Projects per year
Personal profile
Education
- 2013 PhD, Department of Mathematics, National Taiwan University
Research Interests
- Probability
Experience
- 2014~present Assistant Professor, National Cheng Kung University
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Dive into the research topics where Gi-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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Explore Intrinsic Geometry of Sleep Dynamics and Predict Sleep Stage by Unsupervised Learning Techniques
Liu, G. R., Lo, Y. L., Sheu, Y. C. & Wu, H. T., 2021, Springer Optimization and Its Applications. Springer, p. 279-324 46 p. (Springer Optimization and Its Applications; vol. 168).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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Large-scale assessment of consistency in sleep stage scoring rules among multiple sleep centers using an interpretable machine learning algorithm
Liu, G. R., Lin, T. Y., Wu, H. T., Sheu, Y. C., Liu, C. L., Liu, W. T., Yang, M. C., Ni, Y. L., Chou, K. T., Chen, C. H., Wu, D., Lan, C. C., Chiu, K. L., Chiu, H. Y. & Lo, Y. L., 2021 Feb 1, In: Journal of Clinical Sleep Medicine. 17, 2, p. 159-166 8 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus) -
Diffuse to fuse EEG spectra – Intrinsic geometry of sleep dynamics for classification
Liu, G. R., Lo, Y. L., Malik, J., Sheu, Y. C. & Wu, H. T., 2020 Jan, In: Biomedical Signal Processing and Control. 55, 101576.Research output: Contribution to journal › Article › peer-review
14 Citations (Scopus) -
Save Muscle Information-Unfiltered EEG Signal Helps Distinguish Sleep Stages
Liu, G. R., Lustenberger, C., Lo, Y. L., Liu, W. T., Sheu, Y. C. & Wu, H. T., 2020 Apr 3, In: Sensors (Basel, Switzerland). 20, 7Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Diffusion operators for multimodal data analysis
Shnitzer, T., Lederman, R. R., Liu, G. R., Talmon, R. & Wu, H. T., 2019, Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 2. Kimmel, R. & Tai, X-C. (eds.). Elsevier B.V., p. 1-39 39 p. (Handbook of Numerical Analysis; vol. 20).Research output: Chapter in Book/Report/Conference proceeding › Chapter