全部科研成果

  • scFNSA: A Factorized Node-Set Attentive Framework for Single-Cell Multi-Omics Integration

    Journal of Chemical Information and Modeling, 66, 5558-5572

    Shoujia Jiang, Junliang Shang, Defu Qiu, Hanxiang Wang, Jin-Xing Liu · 2026

  • TumorNet: A hybrid lightweight framework for brain tumor classification and reasoning

    Information Sciences, 746, 123423

    Hanxiang Wang, Muhammad Zaqeem, Muhammad Fayaz, Defu Qiu, Sajjad Ahadzadeh, Tan N. Nguyen, L. Minh Dang · 2026

  • SpaVGMC: A Unified Representation Learning Framework via Structural and Semantic Alignment in Spatial Transcriptomics

    Journal of Chemical Information and Modeling, 66, 7320-7335

    Aitian Fan, Junliang Shang, Xiaohan Zhang, Wenjing Su, Defu Qiu, Hanxiang Wang, Jin-Xing Liu · 2026

  • Prediction of multicategory miRNA-disease associations based on bidirectional hypergraph attention network and gated convolutional strategy

    Journal of Computer-Aided Molecular Design, 40, 131

    Yan Sun, Xiaoqi Tang, Junliang Shang, Hanxiang Wang, Defu Qiu, Yuanke Zhang, Jin-Xing Liu · 2026

  • MsDGCN: multi-scale diffusion graph convolutional network for the prediction of drug-disease association

    Journal of Computer-Aided Molecular Design, 40, 98

    Xiaotong Kong, Yan Sun, Junliang Shang, Xiaohan Zhang, Xiaoqi Tang, Hanxiang Wang, Defu Qiu, Yuanke Zhang, Jin-Xing Liu · 2026

  • Drone-Based High-Precision Object Detection in Remote Sensing with Attention-Guided Feature Fusion

    Tsinghua Science and Technology, 31, 1263-1281

    Hanxiang Wang, Yanfen Li, Yuanke Zhang, Junliang Shang, Guangshun Li, Liem Dinh-Tien, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon · 2026

  • DHGCMDA: a dual-view heterogeneous graph contrastive learning framework for miRNA-disease association type prediction

    BMC Bioinformatics, 27, 100

    Yan Sun, Fanyu Zhang, Shijia Yan, Xiaotong Kong, Hanxiang Wang, Junliang Shang, Jin-Xing Liu · 2026

  • Community detection based on community structure enhancement and multi-objective particle swarm optimization

    International Journal of Data Science and Analytics, 22, 145

    Yan Sun, Fanyu Zhang, Mingyuan Bi, Junliang Shang, Defu Qiu, Hanxiang Wang, Jin-Xing Liu · 2026

  • Boosting Low-Light sewer defect detection via Illumination-Aware lightweight YOLO framework

    Measurement, 120548

    Yanfen Li, Hanxiang Wang, Yuanke Zhang, Junliang Shang, Guangshun Li, L. Minh Dang · 2026

  • Transformer-based detection of abnormal rice growth using drone-based multispectral imaging

    Computers and Electronics in Agriculture, 239, 111055

    Yanfen Li, L. Minh Dang, Hanxiang Wang, Muhammad Fayaz, Sufyan Danish, Junliang Shang, Hyoung-Kyu Song, Hyeonjoon Moon · 2025

  • Residual-like multi-kernel block and dynamic attention for deep neural networks

    Engineering Applications of Artificial Intelligence, 148, 110456

    Hanxiang Wang, Yanfen Li, Tan N. Nguyen, L. Minh Dang · 2025

  • Masked autoencoder-based vision framework for robust fire detection in complex environments

    Process Safety and Environmental Protection, 203, 108019

    Hanxiang Wang, Muhammad Fayaz, Awais Ahmad, Yanfen Li, Tan N. Nguyen, L. Minh Dang · 2025

  • End-to-end plant disease detection using transformers with collaborative hybrid assignment trainings

    Applied Soft Computing, 186, 114137

    Yanfen Li, Muhammad Fayaz, Sufyan Danish, Lilia Tightiz, Hanxiang Wang, Tan N. Nguyen, L. Minh Dang · 2025

  • DSCN-Net: domain-specific contrastive network for unsupervised low-dose CT denoising

