"What Parts of Your Apps are Loved by Users?" (T). - Xiaodong Gu 002; Sunghun Kim 001 (ASE, 2015)

Deep API learning. - Xiaodong Gu 002; Hongyu Zhang 002; Dongmei Zhang 001; Sunghun Kim 001 (SIGSOFT FSE, 2016)

DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. - Xiaodong Gu 002; Hongyu Zhang 002; Dongmei Zhang 001; Sunghun Kim 001 (IJCAI, 2017)

Deep code search. - Xiaodong Gu 002; Hongyu Zhang 002; Sunghun Kim 001 (ICSE, 2018)

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. - Xiaodong Gu 002; Kyunghyun Cho; Jung-Woo Ha 001; Sunghun Kim 001 (ICLR (Poster), 2019)

CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. - Xiaodong Gu 002; Hongyu Zhang 002; Sunghun Kim 001 (ASE, 2019)

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. - Xiaodong Gu 002; Kang Min Yoo; Jung-Woo Ha 001 (AAAI, 2021)

Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. - Xiaodong Gu 002; Yo-Sub Han; Sunghun Kim 001; Hongyu Zhang 002 (ECOOP, 2021)

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts. - Zhen Yang 022; Jacky Keung; Xiao Yu 008; Xiaodong Gu 002; Zhengyuan Wei; Xiaoxue Ma; Miao Zhang (ICPC, 2021)

Response Generation with Context-Aware Prompt Learning. - Xiaodong Gu 002; Kang Min Yoo; Sang-Woo Lee 001 (CoRR, 2021)

Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training. - Tingrui Yu; Xiaodong Gu 002; Beijun Shen (APSEC, 2022)

Continuous Decomposition of Granularity for Neural Paraphrase Generation. - Xiaodong Gu 002; Zhaowei Zhang; Sang-Woo Lee 001; Kang Min Yoo; Jung-Woo Ha 001 (COLING, 2022)

Cross-Domain Deep Code Search with Meta Learning. - Yitian Chai; Hongyu Zhang 002; Beijun Shen; Xiaodong Gu 002 (ICSE, 2022)

Zero-shot program representation learning. - Nan Cui; Yuze Jiang; Xiaodong Gu 002; Beijun Shen (ICPC, 2022)

Self-supervised learning of smart contract representations. - Shouliang Yang; Xiaodong Gu 002; Beijun Shen (ICPC, 2022)

Answering Software Deployment Questions via Neural Machine Reading at Scale. - Guanjie Qiu; Diwei Chen; Shuai Zhang; Yitian Chai; Xiaodong Gu 002; Beijun Shen (ASE, 2022)

Diet code is healthy: simplifying programs for pre-trained models of code. - Zhaowei Zhang; Hongyu Zhang 002; Beijun Shen; Xiaodong Gu 002 (ESEC/SIGSOFT FSE, 2022)

Cross-Domain Deep Code Search with Few-Shot Meta Learning. - Yitian Chai; Hongyu Zhang 002; Beijun Shen; Xiaodong Gu 002 (CoRR, 2022)

Clean and Learn: Improving Robustness to Spurious Solutions in API Question Answering. - Shuai Yuan; Haozhe Qin; Xiaodong Gu 002; Beijun Shen (Int. J. Softw. Eng. Knowl. Eng., 2022)

Influential Recommender System. - Haoren Zhu; Hao Ge; Xiaodong Gu 002; Pengfei Zhao; Dik Lun Lee (ICDE, 2023)

On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. - Mingsheng Jiao; Tingrui Yu; Xuan Li; Guanjie Qiu; Xiaodong Gu 002; Beijun Shen (ASE, 2023)

InfeRE: Step-by-Step Regex Generation via Chain of Inference. - Shuai Zhang; Xiaodong Gu 002; Yuting Chen 001; Beijun Shen (ASE, 2023)

Self-Supervised Query Reformulation for Code Search. - Yuetian Mao; Chengcheng Wan 001; Yuze Jiang; Xiaodong Gu 002 (ESEC/SIGSOFT FSE, 2023)

