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ORCIDXiaodong Gu 0002
Person information
- affiliation: Shanghai Jiao Tong University, China
Other persons with the same name
- Xiaodong Gu — disambiguation page
- Xiaodong Gu 0001
![[0000-0002-7096-1830]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7096-1830")
— Fudan University, School of Information Science and Engineering, Department of Electronic Engineering, Shanghai, China - Xiaodong Gu 0003 — Tokyo Institute of Technology, Yokohama, Japan
- Xiaodong Gu 0004 — Alibaba Group, Hangzhou, China (and 1 more)
- Xiaodong Gu 0005 — Xuanyuan Company, Shanghai, China (and 1 more)
- Xiaodong Gu 0006 — Jiangsu Second Normal University, School of Mathematics and Information Technology, Nanjing, China (and 1 more)
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2020 – today
- 2024
[j5]Xuan Li, Shuai Yuan, Xiaodong Gu, Yuting Chen, Beijun Shen:
Few-shot code translation via task-adapted prompt learning. J. Syst. Softw. 212: 112002 (2024)- [j4]Yalan Lin, Chengcheng Wan, Shuwen Bai, Xiaodong Gu:
VarGAN: Adversarial Learning of Variable Semantic Representations. IEEE Trans. Software Eng. 50(6): 1505-1517 (2024) - [i18]Yuling Shi, Hongyu Zhang, Chengcheng Wan, Xiaodong Gu:
Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers. CoRR abs/2401.06461 (2024) - [i17]Nan Cui, Xiaodong Gu, Beijun Shen:
Zero-Shot Code Representation Learning via Prompt Tuning. CoRR abs/2404.08947 (2024) - [i16]Yuling Shi, Songsong Wang, Chengcheng Wan, Xiaodong Gu:
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging. CoRR abs/2410.01215 (2024) - 2023
- [j3]Xiao Yu, Heng Dai, Li Li, Xiaodong Gu, Jacky Wai Keung, Kwabena Ebo Bennin, Fuyang Li, Jin Liu:
Finding the best learning to rank algorithms for effort-aware defect prediction. Inf. Softw. Technol. 157: 107165 (2023) - [j2]Wenhui Jiang, Xiaodong Gu, Yuting Chen, Beijun Shen:
DuReSE: Rewriting Incomplete Utterances via Neural Sequence Editing. Neural Process. Lett. 55(7): 8713-8730 (2023) - [c20]Haoren Zhu, Hao Ge, Xiaodong Gu, Pengfei Zhao, Dik Lun Lee:
Influential Recommender System. ICDE 2023: 1406-1419 - [c19]Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen:
InfeRE: Step-by-Step Regex Generation via Chain of Inference. ASE 2023: 1505-1515 - [c18]Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen:
On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. ASE 2023: 1529-1541 - [c17]Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu:
Self-Supervised Query Reformulation for Code Search. ESEC/SIGSOFT FSE 2023: 363-374 - [i15]Yuetian Mao, Chengcheng Wan, Yuze Jiang, Xiaodong Gu:
Self-Supervised Query Reformulation for Code Search. CoRR abs/2307.00267 (2023) - [i14]Shuai Zhang, Xiaodong Gu, Yuting Chen, Beijun Shen:
InfeRE: Step-by-Step Regex Generation via Chain of Inference. CoRR abs/2308.04041 (2023) - [i13]Mingsheng Jiao, Tingrui Yu, Xuan Li, Guanjie Qiu, Xiaodong Gu, Beijun Shen:
On the Evaluation of Neural Code Translation: Taxonomy and Benchmark. CoRR abs/2308.08961 (2023) - [i12]Meng Chen, Hongyu Zhang, Chengcheng Wan, Zhao Wei, Yong Xu, Juhong Wang, Xiaodong Gu:
On the Effectiveness of Large Language Models in Domain-Specific Code Generation. CoRR abs/2312.01639 (2023) - 2022
- [j1]Shuai Yuan, Haozhe Qin, Xiaodong Gu, Beijun Shen:
Clean and Learn: Improving Robustness to Spurious Solutions in API Question Answering. Int. J. Softw. Eng. Knowl. Eng. 32(7): 1101-1123 (2022) - [c16]Tingrui Yu, Xiaodong Gu, Beijun Shen:
Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training. APSEC 2022: 229-238 - [c15]Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha:
Continuous Decomposition of Granularity for Neural Paraphrase Generation. COLING 2022: 6369-6378 - [c14]Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Meta Learning. ICSE 2022: 487-498 - [c13]Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen:
Zero-shot program representation learning. ICPC 2022: 60-70 - [c12]Shouliang Yang, Xiaodong Gu, Beijun Shen:
Self-supervised learning of smart contract representations. ICPC 2022: 82-93 - [c11]Guanjie Qiu, Diwei Chen, Shuai Zhang, Yitian Chai, Xiaodong Gu, Beijun Shen:
Answering Software Deployment Questions via Neural Machine Reading at Scale. ASE 2022: 151:1-151:4 - [c10]Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Diet code is healthy: simplifying programs for pre-trained models of code. ESEC/SIGSOFT FSE 2022: 1073-1084 - [i11]Yitian Chai, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Cross-Domain Deep Code Search with Few-Shot Meta Learning. CoRR abs/2201.00150 (2022) - [i10]Nan Cui, Yuze Jiang, Xiaodong Gu, Beijun Shen:
Zero-Shot Program Representation Learning. CoRR abs/2204.08360 (2022) - [i9]Zhaowei Zhang, Hongyu Zhang, Beijun Shen, Xiaodong Gu:
Diet Code is Healthy: Simplifying Programs for Pre-Trained Models of Code. CoRR abs/2206.14390 (2022) - [i8]Xiaodong Gu, Zhaowei Zhang, Sang-Woo Lee, Kang Min Yoo, Jung-Woo Ha:
Continuous Decomposition of Granularity for Neural Paraphrase Generation. CoRR abs/2209.01765 (2022) - [i7]Haoren Zhu, Hao Ge, Xiaodong Gu, Pengfei Zhao, Dik Lun Lee:
Influential Recommender System. CoRR abs/2211.10002 (2022) - 2021
- [c9]Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha:
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. AAAI 2021: 12911-12919 - [c8]Xiaodong Gu, Yo-Sub Han, Sunghun Kim, Hongyu Zhang:
Do Bugs Propagate? An Empirical Analysis of Temporal Correlations Among Software Bugs. ECOOP 2021: 11:1-11:21 - [c7]Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, Miao Zhang:
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts. ICPC 2021: 1-12 - [i6]Zhen Yang, Jacky Keung, Xiao Yu, Xiaodong Gu, Zhengyuan Wei, Xiaoxue Ma, Miao Zhang:
A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts. CoRR abs/2103.07164 (2021) - [i5]Xiaodong Gu, Kang Min Yoo, Sang-Woo Lee:
Response Generation with Context-Aware Prompt Learning. CoRR abs/2111.02643 (2021) - 2020
- [i4]Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha:
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. CoRR abs/2012.01775 (2020)
2010 – 2019
- 2019
- [c6]Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. ICLR (Poster) 2019 - [c5]Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples. ASE 2019: 590-601 - 2018
- [c4]Xiaodong Gu, Hongyu Zhang, Sunghun Kim:
Deep code search. ICSE 2018: 933-944 - [i3]Xiaodong Gu, Kyunghyun Cho, Jung-Woo Ha, Sunghun Kim:
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder. CoRR abs/1805.12352 (2018) - 2017
- [c3]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. IJCAI 2017: 3675-3681 - [i2]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. CoRR abs/1704.07734 (2017) - 2016
- [c2]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API learning. SIGSOFT FSE 2016: 631-642 - [i1]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API Learning. CoRR abs/1605.08535 (2016) - 2015
- [c1]Xiaodong Gu, Sunghun Kim:
"What Parts of Your Apps are Loved by Users?" (T). ASE 2015: 760-770
Coauthor Index
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