activity
20172023
most citedLow-Rank Matrix Completion: A Contemporary Survey

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Semantic-Preserving Augmentation for Robust Image-Text Retrieval

Sunwoo Kim, Kyuhong Shim, Luong Trung Nguyen +1

Image text retrieval is a task to search for the proper textual descriptions of the visual world and vice versa. One challenge of this task is the vulnerability to input image and…

cs.LG2021★ 1 cited

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…

cs.IT2019★ 1 cited

Joint Sparse Recovery Using Signal Space Matching Pursuit

Junhan Kim, Jian Wang, Luong Trung Nguyen +1

In this paper, we put forth a new joint sparse recovery algorithm called signal space matching pursuit (SSMP). The key idea of the proposed SSMP algorithm is to sequentially invest…

cs.DS2019★ 2 cited

Low-Rank Matrix Completion: A Contemporary Survey

Luong Trung Nguyen, Junhan Kim, Byonghyo Shim

As a paradigm to recover unknown entries of a matrix from partial observations, low-rank matrix completion (LRMC) has generated a great deal of interest. Over the years, there have…

cs.IT2017★ 1 cited

Matrix Completion Based Localization in the Internet of Things Network

Luong Trung Nguyen, Junhan Kim, Sangtae Kim +1

In order to make a proper reaction to the collected information from internet of things (IoT) devices, location information of things should be available at the data center. One ch…