Finding the best learning to rank algorithms for effort-aware defect prediction. - Xiao Yu 008; Heng Dai; Li Li 029; Xiaodong Gu 002; Jacky Wai Keung; Kwabena Ebo Bennin; Fuyang Li; Jin Liu 016 (Inf. Softw. Technol., 2023)

DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing. - Wenhui Jiang; Xiaodong Gu 002; Yuting Chen 001; Beijun Shen (Neural Process. Lett., 2023)

Unraveling the Potential of Large Language Models in Code Translation: How Far are We? - Qingxiao Tao; Tingrui Yu; Xiaodong Gu 002; Beijun Shen (APSEC, 2024)

How Effectively Do Code Language Models Understand Poor-Readability Code? - Chao Hu; Yitian Chai; Hao Zhou 012; Fandong Meng; Jie Zhou 016; Xiaodong Gu 002 (ASE, 2024)

Zero-Shot Code Representation Learning via Prompt Tuning. - Nan Cui; Xiaodong Gu 002; Beijun Shen (CoRR, 2024)

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging. - Yuling Shi; Songsong Wang; Chengcheng Wan 001; Xiaodong Gu 002 (CoRR, 2024)

CodeCipher: Learning to Obfuscate Source Code Against LLMs. - Yalan Lin; Chengcheng Wan 001; Yixiong Fang; Xiaodong Gu 002 (CoRR, 2024)

Few-shot code translation via task-adapted prompt learning. - Xuan Li; Shuai Yuan; Xiaodong Gu 002; Yuting Chen 001; Beijun Shen (J. Syst. Softw., 2024)

Project-specific code summarization with in-context learning. - Shangbo Yun; Shuhuai Lin; Xiaodong Gu 002; Beijun Shen (J. Syst. Softw., 2024)

VarGAN: Adversarial Learning of Variable Semantic Representations. - Yalan Lin; Chengcheng Wan 001; Shuwen Bai; Xiaodong Gu 002 (IEEE Trans. Software Eng., 2024)

ApiRAT: Integrating Multi-source API Knowledge for Enhanced Code Translation with LLMs. - Chaofan Wang; Guanjie Qiu; Xiaodong Gu 002; Beijun Shen (COMPSAC, 2025)

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs. - Chen Xie; Mingsheng Jiao; Xiaodong Gu 002; Beijun Shen (COMPSAC, 2025)

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers. - Yuling Shi; Hongyu Zhang 002; Chengcheng Wan 001; Xiaodong Gu 002 (ICSE, 2025)

Just-in-time software defect prediction via bi-modal change representation learning. - Yuze Jiang; Beijun Shen; Xiaodong Gu 002 (J. Syst. Softw., 2025)

On the Effectiveness of Large Language Models in Domain-Specific Code Generation. - Xiaodong Gu 002; Meng Chen; Yalan Lin; Yuhan Hu; Hongyu Zhang 002; Chengcheng Wan 001; Zhao Wei; Yong Xu 010; Juhong Wang (ACM Trans. Softw. Eng. Methodol., 2025)

Anti-adversarial Learning: Desensitizing Prompts for Large Language Models. - Xuan Li; Zhe Yin; Xiaodong Gu 002; Beijun Shen (CoRR, 2025)

EVOC2RUST: A Skeleton-guided Framework for Project-Level C-to-Rust Translation. - Chaofan Wang; Tingrui Yu; Jie Wang; Dong Chen; Wenrui Zhang; Yuling Shi; Xiaodong Gu 002; Beijun Shen (CoRR, 2025)

Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal. - Wenhao Zeng; Yaoning Wang; Chao Hu; Yuling Shi; Chengcheng Wan 001; Hongyu Zhang 002; Xiaodong Gu 002 (CoRR, 2025)

Transplant Then Regenerate: A New Paradigm for Text Data Augmentation. - Guangzhan Wang; Hongyu Zhang 002; Beijun Shen; Xiaodong Gu 002 (CoRR, 2025)