Xiao Chen
Chinese Academy of Sciences
8 Papers
Xiao Chen is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Code (set theory). The author has an hindex of 1, co-authored 3 publications.
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Papers
Are we building on the rock? on the importance of data preprocessing for code summarization
Lin Shi,Fangwen Mu,Xiao Chen,Song Wang,Junjie Wang,Ye Yang,Ge Li,Xin Xia,Qing Wang +8 more
- 12 Jul 2022
TL;DR: An automated code-comment cleaning tool is proposed that can accurately detect noisy data caused by inappropriate data preprocessing operations from existing benchmark datasets, and removing these noisy data leads to a significant improvement on the performance of code summarization.
A first look at developers’ live chat on Gitter
Lin Shi,Xiao Chen,Ye Yang,Hanzhi Jiang,Ziyou Jiang,Nan Niu,Qing Wang +6 more
- 20 Aug 2021
TL;DR: In this paper, a comprehensive empirical study on developers' live chat, investigating when they interact, what community structures look like, which topics are discussed, and how they interact is presented.
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Automatic Comment Generation via Multi-Pass Deliberation
Fangwen Mu,Xiao Chen,Lin Shi,Song Wang,Qing Wang +4 more
- 14 Sep 2022
TL;DR: The proposed DECOM is a multi-pass deliberation framework for automatic comment generation that outperforms the state-of-the-art baselines and a human evaluation study confirms the comments generated by DECOM tend to be more readable, informative, and useful.
Towards Automated Microfluidic-based Platforms: Optimizing Hydrogenation Efficiency of Nitrobenzene through π-π Interactions in Pd Nanoparticles on Covalent Organic Frameworks.
Juan Deng,Yueji Cai,Jingsheng Chen,Qing Wang,Xiao Chen,Wuxiang Zhang,Kangjie Wu,Weikang Wang,Lingfei Wei,Fu Yang,Aihua Yuan,Huan Pang,Chao Yu +12 more
TL;DR: In this paper , a microfluidic-based autolab with open structures, called Put & Play Automated Microplatform (PPAM), was used for hydrogenation of palladium nanoparticles on the triphenylene-based covalent organic frameworks (Pd/TP-COFs).
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•Posted Content
ISPY: Automatic Issue-Solution Pair Extraction from Community Live Chats.
TL;DR: Wang et al. as discussed by the authors proposed an automated approach, named ISPY, based on natural language processing and deep learning techniques with customized enhancements, to address the problem of issue-solution pair extraction from developer live chat data.
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