Ph.D. Students
Email: p78121069(at)gs.ncku.edu.tw
博四 (112學年度入學)
Email: p76131199(at)gs.ncku.edu.tw
博一 (115學年度入學)
Master Students
碩二
Email: p76144126(at)gs.ncku.edu.tw
Email: p76141259(at)gs.ncku.edu.tw
Email: p76141047(at)gs.ncku.edu.tw
Email: p76141152(at)gs.ncku.edu.tw
碩一
Email: p76151432(at)gs.ncku.edu.tw
Email: p76151327(at)gs.ncku.edu.tw
Email: p76151571(at)gs.ncku.edu.tw
Email: p76151416(at)gs.ncku.edu.tw
Graduated
Master Students
(2023) 洪浩凱, Deployment Strategies of Intelligent Reflecting Surface in 6G
(2023) 謝侑融, Minimizing User Weighted Turnaround Time based on Deep Reinforcement Learning for Planning Trajectory of UAV-assisted Mobile Network
(2024) 陳奕岑 Personalized Federated Learning with Layer-wise Model Calibration for Heterogeneous Data
(2024) 黃禹翔 Sequential Knowledge Distillation Federated Learning for D2D Communication Underlaying Cellular Networks
(2024) 劉晉宏 Irregular Intelligent Reflecting Surface Topology Design by Using Multi-Objective Genetic Algorithm
(2024) 賴右騰 Hierarchical Federated Learning based on Data Heterogeneity in Mobile Networks
(2025) 郭培德 Reflection Coefficient Adjustment in Hybrid IRS Using Power-Constrained Gradient Ascent
(2025) 廖聲樺 AVFL-PreDM: Adaptive Vertical Federated Learning with Pretrained Diffusion Models on Non-IID Data
(2025) 薛翔宇 SD-pFLAC: Adaptive Collaborative Training for Semi-Decentralized Personalized Federated Learning on Non-IID Data
(2026.01) 陳宜謙 User Grouping Strategy for Mobility-Induced Blockage in IRS-Assisted Communication Systems
(2026.01) 鄒泓均 GGA-Based Element Selection and Grouping for Irregular BD-IRS with Spatial Correlation
(2026.01) 郭冠甫 BSAFL: Enhancing Participation Fairness via Banzhaf PowerIndex in Semi-Asynchronous Federated Learning with Heterogeneous Data
(2026.07) 王奕婕 CommGAT-HFL: A Communication-Efficient Hierarchical Federated Learning Framework via Contrastive Graph Attention Clustering
(2026.07) 陳致翰 Active-Passive Double-RIS Deployment for Coverage Extension in Dense Urban Environments
(2026.07) 鄭欣璽 A Decoupled Federated Meta-Learning for Efficient Cold-Start Adaptation in Dynamic Edge Networks