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所在单位:
电子信息与电气工程学院
职称:
副教授
电子邮箱:
xiaodong.gu@sjtu.edu.cn
教师拼音名称:
guxiaodong
办公地点:
软件学院1208
性别:
男
在职信息:
在职
学科:
计算机软件与理论(081202)
论文成果
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论文成果
[1] 会议论文,Self-Supervised Learning of Smart Contract Representations,IEEE International Conference on Program Comprehension,2022-05-01
[2] 会议论文,Code Question Answering via Task-Adaptive Sequence-to-Sequence Pre-training,The 29th Asia-Pacific Software Engineering Conference (APSEC 2022),2022-12-01
[3] 会议论文,Diet code is healthy: simplifying programs for pre-trained models of code,The 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE),2022-11-01
[4] 会议论文,Deep API Learning,The 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2016),2016-11-01,顾小东
[5] 会议论文,Continuous Decomposition of Granularity for Neural Paraphrase Generation,The 29th International Conference on Computational Linguistics,2022-09-01,顾小东
[6] 会议论文,Cross-Domain Deep Code Search with Meta Learning,2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022),2022-07-01
[7] 期刊论文,Clean and Learn: Improving Robustness to Spurious Solutions in API Question Answering,INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING,2022-07-01
[8] 会议论文,Zero-Shot Program Representation Learning,IEEE International Conference on Program Comprehension,2022-10-01
[9] 会议论文,Self-Supervised Learning of Smart Contract Representations,IEEE International Conference on Program Comprehension,2022-05-01
[10] 会议论文,DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances,THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE,2021-02-01,顾小东
[11] 会议论文,Do bugs propagate? an empirical analysis of temporal correlations among software bugs,Leibniz International Proceedings in Informatics, LIPIcs,2021-07-01,顾小东
[12] 会议论文,A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts,IEEE International Conference on Program Comprehension,2021-05-01
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