Haoxiang Jia

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 12

Top Topics

Reinforcement Learning

Language Modelling

Top Venues

Publications

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
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback. ACL (1) (2024)
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
What's Wrong with Your Code Generated by Large Language Models? An Extensive Study. CoRR (2024)
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
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback. CoRR (2024)
Shihan Dou, Yueming Wu, Haoxiang Jia, Yuhao Zhou, Yan Liu, Yang Liu
CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Shihan Dou, Yan Liu, Enyu Zhou, Tianlong Li, Haoxiang Jia, Limao Xiong, Xin Zhao, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
MetaRM: Shifted Distributions Alignment via Meta-Learning. CoRR (2024)
Shihan Dou, Yueming Wu, Haoxiang Jia, Yuhao Zhou, Yan Liu, Yang Liu
CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection. CoRR (2024)
Kang Chen, Ming Wen, Haoxiang Jia, Rongxin Wu, Hai Jin
Towards Effective and Efficient Error Handling Code Fuzzing Based on Software Fault Injection. SANER (2024)
Maolin Sun, Yibiao Yang, Yang Wang, Ming Wen, Haoxiang Jia, Yuming Zhou
SMT Solver Validation Empowered by Large Pre-Trained Language Models. ASE (2023)
Haoxiang Jia, Ming Wen, Zifan Xie, Xiaochen Guo, Rongxin Wu, Maolin Sun, Kang Chen, Hai Jin
Detecting JVM JIT Compiler Bugs via Exploring Two-Dimensional Input Spaces. ICSE (2023)
Zifan Xie, Ming Wen, Haoxiang Jia, Xiaochen Guo, Xiaotong Huang, Deqing Zou, Hai Jin
Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation. ISSTA (2023)
Zijian Zhou, Haoxiang Jia, Bin Fang, Danfeng Zhao, Yu Xin, Jian Hua
Two-Stage Joint BEM-OTFS Channel Estimation Algorithm Based Sparse Bayesian Learning Algorithm. ICAIT (2023)
Shihan Dou, Junjie Shan, Haoxiang Jia, Wenhao Deng, Zhiheng Xi, Wei He, Yueming Wu, Tao Gui, Yang Liu, Xuanjing Huang
Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey. CoRR (2023)