Guannan Liu
Orcid: 0000-0001-5548-9040Affiliations:
- San Jose State University, San Jose, CA, USA
According to our database1,
Guannan Liu
authored at least 16 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IEEE Trans. Signal Process., 2025
TASE-Net: A Novel Robust Deep-Learning Network for Open-Set Few-Shot UAV Recognition.
IEEE Internet Things J., 2025
Toward AI Standardization: A Triadic Human-AI Collaboration Framework for Multi-Level Autonomous Mobility.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2025
Novel Biological Prompting Technology: Automatic Directional Control by Eye-Tracking Sensor.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2025
2024
Novel Graph-Theoretical Multiple Access-Point/Router Deployment Approach for Full Line-of-Sight Coverage Over Arbitrary Indoor Polygonal/Prismatic Areas.
IEEE Trans. Commun., September, 2024
Fine-Tuning Optimization of Small Language Models: A Novel Graph-Theoretical Approach for Efficient Prompt Engineering.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2024
2022
Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother.
IEEE Syst. J., 2022
Automatic Human Posture Recognition Using Kinect Sensors by Advanced Graph Convolutional Network.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022
2021
GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data.
J. Cheminformatics, 2021
Novel Device-Free Indoor Human Localization using Wireless Radio-Frequency Fingerprinting.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021
Novel Indoor Device-Free Human Tracking Using Learning Systems with Hidden Markov Models.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2021
2020
Robust Modulation Classification Over $\alpha$-Stable Noise Using Graph-Based Fractional Lower-Order Cyclic Spectrum Analysis.
IEEE Trans. Veh. Technol., 2020
Indoor Object Localization and Tracking Using Deep Learning over Received Signal Strength.
Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2020
2019
Automatic modulation classification in α-stable noise using graph-based generalized second-order cyclic spectrum analysis.
Phys. Commun., 2019
2018
New Automatic Modulation Classifier Using Cyclic-Spectrum Graphs With Optimal Training Features.
IEEE Commun. Lett., 2018