    Neurocomputing, 651, 130919

    Rui Zhang, Yuanke Zhang, Yanfei Guo, Hanxiang Wang, Bingbing Wei, Fei Ma, Jing Meng, Jianlei Liu, Hongbing Lu, Yang Chen · 2025

  • CT-Denoimer: efficient contextual transformer network for low-dose CT denoising

    Physics in Medicine & Biology, 70, 115024

    Yuanke Zhang, Fan Xu, Rui Zhang, Yanfei Guo, Hanxiang Wang, Bingbing Wei, Fei Ma, Jing Meng, Jianlei Liu, Hongbing Lu, Yang Chen · 2025

  • PD-TR: End-to-end plant diseases detection using a transformer

    Computers and Electronics in Agriculture, 224, 109123

    Hanxiang Wang, Tri-Hai Nguyen, Tan N. Nguyen, L. Minh Dang · 2024

  • Computer vision for plant disease recognition: a comprehensive review

    The Botanical Review, 90, 251-311

    Minh Dang, Hanxiang Wang, Yanfen Li, Tri-Hai Nguyen, Lilia Tightiz, Nguyen Xuan-Mung, Tan N. Nguyen · 2024

  • An efficient attention module for instance segmentation network in pest monitoring

    Computers and Electronics in Agriculture, 195, 106853

    Hanxiang Wang, Yanfen Li, L. Minh Dang, Hyeonjoon Moon · 2024

  • ORCNN-X: Attention-driven multiscale network for detecting small objects in complex aerial scenes

    Remote Sensing, 15, 3497

    Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon · 2023

  • Lightweight pixel-level semantic segmentation and analysis for sewer defects using deep learning

    Construction and Building Materials, 371, 130792

    L. Minh Dang, Hanxiang Wang, Yanfen Li, Le Quan Nguyen, Tan N. Nguyen, Hyoung-Kyu Song, Hyeonjoon Moon · 2023

  • Enhanced solo-based instance segmentation algorithm for efficient plant growth assessment: A radish case study

    Korean Society of Broadcast Engineers Conference, 274-277

    Wenqi Zhang, L. Minh Dang, Yanfen Li, Hanxiang Wang, Sujin Lee, Hyeonjoon Moon · 2023

  • Deep learning based underground sewer defect classification using a modified RegNet

    Computers, Materials, & Continua, 75, 5455

    Yu Chen, ASMS Sagar, Hanxiang Wang, Yanfen Li, L. Dang, Hyoung-Kyu Song, Hyeonjoon Moon · 2023

  • CDD-TR: Automated concrete defect investigation using an improved deformable transformers

    Journal of Building Engineering, 75, 106976

    Minh Dang, Hanxiang Wang, Tri-Hai Nguyen, Lilia Tightiz, Liem Dinh Tien, Tan N. Nguyen, Ngoc Phi Nguyen · 2023

  • Attention-guided multiscale neural network for defect detection in sewer pipelines

    Computer-Aided Civil and Infrastructure Engineering, 38, 2163-2179

    Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon · 2023

  • Deep-learning-based tunnel crack measurement and diagnosis robust to environmental change

    Korean Conference on Next-generation Computing, 387-390

    L. Minh Dang, Chanmi Oh, Yanfen Li, Hanxiang Wang, Chang-Jae Chun, Hyeonjoon Moon · 2022

  • Vision-based defect inspection and condition assessment for sewer pipes: A comprehensive survey

    Sensors, 22, 2722

    Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon · 2022

  • Facial landmark detection with learnable connectivity graph convolutional network

    IEEE Access, 10, 94354-94362

    Le Quan Nguyen, Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon · 2022

  • Explainable artificial intelligence: a comprehensive review

    Artificial Intelligence Review, 55, 3503-3568

    Minh Dang, Hanxiang Wang, Yanfen Li, Tan N. Nguyen · 2022

  • DefectTR: End-to-end defect detection for sewage networks using a transformer

    Construction and Building Materials, 325, 126584

    L. Minh Dang, Hanxiang Wang, Yanfen Li, Tan N. Nguyen, Hyeonjoon Moon · 2022

  • Deep learning-based masonry crack segmentation and real-life crack length measurement

