Ronald Y. Chang
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View article: Detection and identification of monocular, binocular, and dichoptic stimuli are mediated by binocular sum and difference channels
Detection and identification of monocular, binocular, and dichoptic stimuli are mediated by binocular sum and difference channels Open
How are signals from the two eyes combined? We asked whether the mechanisms that limit detectability of simple binocular and dichoptic stimuli also set the limits for their identification. For example, at low contrasts, can we (a) identify…
View article: Sustainable LSTM-Based Precoding for RIS-Aided mmWave MIMO Systems with Implicit CSI
Sustainable LSTM-Based Precoding for RIS-Aided mmWave MIMO Systems with Implicit CSI Open
In this paper, we propose a sustainable long short-term memory (LSTM)-based precoding framework for reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) MIMO systems. Instead of explicit channel state information (CSI…
View article: DNN-Based Precoding in RIS-Aided mmWave MIMO Systems With Practical Phase Shift
DNN-Based Precoding in RIS-Aided mmWave MIMO Systems With Practical Phase Shift Open
In this paper, the precoding design is investigated for maximizing the throughput of millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems with obstructed direct communication paths. In particular, a reconfigurable intelli…
View article: Deep Reinforcement Learning-Based Precoding for Multi-RIS-Aided Multiuser Downlink Systems With Practical Phase Shift
Deep Reinforcement Learning-Based Precoding for Multi-RIS-Aided Multiuser Downlink Systems With Practical Phase Shift Open
This study considers multiple reconfigurable intelligent surfaces (RISs)-aided multiuser downlink systems with the goal of jointly optimizing the transmitter precoding and RIS phase shift matrix to maximize spectrum efficiency. Unlike prio…
View article: Energy-Efficient Multi-RIS-Aided Rate-Splitting Multiple Access: A Graph Neural Network Approach
Energy-Efficient Multi-RIS-Aided Rate-Splitting Multiple Access: A Graph Neural Network Approach Open
This letter explores energy efficiency (EE) maximization in a downlink multiple-input single-output (MISO) reconfigurable intelligent surface (RIS)-aided multiuser system employing rate-splitting multiple access (RSMA). The optimization ta…
View article: Deep Unfolded Hybrid Beamforming in Reconfigurable Intelligent Surface Aided mmWave MIMO-OFDM Systems
Deep Unfolded Hybrid Beamforming in Reconfigurable Intelligent Surface Aided mmWave MIMO-OFDM Systems Open
This letter considers a millimeter-wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) transceiver system assisted by a reconfigurable intelligent surface (RIS). The goal is to jointly desi…
View article: Graph Neural Network-Based Joint Beamforming for Hybrid Relay and Reconfigurable Intelligent Surface Aided Multiuser Systems
Graph Neural Network-Based Joint Beamforming for Hybrid Relay and Reconfigurable Intelligent Surface Aided Multiuser Systems Open
This study examines a downlink multiple-input single-output (MISO) system, where a base station (BS) with multiple antennas sends data to multiple single-antenna users with the help of a reconfigurable intelligent surface (RIS) and a half-…
View article: Device-Free Target Following with Deep Spatial and Temporal Structures of CSI
Device-Free Target Following with Deep Spatial and Temporal Structures of CSI Open
A novel device-free target tracking and following method is proposed based on both the received signal strength (RSS) and channel state information (CSI) of WiFi signals. Different from the typical device-free target tracking method, we co…
View article: Deep Reinforcement Learning for Energy Efficiency Maximization in Cache-Enabled Cell-Free Massive MIMO Networks: Single- and Multi-Agent Approaches
Deep Reinforcement Learning for Energy Efficiency Maximization in Cache-Enabled Cell-Free Massive MIMO Networks: Single- and Multi-Agent Approaches Open
Cell-free massive multiple-input multiple-output (CF-mMIMO) is an emerging beyond fifth-generation (5 G) technology that improves energy efficiency (EE) and removes cell structure limitation by using multiple access points (APs). This stud…
View article: Efficacy of HEPA Air Cleaner on Improving Indoor Particulate Matter 2.5 Concentration
Efficacy of HEPA Air Cleaner on Improving Indoor Particulate Matter 2.5 Concentration Open
High-efficiency particulate air (HEPA) filters is a potential tool used to remove fine particles and improve indoor air quality. This study aims to analyze the real-world efficacy of portable HEPA air cleaners in a household environment. L…
View article: Sensor Deployment and Link Analysis in Satellite IoT Systems for Wildfire Detection
Sensor Deployment and Link Analysis in Satellite IoT Systems for Wildfire Detection Open
Climate change has been identified as one of the most critical threats to human civilization and sustainability. Wildfires, which produce huge amounts of carbon emission, are both drivers and results of climate change. An early and timely …
View article: Unsupervised Learning Based Hybrid Beamforming with Low-Resolution Phase Shifters for MU-MIMO Systems
Unsupervised Learning Based Hybrid Beamforming with Low-Resolution Phase Shifters for MU-MIMO Systems Open
Millimeter wave (mmWave) is a key technology for fifth-generation (5G) and beyond communications. Hybrid beamforming has been proposed for large-scale antenna systems in mmWave communications. Existing hybrid beamforming designs based on i…
View article: Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor Localization Open
Device-free wireless indoor localization is an essential technology for the Internet of Things (IoT), and fingerprint-based methods are widely used. A common challenge to fingerprint-based methods is data collection and labeling. This pape…
View article: Sensor-Based Satellite IoT for Early Wildfire Detection
Sensor-Based Satellite IoT for Early Wildfire Detection Open
Frequent and severe wildfires have been observed lately on a global scale. Wildfires not only threaten lives and properties, but also pose negative environmental impacts that transcend national boundaries (e.g., greenhouse gas emission and…
View article: Intelligent Reflecting Surfaces and Classical Relays: Coexistence and Co-Design
Intelligent Reflecting Surfaces and Classical Relays: Coexistence and Co-Design Open
This paper investigates a multiuser downlink communication system with coexisting intelligent reflecting surface (IRS) and classical half-duplex decode-and-forward (DF) relay. In this system, the IRS and the DF relay interact with each oth…
View article: Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection
Deep Reinforcement Learning Aided Monte Carlo Tree Search for MIMO Detection Open
This paper proposes a novel multiple-input multiple-output (MIMO) symbol detector that incorporates a deep reinforcement learning (DRL) agent into the Monte Carlo tree search (MCTS) detection algorithm. We first describe how the MCTS algor…
View article: Semi-Supervised Learning with GANs for Device-Free Fingerprinting Indoor Localization
Semi-Supervised Learning with GANs for Device-Free Fingerprinting Indoor Localization Open
Device-free wireless indoor localization is a key enabling technology for the Internet of Things (IoT). Fingerprint-based indoor localization techniques are a commonly used solution. This paper proposes a semi-supervised, generative advers…
View article: Binocular Lustre: Does identification of interocular contrast difference require opposite (light-dark) contrasts in the two eyes?
