Xiaodong Gu

Orcid: 0000-0002-0529-6408

Affiliations:

Shanghai Jiao Tong University, China

According to our database¹, Xiaodong Gu authored at least 68 papers between 2015 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

HEART-Bench: Do LLM Agents Exhibit Human-like Psychology?

[BibT_eX]

[DOI]

CoRR, May, 2026

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation.

[BibT_eX]

[DOI]

CoRR, April, 2026

ShredBench: Evaluating the Semantic Reasoning Capabilities of Multimodal LLMs in Document Reconstruction.

[BibT_eX]

[DOI]

CoRR, April, 2026

EffiSkill: Agent Skill Based Automated Code Efficiency Optimization.

[BibT_eX]

[DOI]

CoRR, March, 2026

Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation.

[BibT_eX]

[DOI]

CoRR, February, 2026

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents.

[BibT_eX]

[DOI]

CoRR, February, 2026

Rethinking Code Complexity Through the Lens of Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2026

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding.

[BibT_eX]

[DOI]

CoRR, February, 2026

Synthetic Malware at Scale: Malicious Code Generation With Code Transplanting.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., January, 2026

SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents.

[BibT_eX]

[DOI]

CoRR, January, 2026

Readability-Robust Code Summarization via Meta Curriculum Learning.

[BibT_eX]

[DOI]

CoRR, January, 2026

GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts.

[BibT_eX]

[DOI]

CoRR, January, 2026

CatchAll: Repository-Aware Exception Handling with Knowledge-Guided LLMs.

[BibT_eX]

[DOI]

CoRR, January, 2026

In Line with Context: Repository-Level Code Generation via Context Inlining.

[BibT_eX]

[DOI]

CoRR, January, 2026

Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Anti-adversarial Learning: Desensitizing Prompts for Large Language Model.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?

[BibT_eX]

[DOI]

Zhe Yin

Xiaodong Gu

Beijun Shen

CoRR, December, 2025

Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models.

[BibT_eX]

[DOI]

CoRR, December, 2025

SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation.

[BibT_eX]

[DOI]

CoRR, September, 2025

SWE-QA: Can Language Models Answer Repository-level Code Questions?

[BibT_eX]

[DOI]

CoRR, September, 2025

LibRec: Benchmarking Retrieval-Augmented LLMs for Library Migration Recommendations.

[BibT_eX]

[DOI]

CoRR, August, 2025

Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal.

[BibT_eX]

[DOI]

CoRR, August, 2025

EVOC2RUST: A Skeleton-guided Framework for Project-Level C-to-Rust Translation.

[BibT_eX]

[DOI]

CoRR, August, 2025

SWE-Exp: Experience-Driven Software Issue Resolution.

[BibT_eX]

[DOI]

CoRR, July, 2025

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution.

[BibT_eX]

[DOI]

CoRR, July, 2025

Anti-adversarial Learning: Desensitizing Prompts for Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., March, 2025

AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, March, 2025

Just-in-time software defect prediction via bi-modal change representation learning.

[BibT_eX]

[DOI]

Yuze Jiang

Beijun Shen

Xiaodong Gu

J. Syst. Softw., 2025

LongCodeZip: Compress Long Context for Code Language Models.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Transplant Then Regenerate: A New Paradigm for Text Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LastingBench: Defend Benchmarks Against Knowledge Leakage.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

ApiRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

2024

VarGAN: Adversarial Learning of Variable Semantic Representations.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., June, 2024

Project-specific code summarization with in-context learning.

[BibT_eX]

[DOI]

J. Syst. Softw., 2024

Few-shot code translation via task-adapted prompt learning.

[BibT_eX]

[DOI]

J. Syst. Softw., 2024

CodeCipher: Learning to Obfuscate Source Code Against LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging.

[BibT_eX]

[DOI]

CoRR, 2024

Zero-Shot Code Representation Learning via Prompt Tuning.

[BibT_eX]

[DOI]

Nan Cui

Xiaodong Gu

Beijun Shen

CoRR, 2024

How Effectively Do Code Language Models Understand Poor-Readability Code?

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Unraveling the Potential of Large Language Models in Code Translation: How Far are We?

[BibT_eX]

[DOI]

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023

DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing.

[BibT_eX]

[DOI]

Neural Process. Lett., December, 2023

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

[BibT_eX]

[DOI]

Inf. Softw. Technol., May, 2023

Self-Supervised Query Reformulation for Code Search.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Influential Recommender System.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Self-supervised learning of smart contract representations.

[BibT_eX]

[DOI]

Shouliang Yang

Xiaodong Gu

Beijun Shen

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

Zero-shot program representation learning.

[BibT_eX]

[DOI]

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

Cross-Domain Deep Code Search with Meta Learning.

[BibT_eX]

[DOI]

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

Continuous Decomposition of Granularity for Neural Paraphrase Generation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Tingrui Yu

Xiaodong Gu

Beijun Shen

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

2021

Response Generation with Context-Aware Prompt Learning.

[BibT_eX]

[DOI]

Xiaodong Gu

Kang Min Yoo

Sang-Woo Lee

CoRR, 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

Deep code search.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2016

Deep API learning.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Xiaodong Gu

Sunghun Kim

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

Xiaodong Gu

Timeline

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