Wei Sun

ORCID: 0000-0003-3186-1156
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About
Contact & Profiles
Research Areas
  • Water resources management and optimization
  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Water-Energy-Food Nexus Studies
  • Flood Risk Assessment and Management
  • Optimization and Mathematical Programming
  • Arctic and Antarctic ice dynamics
  • Climate change and permafrost
  • Water Systems and Optimization
  • Air Quality and Health Impacts
  • Air Quality Monitoring and Forecasting
  • Municipal Solid Waste Management
  • Multi-Criteria Decision Making
  • Composting and Vermicomposting Techniques
  • Transportation Planning and Optimization
  • Atmospheric chemistry and aerosols
  • Advanced Image and Video Retrieval Techniques
  • Wastewater Treatment and Reuse
  • Regional Development and Environment
  • Remote-Sensing Image Classification
  • Land Use and Ecosystem Services
  • Image Retrieval and Classification Techniques
  • Vehicle emissions and performance
  • Process Optimization and Integration
  • Energy, Environment, and Transportation Policies

Sun Yat-sen University
2015-2025

Shanghai University of Finance and Economics
2023-2024

Chinese Academy of Sciences
2014-2024

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2020-2024

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2020-2024

Guangzhou Institute of Geochemistry
2024

Harbin Institute of Technology
2009-2023

Hengtong Optoelectronic (China)
2023

Aerospace Information Research Institute
2021

University of Chinese Academy of Sciences
2020-2021

Two recent large-scale genome-wide association studies identified significant associations between myopia and single nucleotide polymorphisms (SNPs) near the PRSS56, BMP3, KCNQ5, LAMA2, TOX, TJP2, RDH5, ZIC2, RASGRF1, GJD2, RBFOX1, SHISA6 genes. Our study is to examine whether rare variants in these genes contribute high myopia.Whole-exome sequencing was performed on samples of 298 probands with early-onset (eoHM; spherical refraction each meridian ≤ -6.00 [diopters] D both eyes; age onset <...

10.1167/iovs.14-14880 article EN Investigative Ophthalmology & Visual Science 2015-01-13

In the current paper, efficiency of three new standalone data-mining algorithms [M5 Prime (M5P), Random Forest (RF), M5Rule (M5R)] and six novel hybrid bagging (BA-M5P, BA-RF BA-M5R) Attribute Selected Classifier (ASC-M5P, ASC-RF ASC-M5R) for streamflow prediction were assessed compared with an autoregressive integrated moving average (ARIMA) model as a benchmark. The models used precipitation (P) (Q) data from period 1979–2012 training validation (70% 30% data, respectively). Different...

10.1080/02626667.2021.1928673 article EN Hydrological Sciences Journal 2021-05-12

Abstract The Athabasca River is the largest unregulated river in Alberta, Canada, with ice jams frequently occurring vicinity of Fort McMurray. Modelling tools are desired to forecast ice‐related flood events. Multiple model combination methods can often obtain better predictive performances than any member models due possible variance reduction errors or correction biases. However, few applications this method forecasting reported. Thus, a framework multiple for maximum breakup water level...

10.1002/hyp.11429 article EN Hydrological Processes 2017-12-26

ABSTRACT This study offers a novel perspective by assessing the impacts of climate change on hydrological processes, with specific focus spatial and temporal dynamics blue green water components in Hanjiang River basin southern China under various shared socioeconomic pathway (SSP) scenarios. Twelve global models (GCMs) from coupled model intercomparison project phase 6 (CMIP6) were downscaled using delta method, producing future scenarios for near (2031–2060) far (2061–2090) time windows...

10.1002/hyp.70096 article EN Hydrological Processes 2025-02-01

Andun river basin of Southern China and 273 watersheds across the continental United States. Owing to data incompleteness changing environment, there is bias existing in driven models for streamflow prediction, greatly limiting their application actual practice. In this paper, we incorporate learning components into establish mapping-bias-learning models, design two groups experiments, one River other States (CONUS). first group respectively apply three machine algorithms traditional...

10.1016/j.ejrh.2023.101557 article EN cc-by Journal of Hydrology Regional Studies 2023-10-24

Visual secret sharing (VSS) is a way to protect image among group of participants by using the notions perfect ciphers and sharing. However, each share generated conventional VSS m times as big original image, where called pixel expansion. Random grid (RG) an alternative approach implement without reported RG-based methods are threshold schemes. In this study, for general access structures presented. Secret encoded into n RGs while qualified sets can recover visually forbidden cannot. The...

10.1049/iet-ifs.2012.0046 article EN IET Information Security 2012-12-13

10.1016/j.scitotenv.2018.07.001 article EN The Science of The Total Environment 2018-07-14
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