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Zeng, Kungan
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1

Web service embedding: Representing the invocation associat..:

Zeng, Kungan ; Paik, Incheon
Expert Systems with Applications.  238 (2024)  - p. 122196 , 2024
Link: https://doi.org/10.1016/..
 
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2

A Spatiotemporal Information-Driven Cross-Attention Model W..:

Zeng, Kungan ; Li, Zhenni ; Zhao, Haoli...
IEEE Internet of Things Journal.  , 2024
Link: https://doi.org/10.1109/..
 
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3

A Few-Shot Learning-Based Semi-Supervised Method to Enhance..:

Zeng, Kungan ; Li, Zhenni ; Xie, Shengli...
IEEE Transactions on Instrumentation and Measurement.  , 2024
Link: https://doi.org/10.1109/..
 
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4

Adaptive sparsity-regularized deep dictionary learning base..:

Li, Zhenni ; Xie, Ying ; Zeng, Kungan..
Knowledge-Based Systems.  260 (2023)  - p. 110123 , 2023
Link: https://doi.org/10.1016/..
 
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5

Web-based Automatic Deep Learning Service Generation System..:

, In: 2022 IEEE 25th International Conference on Computational Science and Engineering (CSE),
Paik, Incheon ; Zeng, Kungan ; Bae, Munhan - p. 65-72 , 2022
Link: https://doi.org/10.1109/..
 
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6

Semantic Service Clustering With Lightweight BERT-Based Ser..:

Zeng, Kungan ; Paik, Incheon
IEEE Access.  9 (2021)  - p. 54298-54309 , 2021
Link: https://doi.org/10.1109/..
 
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7

Web Service Composition Sequence Learning Based on Neural L..:

, In: 2020 IEEE 14th International Conference on Big Data Science and Engineering (BigDataSE),
Zeng, Kungan ; Paik, Incheon - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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8

A Lightweight Transformer with Convolutional Attention:

, In: 2020 11th International Conference on Awareness Science and Technology (iCAST),
Zeng, Kungan ; Paik, Incheon - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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9

Resolving Lexical Ambiguity in English-Japanese Neural Mach..:

, In: 2020 3rd Artificial Intelligence and Cloud Computing Conference,
Do, Quang-Minh ; Zeng, Kungan ; Paik, Incheon - p. 46-51 , 2020
Link: https://dl.acm.org/doi/1..
 
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10

Semantic Service Clustering With Lightweight BERT-Based Ser..:

Kungan Zeng ; Incheon Paik
https://ieeexplore.ieee.org/document/9389549/.  , 2021
Link: https://doi.org/10.1109/..
 
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