Organization
Research and Development Initiative Institute Associate Professor
Contact information
The inquiry by e-mail is 《here》
External link
Le Xuan Hien
Degree
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Ph.D. in Constructional Disaster Prevention and Environmental Engineering ( Kyungpook National Universty )
Education
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2020.8
Kyungpook National University Department of Constructional Disaster Prevention and Environmental Engineering doctor course graduated
Research History
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2024.6 - Now
Chuo University Research and Development Initiative Associate Professor
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2023.5 - 2024.4
Kyungpook National University Department of Advanced Science and Technology Convergence Post-Doctoral Researcher
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2020.9 - 2023.4
Kyungpook National University Disaster Prevention Emergency Management Institute Post-Doctoral Researcher
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2012.9 - 2017.8
Thuyloi University Division of Hydraulic, Faculty of Water Resources Engineering Lecturer
Research Interests
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Hydrology, Machine Learning, Deep Learning, Flood forecasting, Precipitation bias correction, Landslides
Research Areas
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Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Hydroengineering
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Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Disaster prevention engineering
Papers
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Xuan-Hien Le, Chanul Choi, Song Eu, Minho Yeon, Giha Lee
Frontiers in Environmental Science 12 2024.7
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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 2024.7
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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 2024.7
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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 2024.2
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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 ) 2024.1
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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 2023.12
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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 2023.4
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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 2023.2
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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
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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
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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 ) 2022.6
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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
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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 ) 2020.9
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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
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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 2024.11
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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
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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
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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
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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 2023.8
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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 ) 2023.3
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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 ) 2023.2
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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 2023.2
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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 ) 2023.1
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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 2022.11
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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 ) 2022.3
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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 2022.3
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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 2021.12
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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 ) 2021.11
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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 ) 2021.10
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Classification of Soil Creep Hazard Class Using Machine Learning International journal
Xuan-Hien Le
Journal of Korean Society of Disaster and Security 2021.9
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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 2021.7
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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
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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
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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
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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 2019.12