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Shengmin Cui

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2020 – today

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2023
[j5]
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  - journals/ipm/CaoCJ23
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  - https://dblp.org/rec/journals/ipm/CaoCJ23
Gang Cao, Shengmin Cui, Inwhee Joe:
Improving the spatial-temporal aware attention network with dynamic trajectory graph learning for next Point-Of-Interest recommendation. Inf. Process. Manag. 60(3): 103335 (2023)
[j4]
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  - journals/nca/CuiJ23
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Shengmin Cui, Inwhee Joe:
A multi-head adjacent attention-based pyramid layered model for nested named entity recognition. Neural Comput. Appl. 35(3): 2561-2574 (2023)
2022
[j3]
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  - journals/access/HongCHJK22
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Seokjoon Hong, Shengmin Cui, Hoyeon Hwang, Inwhee Joe, Wontae Kim:
Personalized Energy Consumption Prediction of CAEVs With Personal Driving Cycle Selection. IEEE Access 10: 54459-54473 (2022)
2021
[j2]
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  - journals/access/CuiJ21
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Shengmin Cui, Inwhee Joe:
A Dynamic Spatial-Temporal Attention-Based GRU Model With Healthy Features for State-of-Health Estimation of Lithium-Ion Batteries. IEEE Access 9: 27374-27388 (2021)
2020
[j1]
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  - journals/jcn/CuiJ20
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Shengmin Cui, Inwhee Joe:
Collision prediction for a low power wide area network using deep learning methods. J. Commun. Networks 22(3): 205-214 (2020)
[c1]
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  - conf/csoc/CuiYKHJ20
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Shengmin Cui, Xiaowa Yong, Sanghwan Kim, Seokjoon Hong, Inwhee Joe:
An LSTM-Based Encoder-Decoder Model for State-of-Charge Estimation of Lithium-Ion Batteries. CSOC (1) 2020: 178-188

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