Binocular Lustre: Does identification of interocular contrast difference require opposite (light-dark) contrasts in the two eyes? Open
Interocular (between-eye) differences in contrast elicit an impression of lustre, a cue to their identification. Recent models of binocular interaction have suggested that interocular differences are easiest to detect if the two eyes’ cont…
View article: Segmentation boosting with compensation methods in optical coherence tomography angiography images
Segmentation boosting with compensation methods in optical coherence tomography angiography images Open
Optical coherence tomography angiography is a noninvasive imaging modality to establish the diagnosis of retinal vascular diseases. However, angiography images are significantly interfered if patients jitter or blink. In this study, a nove…
View article: Semi-Supervised Learning with GANs for Device-Free Fingerprinting Indoor\n Localization
Semi-Supervised Learning with GANs for Device-Free Fingerprinting Indoor\n Localization Open
Device-free wireless indoor localization is a key enabling technology for the\nInternet of Things (IoT). Fingerprint-based indoor localization techniques are\na commonly used solution. This paper proposes a semi-supervised, generative\nadv…
View article: Interpreting Convolutional Neural Networks for Device-Free Wi-Fi Fingerprinting Indoor Localization via Information Visualization
Interpreting Convolutional Neural Networks for Device-Free Wi-Fi Fingerprinting Indoor Localization via Information Visualization Open
In this paper, we propose a convolutional neural network (CNN) model for device-free fingerprinting indoor localization based on Wi-Fi channel state information (CSI). Besides, we develop an interpretation framework to understand the repre…
View article: Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization
Analysis and Visualization of Deep Neural Networks in Device-Free Wi-Fi Indoor Localization Open
Device-free Wi-Fi indoor localization has received significant attention as a\nkey enabling technology for many Internet of Things (IoT) applications. Machine\nlearning-based location estimators, such as the deep neural network (DNN),\ncar…
View article: Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks
Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks Open
In this paper, multi-stream transmission in interference networks aided by multiple amplify-and-forward (AF) relays in the presence of direct links is considered. The objective is to minimize the sum power of transmitters and relays by bea…
View article: Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference\n Networks
Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference\n Networks Open
In this paper, multi-stream transmission in interference networks aided by\nmultiple amplify-and-forward (AF) relays in the presence of direct links is\nconsidered. The objective is to minimize the sum power of transmitters and\nrelays by …
View article: Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks
Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks Open
In this paper, multi-stream transmission in interference networks aided by multiple amplify-and-forward (AF) relays in the presence of direct links is considered. The objective is to minimize the sum power of transmitters and relays by bea…
View article: SOQAS: Distributively Finding High-Quality Answerers in Dynamic Social Networks
SOQAS: Distributively Finding High-Quality Answerers in Dynamic Social Networks Open
Compared with community-based question answering systems and modern search engines, social network-based question answering systems are more efficient in addressing non-factual questions. In such systems, askers search answerers among thei…
View article: A Smartphone-Based Multi-Functional Hearing Assistive System to Facilitate Speech Recognition in the Classroom
A Smartphone-Based Multi-Functional Hearing Assistive System to Facilitate Speech Recognition in the Classroom Open
In this paper, we propose a smartphone-based hearing assistive system (termed SmartHear) to facilitate speech recognition for various target users, who could benefit from enhanced listening clarity in the classroom. The SmartHear system co…
View article: Mandarin Tone and Vowel Recognition in Cochlear Implant Users: Effects of Talker Variability and Bimodal Hearing
Mandarin Tone and Vowel Recognition in Cochlear Implant Users: Effects of Talker Variability and Bimodal Hearing Open
Objectives: For cochlear implant (CI) users with residual low-frequency acoustic hearing in the nonimplanted ear, bimodal hearing combining the use of a CI and a contralateral hearing aid (HA) may provide more salient talker voice cues tha…