A New Model for Stock Price Movements Prediction Using Deep Neural Network. - Huy D. Huynh; Lien Minh Dang; Duc Duong (SoICT, 2017)

Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network. - Dang Lien Minh; Abolghasem Sadeghi-Niaraki; Huynh Duc Huy; Kyungbok Min; Hyeonjoon Moon (IEEE Access, 2018)

Utilizing text recognition for the defects extraction in sewers CCTV inspection videos. - Lien Minh Dang; Ibrahim Hassan; Suhyeon Im; Irfan Mehmood; Hyeonjoon Moon (Comput. Ind., 2018)

Face image manipulation detection based on a convolutional neural network. - Lien Minh Dang; Ibrahim Hassan; Suhyeon Im; Hyeonjoon Moon (Expert Syst. Appl., 2019)

A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving. - Yanfen Li; Hanxiang Wang; Lien Minh Dang; Tan N. Nguyen; Dongil Han; Ahyun Lee; Insung Jang; Hyeonjoon Moon (IEEE Access, 2020)

Crop pest recognition in natural scenes using convolutional neural networks. - Yanfen Li; Hanxiang Wang; Lien Minh Dang; Abolghasem Sadeghi-Niaraki; Hyeonjoon Moon (Comput. Electron. Agric., 2020)

Smartphone-based bulky waste classification using convolutional neural networks. - Hanxiang Wang; Yanfen Li; Lien Minh Dang; Jaesung Ko; Dongil Han; Hyeonjoon Moon (Multim. Tools Appl., 2020)

Sensor-based and vision-based human activity recognition: A comprehensive survey. - Lien Minh Dang; Kyungbok Min; Hanxiang Wang; Md. Jalil Piran; Cheol Hee Lee; Hyeonjoon Moon (Pattern Recognit., 2020)

Fusarium Wilt of Radish Detection Using RGB and Near Infrared Images from Unmanned Aerial Vehicles. - Lien Minh Dang; Hanxiang Wang; Yanfen Li; Kyungbok Min; Jin Tae Kwak; O. New Lee; Hanyong Park; Hyeonjoon Moon (Remote. Sens., 2020)

UAV based wilt detection system via convolutional neural networks. - Lien Minh Dang; Syed Ibrahim Hassan; Suhyeon Im; Arun Kumar Sangaiah; Irfan Mehmood; Seungmin Rho; Sanghyun Seo; Hyeonjoon Moon (Sustain. Comput. Informatics Syst., 2020)

Deep Learning-Based Short Story Generation for an Image Using the Encoder-Decoder Structure. - Kyungbok Min; Lien Minh Dang; Hyeonjoon Moon (IEEE Access, 2021)

Deep learning-based sewer defect classification for highly imbalanced dataset. - Lien Minh Dang; SeonJae Kyeong; Yanfen Li; Hanxiang Wang; Tan N. Nguyen; Hyeonjoon Moon (Comput. Ind. Eng., 2021)

Pixel-level tunnel crack segmentation using a weakly supervised annotation approach. - Hanxiang Wang; Yanfen Li; Lien Minh Dang; Sujin Lee; Hyeonjoon Moon (Comput. Ind., 2021)

Image Compression with Recurrent Neural Network and Generalized Divisive Normalization. - Khawar Islam; Lien Minh Dang; Sujin Lee; Hyeonjoon Moon (CoRR, 2021)

Robust Korean License Plate Recognition Based on Deep Neural Networks. - Hanxiang Wang; Yanfen Li; Lien Minh Dang; Hyeonjoon Moon (Sensors, 2021)

Facial Landmark Detection With Learnable Connectivity Graph Convolutional Network. - Le Quan Nguyen; Van Dung Pham; Yanfen Li; Hanxiang Wang; Lien Minh Dang; Hyoung-Kyu Song 001; Hyeonjoon Moon (IEEE Access, 2022)

Robust Sewer Defect Detection With Text Analysis Based on Deep Learning. - Chanmi Oh; Lien Minh Dang; Dongil Han; Hyeonjoon Moon (IEEE Access, 2022)

An efficient attention module for instance segmentation network in pest monitoring. - Hanxiang Wang; Yanfen Li; Lien Minh Dang; Hyeonjoon Moon (Comput. Electron. Agric., 2022)