    Construction and Building Materials, 359, 129438

    L. Minh Dang, Hanxiang Wang, Yanfen Li, Le Quan Nguyen, Tan N. Nguyen, Hyoung-Kyu Song, Hyeonjoon Moon · 2022

  • Daily and seasonal heat usage patterns analysis in heat networks

    Scientific Reports, 12, 9165

    L. Minh Dang, Sujin Lee, Yanfen Li, Chanmi Oh, Tan N. Nguyen, Hyoung-Kyu Song, Hyeonjoon Moon · 2022

  • Automatic tunnel lining crack evaluation and measurement using deep learning

    Tunnelling and Underground Space Technology, 124, 104472

    L. Minh Dang, Hanxiang Wang, Yanfen Li, Yesul Park, Chanmi Oh, Tan N. Nguyen, Hyeonjoon Moon · 2022

  • A robust instance segmentation framework for underground sewer defect detection

    Measurement, 190, 110727

    Yanfen Li, Hanxiang Wang, L. Minh Dang, Md. Jalil Piran, Hyeonjoon Moon · 2022

  • Robust Korean license plate recognition based on deep neural networks

    Sensors, 21, 4140

    Hanxiang Wang, Yanfen Li, L. Minh Dang, Hyeonjoon Moon · 2021

  • Pixel-level tunnel crack segmentation using a weakly supervised annotation approach

    Computers in Industry, 133, 103545

    Hanxiang Wang, Yanfen Li, L. Minh Dang, Sujin Lee, Hyeonjoon Moon · 2021

  • Intra CTU depth decision for HEVC by using neural networks

    International Workshop on Advanced Imaging Technology (IWAIT) 2021, 11766, 605-609

    Yanfen Li, Hanxiang Wang, L. Minh Dang, Khawar Islam, Hae Kwang Kim · 2021

  • Deep learning-based sewer defect classification for highly imbalanced dataset

    Computers & Industrial Engineering, 161, 107630

    L. Minh Dang, SeonJae Kyeong, Yanfen Li, Hanxiang Wang, Tan N. Nguyen, Hyeonjoon Moon · 2021

  • Smartphone-based bulky waste classification using convolutional neural networks

    Multimedia Tools and Applications, 79, 29411-29431

    Hanxiang Wang, Yanfen Li, L. Minh Dang, Jaesung Ko, Dongil Han, Hyeonjoon Moon · 2020

  • Sensor-based and vision-based human activity recognition: A comprehensive survey

    Pattern Recognition, 108, 107561

    L. Minh Dang, Kyungbok Min, Hanxiang Wang, Md. Jalil Piran, Cheol Hee Lee, Hyeonjoon Moon · 2020

  • HEVC intra prediction mode classification by deep learning

    International Workshop on Advanced Imaging Technology (IWAIT) 2020, 11515, 246-250

    Hanxiang Wang, Yanfen Li, L. Minh Dang, Hae Kwang Kim · 2020

  • Fusarium wilt of radish detection using RGB and near infrared images from Unmanned Aerial Vehicles

    Remote Sensing, 12, 2863

    L. Minh Dang, Hanxiang Wang, Yanfen Li, Kyungbok Min, Jin Tae Kwak, O. Lee, Hanyong Park, Hyeonjoon Moon · 2020

  • Crop pest recognition in natural scenes using convolutional neural networks

    Computers and Electronics in Agriculture, 169, 105174

    Yanfen Li, Hanxiang Wang, L. Minh Dang, Abolghasem Sadeghi-Niaraki, Hyeonjoon Moon · 2020

  • A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving

    IEEE Access, 8, 194228-194239

    Yanfen Li, Hanxiang Wang, L. Minh Dang, Tan N. Nguyen, Dongil Han, Ahyun Lee, Insung Jang, Hyeonjoon Moon · 2020

  • Object classification for domestic waste based on Convolutional neural networks

    Proceedings of the Korean Society of Broadcast Engineers Conference, 83-86

    Junyoung Nam, Christine Lee, Asif Ashraf Patankar, Hanxiang Wang, Yanfen Li, Hyeonjoon Moon · 2019

  • 基于仿生视觉动态感知的农作物病害检测方法研究与应用

    国家自然科学基金青年项目,2502271

    王瀚祥 · 2026

  • 基于感知损失函数与轻量化自适应的农作物病害检测方法

    中国发明专利,202511559089.X

    王瀚祥等 · 2025

  • 国家建设高水平大学公派研究生项目资助

    国家留学基金委

    王瀚祥 · 2021