A Distributed Lifetime-Maximizing Scheme for Connected Target Coverage in WSNs. - Duc-Tai Le; Thang Le Duc; Hyunseung Choo (ICCSA (3), 2012)

Latency aware Broadcast Scheduling in Duty Cycled wireless sensor networks. - Duc-Tai Le; Thang Le Duc; Vyacheslav V. Zalyubovskiy; Hyunseung Choo (ICOIN, 2013)

On minimizing the broadcast redundancy in duty-cycled wireless sensor networks. - Thang Le Duc; Duc-Tai Le; Hyunseung Choo; Vyacheslav V. Zalyubovskiy; Mihui Kim (ICUIMC, 2013)

LABS: Latency aware broadcast scheduling in uncoordinated Duty-Cycled Wireless Sensor Networks. - Duc-Tai Le; Thang Le Duc; Vyacheslav V. Zalyubovskiy; Dongsoo S. Kim; Hyunseung Choo (J. Parallel Distributed Comput., 2014)

Critical-path aware broadcast scheduling in duty-cycled Wireless Sensor Networks. - Giyeol Im; Duc-Tai Le; Hyunseung Choo; Dongsoo S. Kim (ICOIN, 2015)

A Delay-Driven Switching-Based Broadcasting Scheme in Low-Duty-Cycled Wireless Sensor Networks. - Dung T. Nguyen 001; Vyacheslav V. Zalyubovskiy; Thang Le Duc; Duc-Tai Le; Hyunseung Choo (ICCSA (2), 2016)

Exploring energy-latency trade-off for broadcast in duty-cycled Wireless Sensor Networks. - Duc-Tai Le; Thang Le Duc; Taeho Kong; Vyacheslav V. Zalyubovskiy; Hyunseung Choo (ICOIN, 2016)

A Distributed Scheme for Broadcast Scheduling in Duty-cycled Wireless Sensor Networks. - Thang Le Duc; Duc-Tai Le; Dung T. Nguyen 001; Byung-Seok Kang; Hyunseung Choo; Vyacheslav V. Zalyubovskiy (IMCOM, 2016)

Parameterized Collision Tolerant Scheduling for Broadcast Latency Minimization in Duty-cycled Wireless Sensor Networks. - Duc-Tai Le; Thang Le Duc; Yechan Park; Ho-Jin Hwang; Vyacheslav V. Zalyubovskiy; Hyunseung Choo (IMCOM, 2016)

Delay-sensitive flooding based on expected path quality in low duty-cycled wireless sensor networks. - Dung T. Nguyen 001; Junseong Choe; Thang Le Duc; Duc-Tai Le; Vyacheslav V. Zalyubovskiy; Hyunseung Choo (Int. J. Distributed Sens. Networks, 2016)

Level-based approach for minimum-transmission broadcast in duty-cycled wireless sensor networks. - Thang Le Duc; Duc-Tai Le; Vyacheslav V. Zalyubovskiy; Dongsoo S. Kim; Hyunseung Choo (Pervasive Mob. Comput., 2016)

On Evaluating IoTivity Cloud Platform. - Thien-Binh Dang; Manh-Hung Tran; Duc-Tai Le; Hyunseung Choo (ICCSA (5), 2017)

Towards broadcast redundancy minimization in duty-cycled wireless sensor networks. - Thang Le Duc; Duc-Tai Le; Vyacheslav V. Zalyubovskiy; Dongsoo S. Kim; Hyunseung Choo (Int. J. Commun. Syst., 2017)

Collision-tolerant broadcast scheduling in duty-cycled wireless sensor networks. - Duc-Tai Le; Thang Le Duc; Vyacheslav V. Zalyubovskiy; Dongsoo S. Kim; Hyunseung Choo (J. Parallel Distributed Comput., 2017)

Trend-adaptive multi-scale PCA for data fault detection in IoT networks. - Thien-Binh Dang; Manh-Hung Tran; Duc-Tai Le; Vyacheslav V. Zalyubovskiy; Hyohoon Ahn; Hyunseung Choo (ICOIN, 2018)

Hybrid Noise Reduction for Audio Captured by Drones. - Hyohoon Ahn; Duc-Tai Le; Thien-Binh Dang; Siwon Kim; Hyunseung Choo (IMCOM, 2018)

Delay-aware tree construction and scheduling for data aggregation in duty-cycled wireless sensor networks. - Duc-Tai Le; Taewoo Lee; Hyunseung Choo (EURASIP J. Wirel. Commun. Netw., 2018)

