Projects per year
Personal profile
Research Interests
Data Mining、Recommender Systems、Intelligent Data Analysis
Education/Academic qualification
PhD, University of Minnesota Twin Cities
External positions
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Dive into the research topics where Duen-Ren Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Research on Deep Learning Models for Tag Recommendation based on Topics, Popular Search Terms and Group Articles
1/08/21 → 31/07/22
Project: Government Ministry › Ministry of Science and Technology
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Research on Deep Learning Models for Tag Recommendation based on Topics, Popular Search Terms and Group Articles
1/08/22 → 31/07/23
Project: Government Ministry › Ministry of Science and Technology
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Research on Deep Learning and Generative Adversarial Network Models for Document Recommendation
1/08/20 → 31/07/21
Project: Government Ministry › Ministry of Science and Technology
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Research on Deep Learning and Generative Adversarial Network Models for Document Recommendation
1/08/19 → 31/07/20
Project: Government Ministry › Ministry of Science and Technology
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Research on Online Recommendation Methods with Cross-Domain Interest Analysis for Integrated Online News and e-Commerce Web Platforms
1/08/18 → 31/07/19
Project: Government Ministry › Ministry of Science and Technology
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A boosting resampling method for regression based on a conditional variational autoencoder
Huang, Y., Liu, D. R., Lee, S. J., Hsu, C. H. & Liu, Y. G., Apr 2022, In: Information sciences. 590, p. 90-105 16 p.Research output: Contribution to journal › Article › peer-review
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A hybrid of XGBoost and aspect-based review mining with attention neural network for user preference prediction
Lai, C. H., Liu, D-R. & Lien, K. S., May 2021, In: International Journal of Machine Learning and Cybernetics. 12, 5, p. 1203–1217Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Air pollution prediction based on factory-aware attentional LSTM neural network
Liu, D. R., Hsu, Y. K., Chen, H. Y. & Jau, H. J., Jan 2021, In: Computing. 103, 1, p. 75-98 24 p.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Air pollution forecasting based on attention-based LSTM neural network and ensemble learning
Liu, D-R., Lee, H. SJ., Huang, Y. & Chiu, C. J., 16 Jun 2020, In: Expert Systems. 37, 3, p. 1-16Research output: Contribution to journal › Article › peer-review
21 Scopus citations -
Integrating collaborative topic modeling and diversity for movie recommendations during news browsing
Liu, D-R., Chou, Y. C. & Jian, C. T., Oct 2020, In: Kybernetes. 49, 11, p. 2633-2649Research output: Contribution to journal › Article › peer-review
1 Scopus citations