712 citations · 2.4k across the 67 of their papers we have counts for
5 papers · 1 filter
Fast Graph Subset Selection Based on G-optimal Design
Zhengpin Li, Zheng Wei, Jian Wang +2
Graph sampling theory extends the traditional sampling theory to graphs with topological structures. As a key part of the graph sampling theory, subset selection chooses nodes on g…
Semantic Feature Extraction for Generalized Zero-shot Learning
Junhan Kim, Kyuhong Shim, Byonghyo Shim
Generalized zero-shot learning (GZSL) is a technique to train a deep learning model to identify unseen classes using the attribute. In this paper, we put forth a new GZSL technique…
Energy-Efficient Ultra-Dense Network with Deep Reinforcement Learning
Hyungyu Ju, Seungnyun Kim, Youngjoon Kim +1
With the explosive growth in mobile data traffic, ultra-dense network (UDN) where a large number of small cells are densely deployed on top of macro cells has received a great deal…
Gradual Federated Learning with Simulated Annealing
Luong Trung Nguyen, Junhan Kim, Byonghyo Shim
Federated averaging (FedAvg) is a popular federated learning (FL) technique that updates the global model by averaging local models and then transmits the updated global model to d…
Deep Learning-based Beam Tracking for Millimeter-wave Communications under Mobility
Sun Hong Lim, Sunwoo Kim, Byonghyo Shim +1
In this paper, we propose a deep learning-based beam tracking method for millimeter-wave (mmWave)communications. Beam tracking is employed for transmitting the known symbols using…