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2020 – today
- 2024
[j1]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): 1564-1584 (2024)- [c6]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: 4571-4585 - [c5]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: 320-331 - [i5]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 abs/2402.01391 (2024) - [i4]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 abs/2405.00428 (2024) - [i3]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 abs/2405.00438 (2024) - [i2]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 abs/2407.06153 (2024) - 2023
- [c4]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: 1-5 - [c3]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: 43-55 - [c2]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: 347-359 - [c1]Maolin Sun, Yibiao Yang, Yang Wang, Ming Wen, Haoxiang Jia, Yuming Zhou:
SMT Solver Validation Empowered by Large Pre-Trained Language Models. ASE 2023: 1288-1300 - [i1]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 abs/2308.01191 (2023)
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