Guannan Liu

Assistant Professor

San Jose State University

United States

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About

Dr. Guannan Liu is an Assistant Professor at San Jose State University, located in the United States. His research areas include machine learning, human-posture recognition systems, indoor occupancy counting, and drug-target interactions. He is particularly focused on developing advanced algorithms and models for smart energy management and device-free indoor localization.

Articles (8)

Year:

2025

Year:

2024

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (1)

Michal Brylinski

Louisiana State University

UNITED STATES

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Guannan Liu

Research Interests

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About

Articles (8)

Smart Green Energy Management for Campus: An Integrated Machine Learning and Reinforcement Learning Model

Novel Human-Posture Recognition System Based on Advanced Graph Convolutional Network Using Skeletal Data

Novel Robust On-Line Indoor Occupancy Counting System Using mmWave Radar

Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother

GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data

Novel Cascade Classifier Using Multiresolution Progressive Learning for Device-Free Indoor Localization

Novel Optimal Multisensor Placement for Indoor Rectilinear Line-of-Sight Coverage

Robust Modulation Classification Over $\alpha$-Stable Noise Using Graph-Based Fractional Lower-Order Cyclic Spectrum Analysis

Collaborators (1)

Michal Brylinski

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