Yuekui Yang
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View article: Tracking the source: First evidence of Benzothiazoles in outdoor airport aerosol
Tracking the source: First evidence of Benzothiazoles in outdoor airport aerosol Open
View article: RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning
RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning Open
Advertisement (Ad) video violation detection is critical for ensuring platform compliance, but existing methods struggle with precise temporal grounding, noisy annotations, and limited generalization. We propose RAVEN, a novel framework th…
View article: AEFS: Adaptive Early Feature Selection for Deep Recommender Systems
AEFS: Adaptive Early Feature Selection for Deep Recommender Systems Open
Feature selection has emerged as a crucial technique in refining recommender systems. Recent advancements leveraging Automated Machine Learning (AutoML) has drawn significant attention, particularly in two main categories: early feature se…
View article: ICESat‐2 Lidar Estimates of Clear‐Sky Precipitation Over the East Antarctic Plateau
ICESat‐2 Lidar Estimates of Clear‐Sky Precipitation Over the East Antarctic Plateau Open
Precipitation over Antarctica plays a critical role in determining the mass balance of the ice sheet, yet it remains poorly quantified due to the harsh environment and sparse number of observations. Over the East Antarctic Plateau, clear‐s…
View article: Decadal observations of global daytime cloud properties from DSCOVR–EPIC
Decadal observations of global daytime cloud properties from DSCOVR–EPIC Open
This study presents a decadal analysis of global daytime cloud properties using observations from the Earth Polychromatic Imaging Camera (EPIC) aboard the Deep Space Climate Observatory (DSCOVR) satellite from July 2015 to December 2024. W…
View article: Machine Learning Model Optimization for Antarctic Blowing Snow Height and Optical Depth Diagnosis
Machine Learning Model Optimization for Antarctic Blowing Snow Height and Optical Depth Diagnosis Open
Blowing snow is a common phenomenon over the Antarctic ice sheet and sea ice regions, playing a crucial role in the Antarctic climate system. Previous research developed an optimized machine learning (ML) model to diagnose blowing snow occ…
View article: RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning
RAVEN: Robust Advertisement Video Violation Temporal Grounding via Reinforcement Reasoning Open
View article: Global cloud optical depth daily variability based on DSCOVR/ EPIC observations
Global cloud optical depth daily variability based on DSCOVR/ EPIC observations Open
When investigating the potential effects of cloud changes on climate, the interday and intraday variabilities should be distinguished. Historically, studies have focused on the long-term cloud changes, and the intraday cycles of cloud prop…
View article: FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization
FlexHB: a More Efficient and Flexible Framework for Hyperparameter Optimization Open
Given a Hyperparameter Optimization(HPO) problem, how to design an algorithm to find optimal configurations efficiently? Bayesian Optimization(BO) and the multi-fidelity BO methods employ surrogate models to sample configurations based on …
View article: Lidar attenuation coefficient in the global oceans: insights from ICESat-2 mission
Lidar attenuation coefficient in the global oceans: insights from ICESat-2 mission Open
The attenuation coefficient of natural waters plays a significant role in our understanding of hydrology from both the oceanographic and biological point of view. The advent of near-continuous observations by sophisticated space-based lida…
View article: Evaluation of EPIC oxygen bands stability with radiative transfer simulations over the South Pole
Evaluation of EPIC oxygen bands stability with radiative transfer simulations over the South Pole Open
View article: Reconstructing PM2.5 Data Record for the Kathmandu Valley Using a Machine Learning Model
Reconstructing PM2.5 Data Record for the Kathmandu Valley Using a Machine Learning Model Open
This paper presents a method for reconstructing the historical hourly concentrations of Particulate Matter 2.5 (PM2.5) over the Kathmandu Valley from 1980 to the present. The method uses a machine learning model that is trained using PM2.5…
View article: Lidar attenuation coefficient in the global oceans: insights from ICESat-2 mission
Lidar attenuation coefficient in the global oceans: insights from ICESat-2 mission Open
The attenuation coefficient of natural waters plays a significant role in our understanding of hydrology from both the oceanographic and biological point of view. The advent of near-continuous observations by sophisticated space-based lida…
View article: Lidar attenuation coefficient in the global oceans: insights from ICESat-2 mission
Lidar attenuation coefficient in the global oceans: insights from ICESat-2 mission Open
The attenuation coefficient of natural waters plays a significant role in our understanding of hydrology from both the oceanographic and biological point of view. The advent of near-continuous observations by sophisticated space-based lida…
View article: Dust transport enhanced land surface weatherability in a cooling world
Dust transport enhanced land surface weatherability in a cooling world Open
The weatherability of exposed silicate rocks drives the efficiency of climatic feedback on the geological carbon cycle through silicate weathering.However, the controls and evolution of land surface weatherability are not fully understood.…
View article: Impact of Clouds and Blowing Snow on Surface and Atmospheric Boundary Layer Properties Over Dome C, Antarctica
Impact of Clouds and Blowing Snow on Surface and Atmospheric Boundary Layer Properties Over Dome C, Antarctica Open
Clouds and blowing snow (BLSN) occur frequently over Antarctica, where it is critical to understand their feedbacks to surface and atmospheric boundary layer processes. Dome C, an elevated East Antarctic station, dominated by lengthy perio…
