Yiting Shao

ORCID: 0000-0003-1475-4172
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About
Contact & Profiles
Research Areas
  • Hydrology and Watershed Management Studies
  • Soil erosion and sediment transport
  • Dental Radiography and Imaging
  • Hydrology and Sediment Transport Processes
  • Anatomy and Medical Technology
  • Cryospheric studies and observations
  • Environmental Changes in China
  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Digital Imaging in Medicine
  • Regional Development and Environment
  • Water Quality Monitoring Technologies
  • Meteorological Phenomena and Simulations
  • Flood Risk Assessment and Management
  • Climate variability and models
  • Soil and Water Nutrient Dynamics
  • Optical measurement and interference techniques
  • Computer Graphics and Visualization Techniques
  • Environmental and Agricultural Sciences

Zhejiang University of Water Resource and Electric Power
2024

Peking University
2024

Peng Cheng Laboratory
2024

Chinese Academy of Sciences
2019-2021

Ministry of Water Resources of the People's Republic of China
2019-2021

UCLA Health
2021

University of Chinese Academy of Sciences
2019-2021

Institute of Soil and Water Conservation
2019-2021

The substantial data volume within dynamic point clouds representing three-dimensional moving entities necessitates advancements in compression techniques. Motion estimation (ME) is crucial for reducing cloud temporal redundancy. Standard block-based ME schemes, which typically utilize the previously decoded as inter-reference frames, often yield inaccurate and translation-only estimates clouds. To overcome this limitation, we propose an advanced patch-based affine scheme geometry...

10.3390/s24103142 article EN cc-by Sensors 2024-05-15

There is a pressing need across various applications for efficiently compressing point clouds. While the Moving Picture Experts Group introduced geometry-based cloud compression (G-PCC) standard, its attribute scheme falls short of eliminating signal frequency-domain redundancy. This paper proposes texture-guided graph transform optimization compression. We formulate coding task as problem, considering both decorrelation capability and sparsity optimized within tailored joint framework....

10.3390/app14104094 article EN cc-by Applied Sciences 2024-05-11

Abstract Investigation of the variations in runoff, sediment load, and their dynamic relation is conducive to understanding hydrological regime changes supporting channel regulation fluvial management. This study undertaken Xihanshui catchment, which known for its high sediment‐laden Jialing River Yangtze basin, southern China, evaluate change characteristics relationship at multi‐temporal scales from 1966 2016. The results showed that runoff changed significantly more months, whereas...

10.1002/hyp.14297 article EN Hydrological Processes 2021-06-29

In recent years, the runoff of numerous rivers has experienced substantial changes owing to dual influences climate change and human activities. This study focuses on Lixian hydrological station’s controlled basin, located in upper reaches Jialing River China. The objective is assess quantify impacts activities variations. analyzed variations from 1960 2016 employed Soil Water Assessment Tool (SWAT) model, long short-term memory (LSTM) eight Budyko framework formulations factors influencing...

10.3390/rs16132481 article EN cc-by Remote Sensing 2024-07-06

Patient's understanding on forthcoming dental surgeries is required by patient-centered care and helps reduce anxiety. Due to the complexity of patient-dentist expertise gap, conventional techniques patient education are usually not effective for explaining surgical steps. In this paper, we present OralViewer—the first interactive application that enables dentist's demonstration in 3D promote patients' understanding. OralViewer takes a single 2D panoramic X-ray reconstruct patient-specific...

10.1145/3397481.3450695 article EN 2021-04-14

Determining the relative roles of climatic versus anthropogenic factors in runoff alterations is important for sustainable water resource utilization and basin management. The Danjiang River watershed a crucial area middle route South-to-North Water Transfer Project. In this study, four widely used quantitative methods, including simple linear regression, double mass curve, paired year with similar climate conditions, an elasticity method based on Budyko framework were applied to detect...

10.3390/su16177600 article EN Sustainability 2024-09-02

Soil erosion has always been a critical issue confronting watershed environments, impacting the progress of sustainable development. As an increasing number countries turn their attention to this problem, numerous policies have enacted halt progression soil erosion. However, policy-driven interventions often lead significant changes in vegetation coverage, under which circumstances, original sediment models may fall short terms simulation accuracy. Taking Kuye River as research subject,...

10.3390/su16229633 article EN Sustainability 2024-11-05

Investigation of the variations in runoff and sediment load as well their dynamic relation is conducive to understanding hydrological regimes changes supporting channel regulation fluvial management. This study was undertaken Xihanshui catchment, which known for its high sediment-laden Jialing River Yangtze basin, southern China, evaluate change characteristics runoff, relationship at multi-temporal scales from 1966 2016. The results showed that monthly changed significantly more months...

10.22541/au.160861582.23808165/v1 preprint EN cc-by Authorea (Authorea) 2020-12-22

Patient's understanding on forthcoming dental surgeries is required by patient-centered care and helps reduce fear anxiety. Due to the gap of expertise between patients dentists, conventional techniques patient education are usually not effective for explaining surgical steps. In this paper, we present \textit{OralViewer} -- first interactive application that enables dentist's demonstration in 3D promote patients' understanding. takes a single 2D panoramic X-ray reconstruct patient-specific...

10.48550/arxiv.2101.00098 preprint EN cc-by arXiv (Cornell University) 2021-01-01
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