Critical-Path Aware Scheduling for Latency Efficient Broadcast in Duty-Cycled Wireless Sensor Networks. - Duc-Tai Le; Giyeol Im; Thang Le Duc; Vyacheslav V. Zalyubovskiy; Dongsoo S. Kim; Hyunseung Choo (Wirel. Commun. Mob. Comput., 2018)

On Analyzing the Trade-Off Between Over-Commitment Ratio and Quality of Service in NFV Datacenter. - Manh-Hung Tran; Thien-Binh Dang; Van Vi Vo; Duc-Tai Le; Moonseong Kim; Hyunseung Choo (FDSE, 2019)

A Top-Down Scheduling for Time Efficient Data Aggregation in WSNs. - Van Vi Vo; Dung T. Nguyen 001; Duc-Tai Le; Manh-Hung Tran; Moonseong Kim; Hyunseung Choo (FDSE, 2019)

Real-Time Drone Formation Control for Group Display. - Hyohoon Ahn; Duc-Tai Le; Dung T. Nguyen 001; Hyunseung Choo (IMCOM, 2019)

Delay-Aware Reverse Approach for Data Aggregation Scheduling in Wireless Sensor Networks. - Dung T. Nguyen 001; Duc-Tai Le; Moonseong Kim; Hyunseung Choo (Sensors, 2019)

Adaptive Contiguous Scheduling for Data Aggregation in Multichannel Wireless Sensor Networks. - Van Vi Vo; Dung T. Nguyen 001; Duc-Tai Le; Hyunseung Choo (FDSE, 2020)

Next Point-of-Attachment Selection Based on Long Short Term Memory Model in Wireless Networks. - Huigyu Yang; Syed M. Raza; Moonseong Kim; Duc-Tai Le; Van Vi Vo; Hyunseung Choo (IMCOM, 2020)

Break-and-join tree construction for latency-aware data aggregation in wireless sensor networks. - Tien-Dung Nguyen 004; Vyacheslav V. Zalyubovskiy; Duc-Tai Le; Hyunseung Choo (Wirel. Networks, 2020)

Neighboring Information Exploitation for Anomaly Detection in Intelligent IoT. - Thien-Binh Dang; Duc-Tai Le; Moonseong Kim; Hyunseung Choo (FDSE, 2021)

A Prediction-Based Cache Replacement Policy for Flash Storage. - Van-Nguyen Pham; Mwasinga Lusungu Josh; Duc-Tai Le; Sang-Won Lee 001; Hyunseung Choo (FDSE (CCIS Volume), 2021)

Location-Aware Task Offloading for MEC-based High Mobility Service. - Haziq Hamzah; Duc-Tai Le; Moonseong Kim; Hyunseung Choo (ICOIN, 2021)

UAV-aided Sensory Data Aggregation: Incremental Clustering and Scheduling Approach. - Tien-Dung Nguyen 004; Duc-Tai Le; Nguyen Pham-Van; Hyunseung Choo; Tien Pham Van (IMCOM, 2021)

Monotone Split and Conquer for Anomaly Detection in IoT Sensory Data. - Thien-Binh Dang; Duc-Tai Le; Tien-Dung Nguyen 004; Moonseong Kim; Hyunseung Choo (IEEE Internet Things J., 2021)

Fast Sensory Data Aggregation in IoT Networks: Collision-Resistant Dynamic Approach. - Tien-Dung Nguyen 004; Duc-Tai Le; Van Vi Vo; Moonseong Kim; Hyunseung Choo (IEEE Internet Things J., 2021)

Image Denoising Using Fully Connected Network with Reinforcement Learning. - Phuoc-Nguyen Bui; Van Vi Vo; Duc-Tai Le; Hyunseung Choo (FDSE (CCIS Volume), 2022)

Energy Harvesting Aware for Delay-Efficient Data Aggregation in Battery-Free IoT Sensors. - Van Vi Vo; Phuoc-Nguyen Bui; Duc-Tai Le; Hyunseung Choo (FDSE (CCIS Volume), 2022)

Data Aggregation Latency Minimization in Multichannel Duty-cycled WSNs. - Van Vi Vo; Duc-Tai Le; Moonseong Kim; Hyunseung Choo (ICOIN, 2022)

A General Model for Long-short Term Anomaly Generation in Sensory Data. - Thien-Binh Dang; Duc-Tai Le; Moonseong Kim; Hyunseung Choo (IMCOM, 2022)

