Rui Xie

According to our database, Rui Xie authored at least 24 papers between 2019 and 2025.

Collaborative distances:

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

2025

Seed&Steer: Guiding Large Language Models with Compilable Prefix and Branch Signals for Unit Test Generation.

Shuaiyu Zhou, Zhengran Zeng, Xiaoling Zhou, Rui Xie, Shikun Zhang, Wei Ye

CoRR, July, 2025

Mitigating spurious correlations with causal logit perturbation.

Xiaoling Zhou, Wei Ye, Rui Xie, Shikun Zhang

Inf. Sci., 2025

All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising.

Xiaoling Zhou, Zhemg Lee, Wei Ye, Rui Xie, Wenbo Zhang, Guanju Peng, Zongze Li, Shikun Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Exploring Vision-Language Models for Imbalanced Learning.

Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang

Int. J. Comput. Vis., January, 2024

CodeShell Technical Report.

Rui Xie, Zhengran Zeng, Zhuohao Yu, Chang Gao, Shikun Zhang, Wei Ye

CoRR, 2024

Can Large Language Models Recall Reference Location Like Humans?

Ye Wang, Xinrun Xu, Rui Xie, Wenxin Hu, Wei Ye

CoRR, 2024

CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios.

Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang

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

Leveraging In-and-Cross Project Pseudo-Summaries for Project-Specific Code Summarization.

Yupeng Wu, Tianxiang Hu, Ninglin Liao, Rui Xie, Minghui Zhang, Dongdong Du, Shujun Lin

Proceedings of the International Joint Conference on Neural Networks, 2024

Boosting Model Resilience via Implicit Adversarial Data Augmentation.

Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Improving Long-Tail Vulnerability Detection Through Data Augmentation Based on Large Language Models.

Xiao Deng, Fuyao Duan, Rui Xie, Wei Ye, Shikun Zhang

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness.

Wenjin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shikun Zhang, Wei Ye

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Enhancing In-Context Learning via Implicit Demonstration Augmentation.

Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang

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

2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.

Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang

CoRR, 2023

Exploiting Pseudo Image Captions for Multimodal Summarization.

Chaoya Jiang, Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Low-Resources Project-Specific Code Summarization.

Rui Xie, Tianxiang Hu, Wei Ye, Shikun Zhang

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

3Rs: Data Augmentation Techniques Using Document Contexts For Low-Resource Chinese Named Entity Recognition.

Zheyu Ying, Jinglei Zhang, Rui Xie, Guochang Wen, Feng Xiao, Xueyang Liu, Shikun Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach.

Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang

Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

2020

Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning.

Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Exploiting Code Knowledge Graph for Bug Localization via Bi-directional Attention.

Jinglei Zhang, Rui Xie, Wei Ye, Yuhan Zhang, Shikun Zhang

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Graph Enhanced Dual Attention Network for Document-Level Relation Extraction.

Bo Li, Wei Ye, Zhonghao Sheng, Rui Xie, Xiangyu Xi, Shikun Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery.

Rui Xie, Long Chen, Wei Ye, Zhiyu Li, Tianxiang Hu, Dongdong Du, Shikun Zhang

Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

A Hybrid Character Representation for Chinese Event Detection.

Xiangyu Xi, Tong Zhang, Wei Ye, Jinglei Zhang, Rui Xie, Shikun Zhang

Proceedings of the International Joint Conference on Neural Networks, 2019

Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data.

Wei Ye, Bo Li, Rui Xie, Zhonghao Sheng, Long Chen, Shikun Zhang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019