2025/06/06 更新

写真a

レ　スアン　ヒエン
Le Xuan Hien
Le Xuan Hien
所属
研究開発機構 機構准教授
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学位

  • Ph.D. in Constructional Disaster Prevention and Environmental Engineering （ 慶北大学校 ）

学歴

  • 2020年8月
     

    慶北大学校   建設防災環境工学科   博士   卒業

経歴

  • 2024年6月 - 現在

    中央大学   研究開発機構

  • 2023年5月 - 2024年4月

    Kyungpook National University   Department of Advanced Science and Technology Convergence   Post-Doctoral Researcher

  • 2020年9月 - 2023年4月

    Kyungpook National University   Disaster Prevention Emergency Management Institute   Post-Doctoral Researcher

  • 2012年9月 - 2017年8月

    Thuyloi University   Division of Hydraulic, Faculty of Water Resources Engineering   Lecturer

研究キーワード

  • Hydrology, Machine Learning, Deep Learning, Flood forecasting, Precipitation bias correction, Landslides

研究分野

  • 社会基盤（土木・建築・防災） / 水工学

  • 社会基盤（土木・建築・防災） / 防災工学

論文

  • Quantitative evaluation of uncertainty and interpretability in machine learning-based landslide susceptibility mapping through feature selection and explainable AI

    Xuan-Hien Le, Chanul Choi, Song Eu, Minho Yeon, Giha Lee

    Frontiers in Environmental Science   12   2024年7月

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    担当区分：筆頭著者   掲載種別：研究論文（学術雑誌）   出版者・発行元：Frontiers Media SA  

    Landslide susceptibility mapping (LSM) is essential for determining risk regions and guiding mitigation strategies. Machine learning (ML) techniques have been broadly utilized, but the uncertainty and interpretability of these models have not been well-studied. This study conducted a comparative analysis and uncertainty assessment of five ML algorithms—Random Forest (RF), Light Gradient-Boosting Machine (LGB), Extreme Gradient Boosting (XGB), K-Nearest Neighbor (KNN), and Support Vector Machine (SVM)—for LSM in Inje area, South Korea. We optimized these models using Bayesian optimization, a method that refines model performance through probabilistic model-based tuning of hyperparameters. The performance of these algorithms was evaluated using accuracy, Kappa score, and F1 score, with accuracy in detecting landslide-prone locations ranging from 0.916 to 0.947. Among them, the tree-based models (RF, LGB, XGB) showed competitive performance and outperformed the other models. Prediction uncertainty was quantified using bootstrapping and Monte Carlo simulation methods, with the latter providing a more consistent estimate across models. Further, the interpretability of ML predictions was analyzed through sensitivity analysis and SHAP values. We also expanded our investigation to include both the inclusion and exclusion of predictors, providing insights into each significant variable through a comprehensive sensitivity analysis. This paper provides insights into the predictive uncertainty and interpretability of ML algorithms for LSM, contributing to future research in South Korea and beyond.

    DOI： 10.3389/fenvs.2024.1424988

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  • Quantifying Predictive Uncertainty and Feature Selection in River Bed Load Estimation: A Multi-Model Machine Learning Approach with Particle Swarm Optimization

    Xuan-Hien Le, Trung Tin Huynh, Mingeun Song, Giha Lee

    Water   2024年7月

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    担当区分：筆頭著者,　責任著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.3390/w16141945

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  • Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at sluice outlets

    Xuan-Hien Le, Le Thi Thu Hien, Hung Viet Ho, Giha Lee

    Journal of Hydroinformatics   2024年7月

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    担当区分：筆頭著者,　責任著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.2166/hydro.2024.297

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  • Improving rainfall-runoff modeling in the Mekong river basin using bias-corrected satellite precipitation products by convolutional neural networks

    Xuan Hien Le, Younghun Kim, Doan Van Binh, Sungho Jung, Duc Hai Nguyen, Giha Lee

    Journal of Hydrology   630   2024年2月

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    担当区分：筆頭著者,　責任著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.1016/j.jhydrol.2024.130762

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  • Predicting maximum scour depth at sluice outlet: a comparative study of machine learning models and empirical equations

    Xuan Hien Le, Le Thi Thu Hien

    Environmental Research Communications   6 ( 1 )   2024年1月

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    担当区分：筆頭著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.1088/2515-7620/ad1f94

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  • Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study

    Xuan Hien Le, Duc Hai Nguyen, Sungho Jung, Giha Lee

    Earth Science Informatics   16 ( 4 )   3113 - 3124   2023年12月

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    担当区分：筆頭著者,　責任著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.1007/s12145-023-01082-9

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  • Towards an efficient streamflow forecasting method for event-scales in Ca River basin, Vietnam

    Xuan Hien Le, Linh Nguyen Van, Giang V. Nguyen, Duc Hai Nguyen, Sungho Jung, Giha Lee

    Journal of Hydrology: Regional Studies   46   2023年4月

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    担当区分：筆頭著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.1016/j.ejrh.2023.101328

