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27 results on '"Wang, Ruyun"'

2. Embedding API Dependency Graph for Neural Code Generation

Author

Lyu, Chen, Wang, Ruyun, Zhang, Hongyu, Zhang, Hanwen, and Hu, Songlin

Subjects
Computer Science - Software Engineering, Computer Science - Artificial Intelligence
Abstract

The problem of code generation from textual program descriptions has long been viewed as a grand challenge in software engineering. In recent years, many deep learning based approaches have been proposed, which can generate a sequence of code from a sequence of textual program description. However, the existing approaches ignore the global relationships among API methods, which are important for understanding the usage of APIs. In this paper, we propose to model the dependencies among API methods as an API dependency graph (ADG) and incorporate the graph embedding into a sequence-to-sequence (Seq2Seq) model. In addition to the existing encoder-decoder structure, a new module named ``embedder" is introduced. In this way, the decoder can utilize both global structural dependencies and textual program description to predict the target code. We conduct extensive code generation experiments on three public datasets and in two programming languages (Python and Java). Our proposed approach, called ADG-Seq2Seq, yields significant improvements over existing state-of-the-art methods and maintains its performance as the length of the target code increases. Extensive ablation tests show that the proposed ADG embedding is effective and outperforms the baselines.

Published
2021
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8. An Artificial Neural Network Model for Predicting Typhoon Intensity and Its Application

Author

Wang, Ruyun, Wang, Tian, Zhang, Xiaoyu, Fang, Qing, Wu, Chumin, Zhang, Bin, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Li, Kang, editor, Xue, Yusheng, editor, Cui, Shumei, editor, Niu, Qun, editor, Yang, Zhile, editor, and Luk, Patrick, editor

Published
2017
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22. New insight into manganese-enhanced abiotic degradation of microplastics: Processes and mechanisms

Author

Sun, Yunlong, Ding, Wei, Wang, Yanhao, Zhang, Zhening, Wang, Ruyun, Guo, Yinghui, Gao, Zhiyuan, Du, Haiyan, and Ma, Dong

Abstract

Microplastics (MPs) are an emerging environmental pollutant and have penetrated the most remote and primitive areas. MPs degradation has received widespread attention. Manganese (Mn) is a highly reactive metal element in the environment, yet its contribution to MPs degradation remains unclear. Herein, we simulated the aging of polyethylene MPs with Mn(II) under aqueous conditions at pH 5 and 8 for 720 days. Mn greatly promoted the MPs degradation, and the average particle sizes of polyethylene MPs were reduced from 9.2 μm to 5.9 μm after aging at pH 5 under light irradiation for 720 days. Plenty of oxygen-containing groups were generated on the MPs surfaces, and the carbonyl index remarkably increased, reaching four times that of the control without adding Mn. Mechanistically, the adsorbed Mn(II) on the MPs surfaces were primarily oxidized to high-valence Mn(III/IV) profited from the photoproduced radicals, followed by the MPs oxidation viaMn(III/IV), which were reduced to regenerate Mn(II), initiating a new redox cycling. During the degradation, dissolved organic matter was continuously released, mainly including bisphenol A and phthalic acid esters. Mn acts as a catalyst to accelerate the MPs degradation by redox cycling. Our results provide a new insight into the mechanisms of abiotic degradation of MPs in aqueous environments.

Published
2024
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