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Deming Sheng

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2020 – today

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2022
[j1]
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  - journals/fgcs/ShengYXL22
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Deming Sheng, Jingling Yuan, Qing Xie, Lin Li:
ACMF: An Attention Collaborative Extended Matrix Factorization Based Model for MOOC course service via a heterogeneous view. Future Gener. Comput. Syst. 126: 211-224 (2022)
2021
[c5]
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  - conf/cscwd/ShengY21
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Deming Sheng, Jingling Yuan:
An Efficient Long Chinese Text Sentiment Analysis Method Using BERT-Based Models with BiGRU. CSCWD 2021: 192-197
[c4]
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  - conf/seke/ShengYZ21
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Deming Sheng, Jingling Yuan, Xin Zhang:
How MOOC Videos Affect Dropout? A Lightweight Pipeline Making Student Dropout Interpretable From Several Levels. SEKE 2021: 189-194
[c3]
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Deming Sheng, Jingling Yuan, Xin Zhang:
Grasping or Forgetting? MAKT: A Dynamic Model via Multi-head Self-Attention for Knowledge Tracing. SEKE 2021: 399-404
2020
[c2]
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  - conf/ksem/ShengYXL20
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Deming Sheng, Jingling Yuan, Qing Xie, Pei Luo:
MOOCRec: An Attention Meta-path Based Model for Top-K Recommendation in MOOC. KSEM (1) 2020: 280-288

2010 – 2019

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2019
[c1]
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  - conf/besc/PanYLS19
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Donghang Pan, Jingling Yuan, Lin Li, Deming Sheng:
Deep neural network-based classification model for Sentiment Analysis. BESC 2019: 1-4
[i1]
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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/abs-1907-02046
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Donghang Pan, Jingling Yuan, Lin Li, Deming Sheng:
Deep neural network-based classification model for Sentiment Analysis. CoRR abs/1907.02046 (2019)

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