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  • Comparison of bias-corrected multisatellite precipitation products by deep learning framework

    Xuan Hien Le, Linh Nguyen Van, Duc Hai Nguyen, Giang V. Nguyen, Sungho Jung, Giha Lee

    International Journal of Applied Earth Observation and Geoinformation   116   2023年2月

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    担当区分：筆頭著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.1016/j.jag.2022.103177

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  • Performance Comparison of Bias-Corrected Satellite Precipitation Products by Various Deep Learning Schemes

    Xuan Hien Le, Duc Hai Nguyen, Giha Lee

    IEEE Transactions on Geoscience and Remote Sensing   61   2023年

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    担当区分：筆頭著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.1109/TGRS.2023.3299234

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  • Machine learning for high-resolution landslide susceptibility mapping: case study in Inje County, South Korea

    Xuan Hien Le, Song Eu, Chanul Choi, Duc Hai Nguyen, Minho Yeon, Giha Lee

    Frontiers in Earth Science   11   2023年

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    担当区分：筆頭著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.3389/feart.2023.1268501

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  • Multi-step-ahead water level forecasting for operating sluice gates in Hai Duong, Vietnam

    Hung Viet Ho, Duc Hai Nguyen, Xuan Hien Le, Giha Lee

    Environmental Monitoring and Assessment   194 ( 6 )   2022年6月

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    担当区分：筆頭著者,　責任著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.1007/s10661-022-10115-7

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  • Comparison of Deep Learning Techniques for River Streamflow Forecasting

    Xuan Hien Le, Duc Hai Nguyen, Sungho Jung, Minho Yeon, Giha Lee

    IEEE Access   9   71805 - 71820   2021年

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    担当区分：筆頭著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.1109/ACCESS.2021.3077703

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  • Application of convolutional neural network for spatiotemporal bias correction of daily satellite-based precipitation

    Xuan Hien Le, Giha Lee, Kwansue Jung, Hyun Uk An, Seungsoo Lee, Younghun Jung

    Remote Sensing   12 ( 17 )   2020年9月

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    担当区分：筆頭著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.3390/RS12172731

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  • Application of Long Short-Term Memory (LSTM) neural network for flood forecasting

    Xuan Hien Le, Hung Viet Ho, Giha Lee, Sungho Jung

    Water (Switzerland)   11 ( 7 )   2019年

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    担当区分：筆頭著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.3390/w11071387

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  • Advanced hybrid techniques for predicting discharge coefficients in ogee-crested spillways: integrating physical, numerical, and machine learning models

    Le Thi Thu Hien, Nguyen Van Chien, Le Xuan-Hien

    Environmental Research Communications   2024年11月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.1088/2515-7620/ad8a24

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  • Evaluating the Performance of Light Gradient Boosting Machine in Merging Multiple Satellite Precipitation Products Over South Korea

    Giang V. Nguyen, Xuan Hien Le, Linh Nguyen Van, Sungho Jung, Chanul Choi, Giha Lee

    Lecture Notes in Civil Engineering   344 LNCE   513 - 522   2024年

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    掲載種別：研究論文（国際会議プロシーディングス）  

    DOI： 10.1007/978-981-99-2345-8_52

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  • Use of Disdrometer Dataset to Detect Kinetic Energy Expenditure and Rainfall Intensity Relationships

    Linh Nguyen Van, Xuan Hien Le, Giang V. Nguyen, Minho Yeon, Younghoon Kim, Giha Lee

    Lecture Notes in Civil Engineering   344 LNCE   503 - 511   2024年

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    掲載種別：研究論文（国際会議プロシーディングス）  

    DOI： 10.1007/978-981-99-2345-8_51

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  • National variability in soil organic carbon stock predictions: Impact of bulk density pedotransfer functions

    May Thi Tuyet Do, Linh Nguyen Van, Xuan Hien Le, Giang V. Nguyen, Minho Yeon, Giha Lee

    International Soil and Water Conservation Research   2024年

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.1016/j.iswcr.2024.04.002

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  • Machine learning approaches for reconstructing gridded precipitation based on multiple source products

    Giang V. Nguyen, Xuan Hien Le, Linh Nguyen Van, Do Thi Tuyet May, Sungho Jung, Giha Lee

    Journal of Hydrology: Regional Studies   48   2023年8月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.1016/j.ejrh.2023.101475

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  • Enhancing Contrast of Dark Satellite Images Based on Fuzzy Semi-Supervised Clustering and an Enhancement Operator

    Nguyen Tu Trung, Xuan Hien Le, Tran Manh Tuan

    Remote Sensing   15 ( 6 )   2023年3月

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    担当区分：責任著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.3390/rs15061645

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  • A Novel Framework for Correcting Satellite-Based Precipitation Products for Watersheds with Discontinuous Observed Data, Case Study in Mekong River Basin

    Giha Lee, Duc Hai Nguyen, Xuan Hien Le

    Remote Sensing   15 ( 3 )   2023年2月

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    担当区分：責任著者   掲載種別：研究論文（学術雑誌）  

