33 citations · 51 across the 16 of their papers we have counts for
16 papers
End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen +4
Full 3D human pose reconstruction is a critical enabler for extended reality (XR) applications in future sixth generation (6G) networks, supporting immersive interactions in gaming…
Point Cloud Compression with Bits-back Coding
Nguyen Quang Hieu, Minh Nguyen, Dinh Thai Hoang +2
This paper introduces a novel lossless compression method for compressing geometric attributes of point cloud data with bits-back coding. Our method specializes in using a deep lea…
A Lightweight Human Pose Estimation Approach for Edge Computing-Enabled Metaverse with Compressive Sensing
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen
The ability to estimate 3D movements of users over edge computing-enabled networks, such as 5G/6G networks, is a key enabler for the new era of extended reality (XR) and Metaverse…
Enabling Technologies for Web 3.0: A Comprehensive Survey
Md Arif Hassan, Mohammad Behdad Jamshidi, Bui Duc Manh +9
Web 3.0 represents the next stage of Internet evolution, aiming to empower users with increased autonomy, efficiency, quality, security, and privacy. This evolution can potentially…
Reconstructing Human Pose from Inertial Measurements: A Generative Model-based Compressive Sensing Approach
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen +1
The ability to sense, localize, and estimate the 3D position and orientation of the human body is critical in virtual reality (VR) and extended reality (XR) applications. This beco…
A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey
Howe Yuan Zhu, Nguyen Quang Hieu, Dinh Thai Hoang +2
The growing interest in the Metaverse has generated momentum for members of academia and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique, conti…
An approach to extract information from academic transcripts of HUST
Nguyen Quang Hieu, Nguyen Le Quy Duong, Le Quang Hoa +1
In many Vietnamese schools, grades are still being inputted into the database manually, which is not only inefficient but also prone to human error. Thus, the automation of this pr…
Enhancing Immersion and Presence in the Metaverse with Over-the-Air Brain-Computer Interface
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen +3
This article proposes a novel framework that utilizes an over-the-air Brain-Computer Interface (BCI) to learn Metaverse users' expectations. By interpreting users' brain activities…
Toward BCI-enabled Metaverse: A Joint Learning and Resource Allocation Approach
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen +1
Toward user-driven Metaverse applications with fast wireless connectivity and tremendous computing demand through future 6G infrastructures, we propose a Brain-Computer Interface (…
When Virtual Reality Meets Rate Splitting Multiple Access: A Joint Communication and Computation Approach
Nguyen Quang Hieu, Diep N. Nguyen, Dinh Thai Hoang +1
Rate Splitting Multiple Access (RSMA) has emerged as an effective interference management scheme for applications that require high data rates. Although RSMA has shown advantages i…
Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks with Covert Communications
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato +3
Rate Splitting Multiple Access (RSMA) has recently emerged as a promising technique to enhance the transmission rate for multiple access networks. Unlike conventional multiple acce…
Defeating Eavesdroppers with Ambient Backscatter Communications
Nguyen Van Huynh, Nguyen Quang Hieu, Nam H. Chu +3
Unlike conventional anti-eavesdropping methods that always require additional energy or computing resources (e.g., in friendly jamming and cryptography-based solutions), this work…
Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato +1
This letter introduces a novel framework to optimize the power allocation for users in a Rate Splitting Multiple Access (RSMA) network. In the network, messages intended for users…
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato +3
Autonomous Vehicles (AVs) are required to operate safely and efficiently in dynamic environments. For this, the AVs equipped with Joint Radar-Communications (JRC) functions can enh…
iRDRC: An Intelligent Real-time Dual-functional Radar-Communication System for Automotive Vehicles
Nguyen Quang Hieu, Dinh Thai Hoang, Nguyen Cong Luong +1
This letter introduces an intelligent Real-time Dual-functional Radar-Communication (iRDRC) system for autonomous vehicles (AVs). This system enables an AV to perform both radar an…
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong +3
Blockchain-enabled Federated Learning (BFL) enables mobile devices to collaboratively train neural network models required by a Machine Learning Model Owner (MLMO) while keeping da…