Xiaochen Guo, Rongxin Wu, Maolin Sun, Kang Chen, Hai Jin

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

Two-Stage Joint BEM-OTFS Channel Estimation Algorithm Based Sparse Bayesian Learning Algorithm.

Zijian Zhou, Haoxiang Jia, Bin Fang, Danfeng Zhao, Yu Xin, Jian Hua

Proceedings of the 15th IEEE International Conference on Advanced Infocomm Technology, 2023