A5030670883- Geographic Information Systems Studies
- Data Management and Algorithms
- Human Mobility and Location-Based Analysis
- Service-Oriented Architecture and Web Services
- Remote Sensing and LiDAR Applications
- Advanced Computational Techniques and Applications
- Traffic Prediction and Management Techniques
- Land Use and Ecosystem Services
- Distributed and Parallel Computing Systems
- Advanced Image and Video Retrieval Techniques
- Remote-Sensing Image Classification
- Urban Transport and Accessibility
- Semantic Web and Ontologies
- Remote Sensing and Land Use
- Caching and Content Delivery
- Remote Sensing in Agriculture
- Automated Road and Building Extraction
- Scientific Computing and Data Management
- Mobile Ad Hoc Networks
- Web Data Mining and Analysis
- 3D Surveying and Cultural Heritage
- 3D Modeling in Geospatial Applications
- Impact of Light on Environment and Health
- Complex Network Analysis Techniques
- Advanced Database Systems and Queries
Wuhan University
2016-2025
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2016-2025
Central South University
2022-2025
Xiangya Hospital Central South University
2024
Hubei University
2000-2023
Peking University
2022
Southern University of Science and Technology
2022
In-Q-Tel
2022
South China Institute of Collaborative Innovation
2021
Wuhan University of Science and Technology
2019
Contemporary physical science studies rely on the effective analyses of geographically dispersed spatial data and simulations phenomena. Single computers generic high-end computing are not sufficient to process for complex analysis simulations, which can be successfully supported only through distributed computing, best optimized application principles. Spatial aspect a cyberinfrastructure, refers paradigm that utilizes principles optimize catalyze advancements in sciences. govern...
Abstract Clustering is a powerful machine learning method for discovering similar patterns according to the proximity of elements in feature space. It widely used computer science, bioscience, geoscience, and economics. Although state-of-the-art partition-based connectivity-based clustering methods have been developed, weak connectivity heterogeneous density data impede their effectiveness. In this work, we propose boundary-seeking algorithm using local Direction Centrality (CDC). adopts...
Land surfaces dissipate energy through latent (LE) and sensible (H) heat fluxes that modulate atmospheric temperature humidity, which in return affect land surface vegetation soil processes. Within this two-way land-atmosphere coupling, partitioning (LE versus H) plays a central role connecting the atmosphere states fluxes. However, considerably large uncertainties still exist earth system models, i.e. phase 6 of Coupled Model Intercomparison Project (CMIP6). Further, underlying controls...
Wetland CH4 emissions are among the most uncertain components of global budget. The complex nature wetland processes makes it challenging to identify causal relationships for improving our understanding and predictability emissions. In this study, we used flux measurements from eddy covariance towers (30 sites 4 wetlands types: bog, fen, marsh, wet tundra) construct a causality-constrained machine learning (ML) framework explain regulative factors capture at sub-seasonal scale. We found that...
Abstract. African and South American (ASA) wildfires account for more than 70 % of global burned areas have strong connection to local climate sub-seasonal seasonal wildfire dynamics. However, representation the wildfire–climate relationship remains challenging due spatiotemporally heterogenous responses variability human influences. Here, we developed an interpretable machine learning (ML) fire model (AttentionFire_v1.0) resolve complex controls activities on better predict over ASA...
Optical imaging and phototherapy in deep tissues face notable challenges due to light scattering. We use encoded acoustic holograms generate three-dimensional fields within the target medium, enabling instantaneous robust modulation of volumetric refractive index, thereby noninvasively controlling trajectory light. Through this approach, we achieved a remarkable 24.3% increase tissue heating rate vitro photothermal effect tests on porcine skin. In vivo photoacoustic mouse brain vasculature...
City-wide traffic flow forecasting is a significant function of the Intelligent Transport System (ITS), which plays an important role in city management and public travel safety. However, this remains very challenging task that affected by many complex factors, such as road network distribution external factors (e.g., weather, accidents, holidays). In paper, we propose deep-learning-based multi-branch model called TFFNet (Traffic Flow Forecasting Network) to forecast short-term status (flow)...
Abstract Land-use and land-cover change significantly modify local land-surface characteristics water/energy exchanges, which can lead to atmospheric circulation regional climate changes. In particular, deforestation accounts for a large portion of global land-use changes, transforms forests into other land cover types, such as croplands grazing lands. Many previous efforts have focused on observing modeling land–atmosphere–water/energy fluxes investigate land–atmosphere coupling induced by...
Transdermal drug delivery (TDD) is an attractive alternative to oral and hypodermic injection administration, poised increase its impact on medicine pharmaceutical design. Microneedles (MNs) are a new minimally invasive TDD method widely used in cosmetology. MNs create microscale channel from the stratum corneum dermis enable of hydrophilic macromolecular into skin. Although allow different drugs penetrate corneum, they cannot provide extra driving force for transport tissue. To overcome...
Abstract. Wildfire is an important ecosystem process, influencing land biogeophysical and biogeochemical dynamics atmospheric composition. Fire-driven loss of vegetation cover, for example, directly modifies the surface energy budget as a consequence changing albedo, roughness, partitioning sensible latent heat fluxes. Carbon dioxide methane emitted by fires contribute to positive forcing, whereas emissions carbonaceous aerosols may cooling. Process-based modeling wildfires in Earth system...
Abstract Keloids are benign fibroproliferative tumors that severely diminish the quality of life due to discomfort, dysfunction, and disfigurement. Recently, ultrasound technology as a noninvasive adjuvant therapy is developed optimize treatment protocols. However, biophysical mechanisms have not yet been fully elucidated. Here, it proposed piezo‐type mechanosensitive ion channel component 1 (Piezo1) plays an important role in low‐frequency sonophoresis (LFS) induced mechanical transduction...
With over a million cases detected each year, skin disease is global public health problem that diminishes the quality of life due to its difficulty eradicate, propensity for recurrence, and potential post-treatment scarring. Photodynamic therapy (PDT) treatment with minimal invasiveness or scarring few side effects, making it well tolerated by patients. However, this requires further research development improve effective clinical use. Here, piezoelectric-driven microneedle (PDMN) platform...
Existing methods that incorporate spatial information into a traditional Bag-of-Visual-Words (BoVW) model consider the arrangement of an image but ignore pixel homogeneity in land-use remote sensing images. In this letter, we present improved correlaton to jointly integrate appearance, correlation, and using multiscale segmentation. The effectiveness proposed method was tested on ground truth data set 21 classes manually extracted from high-resolution experimental results demonstrate our can...
Airborne light detection and ranging (lidar) has become a powerful support for acquiring geospatial data in numerous applications analyses. However, the process of extracting ground points accurately effectively from raw point clouds remains big challenge. This study presents an improved top-hat filter with sloped brim to enhance robustness extraction complex objects terrains. The transformation is executed elevation change intensity transitions between obtained top-hats outer brims...