View article: Nearshore bathymetry and seafloor property studies from Space lidars: CALIPSO and ICESat-2
Nearshore bathymetry and seafloor property studies from Space lidars: CALIPSO and ICESat-2 Open
In shallow nearshore waters, seafloor heights and properties can be accurately measured by the current generation of space-based elastic backscatter lidars: CALIOP, flying aboard the CALIPSO satellite and ATLAS aboard ICESat-2. CALIOP’s 53…
View article: Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses
Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses Open
The application of diffusion theory and Monte Carlo lidar radiative transfer simulations presented in Part I of this series of study suggests that snow depth can be derived from the first-, second- and third-order moments of the lidar back…
View article: A Survey on Dropout Methods and Experimental Verification in Recommendation
A Survey on Dropout Methods and Experimental Verification in Recommendation Open
Overfitting is a common problem in machine learning, which means the model too closely fits the training data while performing poorly in the test data. Among various methods of coping with overfitting, dropout is one of the representative …
View article: EPIC/DSCOVR as a Pathfinder in Cloud Remote Sensing Using Differential Oxygen Absorption Spectroscopy
EPIC/DSCOVR as a Pathfinder in Cloud Remote Sensing Using Differential Oxygen Absorption Spectroscopy Open
We argue that the Earth Polychromatic Imaging Camera (EPIC) on the Deep Space Climate ObserVatoRy (DSCOVR) platform has blazed new pathways in observational technology, starting with its ∼ 1.5 × 106 km stand-off distance, but also in remot…
View article: Cloud Height Daytime Variability From DSCOVR/EPIC and GOES-R/ABI Observations
Cloud Height Daytime Variability From DSCOVR/EPIC and GOES-R/ABI Observations Open
One of the largest uncertainties in climate sensitivity predictions is the influence of clouds. While some aspects of cloud formation and evolution are well understood, others such as the diurnal variability of their heights remains largel…
View article: New Ocean Subsurface Optical Properties From Space Lidars: CALIOP/CALIPSO and ATLAS/ICESat‐2
New Ocean Subsurface Optical Properties From Space Lidars: CALIOP/CALIPSO and ATLAS/ICESat‐2 Open
Remote sensing from Earth‐observing satellites is now providing valuable information about ocean phytoplankton distributions. This paper presents the new ocean subsurface optical properties obtained from two space‐based lidars: the Cloud‐A…
View article: ICESat‐2 Atmospheric Channel Description, Data Processing and First Results
ICESat‐2 Atmospheric Channel Description, Data Processing and First Results Open
The Advanced Topographic Laser Altimeter System (ATLAS) was launched aboard the Ice Cloud and land‐Elevation Satellite‐2 (ICESat‐2) satellite in September 2018. ATLAS is a single wavelength (532 nm) lidar system designed to acquire high re…
View article: Cloud Detection Over Sunglint Regions With Observations From the Earth Polychromatic Imaging Camera
Cloud Detection Over Sunglint Regions With Observations From the Earth Polychromatic Imaging Camera Open
With the ability to observe the entire sunlit side of the Earth, EPIC data have become an important resource for studying cloud daily variability. Inaccurate cloud masking is a great source of uncertainty. One main region that is prone to …
View article: Enabling Value Added Scientific Applications of ICESat‐2 Data With Effective Removal of Afterpulses
Enabling Value Added Scientific Applications of ICESat‐2 Data With Effective Removal of Afterpulses Open
The Advanced Topographic Laser Altimeter System (ATLAS) aboard the Ice, Cloud, and land Elevation Satellite‐2 (ICESat‐2) has been making very high resolution measurements of the Earth’s surface elevation since October 2018. ATLAS uses phot…
View article: New ocean subsurface optical properties from space lidars: CALIOP/CALIPSO and ATLAS/ICESat-2
New ocean subsurface optical properties from space lidars: CALIOP/CALIPSO and ATLAS/ICESat-2 Open
Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Earth and Space Science. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more ab…
View article: Study of Antarctic Blowing Snow Storms Using MODIS and CALIOP Observations With a Machine Learning Model
Study of Antarctic Blowing Snow Storms Using MODIS and CALIOP Observations With a Machine Learning Model Open
As a common phenomenon over Antarctica, blowing snow (BLSN), especially the large BLSN storms, play an important role in the Antarctic surface mass balance, radiation budget, and planetary boundary layer processes. This study presents the …
View article: Cloud-top pressure retrieval with DSCOVR EPIC oxygen A- and B-band observations
Cloud-top pressure retrieval with DSCOVR EPIC oxygen A- and B-band observations Open
An analytic transfer inverse model for Earth Polychromatic Imaging Camera (EPIC) observations is proposed to retrieve the cloud-top pressure (CTP) with the consideration of in-cloud photon penetration. In this model, an analytic equation w…
View article: Antarctic spring ice-edge blooms observed from space by ICESat-2
Antarctic spring ice-edge blooms observed from space by ICESat-2 Open
Polar ocean ecosystems are experiencing rapid environmental change, but measuring the associated phytoplankton responses is challenging using traditional satellite passive ocean color measurements due to signal contamination from clouds an…
View article: Cloud detection over snow and ice with oxygen A- and B-band observations from the Earth Polychromatic Imaging Camera (EPIC)
Cloud detection over snow and ice with oxygen A- and B-band observations from the Earth Polychromatic Imaging Camera (EPIC) Open
Satellite cloud detection over snow and ice has been difficult for passive remote sensing instruments due to the lack of contrast between clouds and cold/bright surfaces; cloud mask algorithms often heavily rely on shortwave infrared (IR) …