Projects per year
Personal profile
Research Interests
Data Mining、Recommender Systems、Intelligent Data Analysis
Education/Academic qualification
PhD, Computer Science, University of Minnesota Twin Cities
External positions
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Collaborations and top research areas from the last five years
Projects
- 17 Finished
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Research on Deep Learning Models for Tag Recommendation based on Topics, Popular Search Terms and Group Articles
Liu, D.-R. (PI)
1/08/22 → 31/07/23
Project: Government Ministry › Other Government Ministry Institute
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Research on Deep Learning Models for Tag Recommendation based on Topics, Popular Search Terms and Group Articles
Liu, D.-R. (PI)
1/08/21 → 31/07/22
Project: Government Ministry › Other Government Ministry Institute
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Research on Deep Learning and Generative Adversarial Network Models for Document Recommendation
Liu, D.-R. (PI)
1/08/20 → 31/07/21
Project: Government Ministry › Other Government Ministry Institute
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Research on Deep Learning and Generative Adversarial Network Models for Document Recommendation
Liu, D.-R. (PI)
1/08/19 → 31/07/20
Project: Government Ministry › Other Government Ministry Institute
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Research on Online Recommendation Methods with Cross-Domain Interest Analysis for Integrated Online News and e-Commerce Web Platforms
Liu, D.-R. (PI)
1/08/18 → 31/07/19
Project: Government Ministry › Other Government Ministry Institute
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News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks
Liu, D. R., Huang, Y., Jhao, J. J. & Lee, S. J., 29 Jan 2024, In: Data Technologies and Applications. 58, 1, p. 24-41 18 p.Research output: Contribution to journal › Article › peer-review
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Power Peak Load Forecasting Based on Deep Time Series Analysis Method
Hung, Y. C. & Liu, D. R., 1 Jul 2024, In: IEICE Transactions on Information and Systems. E107.D, 7, p. 845-856 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Hybrid Generative Adversarial Networks for News Recommendation
Liu, D. R., Huang, Y., Tseng, C. Y. & Lee, S. J., Nov 2023, In: Journal of Information Science and Engineering. 39, 6, p. 1437-1457 21 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Talent recommendation based on attentive deep neural network and implicit relationships of resumes
Huang, Y., Liu, D. R. & Lee, S. J., Jul 2023, In: Information Processing and Management. 60, 4, 103357.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
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
12 Scopus citations