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1
Deep Signal Compression with Feature Representation Learning.
Deep Signal Compression with Feature Representation Learning.
Liu, Bowen.Electrical and Computer Engineering. | University of Michigan. | 2024
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2
To Overcome Limitations of Computer Vision Datasets.
To Overcome Limitations of Computer Vision Datasets.
Liu, Bo.Electrical and Computer Engineering. | University of California, San Diego. | 2021
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3
Bayesian Structured Variable Selection Methods with Overlaps.
Bayesian Structured Variable Selection Methods with Overlaps.
Liu, Bowen. | North Carolina State University. | 2021
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4
IRT Branching Models for Individual Differences in Dual-Processing Theory of Reading Comprehension
IRT Branching Models for Individual Differences in Dual-Processing Theory of Reading Comprehension
Liu, Bowen. | University of Minnesota | 2020
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5
Statistical Learning for Networks with Node Features
Statistical Learning for Networks with Node Features
Liu, Boang. | University of Michigan | 2019
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6
Machine Learning for Small Molecule Lead Optimization
Machine Learning for Small Molecule Lead Optimization
Liu, Bowen. | Stanford University | 2020
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7
Construction of fat1 Gene Expression Vector and Its Catalysis Efficiency in Bovine Fetal Fibroblast Cells
Construction of fat1 Gene Expression Vector and Its Catalysis Efficiency in Bovine Fetal Fibroblast Cells
Liu Boyang | 아시아·태평양 축산학회 | 2012
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8
Analysis of Nonlocal Effects in Turbulence Closures With Application to Wall-Bounded Flows.
Analysis of Nonlocal Effects in Turbulence Closures With Application to Wall-Bounded Flows.
Jessie Liu. | Stanford University. | 2024
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9
Advances in Numerical Methods for Partial Differential Equations and Optimization.
Advances in Numerical Methods for Partial Differential Equations and Optimization.
Liu, Xinyu. | Purdue University. | 2024
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10
Design of Highly Dynamic Robot Platforms.
Design of Highly Dynamic Robot Platforms.
Liu, Yeting.Mechanical Engineering 0330. | University of California, Los Angeles. | 2024
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