DeepAI

Kyung Hee University

∙ Seoul , Korea, Republic of ∙ 0 followers

KHU Global Campus Student Dormitory LLC provides student accomodation. The Company offers studio-style dormitory, including department store and cafeteria services.

Featured Researchers

Choong Seon Hong
59 publications
Quoc-Viet Pham
38 publications
Nguyen H. Tran
26 publications
Seong Tae Kim
23 publications
Minseok Choi
18 publications
Yan Kyaw Tun
16 publications
Sung-Ho Bae
12 publications
Md. Shirajum Munir
8 publications
Sabah Suhail
8 publications
Yu Min Park
7 publications
Tien-Dung Nguyen
7 publications

∙ 02/20/2020

Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems

The stringent requirements of mobile edge computing (MEC) applications a...

Md. Shirajum Munir, et al. ∙

∙ 08/02/2021

Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging

In this paper, the design of a rational decision support system (RDSS) f...

Md. Shirajum Munir, et al. ∙

∙ 07/16/2019

An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis

Network compression for deep neural networks has become an important par...

Kang-Ho Lee, et al. ∙

∙ 03/21/2022

Longitudinal Self-Supervision for COVID-19 Pathology Quantification

Quantifying COVID-19 infection over time is an important task to manage ...

Tobias Czempiel, et al. ∙

∙ 10/18/2022

WaGI : Wavelet-based GAN Inversion for Preserving High-frequency Image Details

Recent GAN inversion models focus on preserving image-specific details t...

Seung Jun Moon, et al. ∙

∙ 08/30/2018

Artifacts Detection and Error Block Analysis from Broadcasted Videos

With the advancement of IPTV and HDTV technology, previous subtle errors...

Md. Mehedi Hasan, et al. ∙

∙ 07/11/2019

Hybrid Residual Attention Network for Single Image Super Resolution

The extraction and proper utilization of convolution neural network (CNN...

Abdul Muqeet, et al. ∙

∙ 02/21/2020

Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach

In this paper, we design a navigation policy for multiple unmanned aeria...

Sarder Fakhrul Abedin, et al. ∙

∙ 02/05/2022

Blue Data Computation Maximization in 6G Space-Air-Sea Non-Terrestrial Networks

Non-terrestrial networks (NTN), encompassing space and air platforms, ar...

Sheikh Salman Hassan, et al. ∙

∙ 01/26/2022

An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery

One of the core envisions of the sixth-generation (6G) wireless networks...

Md. Shirajum Munir, et al. ∙

∙ 10/19/2021

PR-CIM: a Variation-Aware Binary-Neural-Network Framework for Process-Resilient Computation-in-memory

Binary neural networks (BNNs) that use 1-bit weights and activations hav...

Minh-Son Le, et al. ∙

∙ 02/07/2022

3TO: THz-Enabled Throughput and Trajectory Optimization of UAVs in 6G Networks by Proximal Policy Optimization Deep Reinforcement Learning

Next-generation networks need to meet ubiquitous and high data-rate dema...

Sheikh Salman Hassan, et al. ∙

∙ 03/11/2022

An Efficient Video Streaming Architecture with QoS Control for Virtual Desktop Infrastructure in Cloud Computing

In virtual desktop infrastructure (VDI) environments, the remote display...

Huu-Quoc Nguyen, et al. ∙

∙ 03/18/2022

SWIPT-enabled NOMA in Distributed Antenna System with Imperfect Channel State Information for Max-Sum-Rate and Max-Min Fairness

Motivated by the fact that the data rate of non-orthogonal multiple acce...

Dongjae Kim, et al. ∙

∙ 10/09/2021

Predicting decision-making in the future: Human versus Machine

Deep neural networks (DNNs) have become remarkably successful in data pr...

Hoe Sung Ryu, et al. ∙

∙ 02/19/2022

Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications

Although deep learning (DL) has already become a state-of-the-art techno...

Yunseok Kwak, et al. ∙

∙ 04/29/2022

AoI-Aware Markov Decision Policies for Caching

We consider a scenario that utilizes road side units (RSUs) as distribut...

Soohyun Park, et al. ∙

∙ 10/03/2021

Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans

Consistent segmentation of COVID-19 patient's CT scans across multiple t...

Michelle Xiao-Lin Foo, et al. ∙

∙ 07/14/2022

Physics-Based Nozzle Design Rules for High-Frequency Liquid Metal Jetting

We present physics-based nozzle design rules to achieve high-throughput ...

Jongmin Seo, et al. ∙

∙ 06/05/2022

Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification

As deep neural networks achieve unprecedented performance in various tas...

Youngkee Kim, et al. ∙

∙ 07/23/2021

Unrealistic Feature Suppression for Generative Adversarial Networks

Due to the unstable nature of minimax game between generator and discrim...

Sanghun Kim, et al. ∙

∙ 07/25/2022

Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning

The availability of large labeled datasets is the key component for the ...

Felix Buchert, et al. ∙

∙ 09/22/2022

IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion

Recently, manipulation of real-world images has been highly elaborated a...

