Kuolin Hsu

According to our database, Kuolin Hsu authored at least 16 papers between 1997 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Predicting environmental suitability and future spread range of An. stephensi in the Greater Horn of Africa using remote sensing and ensemble modeling.

Jinyang Li, Ming-Chieh Lee, Ai-Ling Jiang, Guiyun Yan, Kuolin Hsu

Int. J. Appl. Earth Obs. Geoinformation, 2026

2025

Fine-tuning long short-term memory models for seamless transition in hydrological modelling: From pre-training to post-application.

Xingtian Chen, Yuhang Zhang, Aizhong Ye, Jinyang Li, Kuolin Hsu, Soroosh Sorooshian

Environ. Model. Softw., 2025

2021

Error Characteristics and Scale Dependence of Current Satellite Precipitation Estimates Products in Hydrological Modeling.

Yuhang Zhang, Aizhong Ye, Phu Nguyen, Bita Analui, Soroosh Sorooshian, Kuolin Hsu

Remote. Sens., 2021

2020

Bias Correction of Satellite-Based Precipitation Estimations Using Quantile Mapping Approach in Different Climate Regions of Iran.

Pari-Sima Katiraie-Boroujerdy, Matin Rahnamay Naeini, Ata Akbari Asanjan, Ali Chavoshian, Kuo-lin Hsu, Soroosh Sorooshian

Remote. Sens., 2020

Deep Neural Network Cloud-Type Classification (DeepCTC) Model and Its Application in Evaluating PERSIANN-CCS.

Vesta Afzali Gorooh, Subodh Kalia, Phu Nguyen, Kuo-lin Hsu, Soroosh Sorooshian, Sangram Ganguly, Ramakrishna R. Nemani

Remote. Sens., 2020

Improving near real-time precipitation estimation using a U-Net convolutional neural network and geographical information.

Mojtaba Sadeghi, Phu Nguyen, Kuolin Hsu, Soroosh Sorooshian

Environ. Model. Softw., 2020

2019

Evaluation of PERSIANN-CDR Constructed Using GPCP V2.2 and V2.3 and A Comparison with TRMM 3B42 V7 and CPC Unified Gauge-Based Analysis in Global Scale.

Mojtaba Sadeghi, Ata Akabri Asanjan, Mohammad Faridzad, Vesta Afzali Gorooh, Phu Nguyen, Kuolin Hsu, Soroosh Sorooshian, Dan Braithwaite

Remote. Sens., 2019

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN.

Negin Hayatbini, Bailey Kong, Kuo-lin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme Stephens, Charless C. Fowlkes, Ramakrishna R. Nemani

Remote. Sens., 2019

2018

Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework.

Matin Rahnamay Naeini, Tiantian Yang, Mojtaba Sadegh, Amir Aghakouchak, Kuo-Lin Hsu, Soroosh Sorooshian, Qingyun Duan, Xiaohui Lei

Environ. Model. Softw., 2018

Effective Cloud Detection and Segmentation using a Gradient-Based Algorithm for Satellite Imagery; Application to improve PERSIANN-CCS.

Negin Hayatbini, Kuo-lin Hsu, Soroosh Sorooshian, Yunji Zhang, Fuqing Zhang

CoRR, 2018

2017

Impact Analysis of Climate Change on Snow over a Complex Mountainous Region Using Weather Research and Forecast Model (WRF) Simulation and Moderate Resolution Imaging Spectroradiometer Data (MODIS)-Terra Fractional Snow Cover Products.

Xiaoduo Pan, Xin Li, Guodong Cheng, Rensheng Chen, Kuolin Hsu

Remote. Sens., 2017

Toward an Integrated Approach to Localizing Failures in Community Water Networks (DEMO).

Qing Han, Phu Nguyen, Ronald T. Eguchi, Kuo-Lin Hsu, Nalini Venkatasubramanian

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Toward An Integrated Approach to Localizing Failures in Community Water Networks.

Qing Han, Phu Nguyen, Ronald T. Eguchi, Kuo-Lin Hsu, Nalini Venkatasubramanian

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016

Object-Based Assessment of Satellite Precipitation Products.

Jingjing Li, Kuolin Hsu, Amir Aghakouchak, Soroosh Sorooshian

Remote. Sens., 2016

Deep neural networks for precipitation estimation from remotely sensed information.

Yumeng Tao, Xiaogang Gao, Alexander Ihler, Kuolin Hsu, Soroosh Sorooshian

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

1997

Superior training of artificial neural networks using weight-space partitioning.

Hoshin V. Gupta, Kuo-lin Hsu, Soroosh Sorooshian

Proceedings of International Conference on Neural Networks (ICNN'97), 1997