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Your search keyword '"Yin, Xiaoshuang"' showing total 263 results
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263 results on '"Yin, Xiaoshuang"'

5. Topological Continual Learning with Wasserstein Distance and Barycenter

Author

Songdechakraiwut, Tananun, Yin, Xiaoshuang, and Van Veen, Barry D.

Subjects
Computer Science - Machine Learning
Abstract

Continual learning in neural networks suffers from a phenomenon called catastrophic forgetting, in which a network quickly forgets what was learned in a previous task. The human brain, however, is able to continually learn new tasks and accumulate knowledge throughout life. Neuroscience findings suggest that continual learning success in the human brain is potentially associated with its modular structure and memory consolidation mechanisms. In this paper we propose a novel topological regularization that penalizes cycle structure in a neural network during training using principled theory from persistent homology and optimal transport. The penalty encourages the network to learn modular structure during training. The penalization is based on the closed-form expressions of the Wasserstein distance and barycenter for the topological features of a 1-skeleton representation for the network. Our topological continual learning method combines the proposed regularization with a tiny episodic memory to mitigate forgetting. We demonstrate that our method is effective in both shallow and deep network architectures for multiple image classification datasets.

Published
2022

39. Remediation of petroleum‐contaminated soil by Fenton oxidation–pyrolysis.

Author

Gu, Meixia, Zhou, Guangxue, Zhu, Wei, Guo, Shuhai, Dong, Jianing, Tian, Lingyan, Dai, Hongbo, Kong, Dehui, Yin, Xiaoshuang, Lou, Bin, Wen, Fushan, Shi, Nan, and Liu, Dong

Subjects
SOIL remediation, PYROLYSIS kinetics, ENERGY consumption, SOIL composition, RATE coefficients (Chemistry)
Abstract

Petroleum‐contaminated soil (PCS) is urgently to be remediated due to its risk to ecological environment and human health. In this study, a Fenton oxidation–pyrolysis strategy was employed to accomplish effective petroleum removal and PCS remediation. The highest total petroleum hydrocarbon removal efficiency could achieve 99.6% after 2 h Fenton oxidation, with H2O2/Fe2+, 6:1, and pH 3, followed by pyrolysis at 370°C. The organic compositions of the soil after Fenton oxidation, the kinetics and process of the pyrolysis, morphologies and structures of the treated soil, as well as energy consumption and cost savings were comprehensively researched and analyzed. Through the Fenton oxidation–pyrolysis treatment, the macromolecules were effectively degraded and the contents of asphaltenes and resins were significantly reduced in the soil. Graphitized carbon was dominatingly existed after the pyrolysis. A 1.5 order reaction model was proposed to reasonably describe the pyrolysis remediation process of PCS. The Fenton oxidation–pyrolysis treatment can reduce energy consumption and cost compared with pyrolysis alone. This work not only offered an alternative approach of PCS remediation, but also provided theoretical guidance for practical soil remediation. [ABSTRACT FROM AUTHOR]

Published
2024
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