Multi-modal Fundus Image Registration with Deep Feature Matching and Image Scaling. - Ju-Chan Kim; Duc-Tai Le; Su Jeong Song; Chang-Hwan Son; Hyunseung Choo (IMCOM, 2022)

Towards AI based Ophthalmological Screening through Ultra-widefield Fundus Image to Conventional Fundus Image Translation. - Pham Van Nguyen; Duc-Tai Le; Su Jeong Song; Hyunseung Choo (IMCOM, 2022)

Link-Delay-Aware Reinforcement Scheduling for Data Aggregation in Massive IoT. - Van Vi Vo; Tien Dung Nguyen 004; Duc-Tai Le; Moonseong Kim; Hyunseung Choo (IEEE Trans. Commun., 2022)

Sensory Data Aggregation in Internet of Things: Period-Driven Pipeline Scheduling Approach. - Tien-Dung Nguyen 004; Duc-Tai Le; Hyunseung Choo (IEEE Trans. Mob. Comput., 2022)

Feature Fool Exploitation for Lightweight Anomaly Detection in Respiratory Sound. - Kim-Ngoc Thi Le; Sammy Yap Xiang Bang; Duc-Tai Le; Hyunseung Choo (FDSE, 2023)

PLCD: Policy Learning for Capped Service Mobility Downtime. - Mwasinga Lusungu Josh; Syed M. Raza; Duc-Tai Le; Moonseong Kim; Hyunseung Choo (ICCCN, 2023)

Hand Bone X-rays Segmentation and Congregation for Age Assessment using Deep Learning. - Kyunghee Jung; Toan Duc Nguyen; Duc-Tai Le; Junghyun Bum; Simon S. Woo; Hyunseung Choo (ICOIN, 2023)

Feature Pool Exploitation for Disease Detection in Fundus Images. - Sammy Yap Xiang Bang; Kim-Ngoc Thi Le; Duc-Tai Le; Hyunseung Choo (IMCOM, 2023)

Chest Radiographs Enhancement with Contrast Limited Adaptive Histogram. - Hyeri Lee; Hyunseung Choo; Duc-Tai Le; Junghyun Bum (IMCOM, 2023)

Dual-Branch Neural Networks for Predicting Shared Bikes. - Huigyu Yang; Syed M. Raza; Duc-Tai Le; Dongsoo S. Kim; Hyunseung Choo (IMCOM, 2023)

Attention-Based Multiscale Localization for Bone Age Assessment. - Kyunghee Jung; Toan Duc Nguyen; Duc-Tai Le; Junghyun Bum; Chang-Hwan Son; Hyunseung Choo (ISBI, 2023)

Semi-Supervised Learning With Fact-Forcing for Medical Image Segmentation. - Phuoc-Nguyen Bui; Duc-Tai Le; Junghyun Bum; Seongho Kim; Su Jeong Song; Hyunseung Choo (IEEE Access, 2023)

Attention-Aided Generative Learning for Multi-Scale Multi-Modal Fundus Image Translation. - Van-Nguyen Pham; Duc-Tai Le; Junghyun Bum; Eun Jung Lee; Jong Chul Han; Hyunseung Choo (IEEE Access, 2023)

Minimal Sleep Delay Driven Aggregation Tree Construction in IoT Sensor Networks. - Van Vi Vo; Duc-Tai Le; Hyunseung Choo (CoRR, 2023)

iPaaS: Intelligent Paging as a Service. - Bokkeun Kim; Syed M. Raza; Huigyu Yang; Rajesh Challa; Duc-Tai Le; HyunJun Choi; DongJin Lee; Moonseong Kim; Hyunseung Choo (IEEE Netw., 2023)

RASM: Resource-Aware Service Migration in Edge Computing based on Deep Reinforcement Learning. - Mwasinga Lusungu Josh; Duc-Tai Le; Syed M. Raza; Rajesh Challa; Moonseong Kim; Hyunseung Choo (J. Parallel Distributed Comput., 2023)

Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification. - Dahyun Mok; Junghyun Bum; Duc-Tai Le; Hyunseung Choo (ACCV (2), 2024)

Regional Correlation Aided Mobile Traffic Prediction with Spatiotemporal Deep Learning. - JeongJun Park; Lusungu Josh Mwasinga; Huigyu Yang; Syed M. Raza; Duc-Tai Le; Moonseong Kim; Min Young Chung; Hyunseung Choo (CCNC, 2024)

Sequential Patch Analysis Framework for Lung Disease Classification. - Kim-Ngoc Thi Le; Duc-Tai Le; Hyunseung Choo (FDSE (2), 2024)