Seungjun Moon, et al. ∙

∙ 10/04/2022

Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles

To support rapid and accurate autonomous driving services, road environm...

Soohyun Park, et al. ∙

∙ 10/13/2022

Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network

Explainable artificial intelligence (XAI) twin systems will be a fundame...

Md. Shirajum Munir, et al. ∙

∙ 10/28/2022

Federated Learning with Intermediate Representation Regularization

In contrast to centralized model training that involves data collection,...

Ye Lin Tun, et al. ∙

∙ 10/28/2022

Federated Learning based Energy Demand Prediction with Clustered Aggregation

To reduce negative environmental impacts, power stations and energy grid...

Ye Lin Tun, et al. ∙

∙ 11/01/2022

Additive Schwarz algorithms for neural network approximate solutions

Additive Schwarz algorithms are proposed as an iterative procedure for n...

Hee Jun Yang, et al. ∙

∙ 11/22/2022

Implicit Inverse Force Identification Method of Acoustic Liquid-structure Interaction Finite Element Model

The two-field vibroacoustic finite-element (FE) model requires a relativ...

Seungin Oh, et al. ∙

∙ 11/22/2022

Real-time response estimation of structural vibration with inverse force identification

This study aimed to develop a virtual sensing algorithm of structural vi...

Seungin Oh, et al. ∙

∙ 12/16/2022

SplitGP: Achieving Both Generalization and Personalization in Federated Learning

A fundamental challenge to providing edge-AI services is the need for a ...

Dong-Jun Han, et al. ∙

∙ 12/17/2019

Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing

This letter studies an ultra-reliable low latency communication problem ...

Sadeep Batewela, et al. ∙

∙ 03/02/2018

Decentralized Computation Offloading and Resource Allocation in Heterogeneous Networks with Mobile Edge Computing

We consider a heterogeneous network with mobile edge computing, where a ...

Quoc-Viet Pham, et al. ∙

∙ 05/11/2018

Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes

In recent years, reinforcement learning has achieved many remarkable suc...

Le Pham Tuyen, et al. ∙

∙ 12/28/2018

Center Emphasized Visual Saliency and Contrast-based Full Reference Image Quality Index

Objective Image Quality Assessment (IQA) is imperative in this multimedi...

Md Abu Layek, et al. ∙

∙ 02/05/2019

eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach

Ultra Reliable Low Latency Communication (URLLC) is a 5G New Radio (NR) ...

Madyan Alsenwi, et al. ∙

∙ 02/12/2019

Orchestrating Product Provenance Story: When IOTA ECOSYSTEM Meets The Electronics Supply Chain Space

"Trustworthy data" is the fuel for ensuring the transparent traceability...

Sabah Suhail, et al. ∙

∙ 06/25/2019

New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms

Some conventional transforms such as Discrete Walsh-Hadamard Transform (...

Joonhyun Jeong, et al. ∙

∙ 08/01/2019

Learning-Driven Wireless Communications, towards 6G

The fifth generation (5G) of wireless communication is in its infancy, a...

Md. Jalil Piran, et al. ∙

∙ 09/11/2019

Edge Computing Enabled Smart Cities: A Comprehensive Survey

Recent years have disclosed a remarkable proliferation of compute-intens...

Latif U. Khan, et al. ∙

∙ 09/24/2019

Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches

This work exploits the advantages of two prominent techniques in future ...

Khai Nguyen Doan, et al. ∙

∙ 10/02/2019

On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation

Reconfigurable intelligent surfaces (RISs) have recently emerged as a pr...

Minchae Jung, et al. ∙

∙ 11/06/2019

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

Recent years have witnessed a rapid proliferation of smart Internet of T...

Latif U. Khan, et al. ∙

∙ 10/04/2021

Optimal hybrid parameter selection for stable sequential solution of inverse heat conduction problem

To deal with the ill-posed nature of the inverse heat conduction problem...

C. Ahn, et al. ∙

∙ 01/22/2020

Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication

Vehicle-to-everything (V2X) communication is a growing area of communica...

Hamza Khan, et al. ∙

∙ 03/10/2020

Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks

uRLLC and eMBB are two influential services of the emerging 5G cellular ...

Anupam Kumar Bairagi, et al. ∙

∙ 04/22/2020

On the Role of Hash-based Signatures in Quantum-Safe Internet of Things: Current Solutions and Future Directions

The Internet of Things (IoT) is gaining ground as a pervasive presence a...

Sabah Suhail, et al. ∙

∙ 07/27/2020

Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective

COVID-19 is a global epidemic. Till now, there is no remedy for this epi...

Anupam Kumar Bairagi, et al. ∙

∙ 11/05/2020

Video Big Data Analytics in the Cloud: Research Issues and Challenges

On the rise of distributed computing technologies, video big data analyt...

Aftab Alam, et al. ∙

∙ 12/10/2020

A Practical Approach towards Causality Mining in Clinical Text using Active Transfer Learning

Objective: Causality mining is an active research area, which requires t...

Musarrat Hussain, et al. ∙