- Dam Engineering and Safety
- Groundwater flow and contamination studies
- Landslides and related hazards
- Geotechnical Engineering and Underground Structures
- Soil and Unsaturated Flow
- Hydrology and Watershed Management Studies
- CO2 Sequestration and Geologic Interactions
- Hydrology and Sediment Transport Processes
- Enhanced Oil Recovery Techniques
- Grouting, Rheology, and Soil Mechanics
- Soil erosion and sediment transport
- Hydraulic Fracturing and Reservoir Analysis
- Environmental Impact and Sustainability
- Language Development and Disorders
- Water-Energy-Food Nexus Studies
- Rock Mechanics and Modeling
- Statistical Methods and Inference
- Concrete and Cement Materials Research
- Reading and Literacy Development
- Tailings Management and Properties
- Hydraulic flow and structures
- Advanced Measurement and Detection Methods
- Environmental Changes in China
- Recycling and utilization of industrial and municipal waste in materials production
- Irrigation Practices and Water Management
Hohai University
2011-2025
Xi'an University of Technology
2013-2024
Yellow River Institute of Hydraulic Research
2024
Inner Mongolia University
2024
Longy School of Music of Bard College
2021-2024
Xi'an University of Architecture and Technology
2024
China Institute of Finance and Capital Markets
2024
University of Colorado Boulder
2024
China Institute of Water Resources and Hydropower Research
2023
Ministry of Water Resources of the People's Republic of China
2023
Discriminative neural networks offer little or no performance guarantees when deployed on data not generated by the same process as training distribution. On such out-of-distribution (OOD) inputs, prediction may only be erroneous, but confidently so, limiting safe deployment of classifiers in real-world applications. One challenging application is bacteria identification based genomic sequences, which holds promise early detection diseases, requires a model that can output low confidence...
Abstract Submarine groundwater discharge from subterranean estuaries is affected by tides, which are represented in computational models as time‐dependent boundary conditions on the seaward boundary. Conventionally, a small time step used numerical model to phase‐resolve tidal signal so ensure accurate results, although at cost of excessive computation times for long‐term simulations. This study proposes highly efficient alternative method modeling signal, phase‐averaged pressure assigned...
Accurate uncertainty quantification is a major challenge in deep learning, as neural networks can make overconfident errors and assign high confidence predictions to out-of-distribution (OOD) inputs. The most popular approaches estimate predictive learning are methods that combine from multiple networks, such Bayesian (BNNs) ensembles. However their practicality real-time, industrial-scale applications limited due the memory computational cost. Furthermore, ensembles BNNs do not necessarily...
Abstract The safety evaluation of operating water transfer tunnels lacks sufficient research, particularly in integrating monitoring and detection information for a comprehensive assessment. Therefore, this paper proposes method assessment by based on evidence theory. involves establishing an index system tunnels. It utilizes basic probability assignment construction equal interval numbers improved Analytic Hierarchy Process to obtain the assignments information. weights are determined using...
In the lining of water conveyance tunnels, expansion joint is susceptible to leakage issues, significantly impacting long-term safety tunnel operations. Polyurea a type protective coating commonly used on concrete surfaces, offering multiple advantages such as resistance seepage, erosion, and wear. coatings are applied by spraying them onto surfaces linings in tunnels seal joint. These endure prolonged exposure environmental elements flow internal external pressure, temperature variations....
The corrosion of concrete structures by chloride salt is very significant in coastal environments. In order to improve the durability marine structures, cement-based materials with high need be developed. this investigation, influence NaCl freeze–thaw cycles (FT-C) and dry-wet alternations (DW-A) on flexural compressive strengths reactive powder (RPC) an assembly unit basalt fibers steel studied. Additionally, mass loss rate, relative dynamic modulus elasticity (RDEM), ion migration...
Abstract This study investigates neural processes in infant speech processing, with a focus on left frontal brain regions and hemispheric lateralization Mandarin-speaking infants' acquisition of native tonal categories. We tested 2- to 6-month-old Mandarin learners explore age-related improvements tone discrimination, the role inferior abstract category representation, hemisphere during processing. Using block design, we presented four tones via [ta] measured oxygenated hemoglobin...
Large volumes of carbon dioxide (CO2 ) captured from emission source can be stored in deep saline aquifers as a mean mitigating climate change. The are naturally heterogeneous at multiple scales. It is important to generate representative multiscale fields various hydrogeologic properties and understand storage safety by studying CO2 migration distribution such fields. In this work, new model with partly fine multi-facies domain proposed. A method based on transition probability theory...
Abstract Multiplexed single-cell proteomes (SCPs) quantification by mass spectrometry greatly improves the SCP coverage. However, it still suffers from a low number of protein identifications and there is much room to boost proteins identification computational methods. In this study, we present novel framework DeepSCP, utilizing deep learning DeepSCP constructs series features peptide-spectrum matches (PSMs) predicting retention time based on multiple sample sets fragment ion intensities...