Proactive Network Traffic Prediction using Generative Adversarial Network. - Gyurin Byun; Van Vi Vo; Syed M. Raza; Duc-Tai Le; Huigyu Yang; Hyunseung Choo (ICOIN, 2024)

Visual Field Prediction for Fundus Image with Generative AI. - Honggu Kang; Seonghyeon Ko; Ju-Chan Kim; Duc-Tai Le; Junghyun Bum; Jong Chul Han; Hyunseung Choo (IMCOM, 2024)

Rib Segmentation and Sequence Labeling via Biaxial Slicing and 3D Reconstruction. - Hyunsung Kim; Seonghyun Ko; Junghyun Bum; Duc-Tai Le; Hyunseung Choo (IMCOM, 2024)

Deep Predictive User Path-Inclusive Service Mobility in B5G/6G Edge Clouds. - Lusungu Josh Mwasinga; Syed M. Raza; Duc-Tai Le; Moonseong Kim; Min Young Chung; Hyunseung Choo (IMCOM, 2024)

Real-Time Object Detection with IOT Using a Smart Cart. - Muhammad Omer; Sardar Jaffar Ali; Syed Muhammad Raza; Duc-Tai Le; Hyunseung Choo (IMCOM, 2024)

Visual-Textual Matching Attention for Lesion Segmentation in Chest Images. - Phuoc-Nguyen Bui; Duc-Tai Le; Hyunseung Choo (MICCAI (9), 2024)

Graph Neural Networks for IoT Data Aggregation Scheduling. - Van Vi Vo; Syed M. Raza; Duc-Tai Le; Moonseong Kim; Hyunseung Choo (NOMS, 2024)

Layer Decomposition Learning Based on Discriminative Feature Group Split With Bottom-Up Intergroup Feature Fusion for Single Image Deraining. - Yunseon Jang; Duc-Tai Le; Chang-Hwan Son; Hyunseung Choo (IEEE Access, 2024)

Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis. - Phuoc-Nguyen Bui; Duc-Tai Le; Junghyun Bum; Hyunseung Choo (CoRR, 2024)

VEAD: Variance profile Exploitation for Anomaly Detection in real-time IoT data streaming. - Kim-Ngoc Thi Le; Thien-Binh Dang; Duc-Tai Le; Syed M. Raza; Moonseong Kim; Hyunseung Choo (Internet Things, 2024)

Active Neighbor Exploitation for Fast Data Aggregation in IoT Sensor Networks. - Van Vi Vo; Duc-Tai Le; Syed M. Raza; Moonseong Kim; Hyunseung Choo (IEEE Internet Things J., 2024)

Automatic rib segmentation and sequential labeling via multi-axial slicing and 3D reconstruction. - Hyunsung Kim; Seonghyeon Ko; Junghyun Bum; Duc-Tai Le; Hyunseung Choo (Appl. Intell., 2024)

Deep Learning for Drug Response Prediction with Gene Expression Data. - Sardar Jaffar Ali; Muhammad Omer; Duc-Tai Le; Syed M. Raza; Hyunseung Choo (ICOIN, 2025)

NDAS: Noise-Decomposed Abnormal Segmentation for Robust Medical Image Retrieval. - Ju-Chan Kim; Pham Van Nguyen; Duc-Tai Le; Hyunseung Choo (IMCOM, 2025)

Integrating Temporal Analysis with Hybrid Machine Learning and Deep Learning Models for Enhanced Air Quality Prediction. - Muhammad Omer; Sardar Jaffar Ali; Syed M. Raza; Duc-Tai Le; Hyunseung Choo (IMCOM, 2025)

In-time conditional handover for B5G/6G. - Sardar Jaffar Ali; Syed M. Raza; Huigyu Yang; Duc-Tai Le; Rajesh Challa; Moonseong Kim; Hyunseung Choo (Comput. Commun., 2025)

Curated Collaborative AI Edge with Network Data Analytics for B5G/6G Radio Access Networks. - Sardar Jaffar Ali; Syed M. Raza; Duc-Tai Le; Rajesh Challa; Min Young Chung; Ness Shroff; Hyunseung Choo (CoRR, 2025)

Respiratory Anomaly and Disease Detection Using Multi-Level Temporal Convolutional Networks. - Kim-Ngoc Thi Le; Gyurin Byun; Syed M. Raza; Duc-Tai Le; Hyunseung Choo (IEEE J. Biomed. Health Informatics, 2025)