Vision-Based Defect Inspection and Condition Assessment for Sewer Pipes: A Comprehensive Survey. - Yanfen Li; Hanxiang Wang; Lien Minh Dang; Hyoung-Kyu Song 001; Hyeonjoon Moon (Sensors, 2022)

Wheat Diseases Recognition Using Optimal Features Assisted Modified Soft Attention Network. - Muhammad Nadeem; Aqib Khan; Ji-Won Kim; Lien Minh Dang; Hyeonjoon Moon (ICTC, 2023)

ORCNN-X: Attention-Driven Multiscale Network for Detecting Small Objects in Complex Aerial Scenes. - Yanfen Li; Hanxiang Wang; Lien Minh Dang; Hyoung-Kyu Song 001; Hyeonjoon Moon (Remote. Sens., 2023)

Attention-guided multiscale neural network for defect detection in sewer pipelines. - Yanfen Li; Hanxiang Wang; Lien Minh Dang; Hyoung-Kyu Song 001; Hyeonjoon Moon (Comput. Aided Civ. Infrastructure Eng., 2023)

TD3-Based Optimization Framework for RSMA-Enhanced UAV-Aided Downlink Communications in Remote Areas. - Tri-Hai Nguyen; Luong Vuong Nguyen; Lien Minh Dang; Vinh Truong Hoang; Laihyuk Park (Remote. Sens., 2023)

Metaverse Applications in Bioinformatics: A Machine Learning Framework for the Discrimination of Anti-Cancer Peptides. - Sufyan Danish; Asfandyar Khan; Lien Minh Dang; Mohammed Alonazi; Sultan Alanazi; Hyoung-Kyu Song 001; Hyeonjoon Moon (Inf., 2024)

Background debiased class incremental learning for video action recognition. - Le Quan Nguyen; Jinwoo Choi; Lien Minh Dang; Hyeonjoon Moon (Image Vis. Comput., 2024)

Enhancing land cover classification via deep ensemble network. - Muhammad Fayaz; Lien Minh Dang; Hyeonjoon Moon (Knowl. Based Syst., 2024)

BayesNet: Enhancing UAV-Based Remote Sensing Scene Understanding with Quantifiable Uncertainties. - A. S. M. Sharifuzzaman Sagar; Jawad Tanveer; Yu Chen; Lien Minh Dang; Amir Haider; Hyoung-Kyu Song 001; Hyeonjoon Moon (Remote. Sens., 2024)

Deep Learning Approaches for Continuous Sign Language Recognition: A Comprehensive Review. - Asma Khan; Seyong Jin; Geon-Hee Lee; Gul E. Arzu; Lien Minh Dang; Tan N. Nguyen; Woong Choi; Hyeonjoon Moon (IEEE Access, 2025)

Residual-like multi-kernel block and dynamic attention for deep neural networks. - Hanxiang Wang; Yanfen Li; Tan N. Nguyen; Lien Minh Dang (Eng. Appl. Artif. Intell., 2025)

DLAN: A dual attention network for effective land cover classification in remote sensing. - Muhammad Fayaz; Lien Minh Dang; Hyeonjoon Moon (Knowl. Based Syst., 2025)

Deep learning based radish and leaf segmentation for phenotype trait measurement. - Nur Alam; A. S. M. Sharifuzzaman Sagar; Lien Minh Dang; Wenqi Zhang; Hanyong Park; Hyeonjoon Moon (Signal Image Video Process., 2025)

A comprehensive study on enhanced QR extraction techniques with deep learning-based verification. - Nur Alam; A. S. M. Sharifuzzaman Sagar; Wenqi Zhang; Taicheng Jin; Arailym Dosset; Lien Minh Dang; Hyeonjoon Moon (Appl. Intell., 2025)

A comprehensive survey of Vision-Language Models: Pretrained models, fine-tuning, prompt engineering, adapters, and benchmark datasets. - Sufyan Danish; Abolghasem Sadeghi-Niaraki; Samee Ullah Khan; Lien Minh Dang; Lilia Tightiz; Hyeonjoon Moon (Inf. Fusion, 2026)