Xiaodong Gu

According to our database, Xiaodong Gu authored at least 27 papers between 2015 and 2024.

Collaborative distances:

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

2024

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers.

Yuling Shi, Hongyu Zhang, Chengcheng Wan, Xiaodong Gu

CoRR, 2024

2023

DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing.

Wenhui Jiang, Xiaodong Gu, Yuting Chen, Beijun Shen

Neural Process. Lett., December, 2023

Finding the best learning to rank algorithms for effort-aware defect prediction.

Xiao Yu, Heng Dai, Li Li, Xiaodong Gu, Jacky Wai Keung, Kwabena Ebo Bennin, Fuyang Li, Jin Liu

Inf. Softw. Technol., May, 2023

On the Effectiveness of Large Language Models in Domain-Specific Code Generation.

Meng Chen, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, Juhong Wang, Xiaodong Gu

CoRR, 2023

Self-Supervised Query Reformulation for Code Search.

Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

InfeRE: Step-by-Step Regex Generation via Chain of Inference.

Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen

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

On the Evaluation of Neural Code Translation: Taxonomy and Benchmark.

Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen

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

Influential Recommender System.

Haoren Zhu, Hao Ge, Xiaodong Gu, Pengfei Zhao, Dik Lun Lee

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Clean and Learn: Improving Robustness to Spurious Solutions in API Question Answering.

Shuai Yuan, Haozhe Qin, Xiaodong Gu, Beijun Shen

Int. J. Softw. Eng. Knowl. Eng., 2022

Cross-Domain Deep Code Search with Few-Shot Meta Learning.

Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu

CoRR, 2022

Diet code is healthy: simplifying programs for pre-trained models of code.

Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Answering Software Deployment Questions via Neural Machine Reading at Scale.

Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, Beijun Shen

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

Self-supervised learning of smart contract representations.

Shouliang Yang, Xiaodong Gu, Beijun Shen

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Zero-shot program representation learning.

Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Cross-Domain Deep Code Search with Meta Learning.

Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Continuous Decomposition of Granularity for Neural Paraphrase Generation.

Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training.

Tingrui Yu, Xiaodong Gu, Beijun Shen

Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021

Response Generation with Context-Aware Prompt Learning.

Xiaodong Gu, Kang Min Yoo, Sang-Woo Lee

CoRR, 2021

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts.

Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, Miao Zhang

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

Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs.

Xiaodong Gu, Yo-Sub Han, Sunghun Kim, Hongyu Zhang

Proceedings of the 35th European Conference on Object-Oriented Programming, 2021

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances.

Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples.

Xiaodong Gu, Hongyu Zhang, Sunghun Kim

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder.

Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Deep code search.

Xiaodong Gu, Hongyu Zhang, Sunghun Kim

Proceedings of the 40th International Conference on Software Engineering, 2018

2017

DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning.

Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Deep API learning.

Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

2015

"What Parts of Your Apps are Loved by Users?" (T).

Xiaodong Gu, Sunghun Kim

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015