Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data.

Newton's Cooling Law-Based Oversampling Technique for Handling Imbalanced Data in Software Defect Prediction.

A Heat Decay Model-Based Hybrid Sampling Algorithm for Imbalanced Overlapping Datasets.

Provable Unrestricted Adversarial Training Without Compromise With Generalizability.

A greedy randomized adaptive search procedure (GRASP) for minimum 2-fold connected dominating set problem.

A greedy randomized adaptive search procedure (GRASP) for minimum weakly connected dominating set problem.

ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation.

Estimation of Daily Terrestrial Latent Heat Flux with High Spatial Resolution from MODIS and Chinese GF-1 Data.

Discrepancies in the Simulated Global Terrestrial Latent Heat Flux from GLASS and MERRA-2 Surface Net Radiation Products.

Merging the MODIS and Landsat Terrestrial Latent Heat Flux Products Using the Multiresolution Tree Method.

Assessing the Remotely Sensed Evaporative Drought Index for Drought Monitoring over Northeast China.

Long-Term Spatiotemporal Dynamics of Terrestrial Biophysical Variables in the Three-River Headwaters Region of China from Satellite and Meteorological Datasets.

Satellite-Derived Spatiotemporal Variations in Evapotranspiration over Northeast China during 1982-2010.

MODIS-Based Estimation of Terrestrial Latent Heat Flux over North America Using Three Machine Learning Algorithms.

Corpus-based research on English word recognition rates in primary school and word selection strategy.

Differences in estimating terrestrial water flux from three satellite-based Priestley-Taylor algorithms.