New Automatic Modulation Classifier Using Cyclic-Spectrum Graphs With Optimal Training Features. - Xiao Yan 001; Guannan Liu 001; Hsiao-Chun Wu; Guoyu Feng (IEEE Commun. Lett., 2018)

Automatic modulation classification in α-stable noise using graph-based generalized second-order cyclic spectrum analysis. - Xiao Yan 001; Guoyu Zhang; Hsiao-Chun Wu; Guannan Liu 001 (Phys. Commun., 2019)

Indoor Object Localization and Tracking Using Deep Learning over Received Signal Strength. - Guannan Liu 001; Hsiao-Chun Wu; Weidong Xiang; Jinwei Ye; Yiyan Wu 001; Limeng Pu (BMSB, 2020)

Robust Modulation Classification Over $ alpha$-Stable Noise Using Graph-Based Fractional Lower-Order Cyclic Spectrum Analysis. - Xiao Yan 001; Guannan Liu 001; Hsiao-Chun Wu; Guoyu Zhang; Qian Wang 027; Yiyan Wu 001 (IEEE Trans. Veh. Technol., 2020)

Novel Indoor Device-Free Human Tracking Using Learning Systems with Hidden Markov Models. - Guannan Liu 001; Prasanga Neupane; Hsiao-Chun Wu; Weidong Xiang; Jinwei Ye; Limeng Pu; Shih Yu Chang; Yiyan Wu 001; Kun Yan (BMSB, 2021)

Novel Device-Free Indoor Human Localization using Wireless Radio-Frequency Fingerprinting. - Prasanga Neupane; Guannan Liu 001; Hsiao-Chun Wu; Weidong Xiang; Shih Yu Chang; Yiyan Wu 001 (BMSB, 2021)

GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data. - Guannan Liu 001; Manali Singha; Limeng Pu; Prasanga Neupane; Joseph Feinstein; Hsiao-Chun Wu; J. Ramanujam; Michal Brylinski (J. Cheminformatics, 2021)

Automatic Human Posture Recognition Using Kinect Sensors by Advanced Graph Convolutional Network. - Guannan Liu 001; Rende Xie; Hsiao-Chun Wu; Shih-Hau Fang; Kun Yan; Yiyan Wu 001; Shih Yu Chang (BMSB, 2022)

Novel Robust Indoor Device-Free Moving-Object Localization and Tracking Using Machine Learning With Kalman Filter and Smoother. - Guannan Liu 001; Prasanga Neupane; Hsiao-Chun Wu; Weidong Xiang; Limeng Pu; Shih Yu Chang (IEEE Syst. J., 2022)

Fine-Tuning Optimization of Small Language Models: A Novel Graph-Theoretical Approach for Efficient Prompt Engineering. - Venkata Gadiraju; Hao-Yu Tsai; Hsiao-Chun Wu; Manali Singha; Scott Chih-Hao Huang; Guannan Liu 001; Shih Yu Chang; Yiyan Wu 001 (BMSB, 2024)

Novel Graph-Theoretical Multiple Access-Point/Router Deployment Approach for Full Line-of-Sight Coverage Over Arbitrary Indoor Polygonal/Prismatic Areas. - Venkata Gadiraju; Hsiao-Chun Wu; Hao-Yu Tsai; Scott C.-H. Huang; Costas Busch; Prasanga Neupane; Guannan Liu 001; Shih Yu Chang (IEEE Trans. Commun., 2024)

Novel Biological Prompting Technology: Automatic Directional Control by Eye-Tracking Sensor. - Guannan Liu 001; Justin Wang; Hsiao-Chun Wu; Gaojian Huang; Anil Kumar; Yiyan Wu 001; Shih Yu Chang; Yue Luo (BMSB, 2025)

Radio-Frequency-Based Unmanned-Aerial-Vehicle Identification Using Cyclic-Paw-Print. - Xiao Yan 001; Minghui Zhao; Qian Wang 027; Hsiao-Chun Wu; Guannan Liu 001; Yiyan Wu 001 (BMSB, 2025)

Toward AI Standardization: A Triadic Human-AI Collaboration Framework for Multi-Level Autonomous Mobility. - Gaojian Huang; Wei-Hsiang Lo; Guannan Liu 001; Yue Luo; Yantong Jin (CAI, 2025)

TASE-Net: A Novel Robust Deep-Learning Network for Open-Set Few-Shot UAV Recognition. - Xiao Yan 001; Bo Wang; Hsiao-Chun Wu; Guannan Liu 001; Qian Wang 027; Xinyue Qiao (IEEE Internet Things J., 2025)

Robust Multichannel Decorrelation via Tensor Einstein Product. - Shih-Yu Chang; Hsiao-Chun Wu; Guannan Liu 001 (IEEE Trans. Signal Process., 2025)