    DOI： 10.3390/rs15030630

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  • Comparison of rainfall-runoff performance based on various gridded precipitation datasets in the Mekong River basin

    Younghun Kim, Xuan Hien Le, Sungho Jung, Minho Yeon, Giha Lee

    Journal of Korea Water Resources Association   56 ( 2 )   75 - 89   2023年2月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.3741/JKWRA.2023.56.2.75

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  • Evaluation of Numerous Kinetic Energy-Rainfall Intensity Equations Using Disdrometer Data

    Linh Nguyen Van, Xuan Hien Le, Giang V. Nguyen, Minho Yeon, May Thi Tuyet Do, Giha Lee

    Remote Sensing   15 ( 1 )   2023年1月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.3390/rs15010156

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  • Comprehensive relationships between kinetic energy and rainfall intensity based on precipitation measurements from an OTT Parsivel2 optical disdrometer

    Linh Nguyen Van, Xuan Hien Le, Giang V. Nguyen, Minho Yeon, Do Thi Tuyet May, Giha Lee

    Frontiers in Environmental Science   10   2022年11月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.3389/fenvs.2022.985516

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  • RainPredRNN: A New Approach for Precipitation Nowcasting with Weather Radar Echo Images Based on Deep Learning

    Do Ngoc Tuyen, Tran Manh Tuan, Xuan Hien Le, Nguyen Thanh Tung, Tran Kim Chau, Pham Van Hai, Vassilis C. Gerogiannis, Le Hoang Son

    Axioms   11 ( 3 )   2022年3月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.3390/axioms11030107

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  • Hourly streamflow forecasting using a Bayesian additive regression tree model hybridized with a genetic algorithm

    Duc Hai Nguyen, Xuan Hien Le, Duong Tran Anh, Seon Ho Kim, Deg Hyo Bae

    Journal of Hydrology   606   2022年3月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.1016/j.jhydrol.2022.127445

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  • Application of deep learning method for decision making support of dam release operation

    Sungho Jung, Xuan Hien Le, Yeonsu Kim, Hyungu Choi, Giha Lee

    Journal of Korea Water Resources Association   54 ( S-1 )   1095 - 1105   2021年12月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.3741/JKWRA.2021.54.S-1.1095

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  • Investigating behavior of six methods for sediment transport capacity estimation of spatial-temporal soil erosion

    Linh Nguyen Van, Xuan Hien Le, Giang V. Nguyen, Minho Yeon, Sungho Jung, Giha Lee

    Water (Switzerland)   13 ( 21 )   2021年11月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.3390/w13213054

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  • Application of random forest algorithm for merging multiple satellite precipitation products across South Korea

    Giang V. Nguyen, Xuan Hien Le, Linh Nguyen Van, Sungho Jung, Minho Yeon, Giha Lee

    Remote Sensing   13 ( 20 )   2021年10月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.3390/rs13204033

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  • Classification of Soil Creep Hazard Class Using Machine Learning 国際誌

    Xuan-Hien Le

    Journal of Korean Society of Disaster and Security   2021年9月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.21729/KSDS.2021.14.3.17

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  • Application of convolutional autoencoder for spatiotemporal bias-correction of radar precipitation

    Sungho Jung, Sungryul Oh, Daeeop Lee, Xuan Hien Le, Giha Lee

    Journal of Korea Water Resources Association   54 ( 7 )   453 - 462   2021年7月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.3741/JKWRA.2021.54.7.453

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  • Development of an Extreme Gradient Boosting Model Integrated with Evolutionary Algorithms for Hourly Water Level Prediction

    Duc Hai Nguyen, Xuan Hien Le, Jae Yeong Heo, Deg Hyo Bae

    IEEE Access   9   125853 - 125867   2021年

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.1109/ACCESS.2021.3111287

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  • River Water Level Prediction Based on Deep Learning: Case Study on the Geum River, South Korea

    Xuan Hien Le, Sungho Jung, Minho Yeon, Giha Lee

    Lecture Notes in Civil Engineering   145 LNCE   319 - 325   2021年

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    担当区分：筆頭著者,　責任著者   掲載種別：研究論文（国際会議プロシーディングス）  

    DOI： 10.1007/978-981-16-0053-1_40

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  • Application of gated recurrent unit (Gru) network for forecasting river water levels affected by tides

    Xuan Hien Le, Hung Viet Ho, Giha Lee

    APAC 2019 - Proceedings of the 10th International Conference on Asian and Pacific Coasts   673 - 680   2020年

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    担当区分：筆頭著者,　責任著者   掲載種別：研究論文（国際会議プロシーディングス）  

    DOI： 10.1007/978-981-15-0291-0_92

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  • River streamflow prediction using a deep neural network: a case study on the Red River, Vietnam

    Xuan-Hien Le

    Korean Journal of Agricultural Science   2019年12月

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    掲載種別：研究論文（学術雑誌）  

    DOI： 10.7744/KJOAS.20190068

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